House_image_classification.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8d832d52",
   "metadata": {},
   "source": [
    "# Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f85c3774",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "import keras\n",
    "import os\n",
    "import cv2\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Conv2D , MaxPool2D ,Flatten , Dense, Dropout\n",
    "from keras.utils import to_categorical\n",
    "from keras.layers import Convolution2D , MaxPooling2D , Dense , Dropout , Flatten\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "893edbfa",
   "metadata": {},
   "source": [
    "# Assigning path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a0f36b45",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_path = r\"House Dataset\\Training\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d9b85b2",
   "metadata": {},
   "source": [
    "# Creating categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1d82341a",
   "metadata": {},
   "outputs": [],
   "source": [
    "category = ['House' , 'Not House'] ## so index for this is 0,1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84b8bc9d",
   "metadata": {},
   "source": [
    "# Create Training Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3549f907",
   "metadata": {},
   "outputs": [],
   "source": [
    "image_size =200         # Resizing images into 200 X 200\n",
    "\n",
    "train_images = []        # empty list to append our images into numeric array format.\n",
    "                    \n",
    "train_images = []\n",
    "for i in category:\n",
    "    folder = os.path.join(train_path ,i)     # joining train folder and individual category folder path \n",
    "    label = category.index(i)            # assigining label to each folder\n",
    "    for image in os.listdir(folder):    # Itreating through all images in the path \"folder\"\n",
    "        image_path = os.path.join(folder , image)     # joining folder and image path  \n",
    "        image_array = cv2.imread(image_path)   # cv2. imread() method loads an image from the specified path\n",
    "        image_array =cv2.resize(image_array , (image_size , image_size) )        # Resizing images into 200 X 200\n",
    "        train_images.append([image_array , label])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "22136724",
   "metadata": {},
   "outputs": [
    {
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       "          [  6,  22,  39],\n",
       "          ...,\n",
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       "          [ 10,  24,  42],\n",
       "          [ 13,  27,  45],\n",
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       "          [232, 233, 231],\n",
       "          [231, 232, 229],\n",
       "          ...,\n",
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       "          [190, 188, 186],\n",
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       "          [218, 235, 244],\n",
       "          ...,\n",
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       "          ...,\n",
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       "          ...,\n",
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       "          [129, 144, 162],\n",
       "          ...,\n",
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       "          [124, 138, 157],\n",
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       "          [ 79, 120, 152],\n",
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       "          ...,\n",
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       "          [157, 185, 215],\n",
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       "          ...,\n",
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       "          ...,\n",
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       "          [243, 235, 236],\n",
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       "          [ 83, 111, 135],\n",
       "          ...,\n",
       "          [ 56,  74,  81],\n",
       "          [  8,  25,  22],\n",
       "          [  1,   9,   8]],\n",
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       "          [ 80, 111, 134],\n",
       "          [ 76, 107, 130],\n",
       "          ...,\n",
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       "          [100, 130, 155],\n",
       "          ...,\n",
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       "          [155, 168, 170],\n",
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       "          [157, 169, 175],\n",
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       "          [134, 147, 155],\n",
       "          ...,\n",
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       "          [157, 169, 175],\n",
       "          [157, 169, 175]],\n",
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       "          ...,\n",
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       "          [214, 169, 148]],\n",
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       "          [142, 136, 127]],\n",
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       "          [120, 106,  88],\n",
       "          ...,\n",
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       "          [144, 137, 128],\n",
       "          [142, 136, 127]],\n",
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       "          [144, 137, 128],\n",
       "          [142, 136, 127]],\n",
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       "          [ 86,  87,  91],\n",
       "          ...,\n",
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       "          [158, 148, 134]],\n",
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       "          [162, 151, 137]],\n",
       "  \n",
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       "          [244, 241, 240],\n",
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       "          [103,  97,  92]],\n",
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       "          ...,\n",
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       "          [156, 166, 173],\n",
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       "          [197, 207, 214],\n",
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       "          [156, 166, 173],\n",
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       "          [209, 217, 224],\n",
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       "          ...,\n",
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       "          [250, 250, 244],\n",
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       "          [68, 80, 84],\n",
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       "          [207, 210, 215],\n",
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       "          ...,\n",
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       "          [171, 170, 179],\n",
       "          ...,\n",
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       "          [139, 149, 166],\n",
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       "          [177, 180, 188],\n",
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       "          [114, 130, 142],\n",
       "          ...,\n",
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       "          ...,\n",
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       "          [178, 180, 180],\n",
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       "          [111, 120, 123],\n",
       "          ...,\n",
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       "          ...,\n",
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       "          [174, 173, 175],\n",
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       "          [223, 225, 226],\n",
       "          [225, 227, 227]],\n",
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       "          [177, 177, 177],\n",
       "          ...,\n",
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       "          [100, 105, 144],\n",
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       "          [171, 182, 190],\n",
       "          ...,\n",
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       "          [164, 170, 177]],\n",
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       "          [194, 190, 190],\n",
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       "          [196, 194, 196],\n",
       "          ...,\n",
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       "          [184, 182, 181],\n",
       "          ...,\n",
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       "          [178, 178, 178],\n",
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       "          ...,\n",
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       "          [171, 191, 202],\n",
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       "          ...,\n",
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       "          [158, 172, 191],\n",
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       "          ...,\n",
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       "          [185, 191, 196],\n",
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       "          [149, 166, 175],\n",
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       "          [244, 243, 253],\n",
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       "          ...,\n",
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       "          [ 46,  49,  64],\n",
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       "          [ 62,  79,  88]],\n",
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       "          [158, 169, 173],\n",
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       "          [149, 155, 162],\n",
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       "          [190, 195, 198],\n",
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       "          [144, 149, 150],\n",
       "          ...,\n",
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       "          ...,\n",
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       "          [ 41,  46,  49],\n",
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       "          [ 52,  55,  59],\n",
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       "          [ 45,  50,  53],\n",
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       "          [195, 202, 222],\n",
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       "          [171, 171, 187],\n",
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       "          [175, 176, 191],\n",
       "          ...,\n",
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       "          [165, 168, 177],\n",
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       "          [165, 179, 187],\n",
       "          ...,\n",
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       "          [164, 171, 186]],\n",
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       "          ...,\n",
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       "          [199, 203, 198]],\n",
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       "          [118, 121, 135],\n",
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       "          [110, 119, 129],\n",
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       "          [110, 118, 131],\n",
       "          [112, 120, 133]],\n",
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       "          [112, 161, 205],\n",
       "          [ 84, 129, 171],\n",
       "          ...,\n",
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       "          [ 65,  94, 138]],\n",
       "  \n",
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       "          [ 74, 111, 153],\n",
       "          ...,\n",
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       "          ...,\n",
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       "          [251, 251, 251],\n",
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       "          [246, 248, 248],\n",
       "          [246, 248, 248]],\n",
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       "          [251, 251, 251],\n",
       "          [251, 251, 251],\n",
       "          ...,\n",
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       "          [246, 248, 248],\n",
       "          [246, 248, 248]],\n",
       "  \n",
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       "          [251, 251, 251],\n",
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       "          [232, 239, 236],\n",
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       "          [214, 213, 211],\n",
       "          [213, 211, 210]],\n",
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       "          [ 49,  48,  50],\n",
       "          [ 52,  51,  55],\n",
       "          ...,\n",
       "          [212, 213, 211],\n",
       "          [214, 212, 211],\n",
       "          [213, 211, 210]],\n",
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       "          [ 51,  49,  55],\n",
       "          ...,\n",
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       "          [211, 212, 210],\n",
       "          [210, 211, 209]],\n",
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       "          [112, 122, 126],\n",
       "          [105, 116, 120],\n",
       "          ...,\n",
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       "          [182, 183, 179],\n",
       "          [184, 185, 181]],\n",
       "  \n",
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       "          [110, 119, 124],\n",
       "          ...,\n",
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       "          [184, 183, 181],\n",
       "          [180, 181, 178]],\n",
       "  \n",
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       "          ...,\n",
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       "          [172, 185, 192],\n",
       "          [172, 185, 192],\n",
       "          ...,\n",
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       "          [157, 169, 175],\n",
       "          [160, 170, 176]],\n",
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       "          [171, 186, 194],\n",
       "          ...,\n",
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       "          [102, 116, 129],\n",
       "          ...,\n",
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       "          [107, 113, 118],\n",
       "          [108, 114, 118]],\n",
       "  \n",
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       "          [ 98, 113, 125],\n",
       "          ...,\n",
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       "          [104, 112, 114],\n",
       "          [104, 112, 115]],\n",
       "  \n",
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       "          [101, 115, 126],\n",
       "          [102, 115, 127],\n",
       "          ...,\n",
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       "          [176, 174, 174]],\n",
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       "          [174, 172, 172],\n",
       "          [174, 172, 172],\n",
       "          ...,\n",
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       "          [176, 174, 174],\n",
       "          [175, 174, 174]],\n",
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       "          [175, 171, 172],\n",
       "          ...,\n",
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       "          [176, 172, 173]],\n",
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       "          [180, 184, 183],\n",
       "          [179, 184, 184],\n",
       "          ...,\n",
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       "          [168, 171, 176]],\n",
       "  \n",
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       "          [180, 184, 187],\n",
       "          ...,\n",
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       "          [172, 175, 180]],\n",
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       "          [183, 187, 188],\n",
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       "          [154, 188, 201],\n",
       "          [153, 187, 200],\n",
       "          ...,\n",
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       "          [166, 200, 213],\n",
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       "          [152, 186, 199],\n",
       "          ...,\n",
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       "          ...,\n",
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       "          [ 67, 123, 162]],\n",
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       "          [160, 166, 171],\n",
       "          ...,\n",
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       "          ...,\n",
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       "          ...,\n",
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       "          [ 32,  55,  94],\n",
       "          ...,\n",
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       "          [ 36,  58,  94],\n",
       "          ...,\n",
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       "          [131, 133, 133],\n",
       "          [129, 131, 131]],\n",
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       "          [214, 214, 220],\n",
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       "          [147, 147, 159],\n",
       "          ...,\n",
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       "          [148, 148, 156],\n",
       "          ...,\n",
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       "          [254, 254, 254],\n",
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       "          [134, 170, 192],\n",
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       "          [ 34,  36,  36],\n",
       "          [ 33,  35,  35],\n",
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       "          [ 88,  86,  76],\n",
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       "          [223, 228, 227],\n",
       "          [223, 228, 227],\n",
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       "          [239, 245, 244],\n",
       "          [239, 245, 244]],\n",
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       "          [ 25, 131, 174],\n",
       "          ...,\n",
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       "  \n",
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       "          [147, 158, 165],\n",
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       "          [224, 222, 221],\n",
       "          ...,\n",
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       "          ...,\n",
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       "          [220, 222, 223],\n",
       "          ...,\n",
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       "          [188, 190, 191],\n",
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       "          [ 32,  31,  33],\n",
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       "          [154, 190, 208],\n",
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       "          ...,\n",
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       "          [ 35,  44,  48],\n",
       "          [ 33,  42,  46]],\n",
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       "          [ 22,  27,  30],\n",
       "          [ 22,  27,  30],\n",
       "          ...,\n",
       "          [ 35,  43,  50],\n",
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       "          [ 23,  28,  31],\n",
       "          [ 22,  27,  30],\n",
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       "          ...,\n",
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       "          ...,\n",
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       "          [ 61,  61,  38],\n",
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       "          [204, 209, 212],\n",
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       "          [  1,   2, 100],\n",
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       "          ...,\n",
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       "          [  2,   2, 107],\n",
       "          [  3,   3, 108]],\n",
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       "          [ 32,  52, 193],\n",
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       "          [  5,   3, 113],\n",
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       "          ...,\n",
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       "          ...,\n",
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       "          [123, 118, 120]],\n",
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       "          [122, 123, 113],\n",
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       "  \n",
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       "         [[168, 161, 136],\n",
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       "          [174, 167, 141],\n",
       "          ...,\n",
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       "          [128, 125, 104],\n",
       "          [128, 125, 104]],\n",
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       "          [225, 226, 217],\n",
       "          ...,\n",
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       "          [224, 225, 216],\n",
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       "  \n",
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       "          ...,\n",
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       "          [  2,   1,   3],\n",
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       "          [ 13,  15,  16]],\n",
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       "          [156, 171, 163],\n",
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       "          [143, 136, 117]],\n",
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       "          [ 25,  53,  83]]], dtype=uint8),\n",
       "  1]]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "203dfff7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "442"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "07dfcbad",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'list' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[1;32mIn [7]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mtrain_images\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mTypeError\u001b[0m: 'list' object is not callable"
     ]
    }
   ],
   "source": [
    "train_images([0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04c28f7e",
   "metadata": {},
   "source": [
    "# Shuffle the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4da3b1aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.shuffle(train_images)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "289f9980",
   "metadata": {},
   "source": [
    "# Assigning Labels and Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8b81771f",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = []\n",
    "Y = []\n",
    "\n",
    "for X_values , labels in train_images:\n",
    "    X.append(X_values)\n",
    "    Y.append(labels)\n",
    "\n",
    "X = np.array(X)\n",
    "Y = np.array(Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "02339d88",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[[217, 231, 237],\n",
       "         [219, 232, 239],\n",
       "         [219, 233, 239],\n",
       "         ...,\n",
       "         [238, 249, 253],\n",
       "         [238, 249, 253],\n",
       "         [238, 249, 253]],\n",
       "\n",
       "        [[220, 232, 238],\n",
       "         [221, 233, 239],\n",
       "         [223, 235, 241],\n",
       "         ...,\n",
       "         [237, 248, 252],\n",
       "         [237, 248, 252],\n",
       "         [237, 248, 252]],\n",
       "\n",
       "        [[219, 230, 238],\n",
       "         [221, 232, 240],\n",
       "         [221, 232, 240],\n",
       "         ...,\n",
       "         [237, 248, 252],\n",
       "         [238, 249, 253],\n",
       "         [238, 249, 253]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[ 96, 126, 173],\n",
       "         [ 92, 125, 171],\n",
       "         [ 89, 123, 169],\n",
       "         ...,\n",
       "         [237, 238, 238],\n",
       "         [242, 244, 244],\n",
       "         [242, 244, 244]],\n",
       "\n",
       "        [[ 99, 129, 176],\n",
       "         [ 93, 123, 170],\n",
       "         [ 85, 118, 164],\n",
       "         ...,\n",
       "         [238, 240, 240],\n",
       "         [243, 245, 245],\n",
       "         [244, 246, 246]],\n",
       "\n",
       "        [[ 92, 120, 167],\n",
       "         [ 91, 121, 168],\n",
       "         [ 85, 118, 165],\n",
       "         ...,\n",
       "         [242, 244, 244],\n",
       "         [246, 248, 248],\n",
       "         [247, 249, 249]]],\n",
       "\n",
       "\n",
       "       [[[255, 255, 255],\n",
       "         [252, 252, 252],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 252, 253]],\n",
       "\n",
       "        [[254, 254, 254],\n",
       "         [247, 247, 247],\n",
       "         [252, 252, 252],\n",
       "         ...,\n",
       "         [245, 248, 248],\n",
       "         [242, 245, 244],\n",
       "         [255, 255, 255]],\n",
       "\n",
       "        [[253, 253, 253],\n",
       "         [237, 237, 237],\n",
       "         [193, 193, 193],\n",
       "         ...,\n",
       "         [174, 180, 179],\n",
       "         [170, 176, 175],\n",
       "         [250, 253, 253]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[252, 251, 249],\n",
       "         [  5,   6,   8],\n",
       "         [  6,   9,  16],\n",
       "         ...,\n",
       "         [ 15,  29,  39],\n",
       "         [ 14,  25,  31],\n",
       "         [250, 248, 250]],\n",
       "\n",
       "        [[252, 252, 252],\n",
       "         [229, 229, 230],\n",
       "         [228, 230, 232],\n",
       "         ...,\n",
       "         [226, 230, 235],\n",
       "         [225, 230, 232],\n",
       "         [253, 252, 252]],\n",
       "\n",
       "        [[254, 254, 254],\n",
       "         [254, 254, 254],\n",
       "         [254, 254, 254],\n",
       "         ...,\n",
       "         [254, 254, 254],\n",
       "         [254, 254, 254],\n",
       "         [255, 255, 255]]],\n",
       "\n",
       "\n",
       "       [[[220, 235, 244],\n",
       "         [218, 235, 244],\n",
       "         [218, 235, 244],\n",
       "         ...,\n",
       "         [170, 201, 224],\n",
       "         [172, 203, 226],\n",
       "         [174, 205, 223]],\n",
       "\n",
       "        [[220, 235, 244],\n",
       "         [218, 235, 244],\n",
       "         [218, 235, 244],\n",
       "         ...,\n",
       "         [170, 201, 224],\n",
       "         [172, 203, 226],\n",
       "         [161, 196, 222]],\n",
       "\n",
       "        [[220, 235, 244],\n",
       "         [218, 235, 244],\n",
       "         [218, 235, 244],\n",
       "         ...,\n",
       "         [176, 202, 226],\n",
       "         [174, 205, 228],\n",
       "         [150, 187, 219]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[187, 210, 226],\n",
       "         [187, 210, 226],\n",
       "         [187, 210, 226],\n",
       "         ...,\n",
       "         [ 22,  42,  40],\n",
       "         [ 22,  39,  40],\n",
       "         [ 28,  40,  42]],\n",
       "\n",
       "        [[187, 210, 226],\n",
       "         [187, 210, 226],\n",
       "         [187, 210, 226],\n",
       "         ...,\n",
       "         [ 36,  58,  76],\n",
       "         [ 45,  66,  80],\n",
       "         [ 22,  35,  40]],\n",
       "\n",
       "        [[186, 209, 225],\n",
       "         [187, 210, 226],\n",
       "         [186, 209, 225],\n",
       "         ...,\n",
       "         [ 31,  59,  80],\n",
       "         [ 32,  60,  84],\n",
       "         [ 17,  35,  50]]],\n",
       "\n",
       "\n",
       "       ...,\n",
       "\n",
       "\n",
       "       [[[ 58,  75, 102],\n",
       "         [ 59,  76, 103],\n",
       "         [ 61,  78, 105],\n",
       "         ...,\n",
       "         [ 67,  84, 111],\n",
       "         [ 70,  87, 113],\n",
       "         [ 69,  86, 113]],\n",
       "\n",
       "        [[ 58,  75, 101],\n",
       "         [ 59,  76, 103],\n",
       "         [ 59,  76, 103],\n",
       "         ...,\n",
       "         [ 68,  85, 112],\n",
       "         [ 70,  86, 113],\n",
       "         [ 69,  86, 113]],\n",
       "\n",
       "        [[ 58,  75, 101],\n",
       "         [ 59,  76, 102],\n",
       "         [ 61,  78, 104],\n",
       "         ...,\n",
       "         [ 69,  86, 113],\n",
       "         [ 70,  87, 114],\n",
       "         [ 69,  86, 113]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[ 12,  11,  13],\n",
       "         [ 11,  10,  12],\n",
       "         [ 19,  18,  20],\n",
       "         ...,\n",
       "         [  0,   2,   3],\n",
       "         [  1,   3,   4],\n",
       "         [  1,   3,   4]],\n",
       "\n",
       "        [[ 12,  11,  13],\n",
       "         [ 13,  12,  14],\n",
       "         [ 17,  16,  18],\n",
       "         ...,\n",
       "         [  0,   2,   3],\n",
       "         [  0,   2,   3],\n",
       "         [  0,   2,   3]],\n",
       "\n",
       "        [[ 12,  11,  13],\n",
       "         [ 13,  12,  14],\n",
       "         [ 15,  14,  16],\n",
       "         ...,\n",
       "         [  0,   2,   3],\n",
       "         [  0,   2,   3],\n",
       "         [  0,   2,   3]]],\n",
       "\n",
       "\n",
       "       [[[233, 238, 211],\n",
       "         [235, 240, 213],\n",
       "         [234, 239, 212],\n",
       "         ...,\n",
       "         [233, 215, 174],\n",
       "         [233, 215, 174],\n",
       "         [233, 215, 174]],\n",
       "\n",
       "        [[233, 237, 212],\n",
       "         [234, 238, 213],\n",
       "         [233, 237, 212],\n",
       "         ...,\n",
       "         [233, 215, 174],\n",
       "         [233, 215, 174],\n",
       "         [233, 215, 174]],\n",
       "\n",
       "        [[236, 239, 217],\n",
       "         [235, 238, 216],\n",
       "         [234, 237, 215],\n",
       "         ...,\n",
       "         [233, 215, 174],\n",
       "         [233, 215, 174],\n",
       "         [233, 215, 174]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[ 49,  73, 127],\n",
       "         [ 48,  72, 126],\n",
       "         [ 46,  69, 124],\n",
       "         ...,\n",
       "         [ 51,  38,  55],\n",
       "         [ 50,  39,  55],\n",
       "         [ 50,  39,  55]],\n",
       "\n",
       "        [[ 63,  76, 125],\n",
       "         [ 63,  76, 125],\n",
       "         [ 62,  75, 125],\n",
       "         ...,\n",
       "         [ 52,  38,  55],\n",
       "         [ 52,  39,  55],\n",
       "         [ 52,  39,  55]],\n",
       "\n",
       "        [[ 49,  55, 101],\n",
       "         [ 51,  56, 102],\n",
       "         [ 51,  58, 105],\n",
       "         ...,\n",
       "         [ 52,  38,  55],\n",
       "         [ 52,  39,  55],\n",
       "         [ 52,  39,  55]]],\n",
       "\n",
       "\n",
       "       [[[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       "\n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       "\n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 254, 254],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 254, 254],\n",
       "         ...,\n",
       "         [255, 255, 254],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       "\n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       "\n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]]]], dtype=uint8)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f53ee3e9",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0,\n",
       "       0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1,\n",
       "       1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1,\n",
       "       0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1,\n",
       "       0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1,\n",
       "       1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0,\n",
       "       0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,\n",
       "       0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0,\n",
       "       1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1,\n",
       "       1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0,\n",
       "       0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0,\n",
       "       0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0,\n",
       "       0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0,\n",
       "       1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1,\n",
       "       0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1,\n",
       "       0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0,\n",
       "       1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0,\n",
       "       1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0,\n",
       "       0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1,\n",
       "       1, 0])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "32d8c533",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(442, 200, 200, 3)\n",
      "(442,)\n"
     ]
    }
   ],
   "source": [
    "print(X.shape)\n",
    "print(Y.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "425f1ce0",
   "metadata": {},
   "source": [
    "# Checking sample images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d16db655",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=2\n",
    "plt.imshow(X[x])\n",
    "print(Y[x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3eb2d666",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=5\n",
    "plt.imshow(X[x])\n",
    "print(Y[x])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae429d8b",
   "metadata": {},
   "source": [
    "# Normalising X "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9f225fb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "X=X/255"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c4d0782",
   "metadata": {},
   "source": [
    "# Split X and Y for use in CNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "175aeb2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_test,X_train,y_test , y_train = train_test_split(X,Y , train_size=0.2 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "461e5975",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(354, 200, 200, 3)\n",
      "(88, 200, 200, 3)\n",
      "(354,)\n",
      "(88,)\n"
     ]
    }
   ],
   "source": [
    "print(X_train.shape)\n",
    "print(X_test.shape)\n",
    "print(y_train.shape)\n",
    "print(y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e45d9597",
   "metadata": {},
   "source": [
    "# Define, compile and train the CNN Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9b04114c",
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size = 16\n",
    "nb_classes =4\n",
    "nb_epochs = 10\n",
    "img_rows, img_columns = 200, 200\n",
    "img_channel = 3\n",
    "nb_filters = 32\n",
    "nb_pool = 2\n",
    "nb_conv = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "bb98f1ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "23/23 [==============================] - 18s 753ms/step - loss: 1.2884 - accuracy: 0.5565 - val_loss: 0.6812 - val_accuracy: 0.6136\n",
      "Epoch 2/10\n",
      "23/23 [==============================] - 18s 767ms/step - loss: 0.5898 - accuracy: 0.7006 - val_loss: 0.4913 - val_accuracy: 0.7955\n",
      "Epoch 3/10\n",
      "23/23 [==============================] - 17s 730ms/step - loss: 0.3961 - accuracy: 0.8277 - val_loss: 0.4013 - val_accuracy: 0.8295\n",
      "Epoch 4/10\n",
      "23/23 [==============================] - 18s 784ms/step - loss: 0.3309 - accuracy: 0.8559 - val_loss: 0.4279 - val_accuracy: 0.8068\n",
      "Epoch 5/10\n",
      "23/23 [==============================] - 18s 789ms/step - loss: 0.2202 - accuracy: 0.9153 - val_loss: 0.3582 - val_accuracy: 0.8523\n",
      "Epoch 6/10\n",
      "23/23 [==============================] - 18s 790ms/step - loss: 0.1424 - accuracy: 0.9661 - val_loss: 0.4804 - val_accuracy: 0.8409\n",
      "Epoch 7/10\n",
      "23/23 [==============================] - 18s 795ms/step - loss: 0.0867 - accuracy: 0.9802 - val_loss: 0.3734 - val_accuracy: 0.8523\n",
      "Epoch 8/10\n",
      "23/23 [==============================] - 19s 833ms/step - loss: 0.0648 - accuracy: 0.9859 - val_loss: 0.4141 - val_accuracy: 0.8409\n",
      "Epoch 9/10\n",
      "23/23 [==============================] - 19s 815ms/step - loss: 0.0346 - accuracy: 0.9972 - val_loss: 0.4583 - val_accuracy: 0.7955\n",
      "Epoch 10/10\n",
      "23/23 [==============================] - 17s 760ms/step - loss: 0.0234 - accuracy: 0.9972 - val_loss: 0.6174 - val_accuracy: 0.7955\n"
     ]
    }
   ],
   "source": [
    "model = tf.keras.Sequential([\n",
    "    tf.keras.layers.Conv2D(32, (3,3), padding='same', activation=tf.nn.relu,\n",
    "                           input_shape=(200, 200, 3)),\n",
    "    tf.keras.layers.MaxPooling2D((2, 2), strides=2),\n",
    "    tf.keras.layers.Conv2D(32, (3,3), padding='same', activation=tf.nn.relu),\n",
    "    tf.keras.layers.MaxPooling2D((2, 2), strides=2),\n",
    "    tf.keras.layers.Dropout(0.5),\n",
    "    tf.keras.layers.Flatten(),\n",
    "    tf.keras.layers.Dense(128, activation=tf.nn.relu),\n",
    "    tf.keras.layers.Dense(2,  activation=tf.nn.softmax)\n",
    "])\n",
    "model.compile(optimizer='adam',loss='sparse_categorical_crossentropy',metrics=['accuracy'])\n",
    "model1 = model.fit(X_train, y_train, batch_size = batch_size, epochs = nb_epochs, verbose = 1, validation_data = (X_test, y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3b3d005",
   "metadata": {},
   "source": [
    "# Accuracy and Score of model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0e11e674",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Score:  0.6173561215400696\n",
      "Test accuracy:  0.7954545617103577\n"
     ]
    }
   ],
   "source": [
    "score = model.evaluate(X_test, y_test, verbose = 0 )\n",
    "print(\"Test Score: \", score[0])\n",
    "print(\"Test accuracy: \", score[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5fe127e",
   "metadata": {},
   "source": [
    "# loading the test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8e54fb4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "image_size = 200 \n",
    "test_path = r\"House Dataset\\Testing\"\n",
    "test_images = []\n",
    "for img in os.listdir(test_path):\n",
    "    image_path_2 = os.path.join(test_path , img)\n",
    "    image_array_2 = cv2.imread(image_path_2)\n",
    "    image_array_2 =cv2.resize(image_array_2 , (image_size , image_size) )\n",
    "    test_images.append(image_array_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "dfb074d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "111"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test_images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "02a5fc15",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "         [241, 241, 241],\n",
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       "         [242, 242, 242]],\n",
       " \n",
       "        [[237, 237, 237],\n",
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       "         [239, 239, 239],\n",
       "         ...,\n",
       "         [241, 242, 240],\n",
       "         [239, 240, 238],\n",
       "         [237, 237, 237]],\n",
       " \n",
       "        [[242, 242, 242],\n",
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       "         [242, 242, 242],\n",
       "         ...,\n",
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       "         [243, 243, 243]],\n",
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       "         [ 64,  79, 112],\n",
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       "         [202, 202, 202],\n",
       "         [199, 201, 201]],\n",
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       "         [ 61,  79, 112],\n",
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       "         [199, 201, 201]],\n",
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       "         [ 66,  86, 119],\n",
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       "         [200, 200, 200],\n",
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       "         [ 82, 124, 146],\n",
       "         [ 81, 122, 144]],\n",
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       "         [163, 188, 204],\n",
       "         ...,\n",
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       "         [ 82, 125, 146]],\n",
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       "         ...,\n",
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       "         [158, 179, 195]],\n",
       " \n",
       "        ...,\n",
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       "        [[189, 213, 228],\n",
       "         [188, 213, 227],\n",
       "         [194, 214, 228],\n",
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       "         [ 40, 116, 153]],\n",
       " \n",
       "        [[194, 216, 231],\n",
       "         [197, 220, 233],\n",
       "         [200, 218, 231],\n",
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       "         [ 42, 125, 163]],\n",
       " \n",
       "        [[191, 214, 229],\n",
       "         [194, 217, 232],\n",
       "         [201, 220, 233],\n",
       "         ...,\n",
       "         [ 41, 120, 158],\n",
       "         [ 40, 117, 155],\n",
       "         [ 41, 121, 160]]], dtype=uint8),\n",
       " array([[[ 82, 152, 211],\n",
       "         [ 82, 152, 211],\n",
       "         [ 82, 152, 211],\n",
       "         ...,\n",
       "         [ 84, 150, 202],\n",
       "         [ 84, 150, 203],\n",
       "         [ 84, 150, 203]],\n",
       " \n",
       "        [[ 82, 153, 210],\n",
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       "         [ 82, 153, 210],\n",
       "         ...,\n",
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       "         [ 84, 150, 203]],\n",
       " \n",
       "        [[ 82, 154, 208],\n",
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       "         [ 82, 154, 208],\n",
       "         ...,\n",
       "         [ 84, 150, 202],\n",
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       "         [ 84, 150, 203]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 39,  25,  75],\n",
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       "         [  0,   3,  28],\n",
       "         [  0,   2,  28]],\n",
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       "        [[ 40,  22,  47],\n",
       "         [ 45,  37,  79],\n",
       "         [ 13,  18,  53],\n",
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       "         [102, 140, 171],\n",
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       "         [153, 192, 206]],\n",
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       "         [155, 190, 203]],\n",
       " \n",
       "        [[ 26,  41,  57],\n",
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       "         [ 39,  54,  70],\n",
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       "         [158, 169, 176]],\n",
       " \n",
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       "         [144, 153, 164],\n",
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       "         [144, 153, 165],\n",
       "         ...,\n",
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       "         [160, 170, 180],\n",
       "         [159, 168, 180]],\n",
       " \n",
       "        ...,\n",
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       "         [176, 191, 203],\n",
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       "         [131, 143, 159]],\n",
       " \n",
       "        [[177, 193, 207],\n",
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       "         [170, 191, 201],\n",
       "         ...,\n",
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       "         [130, 140, 157],\n",
       "         [128, 145, 157]]], dtype=uint8),\n",
       " array([[[176, 178, 178],\n",
       "         [177, 179, 179],\n",
       "         [177, 179, 179],\n",
       "         ...,\n",
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       "         [182, 184, 185],\n",
       "         [187, 189, 190]],\n",
       " \n",
       "        [[175, 177, 177],\n",
       "         [176, 178, 178],\n",
       "         [177, 179, 179],\n",
       "         ...,\n",
       "         [183, 185, 186],\n",
       "         [189, 191, 192],\n",
       "         [191, 193, 194]],\n",
       " \n",
       "        [[181, 183, 183],\n",
       "         [177, 179, 179],\n",
       "         [177, 179, 179],\n",
       "         ...,\n",
       "         [188, 190, 191],\n",
       "         [191, 193, 194],\n",
       "         [193, 196, 196]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 90, 100, 118],\n",
       "         [ 85,  97, 115],\n",
       "         [ 86, 100, 118],\n",
       "         ...,\n",
       "         [ 81,  96, 112],\n",
       "         [ 85, 100, 116],\n",
       "         [ 84,  98, 116]],\n",
       " \n",
       "        [[ 89,  99, 117],\n",
       "         [ 89, 101, 119],\n",
       "         [ 87, 101, 119],\n",
       "         ...,\n",
       "         [ 76,  91, 107],\n",
       "         [ 80,  95, 111],\n",
       "         [ 86, 101, 117]],\n",
       " \n",
       "        [[ 88, 102, 120],\n",
       "         [ 87, 101, 119],\n",
       "         [ 87, 101, 119],\n",
       "         ...,\n",
       "         [ 78,  94, 109],\n",
       "         [ 78,  96, 107],\n",
       "         [ 83,  99, 112]]], dtype=uint8),\n",
       " array([[[ 11,  13,  13],\n",
       "         [ 17,  19,  17],\n",
       "         [ 15,  16,  17],\n",
       "         ...,\n",
       "         [ 71,  74,  76],\n",
       "         [ 69,  73,  75],\n",
       "         [ 66,  70,  71]],\n",
       " \n",
       "        [[ 16,  20,  20],\n",
       "         [ 11,  12,  11],\n",
       "         [ 12,  12,  12],\n",
       "         ...,\n",
       "         [ 72,  75,  75],\n",
       "         [ 72,  75,  76],\n",
       "         [ 69,  73,  74]],\n",
       " \n",
       "        [[ 21,  25,  25],\n",
       "         [  9,   9,   9],\n",
       "         [  9,   8,   8],\n",
       "         ...,\n",
       "         [ 73,  78,  77],\n",
       "         [ 72,  77,  77],\n",
       "         [ 68,  72,  73]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[104, 105, 112],\n",
       "         [111, 114, 117],\n",
       "         [108, 109, 109],\n",
       "         ...,\n",
       "         [ 85, 108, 110],\n",
       "         [ 80, 102, 107],\n",
       "         [ 81, 102, 104]],\n",
       " \n",
       "        [[102, 105, 110],\n",
       "         [104, 107, 111],\n",
       "         [107, 106, 109],\n",
       "         ...,\n",
       "         [ 86, 108, 113],\n",
       "         [ 87, 107, 114],\n",
       "         [ 84, 104, 110]],\n",
       " \n",
       "        [[100, 104, 105],\n",
       "         [102, 104, 106],\n",
       "         [100, 101, 103],\n",
       "         ...,\n",
       "         [ 80, 100, 106],\n",
       "         [ 82, 103, 110],\n",
       "         [ 81, 102, 109]]], dtype=uint8),\n",
       " array([[[251, 251, 251],\n",
       "         [251, 251, 251],\n",
       "         [251, 251, 251],\n",
       "         ...,\n",
       "         [213, 217, 218],\n",
       "         [213, 217, 218],\n",
       "         [212, 216, 217]],\n",
       " \n",
       "        [[251, 251, 251],\n",
       "         [251, 251, 251],\n",
       "         [251, 251, 251],\n",
       "         ...,\n",
       "         [212, 215, 219],\n",
       "         [212, 215, 219],\n",
       "         [212, 215, 219]],\n",
       " \n",
       "        [[251, 251, 251],\n",
       "         [251, 251, 251],\n",
       "         [251, 251, 251],\n",
       "         ...,\n",
       "         [212, 215, 219],\n",
       "         [212, 215, 219],\n",
       "         [212, 215, 219]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[108, 161, 148],\n",
       "         [100, 158, 146],\n",
       "         [ 51, 108,  97],\n",
       "         ...,\n",
       "         [ 14,  49,  73],\n",
       "         [ 17,  53,  77],\n",
       "         [ 13,  50,  71]],\n",
       " \n",
       "        [[107, 161, 149],\n",
       "         [ 59, 116, 105],\n",
       "         [ 63, 119, 109],\n",
       "         ...,\n",
       "         [ 17,  51,  75],\n",
       "         [ 15,  50,  74],\n",
       "         [ 21,  58,  78]],\n",
       " \n",
       "        [[ 58, 115, 104],\n",
       "         [ 62, 120, 109],\n",
       "         [ 65, 111, 108],\n",
       "         ...,\n",
       "         [ 16,  62,  87],\n",
       "         [ 20,  56,  78],\n",
       "         [ 14,  49,  71]]], dtype=uint8),\n",
       " array([[[218, 222, 223],\n",
       "         [235, 239, 240],\n",
       "         [236, 240, 241],\n",
       "         ...,\n",
       "         [203, 206, 220],\n",
       "         [201, 207, 216],\n",
       "         [200, 205, 214]],\n",
       " \n",
       "        [[233, 236, 237],\n",
       "         [230, 235, 235],\n",
       "         [223, 227, 228],\n",
       "         ...,\n",
       "         [203, 206, 220],\n",
       "         [201, 207, 216],\n",
       "         [200, 205, 214]],\n",
       " \n",
       "        [[232, 236, 237],\n",
       "         [234, 238, 239],\n",
       "         [235, 239, 240],\n",
       "         ...,\n",
       "         [203, 206, 220],\n",
       "         [201, 207, 216],\n",
       "         [200, 205, 214]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 44,  43,  45],\n",
       "         [ 23,  22,  24],\n",
       "         [ 21,  20,  22],\n",
       "         ...,\n",
       "         [207, 210, 215],\n",
       "         [204, 207, 212],\n",
       "         [205, 208, 213]],\n",
       " \n",
       "        [[ 46,  47,  48],\n",
       "         [ 24,  24,  25],\n",
       "         [ 21,  20,  22],\n",
       "         ...,\n",
       "         [207, 210, 215],\n",
       "         [204, 207, 212],\n",
       "         [205, 208, 213]],\n",
       " \n",
       "        [[ 41,  46,  44],\n",
       "         [ 20,  22,  22],\n",
       "         [ 22,  21,  23],\n",
       "         ...,\n",
       "         [207, 210, 215],\n",
       "         [204, 207, 212],\n",
       "         [207, 210, 215]]], dtype=uint8),\n",
       " array([[[15, 27, 46],\n",
       "         [ 5,  1,  1],\n",
       "         [ 2,  0,  1],\n",
       "         ...,\n",
       "         [ 0,  0,  0],\n",
       "         [ 0,  0,  0],\n",
       "         [ 0,  0,  0]],\n",
       " \n",
       "        [[20, 42, 66],\n",
       "         [ 1,  0,  1],\n",
       "         [ 6,  3,  2],\n",
       "         ...,\n",
       "         [ 0,  0,  0],\n",
       "         [ 0,  0,  0],\n",
       "         [ 0,  0,  0]],\n",
       " \n",
       "        [[20, 41, 70],\n",
       "         [ 5, 16, 37],\n",
       "         [ 1,  1,  7],\n",
       "         ...,\n",
       "         [ 0,  0,  0],\n",
       "         [ 0,  0,  0],\n",
       "         [ 0,  0,  0]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 0,  0,  0],\n",
       "         [ 0,  0,  0],\n",
       "         [ 0,  0,  0],\n",
       "         ...,\n",
       "         [ 0, 19, 48],\n",
       "         [ 0, 33, 69],\n",
       "         [ 0, 31, 65]],\n",
       " \n",
       "        [[ 0,  0,  0],\n",
       "         [ 0,  0,  0],\n",
       "         [ 0,  0,  0],\n",
       "         ...,\n",
       "         [ 1, 22, 51],\n",
       "         [ 0, 35, 70],\n",
       "         [ 0, 31, 66]],\n",
       " \n",
       "        [[ 0,  0,  0],\n",
       "         [ 0,  0,  0],\n",
       "         [ 0,  0,  0],\n",
       "         ...,\n",
       "         [ 0, 22, 51],\n",
       "         [ 1, 36, 73],\n",
       "         [ 0, 29, 65]]], dtype=uint8),\n",
       " array([[[121, 136, 143],\n",
       "         [122, 137, 144],\n",
       "         [120, 135, 147],\n",
       "         ...,\n",
       "         [189, 204, 197],\n",
       "         [187, 200, 198],\n",
       "         [187, 200, 198]],\n",
       " \n",
       "        [[121, 136, 143],\n",
       "         [121, 136, 143],\n",
       "         [119, 134, 146],\n",
       "         ...,\n",
       "         [189, 204, 197],\n",
       "         [188, 201, 200],\n",
       "         [188, 201, 199]],\n",
       " \n",
       "        [[121, 136, 143],\n",
       "         [121, 136, 143],\n",
       "         [119, 134, 146],\n",
       "         ...,\n",
       "         [189, 204, 197],\n",
       "         [189, 202, 200],\n",
       "         [189, 202, 200]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 22,  91, 116],\n",
       "         [ 27,  91, 117],\n",
       "         [ 22,  87, 113],\n",
       "         ...,\n",
       "         [115, 102, 100],\n",
       "         [114, 105, 106],\n",
       "         [128, 120, 119]],\n",
       " \n",
       "        [[ 55,  95, 124],\n",
       "         [ 20,  97, 117],\n",
       "         [ 26,  96, 118],\n",
       "         ...,\n",
       "         [130, 112, 109],\n",
       "         [113,  96,  93],\n",
       "         [103,  97,  96]],\n",
       " \n",
       "        [[ 44,  89, 113],\n",
       "         [ 29, 100, 119],\n",
       "         [ 49, 106, 128],\n",
       "         ...,\n",
       "         [155, 126, 122],\n",
       "         [151, 130, 116],\n",
       "         [155, 127, 118]]], dtype=uint8),\n",
       " array([[[180, 184, 195],\n",
       "         [183, 187, 198],\n",
       "         [183, 187, 198],\n",
       "         ...,\n",
       "         [217, 227, 243],\n",
       "         [155, 169, 182],\n",
       "         [143, 159, 166]],\n",
       " \n",
       "        [[177, 181, 192],\n",
       "         [182, 186, 197],\n",
       "         [183, 187, 198],\n",
       "         ...,\n",
       "         [214, 224, 240],\n",
       "         [153, 167, 180],\n",
       "         [143, 159, 166]],\n",
       " \n",
       "        [[178, 182, 193],\n",
       "         [178, 182, 193],\n",
       "         [181, 186, 197],\n",
       "         ...,\n",
       "         [212, 223, 239],\n",
       "         [160, 174, 186],\n",
       "         [148, 164, 171]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 96, 105, 114],\n",
       "         [ 99, 109, 116],\n",
       "         [100, 110, 117],\n",
       "         ...,\n",
       "         [ 61,  50,  47],\n",
       "         [ 65,  54,  49],\n",
       "         [ 67,  58,  54]],\n",
       " \n",
       "        [[ 97, 107, 113],\n",
       "         [ 98, 109, 115],\n",
       "         [ 97, 107, 113],\n",
       "         ...,\n",
       "         [ 64,  53,  49],\n",
       "         [ 61,  51,  45],\n",
       "         [ 65,  55,  51]],\n",
       " \n",
       "        [[ 97, 108, 112],\n",
       "         [ 99, 110, 114],\n",
       "         [ 97, 108, 112],\n",
       "         ...,\n",
       "         [ 66,  53,  50],\n",
       "         [ 65,  52,  50],\n",
       "         [ 64,  52,  52]]], dtype=uint8),\n",
       " array([[[ 79, 114, 114],\n",
       "         [ 73, 102, 103],\n",
       "         [ 71, 103, 103],\n",
       "         ...,\n",
       "         [ 70, 102, 105],\n",
       "         [ 70, 101, 105],\n",
       "         [ 75, 114, 114]],\n",
       " \n",
       "        [[ 35,  53,  54],\n",
       "         [  3,  14,  18],\n",
       "         [  4,  18,  21],\n",
       "         ...,\n",
       "         [ 19,  40,  46],\n",
       "         [ 12,  32,  37],\n",
       "         [ 33,  60,  61]],\n",
       " \n",
       "        [[ 34,  60,  61],\n",
       "         [ 10,  32,  34],\n",
       "         [ 14,  40,  41],\n",
       "         ...,\n",
       "         [ 41,  71,  77],\n",
       "         [ 29,  56,  62],\n",
       "         [ 35,  66,  70]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 59,  72,  71],\n",
       "         [101,  91,  81],\n",
       "         [127, 108,  93],\n",
       "         ...,\n",
       "         [131, 137, 110],\n",
       "         [ 99, 107,  82],\n",
       "         [ 66,  82,  75]],\n",
       " \n",
       "        [[ 44,  61,  64],\n",
       "         [ 58,  56,  53],\n",
       "         [ 73,  63,  57],\n",
       "         ...,\n",
       "         [ 81,  89,  71],\n",
       "         [ 61,  70,  55],\n",
       "         [ 52,  70,  67]],\n",
       " \n",
       "        [[ 73, 112, 114],\n",
       "         [ 82, 103, 102],\n",
       "         [ 90, 106, 103],\n",
       "         ...,\n",
       "         [ 84, 108, 105],\n",
       "         [ 80, 105, 104],\n",
       "         [ 74, 111, 119]]], dtype=uint8),\n",
       " array([[[239, 243, 241],\n",
       "         [240, 244, 243],\n",
       "         [238, 242, 241],\n",
       "         ...,\n",
       "         [237, 240, 241],\n",
       "         [238, 240, 242],\n",
       "         [238, 240, 243]],\n",
       " \n",
       "        [[159, 167, 171],\n",
       "         [167, 174, 178],\n",
       "         [155, 161, 165],\n",
       "         ...,\n",
       "         [192, 199, 199],\n",
       "         [192, 198, 201],\n",
       "         [189, 195, 198]],\n",
       " \n",
       "        [[155, 164, 167],\n",
       "         [155, 163, 167],\n",
       "         [154, 163, 166],\n",
       "         ...,\n",
       "         [192, 198, 199],\n",
       "         [187, 193, 196],\n",
       "         [187, 193, 196]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 48,  79, 122],\n",
       "         [ 46,  74, 116],\n",
       "         [ 61,  83, 122],\n",
       "         ...,\n",
       "         [ 33,  42,  55],\n",
       "         [ 37,  46,  59],\n",
       "         [ 41,  50,  63]],\n",
       " \n",
       "        [[ 48,  72, 105],\n",
       "         [ 35,  57,  88],\n",
       "         [ 40,  59,  89],\n",
       "         ...,\n",
       "         [ 39,  48,  61],\n",
       "         [ 40,  49,  62],\n",
       "         [ 36,  46,  57]],\n",
       " \n",
       "        [[ 41,  59,  86],\n",
       "         [ 40,  56,  83],\n",
       "         [ 40,  54,  77],\n",
       "         ...,\n",
       "         [ 39,  48,  61],\n",
       "         [ 38,  48,  58],\n",
       "         [ 32,  43,  51]]], dtype=uint8),\n",
       " array([[[ 77, 100, 124],\n",
       "         [119, 138, 153],\n",
       "         [128, 143, 152],\n",
       "         ...,\n",
       "         [224, 220, 221],\n",
       "         [223, 221, 221],\n",
       "         [223, 221, 221]],\n",
       " \n",
       "        [[ 33,  53,  74],\n",
       "         [119, 135, 147],\n",
       "         [131, 143, 150],\n",
       "         ...,\n",
       "         [225, 220, 221],\n",
       "         [223, 221, 221],\n",
       "         [223, 221, 221]],\n",
       " \n",
       "        [[  1,   9,  25],\n",
       "         [112, 126, 134],\n",
       "         [128, 139, 143],\n",
       "         ...,\n",
       "         [225, 220, 221],\n",
       "         [223, 221, 221],\n",
       "         [223, 221, 221]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 78,  89,  91],\n",
       "         [ 17,  31,  30],\n",
       "         [ 18,  16,  10],\n",
       "         ...,\n",
       "         [184, 179, 180],\n",
       "         [184, 179, 180],\n",
       "         [184, 179, 180]],\n",
       " \n",
       "        [[ 79,  88,  95],\n",
       "         [ 19,  33,  33],\n",
       "         [ 16,  20,   6],\n",
       "         ...,\n",
       "         [184, 179, 181],\n",
       "         [184, 179, 180],\n",
       "         [184, 179, 180]],\n",
       " \n",
       "        [[ 83,  92,  94],\n",
       "         [ 20,  35,  39],\n",
       "         [ 16,  25,   7],\n",
       "         ...,\n",
       "         [185, 180, 182],\n",
       "         [185, 180, 181],\n",
       "         [185, 180, 181]]], dtype=uint8),\n",
       " array([[[ 87,  85,  75],\n",
       "         [ 92,  90,  80],\n",
       "         [ 80,  79,  69],\n",
       "         ...,\n",
       "         [155, 161, 156],\n",
       "         [154, 159, 155],\n",
       "         [153, 159, 154]],\n",
       " \n",
       "        [[ 87,  89,  77],\n",
       "         [ 97,  99,  87],\n",
       "         [ 97,  99,  87],\n",
       "         ...,\n",
       "         [153, 157, 154],\n",
       "         [152, 155, 153],\n",
       "         [151, 154, 152]],\n",
       " \n",
       "        [[ 91,  96,  81],\n",
       "         [ 99, 103,  89],\n",
       "         [101, 106,  91],\n",
       "         ...,\n",
       "         [149, 152, 150],\n",
       "         [149, 152, 150],\n",
       "         [147, 150, 148]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[235, 234, 236],\n",
       "         [236, 235, 237],\n",
       "         [232, 231, 233],\n",
       "         ...,\n",
       "         [223, 221, 220],\n",
       "         [225, 226, 224],\n",
       "         [ 73,  71,  71]],\n",
       " \n",
       "        [[236, 235, 237],\n",
       "         [236, 235, 237],\n",
       "         [238, 237, 239],\n",
       "         ...,\n",
       "         [232, 225, 225],\n",
       "         [228, 223, 222],\n",
       "         [ 73,  67,  69]],\n",
       " \n",
       "        [[236, 235, 237],\n",
       "         [236, 235, 237],\n",
       "         [238, 237, 239],\n",
       "         ...,\n",
       "         [231, 224, 224],\n",
       "         [228, 223, 222],\n",
       "         [ 74,  69,  70]]], dtype=uint8),\n",
       " array([[[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]]], dtype=uint8),\n",
       " array([[[180, 188, 187],\n",
       "         [178, 186, 185],\n",
       "         [178, 186, 185],\n",
       "         ...,\n",
       "         [165, 173, 166],\n",
       "         [165, 173, 166],\n",
       "         [165, 173, 166]],\n",
       " \n",
       "        [[180, 188, 187],\n",
       "         [178, 186, 185],\n",
       "         [178, 186, 185],\n",
       "         ...,\n",
       "         [165, 173, 166],\n",
       "         [165, 173, 166],\n",
       "         [165, 173, 166]],\n",
       " \n",
       "        [[179, 187, 186],\n",
       "         [178, 186, 186],\n",
       "         [178, 186, 185],\n",
       "         ...,\n",
       "         [166, 174, 167],\n",
       "         [165, 173, 166],\n",
       "         [165, 173, 166]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[125, 137, 139],\n",
       "         [125, 137, 139],\n",
       "         [120, 132, 134],\n",
       "         ...,\n",
       "         [192, 195, 193],\n",
       "         [190, 193, 191],\n",
       "         [190, 193, 191]],\n",
       " \n",
       "        [[125, 137, 139],\n",
       "         [125, 137, 139],\n",
       "         [111, 123, 125],\n",
       "         ...,\n",
       "         [193, 196, 194],\n",
       "         [191, 194, 192],\n",
       "         [191, 194, 192]],\n",
       " \n",
       "        [[123, 137, 136],\n",
       "         [112, 125, 127],\n",
       "         [ 85,  97, 102],\n",
       "         ...,\n",
       "         [193, 196, 194],\n",
       "         [193, 196, 194],\n",
       "         [190, 196, 191]]], dtype=uint8),\n",
       " array([[[  1,   0,   2],\n",
       "         [  0,   0,   1],\n",
       "         [  1,   0,   2],\n",
       "         ...,\n",
       "         [  1,   0,   2],\n",
       "         [  2,   1,   3],\n",
       "         [  2,   0,   1]],\n",
       " \n",
       "        [[  1,   1,   3],\n",
       "         [  1,   0,   2],\n",
       "         [  1,   0,   2],\n",
       "         ...,\n",
       "         [  5,   3,   3],\n",
       "         [  8,   5,   6],\n",
       "         [  3,   1,   2]],\n",
       " \n",
       "        [[  1,   0,   2],\n",
       "         [  1,   0,   2],\n",
       "         [  1,   0,   2],\n",
       "         ...,\n",
       "         [ 18,  14,  10],\n",
       "         [ 49,  45,  44],\n",
       "         [ 15,  12,  14]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 25,  18,  15],\n",
       "         [ 22,  15,  12],\n",
       "         [ 20,  13,  10],\n",
       "         ...,\n",
       "         [  7,   6,   8],\n",
       "         [  6,   5,   7],\n",
       "         [  0,   0,   1]],\n",
       " \n",
       "        [[ 27,  20,  17],\n",
       "         [ 23,  16,  13],\n",
       "         [ 21,  14,  11],\n",
       "         ...,\n",
       "         [145, 144, 146],\n",
       "         [ 94,  93,  95],\n",
       "         [132, 130, 133]],\n",
       " \n",
       "        [[ 26,  19,  16],\n",
       "         [ 23,  16,  13],\n",
       "         [ 21,  14,  11],\n",
       "         ...,\n",
       "         [  4,   4,   5],\n",
       "         [ 15,  14,  16],\n",
       "         [  8,   7,   9]]], dtype=uint8),\n",
       " array([[[245, 245, 246],\n",
       "         [ 51,  62,  74],\n",
       "         [ 74,  75,  77],\n",
       "         ...,\n",
       "         [ 41,  31,  27],\n",
       "         [ 43,  33,  27],\n",
       "         [ 43,  33,  27]],\n",
       " \n",
       "        [[243, 243, 244],\n",
       "         [ 47,  54,  62],\n",
       "         [ 67,  71,  74],\n",
       "         ...,\n",
       "         [ 56,  46,  35],\n",
       "         [ 51,  42,  31],\n",
       "         [ 53,  44,  32]],\n",
       " \n",
       "        [[243, 243, 243],\n",
       "         [ 36,  42,  46],\n",
       "         [ 45,  49,  55],\n",
       "         ...,\n",
       "         [ 51,  42,  29],\n",
       "         [ 55,  47,  33],\n",
       "         [ 41,  33,  21]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[247, 247, 247],\n",
       "         [114, 106,  94],\n",
       "         [106,  99,  86],\n",
       "         ...,\n",
       "         [192, 177, 159],\n",
       "         [190, 176, 158],\n",
       "         [189, 175, 157]],\n",
       " \n",
       "        [[247, 247, 246],\n",
       "         [114, 106,  94],\n",
       "         [107,  99,  87],\n",
       "         ...,\n",
       "         [190, 176, 158],\n",
       "         [189, 175, 157],\n",
       "         [188, 174, 156]],\n",
       " \n",
       "        [[247, 247, 246],\n",
       "         [115, 106,  94],\n",
       "         [107,  97,  85],\n",
       "         ...,\n",
       "         [189, 175, 157],\n",
       "         [188, 174, 156],\n",
       "         [186, 171, 153]]], dtype=uint8),\n",
       " array([[[221, 223, 223],\n",
       "         [221, 223, 223],\n",
       "         [221, 223, 223],\n",
       "         ...,\n",
       "         [109, 111, 112],\n",
       "         [117, 119, 119],\n",
       "         [174, 176, 177]],\n",
       " \n",
       "        [[219, 221, 221],\n",
       "         [221, 223, 223],\n",
       "         [221, 223, 223],\n",
       "         ...,\n",
       "         [200, 202, 203],\n",
       "         [222, 224, 225],\n",
       "         [231, 233, 234]],\n",
       " \n",
       "        [[222, 224, 224],\n",
       "         [220, 222, 222],\n",
       "         [220, 222, 222],\n",
       "         ...,\n",
       "         [231, 233, 235],\n",
       "         [234, 236, 237],\n",
       "         [231, 233, 234]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 97, 111, 133],\n",
       "         [ 78,  92, 114],\n",
       "         [ 76,  91, 112],\n",
       "         ...,\n",
       "         [ 90, 102, 114],\n",
       "         [116, 129, 141],\n",
       "         [ 85,  98, 109]],\n",
       " \n",
       "        [[ 90, 104, 126],\n",
       "         [ 78,  92, 114],\n",
       "         [ 85,  99, 121],\n",
       "         ...,\n",
       "         [ 81,  93, 105],\n",
       "         [121, 133, 145],\n",
       "         [ 83,  95, 107]],\n",
       " \n",
       "        [[ 88, 102, 124],\n",
       "         [ 81,  95, 117],\n",
       "         [ 96, 110, 132],\n",
       "         ...,\n",
       "         [ 77,  89, 101],\n",
       "         [103, 115, 127],\n",
       "         [106, 118, 130]]], dtype=uint8),\n",
       " array([[[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]]], dtype=uint8),\n",
       " array([[[ 52,  71,  99],\n",
       "         [ 52,  71,  99],\n",
       "         [ 52,  71, 100],\n",
       "         ...,\n",
       "         [190, 205, 214],\n",
       "         [189, 204, 213],\n",
       "         [190, 205, 214]],\n",
       " \n",
       "        [[162, 180, 200],\n",
       "         [165, 182, 203],\n",
       "         [167, 184, 205],\n",
       "         ...,\n",
       "         [191, 206, 215],\n",
       "         [188, 202, 211],\n",
       "         [190, 205, 214]],\n",
       " \n",
       "        [[198, 215, 234],\n",
       "         [198, 216, 233],\n",
       "         [201, 219, 234],\n",
       "         ...,\n",
       "         [191, 206, 215],\n",
       "         [189, 203, 212],\n",
       "         [190, 205, 214]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[201, 198, 193],\n",
       "         [201, 198, 193],\n",
       "         [202, 198, 194],\n",
       "         ...,\n",
       "         [164, 163, 166],\n",
       "         [160, 159, 161],\n",
       "         [156, 156, 158]],\n",
       " \n",
       "        [[205, 202, 196],\n",
       "         [204, 202, 196],\n",
       "         [204, 202, 198],\n",
       "         ...,\n",
       "         [168, 167, 169],\n",
       "         [162, 161, 164],\n",
       "         [161, 159, 162]],\n",
       " \n",
       "        [[211, 206, 201],\n",
       "         [209, 206, 201],\n",
       "         [208, 205, 201],\n",
       "         ...,\n",
       "         [170, 166, 169],\n",
       "         [167, 164, 167],\n",
       "         [162, 158, 161]]], dtype=uint8),\n",
       " array([[[ 82, 151, 161],\n",
       "         [ 82, 151, 161],\n",
       "         [ 82, 151, 161],\n",
       "         ...,\n",
       "         [129, 163, 179],\n",
       "         [128, 162, 178],\n",
       "         [ 50,  84, 100]],\n",
       " \n",
       "        [[ 83, 152, 162],\n",
       "         [ 83, 152, 162],\n",
       "         [ 83, 152, 162],\n",
       "         ...,\n",
       "         [128, 162, 178],\n",
       "         [127, 161, 177],\n",
       "         [ 50,  84, 100]],\n",
       " \n",
       "        [[ 84, 153, 163],\n",
       "         [ 84, 153, 163],\n",
       "         [ 84, 153, 163],\n",
       "         ...,\n",
       "         [125, 160, 175],\n",
       "         [126, 160, 176],\n",
       "         [ 50,  84, 100]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 15,  24,  37],\n",
       "         [ 49,  51,  50],\n",
       "         [104,  99,  80],\n",
       "         ...,\n",
       "         [ 53,  52,  54],\n",
       "         [ 19,  22,  26],\n",
       "         [ 10,  16,  27]],\n",
       " \n",
       "        [[ 12,  21,  34],\n",
       "         [ 48,  50,  48],\n",
       "         [102,  97,  78],\n",
       "         ...,\n",
       "         [ 54,  54,  55],\n",
       "         [ 19,  19,  23],\n",
       "         [ 10,  15,  24]],\n",
       " \n",
       "        [[ 12,  21,  34],\n",
       "         [ 47,  49,  47],\n",
       "         [100,  95,  76],\n",
       "         ...,\n",
       "         [114, 112, 113],\n",
       "         [ 89,  90,  93],\n",
       "         [ 85,  87,  97]]], dtype=uint8),\n",
       " array([[[120, 114, 107],\n",
       "         [137, 128, 121],\n",
       "         [133, 124, 116],\n",
       "         ...,\n",
       "         [109, 108, 104],\n",
       "         [110, 108, 105],\n",
       "         [105, 103, 101]],\n",
       " \n",
       "        [[110, 105, 102],\n",
       "         [124, 121, 113],\n",
       "         [121, 121, 109],\n",
       "         ...,\n",
       "         [103, 104, 101],\n",
       "         [114, 116, 110],\n",
       "         [107, 107, 101]],\n",
       " \n",
       "        [[ 96,  93,  86],\n",
       "         [102, 102,  96],\n",
       "         [ 96,  97,  94],\n",
       "         ...,\n",
       "         [116, 115, 113],\n",
       "         [112, 110, 107],\n",
       "         [109, 105, 101]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 27,  26,  76],\n",
       "         [ 25,  24,  66],\n",
       "         [ 32,  30,  63],\n",
       "         ...,\n",
       "         [ 94,  90,  88],\n",
       "         [ 91,  86,  85],\n",
       "         [ 86,  81,  80]],\n",
       " \n",
       "        [[ 24,  23,  65],\n",
       "         [ 23,  24,  55],\n",
       "         [ 29,  27,  50],\n",
       "         ...,\n",
       "         [ 97,  91,  89],\n",
       "         [ 82,  77,  75],\n",
       "         [ 75,  72,  72]],\n",
       " \n",
       "        [[ 23,  22,  53],\n",
       "         [ 18,  22,  42],\n",
       "         [ 22,  22,  37],\n",
       "         ...,\n",
       "         [ 84,  78,  79],\n",
       "         [ 71,  68,  71],\n",
       "         [ 52,  56,  60]]], dtype=uint8),\n",
       " array([[[172, 183, 186],\n",
       "         [172, 183, 186],\n",
       "         [172, 183, 186],\n",
       "         ...,\n",
       "         [182, 192, 196],\n",
       "         [182, 192, 196],\n",
       "         [184, 195, 199]],\n",
       " \n",
       "        [[172, 183, 186],\n",
       "         [176, 186, 189],\n",
       "         [175, 184, 187],\n",
       "         ...,\n",
       "         [180, 191, 194],\n",
       "         [182, 192, 196],\n",
       "         [182, 192, 196]],\n",
       " \n",
       "        [[174, 184, 187],\n",
       "         [175, 184, 187],\n",
       "         [172, 183, 186],\n",
       "         ...,\n",
       "         [178, 189, 193],\n",
       "         [181, 191, 195],\n",
       "         [177, 189, 193]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[144, 100,  99],\n",
       "         [197, 170, 162],\n",
       "         [230, 208, 197],\n",
       "         ...,\n",
       "         [192, 185, 186],\n",
       "         [188, 182, 184],\n",
       "         [193, 186, 187]],\n",
       " \n",
       "        [[152, 114, 112],\n",
       "         [202, 177, 167],\n",
       "         [230, 208, 197],\n",
       "         ...,\n",
       "         [185, 179, 181],\n",
       "         [193, 186, 187],\n",
       "         [193, 186, 187]],\n",
       " \n",
       "        [[144, 100,  99],\n",
       "         [180, 151, 146],\n",
       "         [224, 204, 197],\n",
       "         ...,\n",
       "         [185, 179, 181],\n",
       "         [188, 182, 184],\n",
       "         [193, 186, 187]]], dtype=uint8),\n",
       " array([[[142, 152, 140],\n",
       "         [184, 192, 180],\n",
       "         [214, 217, 206],\n",
       "         ...,\n",
       "         [ 56,  59,  63],\n",
       "         [ 57,  60,  64],\n",
       "         [ 57,  60,  64]],\n",
       " \n",
       "        [[111, 125, 113],\n",
       "         [119, 130, 118],\n",
       "         [139, 145, 134],\n",
       "         ...,\n",
       "         [ 56,  59,  63],\n",
       "         [ 62,  65,  69],\n",
       "         [ 57,  60,  64]],\n",
       " \n",
       "        [[110, 127, 116],\n",
       "         [109, 125, 114],\n",
       "         [118, 130, 119],\n",
       "         ...,\n",
       "         [ 58,  61,  64],\n",
       "         [ 61,  64,  68],\n",
       "         [ 56,  59,  64]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 32,  31,  33],\n",
       "         [ 33,  32,  34],\n",
       "         [ 31,  30,  32],\n",
       "         ...,\n",
       "         [101,  97,  96],\n",
       "         [ 92,  88,  87],\n",
       "         [ 91,  87,  86]],\n",
       " \n",
       "        [[ 32,  31,  33],\n",
       "         [ 33,  32,  34],\n",
       "         [ 30,  29,  31],\n",
       "         ...,\n",
       "         [109, 104, 103],\n",
       "         [ 93,  88,  87],\n",
       "         [ 94,  90,  89]],\n",
       " \n",
       "        [[ 32,  31,  33],\n",
       "         [ 33,  32,  34],\n",
       "         [ 30,  29,  31],\n",
       "         ...,\n",
       "         [ 94,  90,  89],\n",
       "         [ 95,  91,  90],\n",
       "         [ 97,  93,  92]]], dtype=uint8),\n",
       " array([[[144, 176, 199],\n",
       "         [144, 178, 201],\n",
       "         [143, 179, 203],\n",
       "         ...,\n",
       "         [  6,  33,  92],\n",
       "         [  7,  34,  94],\n",
       "         [  4,  33,  90]],\n",
       " \n",
       "        [[145, 178, 201],\n",
       "         [144, 178, 202],\n",
       "         [144, 180, 204],\n",
       "         ...,\n",
       "         [  7,  34,  92],\n",
       "         [  8,  34,  94],\n",
       "         [  2,  15,  74]],\n",
       " \n",
       "        [[147, 179, 202],\n",
       "         [146, 180, 203],\n",
       "         [145, 181, 205],\n",
       "         ...,\n",
       "         [  6,  26,  87],\n",
       "         [  1,   8,  68],\n",
       "         [  8,   8,  75]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 72,  96, 118],\n",
       "         [ 72,  97, 119],\n",
       "         [ 78, 103, 126],\n",
       "         ...,\n",
       "         [137, 149, 169],\n",
       "         [129, 145, 162],\n",
       "         [128, 142, 161]],\n",
       " \n",
       "        [[ 73,  96, 118],\n",
       "         [ 74,  98, 119],\n",
       "         [ 78, 102, 123],\n",
       "         ...,\n",
       "         [164, 171, 186],\n",
       "         [157, 165, 179],\n",
       "         [152, 160, 176]],\n",
       " \n",
       "        [[ 72,  96, 116],\n",
       "         [ 78, 102, 122],\n",
       "         [ 80, 105, 125],\n",
       "         ...,\n",
       "         [162, 170, 184],\n",
       "         [160, 163, 178],\n",
       "         [156, 163, 178]]], dtype=uint8),\n",
       " array([[[174, 182, 184],\n",
       "         [180, 187, 190],\n",
       "         [181, 188, 190],\n",
       "         ...,\n",
       "         [201, 205, 196],\n",
       "         [197, 200, 194],\n",
       "         [190, 194, 186]],\n",
       " \n",
       "        [[172, 180, 182],\n",
       "         [179, 187, 189],\n",
       "         [182, 189, 192],\n",
       "         ...,\n",
       "         [195, 199, 191],\n",
       "         [192, 196, 189],\n",
       "         [185, 190, 183]],\n",
       " \n",
       "        [[175, 181, 184],\n",
       "         [179, 186, 188],\n",
       "         [177, 185, 186],\n",
       "         ...,\n",
       "         [190, 195, 187],\n",
       "         [186, 189, 185],\n",
       "         [181, 186, 180]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[153, 159, 156],\n",
       "         [203, 205, 206],\n",
       "         [100, 112, 110],\n",
       "         ...,\n",
       "         [  0,  90, 111],\n",
       "         [  9,  21,  30],\n",
       "         [ 28,  36,  51]],\n",
       " \n",
       "        [[197, 200, 201],\n",
       "         [104, 111, 113],\n",
       "         [120, 127, 128],\n",
       "         ...,\n",
       "         [  0,  89, 104],\n",
       "         [  6,  16,  24],\n",
       "         [ 24,  38,  45]],\n",
       " \n",
       "        [[106, 116, 116],\n",
       "         [118, 128, 126],\n",
       "         [118, 126, 126],\n",
       "         ...,\n",
       "         [  3,  48,  70],\n",
       "         [ 10,  14,  25],\n",
       "         [ 24,  36,  44]]], dtype=uint8),\n",
       " array([[[200, 225, 229],\n",
       "         [199, 224, 228],\n",
       "         [201, 226, 229],\n",
       "         ...,\n",
       "         [178, 225, 237],\n",
       "         [168, 218, 238],\n",
       "         [159, 209, 236]],\n",
       " \n",
       "        [[192, 220, 227],\n",
       "         [193, 221, 227],\n",
       "         [194, 222, 229],\n",
       "         ...,\n",
       "         [167, 214, 240],\n",
       "         [157, 205, 239],\n",
       "         [146, 197, 238]],\n",
       " \n",
       "        [[195, 220, 230],\n",
       "         [196, 221, 231],\n",
       "         [196, 220, 229],\n",
       "         ...,\n",
       "         [158, 204, 240],\n",
       "         [142, 191, 231],\n",
       "         [135, 184, 224]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[188, 184, 169],\n",
       "         [197, 191, 180],\n",
       "         [194, 186, 183],\n",
       "         ...,\n",
       "         [ 87, 103, 115],\n",
       "         [ 73,  93, 111],\n",
       "         [ 85, 112, 136]],\n",
       " \n",
       "        [[153, 147, 147],\n",
       "         [112, 108,  94],\n",
       "         [185, 179, 162],\n",
       "         ...,\n",
       "         [105, 135, 160],\n",
       "         [ 85, 110, 127],\n",
       "         [ 83, 102, 117]],\n",
       " \n",
       "        [[222, 213, 209],\n",
       "         [206, 197, 202],\n",
       "         [130, 123, 139],\n",
       "         ...,\n",
       "         [104, 136, 167],\n",
       "         [107, 141, 172],\n",
       "         [107, 138, 164]]], dtype=uint8),\n",
       " array([[[255, 239, 205],\n",
       "         [255, 244, 214],\n",
       "         [255, 245, 218],\n",
       "         ...,\n",
       "         [195, 137,  92],\n",
       "         [192, 137,  90],\n",
       "         [192, 133,  86]],\n",
       " \n",
       "        [[255, 241, 210],\n",
       "         [255, 247, 219],\n",
       "         [255, 250, 222],\n",
       "         ...,\n",
       "         [201, 142,  96],\n",
       "         [199, 140,  95],\n",
       "         [197, 138,  93]],\n",
       " \n",
       "        [[255, 244, 211],\n",
       "         [255, 249, 220],\n",
       "         [255, 253, 224],\n",
       "         ...,\n",
       "         [204, 146,  96],\n",
       "         [203, 142,  92],\n",
       "         [198, 139,  89]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[251, 238, 206],\n",
       "         [255, 244, 216],\n",
       "         [255, 250, 223],\n",
       "         ...,\n",
       "         [ 71,  74,  81],\n",
       "         [ 72,  76,  81],\n",
       "         [ 81,  86,  93]],\n",
       " \n",
       "        [[250, 235, 203],\n",
       "         [255, 245, 217],\n",
       "         [255, 247, 220],\n",
       "         ...,\n",
       "         [ 89,  96,  98],\n",
       "         [ 92, 101, 103],\n",
       "         [ 94, 102, 108]],\n",
       " \n",
       "        [[251, 235, 202],\n",
       "         [255, 242, 214],\n",
       "         [255, 247, 220],\n",
       "         ...,\n",
       "         [100, 107, 110],\n",
       "         [ 99, 108, 111],\n",
       "         [ 96, 105, 116]]], dtype=uint8),\n",
       " array([[[217, 212, 210],\n",
       "         [216, 212, 209],\n",
       "         [215, 212, 210],\n",
       "         ...,\n",
       "         [205, 200, 192],\n",
       "         [206, 201, 193],\n",
       "         [208, 203, 197]],\n",
       " \n",
       "        [[214, 211, 209],\n",
       "         [214, 209, 207],\n",
       "         [213, 208, 205],\n",
       "         ...,\n",
       "         [200, 197, 193],\n",
       "         [204, 199, 193],\n",
       "         [205, 200, 192]],\n",
       " \n",
       "        [[213, 210, 208],\n",
       "         [210, 207, 206],\n",
       "         [210, 206, 204],\n",
       "         ...,\n",
       "         [194, 194, 193],\n",
       "         [199, 197, 193],\n",
       "         [200, 197, 193]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[232, 231, 235],\n",
       "         [231, 231, 234],\n",
       "         [221, 221, 222],\n",
       "         ...,\n",
       "         [153, 166, 181],\n",
       "         [175, 181, 187],\n",
       "         [187, 190, 191]],\n",
       " \n",
       "        [[235, 236, 240],\n",
       "         [231, 231, 235],\n",
       "         [220, 222, 225],\n",
       "         ...,\n",
       "         [163, 174, 188],\n",
       "         [175, 184, 193],\n",
       "         [188, 194, 201]],\n",
       " \n",
       "        [[236, 235, 237],\n",
       "         [230, 230, 233],\n",
       "         [218, 218, 219],\n",
       "         ...,\n",
       "         [164, 175, 189],\n",
       "         [181, 189, 199],\n",
       "         [188, 195, 203]]], dtype=uint8),\n",
       " array([[[156, 158, 158],\n",
       "         [152, 154, 154],\n",
       "         [156, 158, 158],\n",
       "         ...,\n",
       "         [ 53,  57,  62],\n",
       "         [ 52,  56,  61],\n",
       "         [ 69,  73,  78]],\n",
       " \n",
       "        [[155, 157, 157],\n",
       "         [155, 157, 157],\n",
       "         [156, 158, 158],\n",
       "         ...,\n",
       "         [ 41,  45,  50],\n",
       "         [ 56,  60,  66],\n",
       "         [ 70,  74,  78]],\n",
       " \n",
       "        [[156, 158, 158],\n",
       "         [156, 158, 158],\n",
       "         [158, 160, 160],\n",
       "         ...,\n",
       "         [ 87,  91,  96],\n",
       "         [111, 115, 120],\n",
       "         [ 63,  67,  71]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[213, 213, 213],\n",
       "         [213, 213, 213],\n",
       "         [214, 214, 214],\n",
       "         ...,\n",
       "         [173, 177, 181],\n",
       "         [184, 187, 188],\n",
       "         [197, 199, 199]],\n",
       " \n",
       "        [[214, 214, 214],\n",
       "         [214, 214, 214],\n",
       "         [215, 215, 215],\n",
       "         ...,\n",
       "         [165, 169, 173],\n",
       "         [165, 170, 172],\n",
       "         [170, 175, 174]],\n",
       " \n",
       "        [[213, 213, 213],\n",
       "         [213, 213, 213],\n",
       "         [216, 216, 216],\n",
       "         ...,\n",
       "         [169, 173, 174],\n",
       "         [165, 169, 170],\n",
       "         [165, 170, 171]]], dtype=uint8),\n",
       " array([[[186, 188, 176],\n",
       "         [183, 185, 173],\n",
       "         [187, 189, 177],\n",
       "         ...,\n",
       "         [183, 120, 163],\n",
       "         [166, 107, 154],\n",
       "         [160,  93, 141]],\n",
       " \n",
       "        [[183, 187, 175],\n",
       "         [191, 192, 181],\n",
       "         [192, 193, 181],\n",
       "         ...,\n",
       "         [205, 140, 185],\n",
       "         [198, 131, 177],\n",
       "         [183, 116, 157]],\n",
       " \n",
       "        [[183, 187, 175],\n",
       "         [186, 189, 177],\n",
       "         [187, 188, 176],\n",
       "         ...,\n",
       "         [189, 125, 170],\n",
       "         [207, 139, 183],\n",
       "         [197, 141, 170]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[158, 169, 159],\n",
       "         [161, 171, 162],\n",
       "         [162, 172, 162],\n",
       "         ...,\n",
       "         [165, 179, 168],\n",
       "         [166, 177, 164],\n",
       "         [159, 168, 154]],\n",
       " \n",
       "        [[142, 153, 142],\n",
       "         [160, 170, 160],\n",
       "         [158, 167, 157],\n",
       "         ...,\n",
       "         [163, 175, 163],\n",
       "         [161, 171, 157],\n",
       "         [156, 167, 150]],\n",
       " \n",
       "        [[151, 162, 150],\n",
       "         [160, 169, 159],\n",
       "         [157, 165, 155],\n",
       "         ...,\n",
       "         [160, 171, 158],\n",
       "         [152, 163, 147],\n",
       "         [146, 159, 141]]], dtype=uint8),\n",
       " array([[[152, 182, 185],\n",
       "         [148, 177, 183],\n",
       "         [150, 179, 185],\n",
       "         ...,\n",
       "         [179, 195, 197],\n",
       "         [186, 198, 201],\n",
       "         [187, 198, 197]],\n",
       " \n",
       "        [[151, 180, 184],\n",
       "         [145, 175, 182],\n",
       "         [105, 141, 152],\n",
       "         ...,\n",
       "         [183, 197, 199],\n",
       "         [177, 193, 196],\n",
       "         [185, 197, 197]],\n",
       " \n",
       "        [[151, 181, 185],\n",
       "         [154, 183, 187],\n",
       "         [151, 180, 184],\n",
       "         ...,\n",
       "         [189, 203, 202],\n",
       "         [165, 178, 185],\n",
       "         [191, 201, 202]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[134, 164, 170],\n",
       "         [127, 158, 166],\n",
       "         [132, 163, 169],\n",
       "         ...,\n",
       "         [112, 143, 157],\n",
       "         [134, 161, 171],\n",
       "         [124, 151, 163]],\n",
       " \n",
       "        [[130, 161, 167],\n",
       "         [129, 158, 167],\n",
       "         [131, 162, 168],\n",
       "         ...,\n",
       "         [124, 152, 166],\n",
       "         [136, 163, 171],\n",
       "         [ 97, 132, 150]],\n",
       " \n",
       "        [[125, 156, 164],\n",
       "         [125, 157, 165],\n",
       "         [123, 155, 164],\n",
       "         ...,\n",
       "         [121, 151, 165],\n",
       "         [122, 152, 164],\n",
       "         [ 99, 134, 148]]], dtype=uint8),\n",
       " array([[[ 79, 110, 149],\n",
       "         [ 81, 115, 158],\n",
       "         [ 81, 116, 161],\n",
       "         ...,\n",
       "         [113, 147, 162],\n",
       "         [106, 136, 153],\n",
       "         [116, 154, 173]],\n",
       " \n",
       "        [[ 79, 110, 149],\n",
       "         [ 79, 113, 156],\n",
       "         [ 80, 115, 160],\n",
       "         ...,\n",
       "         [110, 147, 164],\n",
       "         [115, 149, 169],\n",
       "         [114, 155, 178]],\n",
       " \n",
       "        [[ 76, 107, 146],\n",
       "         [ 80, 114, 157],\n",
       "         [ 79, 115, 160],\n",
       "         ...,\n",
       "         [104, 142, 160],\n",
       "         [121, 154, 174],\n",
       "         [117, 158, 181]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 73, 110, 150],\n",
       "         [ 75, 111, 151],\n",
       "         [ 74, 109, 149],\n",
       "         ...,\n",
       "         [139, 180, 203],\n",
       "         [135, 176, 199],\n",
       "         [138, 179, 202]],\n",
       " \n",
       "        [[ 74, 110, 150],\n",
       "         [ 73, 109, 149],\n",
       "         [ 75, 111, 151],\n",
       "         ...,\n",
       "         [144, 182, 202],\n",
       "         [140, 181, 204],\n",
       "         [137, 178, 201]],\n",
       " \n",
       "        [[ 74, 110, 150],\n",
       "         [ 73, 109, 149],\n",
       "         [ 76, 112, 152],\n",
       "         ...,\n",
       "         [139, 180, 202],\n",
       "         [138, 180, 203],\n",
       "         [135, 176, 199]]], dtype=uint8),\n",
       " array([[[ 65,  88, 102],\n",
       "         [ 70,  93, 110],\n",
       "         [ 68,  92, 113],\n",
       "         ...,\n",
       "         [  1,   1,   1],\n",
       "         [  4,   4,   4],\n",
       "         [  5,   5,   5]],\n",
       " \n",
       "        [[ 61,  81, 106],\n",
       "         [ 73,  93, 118],\n",
       "         [ 72,  93, 116],\n",
       "         ...,\n",
       "         [  7,   7,   7],\n",
       "         [  7,   7,   7],\n",
       "         [  4,   4,   4]],\n",
       " \n",
       "        [[ 57,  79, 104],\n",
       "         [ 68,  90, 113],\n",
       "         [ 72,  95, 115],\n",
       "         ...,\n",
       "         [  6,   6,   6],\n",
       "         [  4,   4,   4],\n",
       "         [  8,   8,   8]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[  8,  10,  10],\n",
       "         [  2,   4,   4],\n",
       "         [  6,   8,   8],\n",
       "         ...,\n",
       "         [  4,   4,   4],\n",
       "         [  4,   4,   4],\n",
       "         [  1,   1,   1]],\n",
       " \n",
       "        [[  0,   2,   2],\n",
       "         [  4,   6,   6],\n",
       "         [ 11,  13,  13],\n",
       "         ...,\n",
       "         [  3,   3,   3],\n",
       "         [  1,   1,   1],\n",
       "         [  3,   3,   3]],\n",
       " \n",
       "        [[  7,   9,   9],\n",
       "         [  3,   5,   5],\n",
       "         [  7,   9,   9],\n",
       "         ...,\n",
       "         [  4,   4,   4],\n",
       "         [  1,   1,   1],\n",
       "         [  1,   1,   1]]], dtype=uint8),\n",
       " array([[[145, 153, 164],\n",
       "         [143, 153, 163],\n",
       "         [143, 152, 163],\n",
       "         ...,\n",
       "         [158, 169, 177],\n",
       "         [158, 170, 179],\n",
       "         [159, 168, 177]],\n",
       " \n",
       "        [[145, 153, 166],\n",
       "         [145, 152, 165],\n",
       "         [144, 153, 165],\n",
       "         ...,\n",
       "         [160, 169, 179],\n",
       "         [160, 169, 179],\n",
       "         [159, 169, 178]],\n",
       " \n",
       "        [[145, 154, 167],\n",
       "         [145, 152, 167],\n",
       "         [145, 153, 165],\n",
       "         ...,\n",
       "         [160, 170, 178],\n",
       "         [159, 170, 179],\n",
       "         [159, 168, 180]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[177, 190, 202],\n",
       "         [173, 190, 202],\n",
       "         [176, 192, 203],\n",
       "         ...,\n",
       "         [120, 143, 155],\n",
       "         [125, 142, 158],\n",
       "         [127, 145, 160]],\n",
       " \n",
       "        [[193, 205, 210],\n",
       "         [191, 204, 211],\n",
       "         [183, 197, 206],\n",
       "         ...,\n",
       "         [124, 141, 156],\n",
       "         [126, 142, 158],\n",
       "         [128, 144, 158]],\n",
       " \n",
       "        [[178, 193, 207],\n",
       "         [174, 192, 205],\n",
       "         [171, 189, 201],\n",
       "         ...,\n",
       "         [123, 139, 155],\n",
       "         [126, 141, 156],\n",
       "         [128, 143, 157]]], dtype=uint8),\n",
       " array([[[ 77,  86, 113],\n",
       "         [ 82,  91, 118],\n",
       "         [ 91, 100, 127],\n",
       "         ...,\n",
       "         [144, 153, 163],\n",
       "         [144, 154, 164],\n",
       "         [143, 153, 163]],\n",
       " \n",
       "        [[ 83,  92, 119],\n",
       "         [ 86,  95, 122],\n",
       "         [ 90,  99, 126],\n",
       "         ...,\n",
       "         [149, 158, 168],\n",
       "         [148, 158, 168],\n",
       "         [147, 157, 167]],\n",
       " \n",
       "        [[ 92, 101, 128],\n",
       "         [ 89,  98, 125],\n",
       "         [104, 110, 138],\n",
       "         ...,\n",
       "         [147, 157, 168],\n",
       "         [149, 159, 169],\n",
       "         [149, 159, 169]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 19,  26,  40],\n",
       "         [ 25,  28,  42],\n",
       "         [ 19,  21,  33],\n",
       "         ...,\n",
       "         [ 28,  51,  93],\n",
       "         [ 29,  51,  93],\n",
       "         [ 36,  58, 100]],\n",
       " \n",
       "        [[ 27,  34,  47],\n",
       "         [  0,   2,  17],\n",
       "         [  0,   1,  13],\n",
       "         ...,\n",
       "         [ 26,  46,  88],\n",
       "         [ 21,  43,  85],\n",
       "         [ 26,  48,  90]],\n",
       " \n",
       "        [[ 29,  30,  44],\n",
       "         [  7,   8,  22],\n",
       "         [  0,   0,  12],\n",
       "         ...,\n",
       "         [ 22,  38,  75],\n",
       "         [ 24,  42,  81],\n",
       "         [ 25,  44,  87]]], dtype=uint8),\n",
       " array([[[179,  96,  35],\n",
       "         [174,  93,  32],\n",
       "         [180,  99,  39],\n",
       "         ...,\n",
       "         [141, 115, 104],\n",
       "         [142, 115, 102],\n",
       "         [146, 119, 105]],\n",
       " \n",
       "        [[177,  96,  34],\n",
       "         [174,  93,  32],\n",
       "         [178,  98,  37],\n",
       "         ...,\n",
       "         [152, 130, 119],\n",
       "         [155, 133, 118],\n",
       "         [154, 131, 116]],\n",
       " \n",
       "        [[177,  96,  34],\n",
       "         [176,  96,  33],\n",
       "         [177,  97,  33],\n",
       "         ...,\n",
       "         [164, 146, 134],\n",
       "         [163, 145, 132],\n",
       "         [164, 144, 129]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[106,  81,  95],\n",
       "         [102,  82,  95],\n",
       "         [103,  84,  99],\n",
       "         ...,\n",
       "         [ 77,  52,  81],\n",
       "         [ 72,  47,  75],\n",
       "         [ 74,  52,  78]],\n",
       " \n",
       "        [[103,  80,  94],\n",
       "         [106,  85, 100],\n",
       "         [107,  87, 105],\n",
       "         ...,\n",
       "         [ 79,  54,  80],\n",
       "         [ 72,  47,  73],\n",
       "         [ 67,  45,  70]],\n",
       " \n",
       "        [[108,  85, 100],\n",
       "         [113,  92, 109],\n",
       "         [109,  89, 109],\n",
       "         ...,\n",
       "         [ 68,  45,  71],\n",
       "         [ 72,  47,  76],\n",
       "         [ 73,  49,  79]]], dtype=uint8),\n",
       " array([[[189, 199, 205],\n",
       "         [189, 199, 206],\n",
       "         [188, 198, 205],\n",
       "         ...,\n",
       "         [185, 197, 205],\n",
       "         [186, 197, 205],\n",
       "         [186, 197, 205]],\n",
       " \n",
       "        [[139, 157, 168],\n",
       "         [139, 156, 169],\n",
       "         [138, 155, 168],\n",
       "         ...,\n",
       "         [132, 153, 168],\n",
       "         [133, 153, 168],\n",
       "         [134, 153, 168]],\n",
       " \n",
       "        [[139, 157, 168],\n",
       "         [139, 156, 169],\n",
       "         [138, 155, 168],\n",
       "         ...,\n",
       "         [133, 154, 169],\n",
       "         [134, 154, 169],\n",
       "         [135, 154, 169]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[136, 145, 155],\n",
       "         [137, 144, 157],\n",
       "         [135, 143, 155],\n",
       "         ...,\n",
       "         [132, 154, 171],\n",
       "         [132, 155, 172],\n",
       "         [135, 154, 171]],\n",
       " \n",
       "        [[136, 145, 155],\n",
       "         [135, 143, 156],\n",
       "         [135, 143, 156],\n",
       "         ...,\n",
       "         [132, 153, 171],\n",
       "         [132, 154, 171],\n",
       "         [133, 154, 171]],\n",
       " \n",
       "        [[135, 144, 154],\n",
       "         [134, 142, 155],\n",
       "         [134, 142, 155],\n",
       "         ...,\n",
       "         [132, 154, 172],\n",
       "         [131, 154, 171],\n",
       "         [133, 153, 171]]], dtype=uint8),\n",
       " array([[[ 52,  69,  72],\n",
       "         [ 52,  69,  72],\n",
       "         [ 51,  68,  71],\n",
       "         ...,\n",
       "         [120, 189, 202],\n",
       "         [107, 179, 191],\n",
       "         [ 89, 165, 177]],\n",
       " \n",
       "        [[ 52,  69,  72],\n",
       "         [ 52,  69,  72],\n",
       "         [ 52,  69,  72],\n",
       "         ...,\n",
       "         [123, 193, 206],\n",
       "         [112, 184, 196],\n",
       "         [ 86, 162, 174]],\n",
       " \n",
       "        [[ 52,  69,  72],\n",
       "         [ 52,  69,  72],\n",
       "         [ 54,  71,  74],\n",
       "         ...,\n",
       "         [121, 190, 203],\n",
       "         [105, 177, 189],\n",
       "         [ 89, 165, 177]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[  3,  24,  54],\n",
       "         [  0,  23,  56],\n",
       "         [  1,  31,  66],\n",
       "         ...,\n",
       "         [ 67, 136, 153],\n",
       "         [ 80, 146, 164],\n",
       "         [ 70, 134, 152]],\n",
       " \n",
       "        [[  9,  36,  68],\n",
       "         [  3,  31,  66],\n",
       "         [  4,  33,  69],\n",
       "         ...,\n",
       "         [ 73, 143, 159],\n",
       "         [ 74, 140, 158],\n",
       "         [ 67, 131, 149]],\n",
       " \n",
       "        [[  4,  35,  68],\n",
       "         [  3,  30,  67],\n",
       "         [  8,  36,  73],\n",
       "         ...,\n",
       "         [ 67, 136, 153],\n",
       "         [ 66, 133, 151],\n",
       "         [ 74, 138, 156]]], dtype=uint8),\n",
       " array([[[  5,   2,   4],\n",
       "         [  3,   2,   4],\n",
       "         [  4,   6,   7],\n",
       "         ...,\n",
       "         [208, 211, 215],\n",
       "         [209, 212, 216],\n",
       "         [213, 217, 221]],\n",
       " \n",
       "        [[  5,   2,   4],\n",
       "         [  3,   2,   4],\n",
       "         [  4,   6,   7],\n",
       "         ...,\n",
       "         [210, 212, 214],\n",
       "         [210, 212, 214],\n",
       "         [223, 225, 226]],\n",
       " \n",
       "        [[  5,   2,   4],\n",
       "         [  3,   2,   4],\n",
       "         [  4,   6,   7],\n",
       "         ...,\n",
       "         [209, 211, 212],\n",
       "         [225, 226, 227],\n",
       "         [226, 228, 229]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[151, 172, 194],\n",
       "         [149, 170, 192],\n",
       "         [150, 171, 192],\n",
       "         ...,\n",
       "         [230, 233, 238],\n",
       "         [223, 230, 238],\n",
       "         [200, 209, 221]],\n",
       " \n",
       "        [[152, 173, 194],\n",
       "         [150, 171, 192],\n",
       "         [150, 171, 192],\n",
       "         ...,\n",
       "         [233, 236, 241],\n",
       "         [230, 234, 239],\n",
       "         [226, 234, 238]],\n",
       " \n",
       "        [[151, 170, 191],\n",
       "         [149, 168, 189],\n",
       "         [153, 172, 193],\n",
       "         ...,\n",
       "         [234, 236, 244],\n",
       "         [234, 238, 242],\n",
       "         [232, 237, 236]]], dtype=uint8),\n",
       " array([[[170, 171, 175],\n",
       "         [171, 172, 176],\n",
       "         [173, 174, 178],\n",
       "         ...,\n",
       "         [184, 183, 184],\n",
       "         [182, 181, 183],\n",
       "         [180, 179, 181]],\n",
       " \n",
       "        [[170, 171, 175],\n",
       "         [172, 173, 177],\n",
       "         [172, 173, 177],\n",
       "         ...,\n",
       "         [185, 184, 186],\n",
       "         [184, 182, 184],\n",
       "         [182, 181, 183]],\n",
       " \n",
       "        [[171, 173, 177],\n",
       "         [173, 174, 178],\n",
       "         [174, 175, 179],\n",
       "         ...,\n",
       "         [186, 185, 187],\n",
       "         [184, 183, 185],\n",
       "         [183, 182, 183]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[134, 141, 150],\n",
       "         [163, 170, 179],\n",
       "         [160, 167, 176],\n",
       "         ...,\n",
       "         [ 86,  92, 108],\n",
       "         [ 94, 100, 113],\n",
       "         [101, 104, 118]],\n",
       " \n",
       "        [[137, 146, 155],\n",
       "         [159, 168, 177],\n",
       "         [160, 169, 178],\n",
       "         ...,\n",
       "         [ 84,  91, 106],\n",
       "         [ 92,  98, 110],\n",
       "         [100, 104, 115]],\n",
       " \n",
       "        [[234, 234, 234],\n",
       "         [234, 234, 234],\n",
       "         [234, 234, 234],\n",
       "         ...,\n",
       "         [234, 234, 234],\n",
       "         [234, 234, 234],\n",
       "         [234, 234, 234]]], dtype=uint8),\n",
       " array([[[ 59,  90, 114],\n",
       "         [ 60,  96, 140],\n",
       "         [115, 173, 210],\n",
       "         ...,\n",
       "         [ 88, 104, 116],\n",
       "         [134, 149, 166],\n",
       "         [143, 159, 172]],\n",
       " \n",
       "        [[ 61,  88, 109],\n",
       "         [ 61,  97, 141],\n",
       "         [115, 172, 215],\n",
       "         ...,\n",
       "         [ 86, 102, 115],\n",
       "         [137, 150, 168],\n",
       "         [142, 158, 171]],\n",
       " \n",
       "        [[ 65,  87, 106],\n",
       "         [ 63,  96, 143],\n",
       "         [116, 172, 219],\n",
       "         ...,\n",
       "         [ 91, 107, 120],\n",
       "         [135, 149, 166],\n",
       "         [154, 170, 182]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 71, 101, 127],\n",
       "         [ 57,  89, 118],\n",
       "         [ 55,  88, 117],\n",
       "         ...,\n",
       "         [129, 139, 148],\n",
       "         [131, 141, 151],\n",
       "         [123, 133, 143]],\n",
       " \n",
       "        [[ 52,  83, 106],\n",
       "         [ 54,  87, 113],\n",
       "         [ 56,  89, 118],\n",
       "         ...,\n",
       "         [124, 134, 143],\n",
       "         [127, 137, 147],\n",
       "         [125, 135, 145]],\n",
       " \n",
       "        [[ 51,  82, 103],\n",
       "         [ 51,  85, 109],\n",
       "         [ 64,  98, 125],\n",
       "         ...,\n",
       "         [133, 144, 153],\n",
       "         [121, 131, 141],\n",
       "         [127, 137, 147]]], dtype=uint8),\n",
       " array([[[  7,  10,   8],\n",
       "         [  6,  10,   8],\n",
       "         [  6,  11,  10],\n",
       "         ...,\n",
       "         [  2,   4,   4],\n",
       "         [  2,   5,   5],\n",
       "         [  2,   4,   4]],\n",
       " \n",
       "        [[  6,   9,   7],\n",
       "         [  6,   9,   7],\n",
       "         [  7,   9,   9],\n",
       "         ...,\n",
       "         [  3,   5,   5],\n",
       "         [  2,   4,   4],\n",
       "         [  1,   3,   3]],\n",
       " \n",
       "        [[  6,   9,   8],\n",
       "         [  6,   8,   8],\n",
       "         [  8,   9,   9],\n",
       "         ...,\n",
       "         [  2,   3,   3],\n",
       "         [  2,   4,   4],\n",
       "         [  2,   4,   4]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 24, 104,  81],\n",
       "         [ 26, 105,  83],\n",
       "         [ 26, 106,  84],\n",
       "         ...,\n",
       "         [ 20,  86,  62],\n",
       "         [ 21,  87,  66],\n",
       "         [ 28,  93,  72]],\n",
       " \n",
       "        [[ 25, 107,  85],\n",
       "         [ 24, 105,  84],\n",
       "         [ 31, 110,  89],\n",
       "         ...,\n",
       "         [ 18,  86,  63],\n",
       "         [ 19,  90,  67],\n",
       "         [ 20,  92,  69]],\n",
       " \n",
       "        [[ 27, 110,  88],\n",
       "         [ 29, 110,  90],\n",
       "         [ 30, 111,  91],\n",
       "         ...,\n",
       "         [ 13,  83,  60],\n",
       "         [ 17,  90,  65],\n",
       "         [ 16,  89,  63]]], dtype=uint8),\n",
       " array([[[121, 129, 136],\n",
       "         [121, 129, 136],\n",
       "         [119, 127, 134],\n",
       "         ...,\n",
       "         [175, 169, 170],\n",
       "         [164, 161, 161],\n",
       "         [163, 161, 161]],\n",
       " \n",
       "        [[110, 118, 125],\n",
       "         [114, 122, 129],\n",
       "         [115, 123, 130],\n",
       "         ...,\n",
       "         [169, 164, 165],\n",
       "         [170, 167, 167],\n",
       "         [170, 168, 168]],\n",
       " \n",
       "        [[120, 128, 135],\n",
       "         [117, 125, 132],\n",
       "         [116, 124, 131],\n",
       "         ...,\n",
       "         [170, 167, 168],\n",
       "         [170, 168, 168],\n",
       "         [170, 168, 168]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 97, 112, 115],\n",
       "         [103, 118, 121],\n",
       "         [104, 119, 122],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [254, 254, 254]],\n",
       " \n",
       "        [[105, 119, 124],\n",
       "         [100, 114, 120],\n",
       "         [101, 116, 122],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [254, 254, 254]],\n",
       " \n",
       "        [[ 99, 113, 119],\n",
       "         [ 98, 112, 119],\n",
       "         [ 96, 111, 119],\n",
       "         ...,\n",
       "         [252, 252, 252],\n",
       "         [252, 252, 252],\n",
       "         [251, 251, 251]]], dtype=uint8),\n",
       " array([[[174, 202, 221],\n",
       "         [202, 226, 243],\n",
       "         [201, 224, 240],\n",
       "         ...,\n",
       "         [172, 203, 224],\n",
       "         [169, 200, 221],\n",
       "         [168, 199, 220]],\n",
       " \n",
       "        [[170, 201, 222],\n",
       "         [173, 202, 223],\n",
       "         [201, 225, 243],\n",
       "         ...,\n",
       "         [170, 201, 222],\n",
       "         [169, 200, 221],\n",
       "         [167, 198, 219]],\n",
       " \n",
       "        [[169, 200, 221],\n",
       "         [170, 200, 221],\n",
       "         [184, 210, 230],\n",
       "         ...,\n",
       "         [169, 200, 221],\n",
       "         [169, 200, 221],\n",
       "         [167, 198, 221]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[  8,  12,  17],\n",
       "         [ 10,  15,  19],\n",
       "         [ 21,  31,  38],\n",
       "         ...,\n",
       "         [ 38,  55,  64],\n",
       "         [ 38,  54,  63],\n",
       "         [ 24,  38,  47]],\n",
       " \n",
       "        [[ 13,  21,  24],\n",
       "         [ 26,  37,  45],\n",
       "         [ 30,  46,  54],\n",
       "         ...,\n",
       "         [ 37,  55,  63],\n",
       "         [ 35,  52,  61],\n",
       "         [ 37,  54,  63]],\n",
       " \n",
       "        [[ 30,  43,  52],\n",
       "         [ 34,  50,  59],\n",
       "         [ 39,  55,  66],\n",
       "         ...,\n",
       "         [ 36,  53,  62],\n",
       "         [ 33,  52,  60],\n",
       "         [ 34,  54,  62]]], dtype=uint8),\n",
       " array([[[ 1,  2,  2],\n",
       "         [ 9, 11,  9],\n",
       "         [ 9, 12, 12],\n",
       "         ...,\n",
       "         [ 0,  4,  3],\n",
       "         [ 0,  4,  3],\n",
       "         [ 2,  2,  2]],\n",
       " \n",
       "        [[ 1,  1,  1],\n",
       "         [ 3,  4,  4],\n",
       "         [26, 31, 29],\n",
       "         ...,\n",
       "         [ 1,  6,  5],\n",
       "         [ 1,  3,  3],\n",
       "         [ 3,  3,  3]],\n",
       " \n",
       "        [[ 2,  2,  2],\n",
       "         [ 1,  2,  2],\n",
       "         [ 6, 10,  6],\n",
       "         ...,\n",
       "         [ 2,  4,  4],\n",
       "         [ 1,  3,  3],\n",
       "         [ 2,  2,  2]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 4,  5,  3],\n",
       "         [ 1,  5,  5],\n",
       "         [ 1,  5,  3],\n",
       "         ...,\n",
       "         [49, 46, 42],\n",
       "         [46, 45, 42],\n",
       "         [43, 42, 32]],\n",
       " \n",
       "        [[ 5,  6,  4],\n",
       "         [ 2,  6,  4],\n",
       "         [ 2,  4,  4],\n",
       "         ...,\n",
       "         [51, 47, 46],\n",
       "         [44, 44, 36],\n",
       "         [47, 47, 33]],\n",
       " \n",
       "        [[ 6,  8,  3],\n",
       "         [ 2,  4,  3],\n",
       "         [ 1,  6,  5],\n",
       "         ...,\n",
       "         [51, 48, 44],\n",
       "         [42, 40, 34],\n",
       "         [47, 46, 36]]], dtype=uint8),\n",
       " array([[[206, 204, 195],\n",
       "         [174, 173, 164],\n",
       "         [203, 201, 192],\n",
       "         ...,\n",
       "         [218, 220, 213],\n",
       "         [215, 218, 210],\n",
       "         [213, 215, 208]],\n",
       " \n",
       "        [[201, 199, 190],\n",
       "         [205, 204, 195],\n",
       "         [166, 164, 155],\n",
       "         ...,\n",
       "         [215, 218, 211],\n",
       "         [214, 217, 209],\n",
       "         [217, 219, 212]],\n",
       " \n",
       "        [[203, 201, 192],\n",
       "         [204, 203, 194],\n",
       "         [204, 203, 194],\n",
       "         ...,\n",
       "         [213, 216, 209],\n",
       "         [216, 219, 212],\n",
       "         [216, 219, 212]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[251, 247, 245],\n",
       "         [251, 247, 245],\n",
       "         [251, 247, 245],\n",
       "         ...,\n",
       "         [200, 212, 237],\n",
       "         [190, 202, 229],\n",
       "         [187, 198, 226]],\n",
       " \n",
       "        [[251, 247, 245],\n",
       "         [251, 247, 245],\n",
       "         [251, 247, 245],\n",
       "         ...,\n",
       "         [201, 215, 233],\n",
       "         [200, 213, 234],\n",
       "         [193, 205, 230]],\n",
       " \n",
       "        [[251, 247, 245],\n",
       "         [251, 247, 245],\n",
       "         [251, 247, 245],\n",
       "         ...,\n",
       "         [203, 215, 232],\n",
       "         [202, 214, 235],\n",
       "         [201, 213, 235]]], dtype=uint8),\n",
       " array([[[110, 120, 137],\n",
       "         [112, 122, 139],\n",
       "         [109, 123, 140],\n",
       "         ...,\n",
       "         [ 56,  74,  92],\n",
       "         [ 49,  74,  90],\n",
       "         [ 60,  80,  97]],\n",
       " \n",
       "        [[113, 123, 140],\n",
       "         [112, 122, 139],\n",
       "         [110, 123, 140],\n",
       "         ...,\n",
       "         [ 56,  73,  91],\n",
       "         [ 51,  76,  92],\n",
       "         [ 60,  80,  97]],\n",
       " \n",
       "        [[113, 123, 140],\n",
       "         [112, 122, 139],\n",
       "         [112, 123, 140],\n",
       "         ...,\n",
       "         [ 56,  74,  92],\n",
       "         [ 50,  75,  91],\n",
       "         [ 60,  80,  97]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 48,  50,  51],\n",
       "         [ 48,  50,  51],\n",
       "         [ 46,  49,  50],\n",
       "         ...,\n",
       "         [ 66,  78,  92],\n",
       "         [ 69,  81,  93],\n",
       "         [ 68,  80,  92]],\n",
       " \n",
       "        [[ 49,  51,  52],\n",
       "         [ 51,  53,  54],\n",
       "         [ 53,  56,  57],\n",
       "         ...,\n",
       "         [ 64,  76,  90],\n",
       "         [ 70,  82,  94],\n",
       "         [ 68,  80,  92]],\n",
       " \n",
       "        [[ 52,  54,  54],\n",
       "         [ 45,  47,  48],\n",
       "         [ 47,  50,  52],\n",
       "         ...,\n",
       "         [ 64,  76,  90],\n",
       "         [ 70,  82,  94],\n",
       "         [ 65,  77,  89]]], dtype=uint8),\n",
       " array([[[  0,   0,   0],\n",
       "         [  2,   2,   2],\n",
       "         [213, 218, 227],\n",
       "         ...,\n",
       "         [213, 217, 222],\n",
       "         [  2,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        [[  0,   0,   0],\n",
       "         [  2,   2,   2],\n",
       "         [214, 219, 227],\n",
       "         ...,\n",
       "         [213, 217, 222],\n",
       "         [  2,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        [[  0,   0,   0],\n",
       "         [  1,   1,   1],\n",
       "         [215, 220, 228],\n",
       "         ...,\n",
       "         [217, 221, 226],\n",
       "         [  2,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[  5,   1,   0],\n",
       "         [  0,   0,   0],\n",
       "         [ 31,  68, 113],\n",
       "         ...,\n",
       "         [146, 152, 160],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        [[  5,   1,   0],\n",
       "         [  2,   2,   2],\n",
       "         [ 29,  67, 111],\n",
       "         ...,\n",
       "         [143, 150, 158],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        [[  5,   0,   0],\n",
       "         [  2,   2,   2],\n",
       "         [ 31,  69, 113],\n",
       "         ...,\n",
       "         [142, 152, 160],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0]]], dtype=uint8),\n",
       " array([[[192, 195, 200],\n",
       "         [189, 193, 198],\n",
       "         [114, 133, 151],\n",
       "         ...,\n",
       "         [171, 176, 181],\n",
       "         [164, 171, 178],\n",
       "         [166, 172, 179]],\n",
       " \n",
       "        [[192, 196, 200],\n",
       "         [172, 179, 186],\n",
       "         [ 74, 110, 150],\n",
       "         ...,\n",
       "         [170, 176, 181],\n",
       "         [163, 171, 178],\n",
       "         [165, 172, 179]],\n",
       " \n",
       "        [[189, 193, 199],\n",
       "         [ 79, 115, 155],\n",
       "         [ 81, 116, 156],\n",
       "         ...,\n",
       "         [168, 174, 180],\n",
       "         [163, 170, 177],\n",
       "         [168, 174, 180]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 71, 107, 147],\n",
       "         [ 73, 109, 161],\n",
       "         [ 70, 106, 155],\n",
       "         ...,\n",
       "         [ 86, 121, 161],\n",
       "         [ 90, 126, 165],\n",
       "         [156, 175, 217]],\n",
       " \n",
       "        [[ 76, 112, 152],\n",
       "         [ 72, 108, 151],\n",
       "         [ 78, 114, 156],\n",
       "         ...,\n",
       "         [ 90, 126, 166],\n",
       "         [ 89, 126, 169],\n",
       "         [ 91, 128, 168]],\n",
       " \n",
       "        [[ 71, 106, 155],\n",
       "         [ 71, 106, 152],\n",
       "         [ 68, 104, 155],\n",
       "         ...,\n",
       "         [ 96, 135, 174],\n",
       "         [ 96, 135, 174],\n",
       "         [ 91, 129, 168]]], dtype=uint8),\n",
       " array([[[198, 198, 198],\n",
       "         [198, 198, 198],\n",
       "         [198, 198, 198],\n",
       "         ...,\n",
       "         [203, 203, 203],\n",
       "         [203, 203, 203],\n",
       "         [202, 202, 202]],\n",
       " \n",
       "        [[198, 198, 198],\n",
       "         [198, 198, 198],\n",
       "         [198, 198, 198],\n",
       "         ...,\n",
       "         [203, 203, 203],\n",
       "         [203, 203, 203],\n",
       "         [202, 202, 202]],\n",
       " \n",
       "        [[198, 198, 198],\n",
       "         [198, 198, 198],\n",
       "         [198, 198, 198],\n",
       "         ...,\n",
       "         [203, 203, 203],\n",
       "         [203, 203, 203],\n",
       "         [202, 202, 202]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 56,  46,  48],\n",
       "         [132, 123, 123],\n",
       "         [123, 115, 111],\n",
       "         ...,\n",
       "         [135, 135, 140],\n",
       "         [120, 120, 125],\n",
       "         [ 94,  97, 104]],\n",
       " \n",
       "        [[ 36,  27,  29],\n",
       "         [107,  97,  95],\n",
       "         [153, 145, 138],\n",
       "         ...,\n",
       "         [152, 150, 155],\n",
       "         [160, 158, 165],\n",
       "         [ 18,  24,  33]],\n",
       " \n",
       "        [[ 32,  27,  24],\n",
       "         [ 73,  62,  58],\n",
       "         [ 88,  80,  72],\n",
       "         ...,\n",
       "         [144, 143, 145],\n",
       "         [147, 146, 148],\n",
       "         [ 15,  18,  26]]], dtype=uint8),\n",
       " array([[[176, 179, 179],\n",
       "         [194, 197, 195],\n",
       "         [204, 208, 202],\n",
       "         ...,\n",
       "         [253, 240, 232],\n",
       "         [255, 243, 241],\n",
       "         [237, 225, 225]],\n",
       " \n",
       "        [[205, 208, 206],\n",
       "         [175, 178, 176],\n",
       "         [202, 206, 201],\n",
       "         ...,\n",
       "         [253, 240, 232],\n",
       "         [254, 241, 239],\n",
       "         [236, 224, 224]],\n",
       " \n",
       "        [[153, 157, 152],\n",
       "         [137, 141, 136],\n",
       "         [173, 177, 174],\n",
       "         ...,\n",
       "         [253, 240, 232],\n",
       "         [254, 241, 239],\n",
       "         [236, 224, 224]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 24,  44,  42],\n",
       "         [ 32,  52,  47],\n",
       "         [ 25,  47,  44],\n",
       "         ...,\n",
       "         [238, 214, 208],\n",
       "         [233, 217, 211],\n",
       "         [223, 208, 206]],\n",
       " \n",
       "        [[ 18,  37,  34],\n",
       "         [ 22,  42,  37],\n",
       "         [ 34,  55,  52],\n",
       "         ...,\n",
       "         [238, 214, 208],\n",
       "         [233, 217, 211],\n",
       "         [223, 208, 206]],\n",
       " \n",
       "        [[ 18,  33,  31],\n",
       "         [ 27,  50,  45],\n",
       "         [ 23,  41,  38],\n",
       "         ...,\n",
       "         [238, 214, 208],\n",
       "         [231, 215, 209],\n",
       "         [222, 207, 205]]], dtype=uint8),\n",
       " array([[[ 20, 114, 155],\n",
       "         [ 38, 133, 172],\n",
       "         [ 36, 129, 168],\n",
       "         ...,\n",
       "         [121, 137, 154],\n",
       "         [124, 140, 157],\n",
       "         [122, 138, 155]],\n",
       " \n",
       "        [[ 22, 113, 154],\n",
       "         [ 36, 133, 171],\n",
       "         [ 37, 128, 167],\n",
       "         ...,\n",
       "         [128, 144, 161],\n",
       "         [124, 140, 157],\n",
       "         [122, 138, 154]],\n",
       " \n",
       "        [[ 24, 112, 153],\n",
       "         [ 34, 132, 170],\n",
       "         [ 35, 127, 167],\n",
       "         ...,\n",
       "         [123, 139, 156],\n",
       "         [121, 137, 154],\n",
       "         [123, 139, 156]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[118, 129, 143],\n",
       "         [109, 120, 134],\n",
       "         [121, 132, 146],\n",
       "         ...,\n",
       "         [112, 131, 152],\n",
       "         [116, 135, 156],\n",
       "         [116, 135, 156]],\n",
       " \n",
       "        [[118, 129, 143],\n",
       "         [105, 116, 130],\n",
       "         [116, 127, 141],\n",
       "         ...,\n",
       "         [115, 134, 155],\n",
       "         [116, 135, 156],\n",
       "         [116, 135, 156]],\n",
       " \n",
       "        [[108, 119, 133],\n",
       "         [118, 129, 143],\n",
       "         [124, 135, 149],\n",
       "         ...,\n",
       "         [114, 134, 154],\n",
       "         [112, 131, 152],\n",
       "         [117, 136, 157]]], dtype=uint8),\n",
       " array([[[199, 201, 201],\n",
       "         [199, 201, 201],\n",
       "         [199, 201, 201],\n",
       "         ...,\n",
       "         [141, 143, 144],\n",
       "         [138, 140, 141],\n",
       "         [137, 139, 140]],\n",
       " \n",
       "        [[199, 201, 201],\n",
       "         [199, 201, 201],\n",
       "         [199, 201, 201],\n",
       "         ...,\n",
       "         [142, 144, 145],\n",
       "         [139, 141, 142],\n",
       "         [137, 139, 140]],\n",
       " \n",
       "        [[198, 200, 200],\n",
       "         [198, 201, 201],\n",
       "         [200, 202, 202],\n",
       "         ...,\n",
       "         [144, 146, 147],\n",
       "         [142, 144, 145],\n",
       "         [139, 141, 142]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[174, 192, 199],\n",
       "         [173, 192, 198],\n",
       "         [175, 194, 199],\n",
       "         ...,\n",
       "         [ 14,  15,  13],\n",
       "         [ 13,  14,  12],\n",
       "         [ 13,  14,  12]],\n",
       " \n",
       "        [[181, 197, 204],\n",
       "         [178, 195, 199],\n",
       "         [193, 209, 212],\n",
       "         ...,\n",
       "         [ 12,  13,  11],\n",
       "         [ 11,  12,  10],\n",
       "         [ 11,  12,  10]],\n",
       " \n",
       "        [[189, 205, 211],\n",
       "         [176, 193, 196],\n",
       "         [175, 195, 197],\n",
       "         ...,\n",
       "         [  9,  10,   8],\n",
       "         [ 10,  11,  10],\n",
       "         [ 11,  12,  10]]], dtype=uint8),\n",
       " array([[[ 92,  96, 101],\n",
       "         [ 94,  98, 103],\n",
       "         [ 94,  98, 103],\n",
       "         ...,\n",
       "         [220, 237, 232],\n",
       "         [221, 234, 231],\n",
       "         [237, 240, 239]],\n",
       " \n",
       "        [[ 92,  96, 101],\n",
       "         [ 94,  98, 103],\n",
       "         [ 94,  98, 103],\n",
       "         ...,\n",
       "         [231, 247, 242],\n",
       "         [221, 238, 234],\n",
       "         [239, 253, 250]],\n",
       " \n",
       "        [[ 92,  96, 101],\n",
       "         [ 94,  98, 103],\n",
       "         [ 94,  98, 103],\n",
       "         ...,\n",
       "         [221, 242, 236],\n",
       "         [211, 231, 227],\n",
       "         [214, 228, 226]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[122, 131, 144],\n",
       "         [101, 110, 123],\n",
       "         [124, 133, 146],\n",
       "         ...,\n",
       "         [217, 217, 212],\n",
       "         [193, 192, 187],\n",
       "         [181, 181, 176]],\n",
       " \n",
       "        [[122, 132, 145],\n",
       "         [ 98, 107, 121],\n",
       "         [120, 129, 142],\n",
       "         ...,\n",
       "         [236, 234, 233],\n",
       "         [238, 236, 235],\n",
       "         [236, 234, 233]],\n",
       " \n",
       "        [[121, 130, 143],\n",
       "         [ 90,  99, 112],\n",
       "         [122, 131, 144],\n",
       "         ...,\n",
       "         [253, 251, 250],\n",
       "         [243, 241, 240],\n",
       "         [243, 241, 240]]], dtype=uint8),\n",
       " array([[[ 38,  74, 216],\n",
       "         [ 29,  81, 169],\n",
       "         [ 96, 169, 224],\n",
       "         ...,\n",
       "         [ 42, 110, 238],\n",
       "         [ 38, 108, 233],\n",
       "         [ 35, 101, 229]],\n",
       " \n",
       "        [[ 18,  46, 200],\n",
       "         [ 19,  57, 158],\n",
       "         [127, 182, 246],\n",
       "         ...,\n",
       "         [ 56, 132, 237],\n",
       "         [ 47, 120, 228],\n",
       "         [ 40, 107, 231]],\n",
       " \n",
       "        [[ 29,  63, 216],\n",
       "         [ 13,  46, 156],\n",
       "         [110, 148, 231],\n",
       "         ...,\n",
       "         [ 68, 157, 242],\n",
       "         [ 79, 162, 254],\n",
       "         [ 33, 105, 226]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[123,  66,  79],\n",
       "         [110,  51,  73],\n",
       "         [132,  73, 106],\n",
       "         ...,\n",
       "         [143, 131, 207],\n",
       "         [158, 145, 219],\n",
       "         [139, 126, 200]],\n",
       " \n",
       "        [[225, 163, 182],\n",
       "         [213, 150, 172],\n",
       "         [194, 129, 154],\n",
       "         ...,\n",
       "         [113, 103, 181],\n",
       "         [143, 132, 212],\n",
       "         [122, 111, 191]],\n",
       " \n",
       "        [[198, 107,  97],\n",
       "         [193, 101,  91],\n",
       "         [187,  95,  83],\n",
       "         ...,\n",
       "         [140, 135, 213],\n",
       "         [103,  99, 178],\n",
       "         [148, 144, 223]]], dtype=uint8),\n",
       " array([[[212, 216, 217],\n",
       "         [213, 217, 218],\n",
       "         [212, 216, 217],\n",
       "         ...,\n",
       "         [180, 185, 188],\n",
       "         [181, 186, 189],\n",
       "         [183, 188, 191]],\n",
       " \n",
       "        [[212, 216, 217],\n",
       "         [212, 216, 217],\n",
       "         [212, 216, 217],\n",
       "         ...,\n",
       "         [180, 185, 188],\n",
       "         [180, 185, 188],\n",
       "         [182, 187, 190]],\n",
       " \n",
       "        [[212, 216, 217],\n",
       "         [212, 216, 217],\n",
       "         [212, 216, 217],\n",
       "         ...,\n",
       "         [180, 185, 188],\n",
       "         [180, 185, 188],\n",
       "         [183, 188, 191]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[164, 178, 184],\n",
       "         [163, 177, 183],\n",
       "         [163, 177, 183],\n",
       "         ...,\n",
       "         [161, 187, 199],\n",
       "         [161, 187, 199],\n",
       "         [161, 187, 199]],\n",
       " \n",
       "        [[164, 178, 184],\n",
       "         [163, 176, 183],\n",
       "         [161, 175, 181],\n",
       "         ...,\n",
       "         [162, 188, 200],\n",
       "         [162, 188, 200],\n",
       "         [160, 186, 198]],\n",
       " \n",
       "        [[165, 179, 185],\n",
       "         [163, 177, 183],\n",
       "         [161, 175, 181],\n",
       "         ...,\n",
       "         [163, 189, 201],\n",
       "         [163, 189, 201],\n",
       "         [163, 189, 201]]], dtype=uint8),\n",
       " array([[[188, 202, 221],\n",
       "         [188, 202, 221],\n",
       "         [187, 201, 220],\n",
       "         ...,\n",
       "         [142, 147, 168],\n",
       "         [147, 152, 173],\n",
       "         [146, 151, 172]],\n",
       " \n",
       "        [[190, 201, 221],\n",
       "         [190, 201, 221],\n",
       "         [189, 200, 220],\n",
       "         ...,\n",
       "         [148, 153, 174],\n",
       "         [141, 146, 167],\n",
       "         [139, 144, 165]],\n",
       " \n",
       "        [[173, 182, 202],\n",
       "         [171, 180, 200],\n",
       "         [177, 186, 206],\n",
       "         ...,\n",
       "         [143, 148, 169],\n",
       "         [147, 152, 173],\n",
       "         [148, 153, 174]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 59,  89, 129],\n",
       "         [ 57,  87, 127],\n",
       "         [ 53,  83, 123],\n",
       "         ...,\n",
       "         [ 21,  39,  80],\n",
       "         [ 24,  45,  83],\n",
       "         [ 15,  36,  74]],\n",
       " \n",
       "        [[ 75, 106, 145],\n",
       "         [ 70, 101, 140],\n",
       "         [ 61,  92, 132],\n",
       "         ...,\n",
       "         [  2,  25,  63],\n",
       "         [  8,  28,  69],\n",
       "         [  4,  24,  65]],\n",
       " \n",
       "        [[ 68, 106, 141],\n",
       "         [ 68, 106, 141],\n",
       "         [ 69, 107, 142],\n",
       "         ...,\n",
       "         [ 33,  56,  94],\n",
       "         [ 35,  61,  98],\n",
       "         [ 27,  54,  91]]], dtype=uint8),\n",
       " array([[[ 27,  73, 101],\n",
       "         [ 35,  73, 105],\n",
       "         [ 32,  73, 105],\n",
       "         ...,\n",
       "         [ 46,  67,  82],\n",
       "         [ 42,  63,  78],\n",
       "         [ 40,  63,  78]],\n",
       " \n",
       "        [[ 28,  72, 101],\n",
       "         [ 33,  71, 103],\n",
       "         [ 29,  70, 102],\n",
       "         ...,\n",
       "         [ 43,  64,  79],\n",
       "         [ 40,  63,  78],\n",
       "         [ 40,  63,  78]],\n",
       " \n",
       "        [[ 29,  71, 100],\n",
       "         [ 31,  69, 101],\n",
       "         [ 27,  68, 100],\n",
       "         ...,\n",
       "         [ 43,  66,  81],\n",
       "         [ 40,  63,  78],\n",
       "         [ 39,  62,  77]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 54,  77, 103],\n",
       "         [ 59,  81, 109],\n",
       "         [ 55,  79, 107],\n",
       "         ...,\n",
       "         [ 49,  73, 103],\n",
       "         [ 40,  65,  95],\n",
       "         [ 49,  73, 103]],\n",
       " \n",
       "        [[ 45,  70,  96],\n",
       "         [ 49,  73,  99],\n",
       "         [ 50,  73,  99],\n",
       "         ...,\n",
       "         [ 48,  72, 102],\n",
       "         [ 54,  75, 106],\n",
       "         [ 50,  73, 105]],\n",
       " \n",
       "        [[ 48,  72,  96],\n",
       "         [ 55,  76, 104],\n",
       "         [ 49,  72,  98],\n",
       "         ...,\n",
       "         [ 50,  73, 106],\n",
       "         [ 45,  68, 100],\n",
       "         [ 40,  64,  94]]], dtype=uint8),\n",
       " array([[[  5,  99,  75],\n",
       "         [ 17,  99,  77],\n",
       "         [ 21, 100,  79],\n",
       "         ...,\n",
       "         [ 80, 119,  98],\n",
       "         [ 79, 114,  94],\n",
       "         [ 80, 110,  91]],\n",
       " \n",
       "        [[  9, 100,  77],\n",
       "         [ 16,  99,  77],\n",
       "         [ 19, 101,  79],\n",
       "         ...,\n",
       "         [ 80, 121, 100],\n",
       "         [ 81, 116,  96],\n",
       "         [ 81, 111,  92]],\n",
       " \n",
       "        [[ 11,  99,  76],\n",
       "         [ 16,  99,  77],\n",
       "         [ 31, 106,  85],\n",
       "         ...,\n",
       "         [ 81, 122, 101],\n",
       "         [ 82, 119,  99],\n",
       "         [ 81, 113,  94]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 76,  75,  71],\n",
       "         [ 76,  75,  71],\n",
       "         [ 72,  71,  67],\n",
       "         ...,\n",
       "         [ 65,  64,  53],\n",
       "         [ 58,  56,  45],\n",
       "         [ 55,  51,  40]],\n",
       " \n",
       "        [[ 76,  75,  71],\n",
       "         [ 77,  75,  71],\n",
       "         [ 74,  73,  69],\n",
       "         ...,\n",
       "         [105, 102,  96],\n",
       "         [ 59,  58,  46],\n",
       "         [ 56,  52,  41]],\n",
       " \n",
       "        [[ 75,  74,  70],\n",
       "         [ 74,  74,  69],\n",
       "         [ 75,  74,  70],\n",
       "         ...,\n",
       "         [175, 172, 170],\n",
       "         [ 61,  59,  46],\n",
       "         [ 57,  53,  42]]], dtype=uint8),\n",
       " array([[[100, 148, 179],\n",
       "         [105, 152, 181],\n",
       "         [110, 159, 189],\n",
       "         ...,\n",
       "         [211, 209, 208],\n",
       "         [210, 208, 207],\n",
       "         [210, 208, 207]],\n",
       " \n",
       "        [[108, 157, 187],\n",
       "         [111, 159, 188],\n",
       "         [112, 161, 189],\n",
       "         ...,\n",
       "         [211, 209, 208],\n",
       "         [209, 208, 207],\n",
       "         [209, 207, 206]],\n",
       " \n",
       "        [[ 99, 145, 176],\n",
       "         [ 98, 145, 177],\n",
       "         [102, 149, 181],\n",
       "         ...,\n",
       "         [210, 208, 207],\n",
       "         [209, 207, 206],\n",
       "         [209, 207, 206]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 62,  92, 123],\n",
       "         [ 64,  93, 124],\n",
       "         [ 65,  96, 129],\n",
       "         ...,\n",
       "         [222, 229, 232],\n",
       "         [221, 227, 230],\n",
       "         [219, 226, 229]],\n",
       " \n",
       "        [[ 64,  93, 124],\n",
       "         [ 66,  94, 128],\n",
       "         [ 64,  95, 127],\n",
       "         ...,\n",
       "         [222, 229, 233],\n",
       "         [219, 227, 229],\n",
       "         [217, 224, 227]],\n",
       " \n",
       "        [[ 63,  92, 123],\n",
       "         [ 67,  95, 128],\n",
       "         [ 65,  95, 128],\n",
       "         ...,\n",
       "         [226, 232, 235],\n",
       "         [218, 225, 229],\n",
       "         [219, 224, 229]]], dtype=uint8),\n",
       " array([[[ 90,  99, 112],\n",
       "         [ 90,  99, 113],\n",
       "         [ 93, 100, 117],\n",
       "         ...,\n",
       "         [ 69,  74,  82],\n",
       "         [ 79,  85,  92],\n",
       "         [ 89,  95, 102]],\n",
       " \n",
       "        [[ 94, 102, 115],\n",
       "         [ 94, 103, 117],\n",
       "         [ 97, 107, 123],\n",
       "         ...,\n",
       "         [ 72,  77,  84],\n",
       "         [ 83,  89,  96],\n",
       "         [ 99, 105, 112]],\n",
       " \n",
       "        [[ 96, 105, 118],\n",
       "         [ 99, 108, 122],\n",
       "         [ 98, 107, 123],\n",
       "         ...,\n",
       "         [ 77,  82,  89],\n",
       "         [ 90,  96, 103],\n",
       "         [100, 106, 113]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[100, 119, 140],\n",
       "         [114, 122, 136],\n",
       "         [ 54,  55,  65],\n",
       "         ...,\n",
       "         [184, 186, 196],\n",
       "         [183, 185, 195],\n",
       "         [185, 187, 197]],\n",
       " \n",
       "        [[101, 115, 135],\n",
       "         [ 13,  17,  26],\n",
       "         [117, 123, 132],\n",
       "         ...,\n",
       "         [189, 191, 201],\n",
       "         [184, 186, 196],\n",
       "         [181, 183, 193]],\n",
       " \n",
       "        [[106, 112, 127],\n",
       "         [ 68,  74,  80],\n",
       "         [114, 128, 136],\n",
       "         ...,\n",
       "         [188, 190, 200],\n",
       "         [191, 193, 203],\n",
       "         [182, 184, 194]]], dtype=uint8),\n",
       " array([[[136, 150, 168],\n",
       "         [133, 147, 165],\n",
       "         [133, 147, 165],\n",
       "         ...,\n",
       "         [107, 121, 139],\n",
       "         [107, 121, 139],\n",
       "         [106, 120, 138]],\n",
       " \n",
       "        [[133, 147, 165],\n",
       "         [133, 147, 165],\n",
       "         [133, 147, 165],\n",
       "         ...,\n",
       "         [107, 121, 139],\n",
       "         [107, 121, 139],\n",
       "         [105, 119, 137]],\n",
       " \n",
       "        [[133, 147, 165],\n",
       "         [134, 148, 166],\n",
       "         [133, 149, 166],\n",
       "         ...,\n",
       "         [107, 121, 139],\n",
       "         [107, 121, 139],\n",
       "         [106, 120, 138]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 20,  34,  53],\n",
       "         [ 21,  35,  54],\n",
       "         [ 20,  34,  53],\n",
       "         ...,\n",
       "         [ 82, 100, 117],\n",
       "         [ 81,  99, 117],\n",
       "         [ 81,  99, 116]],\n",
       " \n",
       "        [[ 19,  33,  52],\n",
       "         [ 21,  35,  54],\n",
       "         [ 22,  36,  55],\n",
       "         ...,\n",
       "         [ 86, 102, 118],\n",
       "         [ 85, 101, 117],\n",
       "         [ 83, 101, 118]],\n",
       " \n",
       "        [[ 19,  33,  52],\n",
       "         [ 19,  33,  52],\n",
       "         [ 22,  36,  55],\n",
       "         ...,\n",
       "         [ 87, 103, 119],\n",
       "         [ 86, 102, 118],\n",
       "         [ 86, 102, 118]]], dtype=uint8),\n",
       " array([[[ 73,  77,  72],\n",
       "         [ 59,  64,  62],\n",
       "         [ 58,  64,  63],\n",
       "         ...,\n",
       "         [ 64,  74,  74],\n",
       "         [ 64,  72,  71],\n",
       "         [ 71,  76,  75]],\n",
       " \n",
       "        [[ 77,  82,  77],\n",
       "         [ 60,  67,  64],\n",
       "         [ 57,  64,  63],\n",
       "         ...,\n",
       "         [ 68,  78,  78],\n",
       "         [ 65,  74,  73],\n",
       "         [ 74,  79,  78]],\n",
       " \n",
       "        [[ 75,  82,  77],\n",
       "         [ 75,  82,  79],\n",
       "         [ 55,  63,  62],\n",
       "         ...,\n",
       "         [ 62,  70,  69],\n",
       "         [ 65,  76,  74],\n",
       "         [ 67,  73,  72]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[106, 109, 113],\n",
       "         [ 96, 101, 106],\n",
       "         [104, 110, 115],\n",
       "         ...,\n",
       "         [172, 197, 207],\n",
       "         [168, 198, 209],\n",
       "         [174, 202, 214]],\n",
       " \n",
       "        [[106, 109, 113],\n",
       "         [119, 123, 128],\n",
       "         [106, 112, 118],\n",
       "         ...,\n",
       "         [152, 171, 179],\n",
       "         [145, 164, 172],\n",
       "         [144, 162, 172]],\n",
       " \n",
       "        [[114, 118, 119],\n",
       "         [112, 117, 120],\n",
       "         [108, 114, 120],\n",
       "         ...,\n",
       "         [133, 144, 150],\n",
       "         [132, 142, 149],\n",
       "         [126, 134, 141]]], dtype=uint8),\n",
       " array([[[222, 177, 126],\n",
       "         [221, 176, 125],\n",
       "         [222, 177, 126],\n",
       "         ...,\n",
       "         [218, 174, 120],\n",
       "         [217, 173, 119],\n",
       "         [216, 172, 118]],\n",
       " \n",
       "        [[222, 177, 126],\n",
       "         [221, 176, 125],\n",
       "         [223, 178, 127],\n",
       "         ...,\n",
       "         [217, 174, 121],\n",
       "         [217, 173, 120],\n",
       "         [216, 173, 119]],\n",
       " \n",
       "        [[222, 177, 126],\n",
       "         [221, 176, 125],\n",
       "         [224, 179, 128],\n",
       "         ...,\n",
       "         [217, 174, 123],\n",
       "         [216, 173, 122],\n",
       "         [216, 173, 122]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[125, 104,  66],\n",
       "         [127, 100,  63],\n",
       "         [132, 101,  62],\n",
       "         ...,\n",
       "         [138, 101,  63],\n",
       "         [146, 104,  66],\n",
       "         [151, 106,  68]],\n",
       " \n",
       "        [[123,  98,  61],\n",
       "         [126,  99,  62],\n",
       "         [134, 103,  64],\n",
       "         ...,\n",
       "         [154, 118,  82],\n",
       "         [152, 114,  76],\n",
       "         [152, 111,  70]],\n",
       " \n",
       "        [[130,  95,  59],\n",
       "         [127,  95,  59],\n",
       "         [126,  95,  56],\n",
       "         ...,\n",
       "         [123,  92,  56],\n",
       "         [131,  97,  59],\n",
       "         [138, 103,  60]]], dtype=uint8),\n",
       " array([[[34, 36, 37],\n",
       "         [33, 35, 36],\n",
       "         [34, 36, 37],\n",
       "         ...,\n",
       "         [36, 52, 81],\n",
       "         [37, 51, 80],\n",
       "         [36, 47, 77]],\n",
       " \n",
       "        [[33, 35, 36],\n",
       "         [34, 36, 37],\n",
       "         [34, 36, 37],\n",
       "         ...,\n",
       "         [38, 52, 81],\n",
       "         [36, 50, 79],\n",
       "         [36, 47, 77]],\n",
       " \n",
       "        [[32, 34, 35],\n",
       "         [34, 36, 37],\n",
       "         [34, 36, 37],\n",
       "         ...,\n",
       "         [37, 51, 80],\n",
       "         [36, 47, 77],\n",
       "         [37, 47, 77]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[55, 53, 45],\n",
       "         [54, 51, 46],\n",
       "         [97, 55, 38],\n",
       "         ...,\n",
       "         [37, 28, 40],\n",
       "         [35, 26, 39],\n",
       "         [34, 25, 38]],\n",
       " \n",
       "        [[54, 51, 48],\n",
       "         [52, 52, 48],\n",
       "         [78, 47, 33],\n",
       "         ...,\n",
       "         [33, 24, 37],\n",
       "         [35, 26, 39],\n",
       "         [34, 25, 38]],\n",
       " \n",
       "        [[54, 49, 49],\n",
       "         [51, 52, 50],\n",
       "         [69, 48, 38],\n",
       "         ...,\n",
       "         [33, 25, 37],\n",
       "         [32, 23, 36],\n",
       "         [31, 22, 35]]], dtype=uint8),\n",
       " array([[[233, 248, 244],\n",
       "         [221, 245, 237],\n",
       "         [212, 244, 234],\n",
       "         ...,\n",
       "         [144, 194, 156],\n",
       "         [217, 252, 237],\n",
       "         [214, 251, 248]],\n",
       " \n",
       "        [[231, 249, 240],\n",
       "         [218, 241, 228],\n",
       "         [206, 237, 220],\n",
       "         ...,\n",
       "         [157, 206, 171],\n",
       "         [221, 254, 242],\n",
       "         [212, 249, 247]],\n",
       " \n",
       "        [[230, 248, 236],\n",
       "         [215, 239, 223],\n",
       "         [198, 228, 207],\n",
       "         ...,\n",
       "         [179, 224, 195],\n",
       "         [222, 255, 248],\n",
       "         [207, 246, 244]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 91, 149,  91],\n",
       "         [102, 158,  99],\n",
       "         [ 80, 131,  73],\n",
       "         ...,\n",
       "         [117, 185, 133],\n",
       "         [112, 178, 126],\n",
       "         [118, 181, 131]],\n",
       " \n",
       "        [[ 64, 122,  64],\n",
       "         [ 77, 131,  72],\n",
       "         [ 65, 114,  56],\n",
       "         ...,\n",
       "         [122, 189, 138],\n",
       "         [109, 175, 123],\n",
       "         [108, 171, 121]],\n",
       " \n",
       "        [[ 43, 101,  43],\n",
       "         [ 49, 102,  43],\n",
       "         [ 52,  99,  41],\n",
       "         ...,\n",
       "         [120, 186, 137],\n",
       "         [111, 177, 125],\n",
       "         [108, 171, 121]]], dtype=uint8),\n",
       " array([[[128, 137, 140],\n",
       "         [125, 133, 135],\n",
       "         [122, 129, 132],\n",
       "         ...,\n",
       "         [170, 172, 172],\n",
       "         [170, 172, 172],\n",
       "         [165, 170, 170]],\n",
       " \n",
       "        [[129, 138, 141],\n",
       "         [128, 135, 138],\n",
       "         [125, 132, 135],\n",
       "         ...,\n",
       "         [173, 175, 175],\n",
       "         [172, 174, 174],\n",
       "         [170, 174, 175]],\n",
       " \n",
       "        [[131, 140, 143],\n",
       "         [131, 138, 141],\n",
       "         [128, 135, 138],\n",
       "         ...,\n",
       "         [175, 177, 177],\n",
       "         [174, 176, 176],\n",
       "         [171, 175, 176]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 32, 134, 240],\n",
       "         [ 32, 134, 240],\n",
       "         [ 32, 134, 240],\n",
       "         ...,\n",
       "         [ 32, 134, 240],\n",
       "         [ 32, 134, 240],\n",
       "         [ 32, 134, 240]],\n",
       " \n",
       "        [[ 32, 134, 240],\n",
       "         [ 32, 134, 240],\n",
       "         [ 32, 134, 240],\n",
       "         ...,\n",
       "         [ 32, 134, 240],\n",
       "         [ 32, 134, 240],\n",
       "         [ 32, 134, 240]],\n",
       " \n",
       "        [[ 32, 134, 240],\n",
       "         [ 32, 134, 240],\n",
       "         [ 32, 134, 240],\n",
       "         ...,\n",
       "         [ 32, 134, 240],\n",
       "         [ 32, 134, 240],\n",
       "         [ 32, 134, 240]]], dtype=uint8),\n",
       " array([[[ 76, 116, 174],\n",
       "         [ 76, 116, 174],\n",
       "         [ 77, 117, 175],\n",
       "         ...,\n",
       "         [247, 250, 254],\n",
       "         [247, 250, 254],\n",
       "         [248, 251, 255]],\n",
       " \n",
       "        [[ 76, 116, 174],\n",
       "         [ 76, 116, 174],\n",
       "         [ 77, 117, 175],\n",
       "         ...,\n",
       "         [247, 250, 254],\n",
       "         [247, 250, 254],\n",
       "         [248, 251, 255]],\n",
       " \n",
       "        [[ 77, 117, 175],\n",
       "         [ 77, 117, 175],\n",
       "         [ 78, 118, 176],\n",
       "         ...,\n",
       "         [247, 250, 254],\n",
       "         [247, 250, 254],\n",
       "         [246, 249, 253]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 54,  70,  87],\n",
       "         [ 57,  74,  93],\n",
       "         [ 69,  89, 110],\n",
       "         ...,\n",
       "         [ 11,  47, 116],\n",
       "         [  8,  43, 110],\n",
       "         [ 15,  53, 116]],\n",
       " \n",
       "        [[ 65,  83, 100],\n",
       "         [ 54,  74,  92],\n",
       "         [ 50,  71,  93],\n",
       "         ...,\n",
       "         [ 16,  54, 129],\n",
       "         [ 19,  56, 126],\n",
       "         [ 12,  52, 124]],\n",
       " \n",
       "        [[ 53,  75,  93],\n",
       "         [ 67,  84, 105],\n",
       "         [ 48,  67,  91],\n",
       "         ...,\n",
       "         [ 18,  59, 134],\n",
       "         [ 19,  57, 130],\n",
       "         [ 15,  55, 130]]], dtype=uint8),\n",
       " array([[[135, 124, 116],\n",
       "         [101,  99,  91],\n",
       "         [ 75,  81,  74],\n",
       "         ...,\n",
       "         [249, 199, 147],\n",
       "         [249, 199, 147],\n",
       "         [249, 199, 147]],\n",
       " \n",
       "        [[142, 130, 124],\n",
       "         [108, 105,  97],\n",
       "         [ 78,  83,  77],\n",
       "         ...,\n",
       "         [249, 199, 147],\n",
       "         [249, 199, 147],\n",
       "         [249, 199, 147]],\n",
       " \n",
       "        [[142, 134, 128],\n",
       "         [109, 107, 102],\n",
       "         [ 85,  90,  85],\n",
       "         ...,\n",
       "         [249, 199, 147],\n",
       "         [249, 199, 147],\n",
       "         [249, 199, 147]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[127, 151, 166],\n",
       "         [100, 123, 138],\n",
       "         [152, 173, 188],\n",
       "         ...,\n",
       "         [108, 130, 149],\n",
       "         [ 76,  96, 116],\n",
       "         [ 86, 103, 123]],\n",
       " \n",
       "        [[144, 162, 179],\n",
       "         [125, 143, 160],\n",
       "         [102, 120, 137],\n",
       "         ...,\n",
       "         [105, 128, 143],\n",
       "         [ 88, 111, 126],\n",
       "         [ 50,  67,  88]],\n",
       " \n",
       "        [[124, 145, 164],\n",
       "         [125, 149, 170],\n",
       "         [115, 141, 159],\n",
       "         ...,\n",
       "         [103, 130, 142],\n",
       "         [100, 130, 143],\n",
       "         [ 84, 114, 130]]], dtype=uint8),\n",
       " array([[[ 92, 101, 113],\n",
       "         [ 93, 102, 114],\n",
       "         [ 93, 102, 114],\n",
       "         ...,\n",
       "         [ 58,  46,  44],\n",
       "         [ 60,  60,  67],\n",
       "         [ 62,  63,  71]],\n",
       " \n",
       "        [[ 92, 101, 113],\n",
       "         [ 93, 102, 114],\n",
       "         [ 92, 102, 114],\n",
       "         ...,\n",
       "         [ 62,  64,  71],\n",
       "         [ 62,  64,  72],\n",
       "         [ 62,  64,  71]],\n",
       " \n",
       "        [[ 92, 101, 113],\n",
       "         [ 92, 102, 113],\n",
       "         [ 93, 102, 115],\n",
       "         ...,\n",
       "         [ 62,  65,  72],\n",
       "         [ 62,  64,  72],\n",
       "         [ 61,  64,  71]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 84,  80,  84],\n",
       "         [ 85,  81,  85],\n",
       "         [ 86,  81,  85],\n",
       "         ...,\n",
       "         [ 34,  21,  13],\n",
       "         [ 35,  20,  13],\n",
       "         [ 34,  20,  12]],\n",
       " \n",
       "        [[ 84,  79,  83],\n",
       "         [ 84,  79,  83],\n",
       "         [ 85,  80,  84],\n",
       "         ...,\n",
       "         [ 19,  12,   8],\n",
       "         [ 19,  13,   9],\n",
       "         [ 20,  13,   9]],\n",
       " \n",
       "        [[ 83,  79,  83],\n",
       "         [ 83,  78,  83],\n",
       "         [ 83,  79,  83],\n",
       "         ...,\n",
       "         [ 13,   8,   4],\n",
       "         [ 13,   8,   4],\n",
       "         [ 13,   7,   4]]], dtype=uint8),\n",
       " array([[[136, 146, 156],\n",
       "         [137, 147, 157],\n",
       "         [139, 150, 157],\n",
       "         ...,\n",
       "         [226, 223, 223],\n",
       "         [221, 221, 220],\n",
       "         [220, 220, 218]],\n",
       " \n",
       "        [[137, 147, 157],\n",
       "         [138, 148, 158],\n",
       "         [139, 150, 157],\n",
       "         ...,\n",
       "         [225, 223, 222],\n",
       "         [221, 222, 220],\n",
       "         [218, 219, 217]],\n",
       " \n",
       "        [[139, 149, 159],\n",
       "         [139, 149, 159],\n",
       "         [140, 151, 158],\n",
       "         ...,\n",
       "         [224, 222, 221],\n",
       "         [218, 220, 218],\n",
       "         [214, 215, 214]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 49,  50,  64],\n",
       "         [ 45,  48,  62],\n",
       "         [ 46,  52,  65],\n",
       "         ...,\n",
       "         [130, 151, 153],\n",
       "         [124, 144, 149],\n",
       "         [121, 142, 143]],\n",
       " \n",
       "        [[ 51,  53,  64],\n",
       "         [ 48,  50,  61],\n",
       "         [ 51,  55,  69],\n",
       "         ...,\n",
       "         [128, 149, 151],\n",
       "         [127, 147, 150],\n",
       "         [115, 138, 140]],\n",
       " \n",
       "        [[ 43,  45,  56],\n",
       "         [ 44,  46,  57],\n",
       "         [ 44,  47,  61],\n",
       "         ...,\n",
       "         [123, 144, 146],\n",
       "         [120, 141, 143],\n",
       "         [108, 131, 133]]], dtype=uint8),\n",
       " array([[[182, 188, 187],\n",
       "         [121, 127, 126],\n",
       "         [ 85,  91,  90],\n",
       "         ...,\n",
       "         [ 68,  78,  82],\n",
       "         [ 71,  80,  84],\n",
       "         [ 73,  82,  86]],\n",
       " \n",
       "        [[156, 162, 161],\n",
       "         [134, 140, 139],\n",
       "         [ 91,  96,  95],\n",
       "         ...,\n",
       "         [ 68,  78,  82],\n",
       "         [ 71,  80,  84],\n",
       "         [ 73,  82,  86]],\n",
       " \n",
       "        [[173, 179, 178],\n",
       "         [105, 111, 110],\n",
       "         [ 88,  93,  92],\n",
       "         ...,\n",
       "         [ 69,  78,  82],\n",
       "         [ 71,  80,  84],\n",
       "         [ 73,  82,  86]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[150, 158, 165],\n",
       "         [139, 147, 154],\n",
       "         [140, 148, 155],\n",
       "         ...,\n",
       "         [215, 211, 210],\n",
       "         [212, 208, 207],\n",
       "         [211, 207, 206]],\n",
       " \n",
       "        [[140, 147, 154],\n",
       "         [145, 151, 158],\n",
       "         [149, 156, 163],\n",
       "         ...,\n",
       "         [215, 211, 209],\n",
       "         [212, 208, 207],\n",
       "         [211, 207, 206]],\n",
       " \n",
       "        [[140, 146, 153],\n",
       "         [142, 148, 155],\n",
       "         [146, 153, 160],\n",
       "         ...,\n",
       "         [215, 211, 209],\n",
       "         [212, 208, 207],\n",
       "         [211, 207, 206]]], dtype=uint8),\n",
       " array([[[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        [[255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         ...,\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255],\n",
       "         [255, 255, 255]]], dtype=uint8),\n",
       " array([[[ 52,  30,   2],\n",
       "         [ 55,  31,   3],\n",
       "         [ 56,  29,   2],\n",
       "         ...,\n",
       "         [ 45,  25,   6],\n",
       "         [ 45,  25,   7],\n",
       "         [ 45,  25,   7]],\n",
       " \n",
       "        [[ 56,  32,   4],\n",
       "         [ 62,  36,   6],\n",
       "         [ 61,  33,   4],\n",
       "         ...,\n",
       "         [ 45,  25,   6],\n",
       "         [ 45,  25,   7],\n",
       "         [ 45,  25,   7]],\n",
       " \n",
       "        [[ 59,  33,   3],\n",
       "         [ 62,  34,   3],\n",
       "         [ 63,  35,   4],\n",
       "         ...,\n",
       "         [ 45,  26,   6],\n",
       "         [ 45,  25,   7],\n",
       "         [ 45,  25,   7]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 45, 190, 241],\n",
       "         [ 30, 175, 229],\n",
       "         [ 38, 184, 235],\n",
       "         ...,\n",
       "         [  0,   2,   3],\n",
       "         [  0,   2,   3],\n",
       "         [  0,   2,   3]],\n",
       " \n",
       "        [[ 42, 195, 246],\n",
       "         [ 35, 187, 240],\n",
       "         [ 37, 184, 235],\n",
       "         ...,\n",
       "         [  1,   1,   1],\n",
       "         [  1,   1,   1],\n",
       "         [  2,   2,   2]],\n",
       " \n",
       "        [[ 31, 183, 237],\n",
       "         [ 36, 188, 243],\n",
       "         [ 34, 178, 232],\n",
       "         ...,\n",
       "         [  1,   1,   1],\n",
       "         [  1,   1,   1],\n",
       "         [  1,   1,   1]]], dtype=uint8),\n",
       " array([[[  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         ...,\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        [[  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         ...,\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        [[  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         ...,\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         ...,\n",
       "         [117, 117, 117],\n",
       "         [182, 182, 182],\n",
       "         [  1,   1,   1]],\n",
       " \n",
       "        [[  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         ...,\n",
       "         [239, 239, 239],\n",
       "         [190, 190, 190],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        [[  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         ...,\n",
       "         [151, 151, 151],\n",
       "         [148, 148, 148],\n",
       "         [  1,   1,   1]]], dtype=uint8),\n",
       " array([[[ 91, 133, 110],\n",
       "         [ 93, 135, 110],\n",
       "         [ 90, 135, 107],\n",
       "         ...,\n",
       "         [ 94, 133, 111],\n",
       "         [ 89, 131, 108],\n",
       "         [ 92, 135, 112]],\n",
       " \n",
       "        [[ 86, 128, 103],\n",
       "         [ 93, 136, 109],\n",
       "         [ 86, 129, 102],\n",
       "         ...,\n",
       "         [ 90, 129, 106],\n",
       "         [ 95, 134, 112],\n",
       "         [ 87, 130, 107]],\n",
       " \n",
       "        [[ 87, 131, 103],\n",
       "         [ 92, 135, 108],\n",
       "         [ 91, 134, 107],\n",
       "         ...,\n",
       "         [ 90, 129, 105],\n",
       "         [ 95, 135, 110],\n",
       "         [ 91, 133, 108]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[  6,  26,  19],\n",
       "         [ 15,  31,  24],\n",
       "         [  8,  21,  14],\n",
       "         ...,\n",
       "         [ 11,  10,  11],\n",
       "         [ 13,  13,  13],\n",
       "         [  9,   9,   9]],\n",
       " \n",
       "        [[ 12,  36,  26],\n",
       "         [  7,  26,  17],\n",
       "         [  7,  21,  13],\n",
       "         ...,\n",
       "         [ 10,  10,  11],\n",
       "         [  9,   9,   9],\n",
       "         [  8,   8,   8]],\n",
       " \n",
       "        [[  7,  32,  22],\n",
       "         [  9,  28,  19],\n",
       "         [  5,  20,  11],\n",
       "         ...,\n",
       "         [  9,   9,  10],\n",
       "         [  6,   6,   6],\n",
       "         [ 11,  11,  11]]], dtype=uint8),\n",
       " array([[[ 21,  19,  15],\n",
       "         [ 35,  25,  20],\n",
       "         [137,  91,  91],\n",
       "         ...,\n",
       "         [ 11,  11,  11],\n",
       "         [ 10,  10,   9],\n",
       "         [  9,   9,   8]],\n",
       " \n",
       "        [[ 23,  18,  15],\n",
       "         [ 53,  30,  22],\n",
       "         [162, 107,  94],\n",
       "         ...,\n",
       "         [ 20,  21,  19],\n",
       "         [ 19,  20,  16],\n",
       "         [ 15,  17,  12]],\n",
       " \n",
       "        [[ 24,  22,  17],\n",
       "         [ 48,  29,  21],\n",
       "         [148,  80,  62],\n",
       "         ...,\n",
       "         [ 23,  27,  22],\n",
       "         [ 21,  25,  20],\n",
       "         [ 22,  26,  21]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 25,  28,  17],\n",
       "         [ 24,  25,  19],\n",
       "         [ 20,  18,  17],\n",
       "         ...,\n",
       "         [ 15,  21,  19],\n",
       "         [ 24,  21,  21],\n",
       "         [ 24,  24,  24]],\n",
       " \n",
       "        [[ 26,  28,  25],\n",
       "         [ 25,  26,  22],\n",
       "         [ 24,  22,  18],\n",
       "         ...,\n",
       "         [ 29,  29,  26],\n",
       "         [ 30,  26,  27],\n",
       "         [ 22,  21,  22]],\n",
       " \n",
       "        [[ 28,  30,  29],\n",
       "         [ 22,  23,  20],\n",
       "         [ 43,  40,  37],\n",
       "         ...,\n",
       "         [ 35,  32,  28],\n",
       "         [ 20,  19,  17],\n",
       "         [ 19,  25,  20]]], dtype=uint8),\n",
       " array([[[ 71,  57,  51],\n",
       "         [ 75,  61,  55],\n",
       "         [ 76,  62,  56],\n",
       "         ...,\n",
       "         [230, 243, 241],\n",
       "         [230, 243, 241],\n",
       "         [230, 243, 241]],\n",
       " \n",
       "        [[ 73,  59,  53],\n",
       "         [ 79,  65,  59],\n",
       "         [ 78,  64,  58],\n",
       "         ...,\n",
       "         [228, 241, 239],\n",
       "         [228, 241, 239],\n",
       "         [228, 241, 239]],\n",
       " \n",
       "        [[ 73,  59,  53],\n",
       "         [ 78,  64,  58],\n",
       "         [ 78,  64,  58],\n",
       "         ...,\n",
       "         [228, 241, 239],\n",
       "         [228, 241, 239],\n",
       "         [228, 241, 239]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 41,  68, 102],\n",
       "         [ 53,  80, 114],\n",
       "         [ 47,  74, 108],\n",
       "         ...,\n",
       "         [115, 159, 188],\n",
       "         [142, 186, 214],\n",
       "         [114, 158, 188]],\n",
       " \n",
       "        [[ 37,  64,  98],\n",
       "         [ 47,  74, 108],\n",
       "         [ 50,  77, 111],\n",
       "         ...,\n",
       "         [116, 160, 191],\n",
       "         [101, 145, 176],\n",
       "         [116, 163, 196]],\n",
       " \n",
       "        [[ 51,  71, 102],\n",
       "         [ 47,  66,  98],\n",
       "         [ 53,  73, 104],\n",
       "         ...,\n",
       "         [114, 161, 189],\n",
       "         [122, 168, 197],\n",
       "         [ 79, 130, 163]]], dtype=uint8),\n",
       " array([[[106, 104, 103],\n",
       "         [102, 100,  99],\n",
       "         [114, 112, 111],\n",
       "         ...,\n",
       "         [152, 153, 151],\n",
       "         [128, 129, 127],\n",
       "         [157, 157, 157]],\n",
       " \n",
       "        [[105, 103, 102],\n",
       "         [106, 104, 103],\n",
       "         [ 84,  82,  81],\n",
       "         ...,\n",
       "         [148, 149, 147],\n",
       "         [159, 160, 158],\n",
       "         [164, 164, 164]],\n",
       " \n",
       "        [[128, 126, 125],\n",
       "         [104, 102, 101],\n",
       "         [ 88,  86,  85],\n",
       "         ...,\n",
       "         [125, 126, 124],\n",
       "         [136, 137, 135],\n",
       "         [155, 155, 155]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[107, 107, 107],\n",
       "         [104, 104, 104],\n",
       "         [100, 100, 100],\n",
       "         ...,\n",
       "         [143, 143, 143],\n",
       "         [137, 137, 137],\n",
       "         [137, 136, 138]],\n",
       " \n",
       "        [[107, 107, 107],\n",
       "         [104, 104, 104],\n",
       "         [103, 103, 103],\n",
       "         ...,\n",
       "         [137, 137, 137],\n",
       "         [138, 138, 138],\n",
       "         [137, 136, 138]],\n",
       " \n",
       "        [[106, 106, 106],\n",
       "         [102, 102, 102],\n",
       "         [105, 105, 105],\n",
       "         ...,\n",
       "         [136, 136, 136],\n",
       "         [136, 136, 136],\n",
       "         [137, 135, 135]]], dtype=uint8),\n",
       " array([[[178, 177, 177],\n",
       "         [228, 227, 228],\n",
       "         [228, 228, 228],\n",
       "         ...,\n",
       "         [229, 228, 229],\n",
       "         [227, 226, 228],\n",
       "         [172, 176, 176]],\n",
       " \n",
       "        [[182, 182, 182],\n",
       "         [108, 107, 109],\n",
       "         [  5,   7,  15],\n",
       "         ...,\n",
       "         [  4,   5,   7],\n",
       "         [106, 106, 106],\n",
       "         [181, 183, 183]],\n",
       " \n",
       "        [[184, 184, 184],\n",
       "         [118, 117, 119],\n",
       "         [ 12,  17,  31],\n",
       "         ...,\n",
       "         [  9,  12,  20],\n",
       "         [118, 119, 117],\n",
       "         [183, 182, 184]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[185, 185, 185],\n",
       "         [152, 152, 152],\n",
       "         [102, 104, 104],\n",
       "         ...,\n",
       "         [ 91,  95,  96],\n",
       "         [147, 150, 151],\n",
       "         [186, 185, 185]],\n",
       " \n",
       "        [[184, 184, 184],\n",
       "         [156, 156, 156],\n",
       "         [ 88,  90,  90],\n",
       "         ...,\n",
       "         [ 52,  57,  56],\n",
       "         [128, 130, 130],\n",
       "         [183, 183, 183]],\n",
       " \n",
       "        [[176, 176, 176],\n",
       "         [229, 229, 229],\n",
       "         [229, 229, 229],\n",
       "         ...,\n",
       "         [227, 229, 229],\n",
       "         [227, 227, 227],\n",
       "         [175, 175, 175]]], dtype=uint8),\n",
       " array([[[140, 151, 159],\n",
       "         [141, 152, 160],\n",
       "         [141, 152, 160],\n",
       "         ...,\n",
       "         [117, 115, 104],\n",
       "         [117, 115, 104],\n",
       "         [115, 113, 102]],\n",
       " \n",
       "        [[141, 150, 159],\n",
       "         [142, 151, 160],\n",
       "         [141, 151, 160],\n",
       "         ...,\n",
       "         [115, 113, 102],\n",
       "         [115, 113, 102],\n",
       "         [115, 113, 102]],\n",
       " \n",
       "        [[143, 149, 158],\n",
       "         [144, 150, 159],\n",
       "         [142, 150, 159],\n",
       "         ...,\n",
       "         [113, 111, 100],\n",
       "         [113, 111, 100],\n",
       "         [114, 112, 101]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 90,  70,  65],\n",
       "         [ 90,  70,  65],\n",
       "         [ 91,  70,  64],\n",
       "         ...,\n",
       "         [165, 173, 186],\n",
       "         [166, 174, 187],\n",
       "         [163, 172, 185]],\n",
       " \n",
       "        [[ 91,  71,  66],\n",
       "         [ 92,  72,  67],\n",
       "         [ 89,  68,  62],\n",
       "         ...,\n",
       "         [168, 174, 187],\n",
       "         [167, 173, 186],\n",
       "         [166, 172, 185]],\n",
       " \n",
       "        [[ 89,  69,  64],\n",
       "         [ 88,  68,  63],\n",
       "         [ 87,  67,  60],\n",
       "         ...,\n",
       "         [166, 168, 182],\n",
       "         [166, 169, 183],\n",
       "         [180, 183, 197]]], dtype=uint8),\n",
       " array([[[ 15,  69,  40],\n",
       "         [  9,  64,  35],\n",
       "         [  5,  61,  32],\n",
       "         ...,\n",
       "         [ 11,  76,  43],\n",
       "         [ 10,  79,  46],\n",
       "         [  6,  77,  44]],\n",
       " \n",
       "        [[  5,  57,  33],\n",
       "         [  3,  58,  33],\n",
       "         [  5,  60,  34],\n",
       "         ...,\n",
       "         [ 10,  78,  44],\n",
       "         [ 11,  78,  46],\n",
       "         [  9,  76,  44]],\n",
       " \n",
       "        [[  6,  59,  33],\n",
       "         [  6,  59,  32],\n",
       "         [  4,  59,  32],\n",
       "         ...,\n",
       "         [ 10,  78,  46],\n",
       "         [ 11,  78,  47],\n",
       "         [ 11,  76,  44]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[  1, 182,  97],\n",
       "         [  4, 184, 101],\n",
       "         [  4, 183, 100],\n",
       "         ...,\n",
       "         [ 60, 137, 131],\n",
       "         [ 79, 161, 143],\n",
       "         [ 92, 176, 158]],\n",
       " \n",
       "        [[  7, 187,  99],\n",
       "         [  4, 184, 101],\n",
       "         [  6, 184, 104],\n",
       "         ...,\n",
       "         [ 82, 177, 149],\n",
       "         [ 73, 175, 140],\n",
       "         [ 77, 173, 143]],\n",
       " \n",
       "        [[  8, 185,  98],\n",
       "         [  6, 185, 100],\n",
       "         [  6, 184, 102],\n",
       "         ...,\n",
       "         [ 77, 176, 133],\n",
       "         [ 89, 176, 136],\n",
       "         [ 97, 171, 139]]], dtype=uint8),\n",
       " array([[[246, 246, 246],\n",
       "         [246, 246, 246],\n",
       "         [246, 246, 246],\n",
       "         ...,\n",
       "         [232, 231, 231],\n",
       "         [232, 231, 231],\n",
       "         [232, 231, 231]],\n",
       " \n",
       "        [[234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         ...,\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233]],\n",
       " \n",
       "        [[234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         ...,\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         ...,\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233]],\n",
       " \n",
       "        [[234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         ...,\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233]],\n",
       " \n",
       "        [[234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         [234, 233, 233],\n",
       "         ...,\n",
       "         [237, 236, 236],\n",
       "         [237, 236, 236],\n",
       "         [237, 236, 236]]], dtype=uint8),\n",
       " array([[[240, 241, 235],\n",
       "         [242, 239, 235],\n",
       "         [246, 240, 238],\n",
       "         ...,\n",
       "         [229, 226, 218],\n",
       "         [229, 226, 218],\n",
       "         [230, 227, 219]],\n",
       " \n",
       "        [[243, 240, 235],\n",
       "         [242, 239, 235],\n",
       "         [245, 241, 238],\n",
       "         ...,\n",
       "         [229, 226, 218],\n",
       "         [229, 226, 218],\n",
       "         [229, 226, 218]],\n",
       " \n",
       "        [[246, 240, 235],\n",
       "         [243, 238, 235],\n",
       "         [241, 240, 237],\n",
       "         ...,\n",
       "         [230, 227, 219],\n",
       "         [229, 226, 218],\n",
       "         [228, 225, 217]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[242, 236, 229],\n",
       "         [244, 238, 231],\n",
       "         [244, 238, 231],\n",
       "         ...,\n",
       "         [214, 210, 202],\n",
       "         [212, 207, 202],\n",
       "         [214, 208, 206]],\n",
       " \n",
       "        [[243, 236, 230],\n",
       "         [242, 236, 229],\n",
       "         [245, 239, 232],\n",
       "         ...,\n",
       "         [173, 170, 164],\n",
       "         [178, 176, 171],\n",
       "         [173, 171, 167]],\n",
       " \n",
       "        [[242, 236, 229],\n",
       "         [244, 238, 231],\n",
       "         [244, 238, 231],\n",
       "         ...,\n",
       "         [214, 205, 195],\n",
       "         [205, 199, 186],\n",
       "         [200, 194, 181]]], dtype=uint8),\n",
       " array([[[249, 254, 250],\n",
       "         [248, 253, 253],\n",
       "         [255, 255, 251],\n",
       "         ...,\n",
       "         [250, 251, 254],\n",
       "         [255, 253, 253],\n",
       "         [254, 254, 254]],\n",
       " \n",
       "        [[250, 253, 249],\n",
       "         [244, 249, 248],\n",
       "         [254, 255, 253],\n",
       "         ...,\n",
       "         [250, 254, 255],\n",
       "         [254, 252, 252],\n",
       "         [254, 254, 254]],\n",
       " \n",
       "        [[253, 254, 252],\n",
       "         [211, 219, 224],\n",
       "         [204, 218, 231],\n",
       "         ...,\n",
       "         [196, 214, 230],\n",
       "         [249, 252, 254],\n",
       "         [255, 255, 255]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[248, 252, 251],\n",
       "         [243, 248, 249],\n",
       "         [244, 251, 253],\n",
       "         ...,\n",
       "         [241, 249, 253],\n",
       "         [246, 249, 248],\n",
       "         [255, 255, 254]],\n",
       " \n",
       "        [[248, 250, 250],\n",
       "         [251, 253, 253],\n",
       "         [251, 254, 254],\n",
       "         ...,\n",
       "         [248, 252, 253],\n",
       "         [249, 251, 251],\n",
       "         [255, 255, 254]],\n",
       " \n",
       "        [[253, 253, 253],\n",
       "         [255, 255, 255],\n",
       "         [253, 253, 253],\n",
       "         ...,\n",
       "         [251, 253, 253],\n",
       "         [253, 253, 253],\n",
       "         [255, 255, 254]]], dtype=uint8),\n",
       " array([[[110, 118, 128],\n",
       "         [106, 114, 128],\n",
       "         [ 99, 110, 123],\n",
       "         ...,\n",
       "         [120, 131, 158],\n",
       "         [120, 131, 158],\n",
       "         [124, 133, 160]],\n",
       " \n",
       "        [[105, 114, 127],\n",
       "         [100, 112, 124],\n",
       "         [ 94, 108, 120],\n",
       "         ...,\n",
       "         [117, 128, 155],\n",
       "         [118, 129, 156],\n",
       "         [125, 134, 161]],\n",
       " \n",
       "        [[101, 114, 126],\n",
       "         [ 96, 110, 122],\n",
       "         [ 89, 105, 117],\n",
       "         ...,\n",
       "         [118, 129, 157],\n",
       "         [120, 131, 158],\n",
       "         [125, 134, 161]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 36,  31,  33],\n",
       "         [ 57,  53,  58],\n",
       "         [ 50,  50,  60],\n",
       "         ...,\n",
       "         [ 13,  34,  90],\n",
       "         [ 16,  38,  96],\n",
       "         [ 20,  43, 105]],\n",
       " \n",
       "        [[ 27,  26,  28],\n",
       "         [ 36,  34,  38],\n",
       "         [ 45,  48,  54],\n",
       "         ...,\n",
       "         [ 20,  44,  97],\n",
       "         [ 22,  46, 103],\n",
       "         [ 24,  49, 109]],\n",
       " \n",
       "        [[ 22,  24,  25],\n",
       "         [ 29,  31,  32],\n",
       "         [ 58,  61,  65],\n",
       "         ...,\n",
       "         [ 21,  47, 100],\n",
       "         [ 23,  48, 105],\n",
       "         [ 22,  48, 107]]], dtype=uint8),\n",
       " array([[[132, 146, 168],\n",
       "         [125, 139, 161],\n",
       "         [129, 143, 165],\n",
       "         ...,\n",
       "         [191, 186, 185],\n",
       "         [191, 186, 185],\n",
       "         [192, 187, 186]],\n",
       " \n",
       "        [[136, 150, 172],\n",
       "         [134, 148, 170],\n",
       "         [133, 147, 169],\n",
       "         ...,\n",
       "         [189, 184, 183],\n",
       "         [188, 183, 182],\n",
       "         [186, 182, 181]],\n",
       " \n",
       "        [[132, 146, 167],\n",
       "         [149, 163, 185],\n",
       "         [147, 161, 183],\n",
       "         ...,\n",
       "         [185, 180, 179],\n",
       "         [184, 179, 179],\n",
       "         [181, 176, 175]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[144, 157, 170],\n",
       "         [142, 155, 169],\n",
       "         [140, 153, 167],\n",
       "         ...,\n",
       "         [192, 136,  87],\n",
       "         [190, 134,  85],\n",
       "         [184, 128,  79]],\n",
       " \n",
       "        [[141, 154, 168],\n",
       "         [140, 153, 167],\n",
       "         [139, 152, 166],\n",
       "         ...,\n",
       "         [190, 137,  86],\n",
       "         [190, 137,  86],\n",
       "         [187, 134,  83]],\n",
       " \n",
       "        [[141, 154, 168],\n",
       "         [140, 153, 167],\n",
       "         [137, 151, 165],\n",
       "         ...,\n",
       "         [188, 135,  84],\n",
       "         [195, 142,  91],\n",
       "         [189, 136,  85]]], dtype=uint8),\n",
       " array([[[138, 101,  45],\n",
       "         [143, 101,  47],\n",
       "         [143, 101,  48],\n",
       "         ...,\n",
       "         [148, 109,  54],\n",
       "         [149, 108,  55],\n",
       "         [148, 106,  53]],\n",
       " \n",
       "        [[144, 101,  47],\n",
       "         [146, 101,  48],\n",
       "         [144, 102,  49],\n",
       "         ...,\n",
       "         [149, 110,  55],\n",
       "         [150, 108,  55],\n",
       "         [149, 107,  54]],\n",
       " \n",
       "        [[145, 101,  48],\n",
       "         [146, 102,  49],\n",
       "         [143, 102,  50],\n",
       "         ...,\n",
       "         [151, 111,  59],\n",
       "         [151, 109,  58],\n",
       "         [152, 110,  56]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[101, 103,  93],\n",
       "         [102, 105,  91],\n",
       "         [100, 103,  91],\n",
       "         ...,\n",
       "         [ 99, 108,  95],\n",
       "         [100, 107,  91],\n",
       "         [ 95, 104,  90]],\n",
       " \n",
       "        [[ 95,  95,  81],\n",
       "         [ 96,  98,  79],\n",
       "         [ 99, 100,  84],\n",
       "         ...,\n",
       "         [ 97, 105,  94],\n",
       "         [ 99, 107,  94],\n",
       "         [ 93, 102,  89]],\n",
       " \n",
       "        [[ 90,  90,  74],\n",
       "         [ 90,  91,  71],\n",
       "         [ 92,  93,  77],\n",
       "         ...,\n",
       "         [ 98, 105,  97],\n",
       "         [ 95, 104,  92],\n",
       "         [ 94, 102,  90]]], dtype=uint8),\n",
       " array([[[131, 100,  93],\n",
       "         [160, 130, 119],\n",
       "         [191, 164, 151],\n",
       "         ...,\n",
       "         [189, 189, 189],\n",
       "         [187, 187, 187],\n",
       "         [186, 186, 186]],\n",
       " \n",
       "        [[175, 149, 135],\n",
       "         [139, 114,  98],\n",
       "         [120,  92,  74],\n",
       "         ...,\n",
       "         [189, 189, 189],\n",
       "         [187, 187, 187],\n",
       "         [186, 186, 186]],\n",
       " \n",
       "        [[223, 203, 185],\n",
       "         [223, 203, 185],\n",
       "         [217, 197, 180],\n",
       "         ...,\n",
       "         [190, 190, 190],\n",
       "         [187, 187, 187],\n",
       "         [186, 186, 186]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[186, 170, 163],\n",
       "         [186, 170, 163],\n",
       "         [186, 170, 163],\n",
       "         ...,\n",
       "         [ 68,  61,  38],\n",
       "         [ 46,  39,  24],\n",
       "         [ 36,  33,  25]],\n",
       " \n",
       "        [[184, 168, 161],\n",
       "         [185, 169, 162],\n",
       "         [186, 170, 163],\n",
       "         ...,\n",
       "         [ 65,  58,  35],\n",
       "         [ 45,  38,  23],\n",
       "         [ 36,  33,  25]],\n",
       " \n",
       "        [[183, 167, 160],\n",
       "         [185, 169, 162],\n",
       "         [186, 170, 163],\n",
       "         ...,\n",
       "         [ 64,  58,  34],\n",
       "         [ 45,  38,  23],\n",
       "         [ 36,  33,  25]]], dtype=uint8),\n",
       " array([[[ 23,  83, 119],\n",
       "         [ 31,  93, 129],\n",
       "         [ 40, 102, 138],\n",
       "         ...,\n",
       "         [155, 170, 186],\n",
       "         [155, 171, 184],\n",
       "         [155, 171, 184]],\n",
       " \n",
       "        [[ 37,  90, 127],\n",
       "         [ 24,  83, 119],\n",
       "         [ 34,  98, 133],\n",
       "         ...,\n",
       "         [156, 172, 188],\n",
       "         [157, 173, 186],\n",
       "         [156, 172, 185]],\n",
       " \n",
       "        [[ 46,  95, 133],\n",
       "         [ 40,  97, 133],\n",
       "         [ 27,  91, 126],\n",
       "         ...,\n",
       "         [157, 172, 188],\n",
       "         [157, 173, 186],\n",
       "         [157, 173, 186]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 59,  81,  92],\n",
       "         [ 61,  83,  94],\n",
       "         [ 60,  82,  93],\n",
       "         ...,\n",
       "         [ 56,  66,  83],\n",
       "         [ 57,  67,  85],\n",
       "         [ 59,  69,  87]],\n",
       " \n",
       "        [[ 59,  81,  92],\n",
       "         [ 60,  82,  93],\n",
       "         [ 52,  74,  85],\n",
       "         ...,\n",
       "         [ 61,  71,  88],\n",
       "         [ 60,  67,  86],\n",
       "         [ 60,  67,  86]],\n",
       " \n",
       "        [[ 59,  82,  92],\n",
       "         [ 59,  79,  90],\n",
       "         [ 34,  54,  65],\n",
       "         ...,\n",
       "         [ 60,  70,  88],\n",
       "         [ 60,  69,  88],\n",
       "         [ 59,  69,  87]]], dtype=uint8),\n",
       " array([[[ 44,  52,  97],\n",
       "         [ 44,  53,  98],\n",
       "         [ 49,  57, 102],\n",
       "         ...,\n",
       "         [ 58,  67, 119],\n",
       "         [ 62,  69, 118],\n",
       "         [ 61,  67, 114]],\n",
       " \n",
       "        [[ 43,  51,  98],\n",
       "         [ 48,  56, 103],\n",
       "         [ 47,  55, 102],\n",
       "         ...,\n",
       "         [ 57,  72, 121],\n",
       "         [ 57,  70, 122],\n",
       "         [ 60,  69, 123]],\n",
       " \n",
       "        [[ 44,  51, 100],\n",
       "         [ 48,  55, 104],\n",
       "         [ 47,  54, 103],\n",
       "         ...,\n",
       "         [ 53,  69, 119],\n",
       "         [ 55,  69, 122],\n",
       "         [ 56,  67, 125]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 60,  77, 133],\n",
       "         [ 61,  78, 135],\n",
       "         [ 64,  81, 137],\n",
       "         ...,\n",
       "         [ 88,  96, 155],\n",
       "         [ 85, 101, 154],\n",
       "         [ 90, 100, 148]],\n",
       " \n",
       "        [[ 62,  79, 135],\n",
       "         [ 66,  80, 133],\n",
       "         [ 64,  80, 138],\n",
       "         ...,\n",
       "         [ 90, 100, 157],\n",
       "         [ 87,  99, 153],\n",
       "         [ 84,  97, 149]],\n",
       " \n",
       "        [[ 60,  77, 133],\n",
       "         [ 63,  77, 130],\n",
       "         [ 59,  75, 134],\n",
       "         ...,\n",
       "         [ 85,  95, 153],\n",
       "         [ 86,  98, 152],\n",
       "         [ 85,  98, 150]]], dtype=uint8),\n",
       " array([[[108, 113, 116],\n",
       "         [110, 114, 118],\n",
       "         [113, 116, 124],\n",
       "         ...,\n",
       "         [142, 170, 181],\n",
       "         [140, 167, 179],\n",
       "         [133, 160, 174]],\n",
       " \n",
       "        [[110, 115, 117],\n",
       "         [112, 116, 120],\n",
       "         [112, 115, 123],\n",
       "         ...,\n",
       "         [140, 167, 181],\n",
       "         [137, 164, 178],\n",
       "         [133, 159, 175]],\n",
       " \n",
       "        [[110, 115, 118],\n",
       "         [112, 117, 120],\n",
       "         [110, 113, 121],\n",
       "         ...,\n",
       "         [138, 164, 180],\n",
       "         [134, 160, 176],\n",
       "         [134, 160, 177]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[214, 209, 206],\n",
       "         [210, 205, 202],\n",
       "         [214, 209, 206],\n",
       "         ...,\n",
       "         [ 42,  53,  67],\n",
       "         [ 44,  53,  66],\n",
       "         [ 38,  49,  63]],\n",
       " \n",
       "        [[212, 207, 204],\n",
       "         [213, 208, 205],\n",
       "         [215, 210, 207],\n",
       "         ...,\n",
       "         [ 44,  57,  73],\n",
       "         [ 47,  58,  72],\n",
       "         [ 40,  52,  66]],\n",
       " \n",
       "        [[211, 206, 203],\n",
       "         [215, 210, 207],\n",
       "         [211, 206, 203],\n",
       "         ...,\n",
       "         [ 43,  57,  75],\n",
       "         [ 43,  56,  72],\n",
       "         [ 43,  56,  71]]], dtype=uint8),\n",
       " array([[[247, 252, 251],\n",
       "         [255, 255, 248],\n",
       "         [255, 255, 251],\n",
       "         ...,\n",
       "         [254, 254, 248],\n",
       "         [255, 255, 242],\n",
       "         [247, 252, 248]],\n",
       " \n",
       "        [[254, 254, 250],\n",
       "         [165, 160, 144],\n",
       "         [187, 183, 164],\n",
       "         ...,\n",
       "         [161, 153, 109],\n",
       "         [148, 139,  99],\n",
       "         [255, 254, 247]],\n",
       " \n",
       "        [[252, 252, 249],\n",
       "         [184, 184, 163],\n",
       "         [200, 199, 175],\n",
       "         ...,\n",
       "         [190, 174, 129],\n",
       "         [174, 159, 119],\n",
       "         [253, 250, 248]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[252, 252, 247],\n",
       "         [177, 173, 146],\n",
       "         [193, 187, 161],\n",
       "         ...,\n",
       "         [216, 217, 209],\n",
       "         [215, 215, 203],\n",
       "         [251, 251, 247]],\n",
       " \n",
       "        [[254, 254, 250],\n",
       "         [195, 187, 179],\n",
       "         [178, 167, 162],\n",
       "         ...,\n",
       "         [175, 166, 163],\n",
       "         [193, 186, 179],\n",
       "         [254, 254, 252]],\n",
       " \n",
       "        [[248, 254, 250],\n",
       "         [255, 255, 253],\n",
       "         [255, 255, 249],\n",
       "         ...,\n",
       "         [255, 254, 255],\n",
       "         [252, 254, 250],\n",
       "         [245, 252, 252]]], dtype=uint8),\n",
       " array([[[175, 180, 183],\n",
       "         [177, 182, 185],\n",
       "         [177, 182, 185],\n",
       "         ...,\n",
       "         [181, 196, 198],\n",
       "         [181, 196, 198],\n",
       "         [179, 194, 196]],\n",
       " \n",
       "        [[175, 180, 183],\n",
       "         [177, 182, 185],\n",
       "         [177, 182, 185],\n",
       "         ...,\n",
       "         [181, 196, 198],\n",
       "         [181, 196, 198],\n",
       "         [181, 196, 198]],\n",
       " \n",
       "        [[175, 180, 183],\n",
       "         [177, 182, 185],\n",
       "         [177, 182, 185],\n",
       "         ...,\n",
       "         [173, 188, 190],\n",
       "         [173, 188, 190],\n",
       "         [175, 190, 192]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[128, 156, 187],\n",
       "         [128, 156, 187],\n",
       "         [128, 156, 187],\n",
       "         ...,\n",
       "         [ 77,  99, 127],\n",
       "         [102, 124, 152],\n",
       "         [ 92, 115, 144]],\n",
       " \n",
       "        [[133, 161, 192],\n",
       "         [134, 163, 194],\n",
       "         [128, 158, 189],\n",
       "         ...,\n",
       "         [106, 127, 155],\n",
       "         [103, 125, 153],\n",
       "         [108, 131, 159]],\n",
       " \n",
       "        [[122, 149, 183],\n",
       "         [127, 154, 188],\n",
       "         [129, 156, 190],\n",
       "         ...,\n",
       "         [ 78, 106, 140],\n",
       "         [ 80, 107, 142],\n",
       "         [ 91, 120, 151]]], dtype=uint8),\n",
       " array([[[171, 171, 171],\n",
       "         [165, 165, 165],\n",
       "         [155, 155, 155],\n",
       "         ...,\n",
       "         [142, 142, 142],\n",
       "         [163, 163, 163],\n",
       "         [161, 161, 161]],\n",
       " \n",
       "        [[174, 174, 174],\n",
       "         [168, 168, 168],\n",
       "         [160, 160, 160],\n",
       "         ...,\n",
       "         [128, 128, 128],\n",
       "         [163, 163, 163],\n",
       "         [173, 173, 173]],\n",
       " \n",
       "        [[174, 174, 174],\n",
       "         [171, 171, 171],\n",
       "         [158, 158, 158],\n",
       "         ...,\n",
       "         [156, 156, 156],\n",
       "         [164, 164, 164],\n",
       "         [191, 192, 192]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[176, 176, 176],\n",
       "         [177, 177, 177],\n",
       "         [175, 175, 175],\n",
       "         ...,\n",
       "         [136, 136, 136],\n",
       "         [116, 116, 116],\n",
       "         [104, 104, 104]],\n",
       " \n",
       "        [[177, 177, 177],\n",
       "         [160, 160, 160],\n",
       "         [179, 179, 179],\n",
       "         ...,\n",
       "         [138, 138, 138],\n",
       "         [138, 138, 138],\n",
       "         [103, 103, 103]],\n",
       " \n",
       "        [[176, 176, 176],\n",
       "         [174, 174, 174],\n",
       "         [180, 180, 180],\n",
       "         ...,\n",
       "         [142, 142, 142],\n",
       "         [141, 141, 141],\n",
       "         [109, 109, 109]]], dtype=uint8),\n",
       " array([[[ 93, 121, 157],\n",
       "         [147, 170, 186],\n",
       "         [203, 218, 216],\n",
       "         ...,\n",
       "         [188, 186, 199],\n",
       "         [194, 200, 203],\n",
       "         [199, 202, 205]],\n",
       " \n",
       "        [[ 93, 125, 159],\n",
       "         [149, 170, 185],\n",
       "         [198, 213, 211],\n",
       "         ...,\n",
       "         [183, 183, 191],\n",
       "         [178, 181, 190],\n",
       "         [200, 200, 207]],\n",
       " \n",
       "        [[ 95, 126, 159],\n",
       "         [146, 170, 186],\n",
       "         [198, 213, 211],\n",
       "         ...,\n",
       "         [193, 194, 199],\n",
       "         [196, 196, 207],\n",
       "         [199, 205, 207]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 65,  94, 143],\n",
       "         [ 67,  99, 144],\n",
       "         [ 72,  98, 142],\n",
       "         ...,\n",
       "         [134, 183, 230],\n",
       "         [130, 179, 227],\n",
       "         [134, 176, 223]],\n",
       " \n",
       "        [[ 74, 118, 165],\n",
       "         [ 72, 115, 163],\n",
       "         [ 82, 107, 152],\n",
       "         ...,\n",
       "         [131, 179, 230],\n",
       "         [131, 180, 227],\n",
       "         [135, 176, 223]],\n",
       " \n",
       "        [[ 80, 127, 177],\n",
       "         [ 77, 128, 175],\n",
       "         [ 91, 122, 159],\n",
       "         ...,\n",
       "         [129, 183, 229],\n",
       "         [130, 175, 226],\n",
       "         [128, 177, 225]]], dtype=uint8),\n",
       " array([[[ 9,  3,  2],\n",
       "         [10,  3,  4],\n",
       "         [ 4,  0,  0],\n",
       "         ...,\n",
       "         [ 8,  5,  5],\n",
       "         [12,  4, 12],\n",
       "         [ 5,  6,  9]],\n",
       " \n",
       "        [[13,  4,  6],\n",
       "         [13,  1,  3],\n",
       "         [15,  1,  4],\n",
       "         ...,\n",
       "         [14,  6, 11],\n",
       "         [ 4, 10, 20],\n",
       "         [ 3,  5, 11]],\n",
       " \n",
       "        [[ 2,  3,  6],\n",
       "         [ 3,  1,  0],\n",
       "         [ 9,  1,  4],\n",
       "         ...,\n",
       "         [14,  5, 14],\n",
       "         [ 1, 10, 20],\n",
       "         [ 3,  8, 13]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[14,  5, 13],\n",
       "         [15,  1, 28],\n",
       "         [17,  4, 26],\n",
       "         ...,\n",
       "         [ 1, 13, 30],\n",
       "         [ 3, 12, 30],\n",
       "         [ 3, 12, 22]],\n",
       " \n",
       "        [[12,  3, 12],\n",
       "         [16,  2, 23],\n",
       "         [12,  1, 18],\n",
       "         ...,\n",
       "         [ 8, 14, 33],\n",
       "         [ 4,  9, 25],\n",
       "         [ 9, 14, 24]],\n",
       " \n",
       "        [[10,  2, 14],\n",
       "         [16,  5,  9],\n",
       "         [10,  1, 15],\n",
       "         ...,\n",
       "         [15,  9, 29],\n",
       "         [10,  8, 23],\n",
       "         [10, 10, 25]]], dtype=uint8),\n",
       " array([[[196, 199, 204],\n",
       "         [196, 199, 204],\n",
       "         [196, 199, 204],\n",
       "         ...,\n",
       "         [215, 205, 198],\n",
       "         [214, 205, 196],\n",
       "         [213, 204, 195]],\n",
       " \n",
       "        [[189, 192, 198],\n",
       "         [189, 192, 198],\n",
       "         [190, 193, 198],\n",
       "         ...,\n",
       "         [209, 199, 193],\n",
       "         [208, 198, 191],\n",
       "         [207, 197, 190]],\n",
       " \n",
       "        [[185, 188, 193],\n",
       "         [185, 188, 193],\n",
       "         [185, 188, 193],\n",
       "         ...,\n",
       "         [204, 193, 190],\n",
       "         [204, 192, 190],\n",
       "         [202, 191, 188]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[  7,   1,   7],\n",
       "         [  4,   1,  11],\n",
       "         [  5,   4,  13],\n",
       "         ...,\n",
       "         [  3,  77, 147],\n",
       "         [  0,  70, 137],\n",
       "         [  0,  70, 130]],\n",
       " \n",
       "        [[ 14,  11,  23],\n",
       "         [ 11,  12,  30],\n",
       "         [  6,   9,  31],\n",
       "         ...,\n",
       "         [ 20,  92, 158],\n",
       "         [ 26,  97, 160],\n",
       "         [ 24,  93, 152]],\n",
       " \n",
       "        [[ 28,  37,  51],\n",
       "         [ 23,  29,  50],\n",
       "         [ 16,  22,  45],\n",
       "         ...,\n",
       "         [ 42, 112, 171],\n",
       "         [ 39, 109, 168],\n",
       "         [ 42, 112, 171]]], dtype=uint8),\n",
       " array([[[ 72,  89, 108],\n",
       "         [ 62,  79,  98],\n",
       "         [ 62,  79,  97],\n",
       "         ...,\n",
       "         [ 86, 107, 138],\n",
       "         [ 86, 108, 137],\n",
       "         [ 86, 108, 136]],\n",
       " \n",
       "        [[ 65,  82, 101],\n",
       "         [ 61,  78,  97],\n",
       "         [ 61,  78,  96],\n",
       "         ...,\n",
       "         [ 85, 106, 137],\n",
       "         [ 85, 106, 137],\n",
       "         [ 85, 106, 137]],\n",
       " \n",
       "        [[ 66,  83, 102],\n",
       "         [ 58,  78,  96],\n",
       "         [ 59,  79,  97],\n",
       "         ...,\n",
       "         [ 83, 104, 135],\n",
       "         [ 84, 105, 136],\n",
       "         [ 84, 104, 139]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[128, 146, 163],\n",
       "         [128, 144, 161],\n",
       "         [131, 146, 162],\n",
       "         ...,\n",
       "         [ 93, 125, 160],\n",
       "         [ 93, 125, 160],\n",
       "         [ 93, 125, 160]],\n",
       " \n",
       "        [[121, 144, 160],\n",
       "         [123, 145, 160],\n",
       "         [124, 143, 158],\n",
       "         ...,\n",
       "         [ 92, 124, 159],\n",
       "         [ 93, 125, 160],\n",
       "         [ 97, 129, 164]],\n",
       " \n",
       "        [[117, 143, 159],\n",
       "         [116, 143, 157],\n",
       "         [116, 141, 154],\n",
       "         ...,\n",
       "         [ 92, 124, 159],\n",
       "         [ 93, 125, 160],\n",
       "         [ 98, 130, 165]]], dtype=uint8),\n",
       " array([[[210, 211, 214],\n",
       "         [209, 210, 213],\n",
       "         [207, 208, 211],\n",
       "         ...,\n",
       "         [ 66,  62,  60],\n",
       "         [ 66,  62,  60],\n",
       "         [ 66,  62,  59]],\n",
       " \n",
       "        [[210, 211, 214],\n",
       "         [209, 210, 213],\n",
       "         [207, 208, 212],\n",
       "         ...,\n",
       "         [ 67,  63,  61],\n",
       "         [ 67,  62,  60],\n",
       "         [ 66,  62,  60]],\n",
       " \n",
       "        [[210, 211, 214],\n",
       "         [209, 210, 213],\n",
       "         [207, 208, 212],\n",
       "         ...,\n",
       "         [ 68,  63,  61],\n",
       "         [ 67,  63,  61],\n",
       "         [ 66,  62,  60]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[229, 228, 229],\n",
       "         [229, 228, 230],\n",
       "         [230, 229, 231],\n",
       "         ...,\n",
       "         [ 99, 116, 147],\n",
       "         [ 96, 113, 144],\n",
       "         [ 97, 116, 147]],\n",
       " \n",
       "        [[229, 228, 230],\n",
       "         [229, 229, 230],\n",
       "         [229, 228, 230],\n",
       "         ...,\n",
       "         [101, 119, 152],\n",
       "         [ 97, 113, 146],\n",
       "         [ 93, 110, 140]],\n",
       " \n",
       "        [[230, 229, 230],\n",
       "         [229, 228, 230],\n",
       "         [229, 228, 230],\n",
       "         ...,\n",
       "         [102, 121, 154],\n",
       "         [104, 121, 154],\n",
       "         [ 98, 116, 148]]], dtype=uint8),\n",
       " array([[[183, 181, 170],\n",
       "         [184, 182, 171],\n",
       "         [185, 183, 172],\n",
       "         ...,\n",
       "         [164, 162, 152],\n",
       "         [164, 162, 152],\n",
       "         [165, 163, 153]],\n",
       " \n",
       "        [[186, 184, 173],\n",
       "         [187, 185, 174],\n",
       "         [187, 185, 174],\n",
       "         ...,\n",
       "         [164, 162, 152],\n",
       "         [164, 162, 152],\n",
       "         [165, 163, 153]],\n",
       " \n",
       "        [[185, 183, 172],\n",
       "         [186, 184, 173],\n",
       "         [187, 185, 174],\n",
       "         ...,\n",
       "         [165, 163, 153],\n",
       "         [166, 164, 154],\n",
       "         [167, 165, 155]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[106, 154, 188],\n",
       "         [109, 151, 186],\n",
       "         [115, 153, 187],\n",
       "         ...,\n",
       "         [ 57,  68,  72],\n",
       "         [ 55,  66,  70],\n",
       "         [ 55,  66,  70]],\n",
       " \n",
       "        [[ 88, 123, 157],\n",
       "         [103, 132, 166],\n",
       "         [110, 136, 170],\n",
       "         ...,\n",
       "         [ 55,  66,  70],\n",
       "         [ 55,  66,  70],\n",
       "         [ 57,  68,  72]],\n",
       " \n",
       "        [[111, 148, 186],\n",
       "         [117, 149, 187],\n",
       "         [121, 148, 185],\n",
       "         ...,\n",
       "         [ 57,  68,  72],\n",
       "         [ 55,  66,  70],\n",
       "         [ 53,  64,  68]]], dtype=uint8),\n",
       " array([[[145, 147, 148],\n",
       "         [144, 146, 147],\n",
       "         [145, 147, 148],\n",
       "         ...,\n",
       "         [171, 170, 174],\n",
       "         [171, 170, 174],\n",
       "         [175, 174, 178]],\n",
       " \n",
       "        [[144, 146, 147],\n",
       "         [142, 144, 145],\n",
       "         [143, 145, 146],\n",
       "         ...,\n",
       "         [170, 169, 173],\n",
       "         [170, 169, 173],\n",
       "         [175, 174, 178]],\n",
       " \n",
       "        [[144, 146, 147],\n",
       "         [142, 144, 145],\n",
       "         [144, 146, 147],\n",
       "         ...,\n",
       "         [175, 174, 178],\n",
       "         [174, 173, 177],\n",
       "         [180, 179, 183]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 13,  23,  33],\n",
       "         [  9,  19,  29],\n",
       "         [ 14,  24,  34],\n",
       "         ...,\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        [[ 11,  24,  32],\n",
       "         [ 11,  22,  30],\n",
       "         [ 19,  28,  37],\n",
       "         ...,\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0]],\n",
       " \n",
       "        [[ 15,  28,  36],\n",
       "         [ 13,  24,  32],\n",
       "         [ 11,  20,  29],\n",
       "         ...,\n",
       "         [  0,   0,   0],\n",
       "         [  0,   0,   0],\n",
       "         [ 20,  20,  20]]], dtype=uint8),\n",
       " array([[[119, 121, 123],\n",
       "         [ 55,  57,  58],\n",
       "         [164, 166, 167],\n",
       "         ...,\n",
       "         [ 99,  98, 216],\n",
       "         [ 99,  98, 216],\n",
       "         [ 99,  98, 216]],\n",
       " \n",
       "        [[120, 122, 123],\n",
       "         [ 56,  57,  58],\n",
       "         [164, 167, 168],\n",
       "         ...,\n",
       "         [ 99,  98, 216],\n",
       "         [ 99,  98, 216],\n",
       "         [ 99,  98, 216]],\n",
       " \n",
       "        [[120, 122, 123],\n",
       "         [ 57,  58,  59],\n",
       "         [164, 166, 167],\n",
       "         ...,\n",
       "         [ 99,  98, 216],\n",
       "         [ 99,  98, 216],\n",
       "         [ 99,  98, 216]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 52,  57,  62],\n",
       "         [ 32,  34,  36],\n",
       "         [ 49,  51,  52],\n",
       "         ...,\n",
       "         [107, 110, 111],\n",
       "         [111, 113, 114],\n",
       "         [114, 116, 117]],\n",
       " \n",
       "        [[ 31,  33,  33],\n",
       "         [ 28,  28,  28],\n",
       "         [ 47,  48,  49],\n",
       "         ...,\n",
       "         [105, 108, 112],\n",
       "         [109, 111, 113],\n",
       "         [112, 114, 114]],\n",
       " \n",
       "        [[ 38,  39,  40],\n",
       "         [ 38,  38,  38],\n",
       "         [ 57,  57,  57],\n",
       "         ...,\n",
       "         [103, 106, 110],\n",
       "         [106, 109, 112],\n",
       "         [110, 111, 114]]], dtype=uint8),\n",
       " array([[[ 96, 124, 148],\n",
       "         [ 99, 128, 149],\n",
       "         [103, 133, 152],\n",
       "         ...,\n",
       "         [105, 132, 159],\n",
       "         [102, 129, 156],\n",
       "         [ 97, 124, 151]],\n",
       " \n",
       "        [[ 97, 124, 150],\n",
       "         [100, 128, 152],\n",
       "         [105, 134, 154],\n",
       "         ...,\n",
       "         [108, 135, 162],\n",
       "         [106, 133, 160],\n",
       "         [102, 129, 156]],\n",
       " \n",
       "        [[ 97, 124, 151],\n",
       "         [101, 128, 154],\n",
       "         [106, 135, 157],\n",
       "         ...,\n",
       "         [112, 139, 166],\n",
       "         [109, 136, 163],\n",
       "         [105, 132, 159]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 65, 102, 146],\n",
       "         [ 77, 116, 160],\n",
       "         [ 70, 112, 155],\n",
       "         ...,\n",
       "         [ 17,  34,  62],\n",
       "         [  7,  24,  53],\n",
       "         [  4,  14,  41]],\n",
       " \n",
       "        [[ 48,  84, 128],\n",
       "         [ 58,  98, 143],\n",
       "         [ 80, 120, 163],\n",
       "         ...,\n",
       "         [ 12,  29,  56],\n",
       "         [  9,  26,  59],\n",
       "         [ 10,  23,  60]],\n",
       " \n",
       "        [[ 79, 107, 154],\n",
       "         [ 64, 105, 154],\n",
       "         [ 53,  86, 131],\n",
       "         ...,\n",
       "         [ 28,  43,  75],\n",
       "         [ 38,  52,  82],\n",
       "         [ 17,  32,  64]]], dtype=uint8),\n",
       " array([[[197, 195, 195],\n",
       "         [198, 196, 196],\n",
       "         [198, 196, 196],\n",
       "         ...,\n",
       "         [ 94,  89,  90],\n",
       "         [ 85,  83,  83],\n",
       "         [ 80,  80,  80]],\n",
       " \n",
       "        [[198, 196, 196],\n",
       "         [198, 196, 196],\n",
       "         [198, 196, 196],\n",
       "         ...,\n",
       "         [ 97,  92,  93],\n",
       "         [ 87,  85,  85],\n",
       "         [ 79,  79,  79]],\n",
       " \n",
       "        [[197, 196, 196],\n",
       "         [196, 194, 194],\n",
       "         [197, 195, 195],\n",
       "         ...,\n",
       "         [ 99,  94,  95],\n",
       "         [ 87,  85,  85],\n",
       "         [ 81,  81,  81]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[ 22,  16,   5],\n",
       "         [140, 142, 142],\n",
       "         [180, 194, 206],\n",
       "         ...,\n",
       "         [122, 128, 141],\n",
       "         [145, 149, 160],\n",
       "         [124, 126, 136]],\n",
       " \n",
       "        [[ 20,  14,   4],\n",
       "         [204, 207, 213],\n",
       "         [172, 190, 206],\n",
       "         ...,\n",
       "         [129, 134, 148],\n",
       "         [123, 126, 139],\n",
       "         [145, 147, 158]],\n",
       " \n",
       "        [[  8,  13,  11],\n",
       "         [185, 187, 196],\n",
       "         [160, 174, 197],\n",
       "         ...,\n",
       "         [127, 133, 144],\n",
       "         [125, 131, 143],\n",
       "         [122, 128, 138]]], dtype=uint8),\n",
       " array([[[ 26,  43,  63],\n",
       "         [ 23,  45,  81],\n",
       "         [ 97, 139, 182],\n",
       "         ...,\n",
       "         [ 62, 105, 132],\n",
       "         [ 61, 104, 131],\n",
       "         [ 65, 105, 133]],\n",
       " \n",
       "        [[ 28,  45,  64],\n",
       "         [ 11,  33,  68],\n",
       "         [ 92, 135, 176],\n",
       "         ...,\n",
       "         [ 63, 106, 133],\n",
       "         [ 62, 105, 132],\n",
       "         [ 63, 103, 131]],\n",
       " \n",
       "        [[ 27,  44,  61],\n",
       "         [ 16,  40,  73],\n",
       "         [ 90, 134, 174],\n",
       "         ...,\n",
       "         [ 63, 106, 133],\n",
       "         [ 61, 104, 131],\n",
       "         [ 62, 102, 130]],\n",
       " \n",
       "        ...,\n",
       " \n",
       "        [[220, 237, 224],\n",
       "         [215, 231, 221],\n",
       "         [168, 183, 191],\n",
       "         ...,\n",
       "         [ 21,  43,  79],\n",
       "         [ 23,  42,  86],\n",
       "         [ 18,  44,  74]],\n",
       " \n",
       "        [[224, 241, 228],\n",
       "         [230, 247, 235],\n",
       "         [220, 236, 242],\n",
       "         ...,\n",
       "         [ 23,  47,  77],\n",
       "         [ 19,  40,  78],\n",
       "         [ 16,  42,  72]],\n",
       " \n",
       "        [[217, 234, 221],\n",
       "         [222, 239, 225],\n",
       "         [233, 251, 252],\n",
       "         ...,\n",
       "         [ 23,  47,  75],\n",
       "         [ 20,  42,  77],\n",
       "         [ 18,  44,  74]]], dtype=uint8)]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "aba8ce65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[243 243 243]\n",
      "  [243 243 243]\n",
      "  [241 241 241]\n",
      "  ...\n",
      "  [240 241 239]\n",
      "  [242 243 241]\n",
      "  [242 242 242]]\n",
      "\n",
      " [[237 237 237]\n",
      "  [237 237 237]\n",
      "  [239 239 239]\n",
      "  ...\n",
      "  [241 242 240]\n",
      "  [239 240 238]\n",
      "  [237 237 237]]\n",
      "\n",
      " [[242 242 242]\n",
      "  [242 242 242]\n",
      "  [242 242 242]\n",
      "  ...\n",
      "  [237 237 236]\n",
      "  [241 241 240]\n",
      "  [243 243 243]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 66  82 111]\n",
      "  [ 70  85 117]\n",
      "  [ 64  79 112]\n",
      "  ...\n",
      "  [202 202 202]\n",
      "  [202 202 202]\n",
      "  [199 201 201]]\n",
      "\n",
      " [[ 66  82 111]\n",
      "  [ 65  81 110]\n",
      "  [ 61  79 112]\n",
      "  ...\n",
      "  [202 202 202]\n",
      "  [202 202 202]\n",
      "  [199 201 201]]\n",
      "\n",
      " [[ 67  86 115]\n",
      "  [ 69  83 111]\n",
      "  [ 66  86 119]\n",
      "  ...\n",
      "  [200 200 200]\n",
      "  [200 200 200]\n",
      "  [197 199 199]]]\n",
      "[[[179 207 224]\n",
      "  [ 94 116 129]\n",
      "  [101 116 124]\n",
      "  ...\n",
      "  [ 85 127 148]\n",
      "  [ 82 124 146]\n",
      "  [ 81 122 144]]\n",
      "\n",
      " [[164 197 220]\n",
      "  [172 202 221]\n",
      "  [163 188 204]\n",
      "  ...\n",
      "  [ 86 129 150]\n",
      "  [ 83 126 147]\n",
      "  [ 82 125 146]]\n",
      "\n",
      " [[154 191 211]\n",
      "  [158 194 215]\n",
      "  [166 198 221]\n",
      "  ...\n",
      "  [ 86 131 152]\n",
      "  [ 86 131 152]\n",
      "  [ 82 127 148]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[101 129 140]\n",
      "  [ 82  91  98]\n",
      "  [110 108 108]\n",
      "  ...\n",
      "  [145 140 139]\n",
      "  [114 111 109]\n",
      "  [124 120 120]]\n",
      "\n",
      " [[114 102  99]\n",
      "  [ 98  91  86]\n",
      "  [115 116 106]\n",
      "  ...\n",
      "  [130 123 120]\n",
      "  [135 128 125]\n",
      "  [134 126 123]]\n",
      "\n",
      " [[ 99  93  92]\n",
      "  [107 103 101]\n",
      "  [ 98  91  91]\n",
      "  ...\n",
      "  [123 116 113]\n",
      "  [101  89  87]\n",
      "  [119 106 104]]]\n",
      "[[[133 163 186]\n",
      "  [133 162 184]\n",
      "  [135 165 187]\n",
      "  ...\n",
      "  [110 148 119]\n",
      "  [117 156 134]\n",
      "  [158 179 195]]\n",
      "\n",
      " [[133 162 185]\n",
      "  [132 160 181]\n",
      "  [133 160 181]\n",
      "  ...\n",
      "  [109 150 117]\n",
      "  [116 153 133]\n",
      "  [158 179 195]]\n",
      "\n",
      " [[125 154 177]\n",
      "  [125 154 177]\n",
      "  [128 155 177]\n",
      "  ...\n",
      "  [108 132 134]\n",
      "  [111 157 121]\n",
      "  [158 179 195]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[189 213 228]\n",
      "  [188 213 227]\n",
      "  [194 214 228]\n",
      "  ...\n",
      "  [ 25 112 153]\n",
      "  [ 28 112 153]\n",
      "  [ 40 116 153]]\n",
      "\n",
      " [[194 216 231]\n",
      "  [197 220 233]\n",
      "  [200 218 231]\n",
      "  ...\n",
      "  [ 40 115 152]\n",
      "  [ 40 118 156]\n",
      "  [ 42 125 163]]\n",
      "\n",
      " [[191 214 229]\n",
      "  [194 217 232]\n",
      "  [201 220 233]\n",
      "  ...\n",
      "  [ 41 120 158]\n",
      "  [ 40 117 155]\n",
      "  [ 41 121 160]]]\n",
      "[[[ 82 152 211]\n",
      "  [ 82 152 211]\n",
      "  [ 82 152 211]\n",
      "  ...\n",
      "  [ 84 150 202]\n",
      "  [ 84 150 203]\n",
      "  [ 84 150 203]]\n",
      "\n",
      " [[ 82 153 210]\n",
      "  [ 82 153 210]\n",
      "  [ 82 153 210]\n",
      "  ...\n",
      "  [ 84 150 202]\n",
      "  [ 84 150 203]\n",
      "  [ 84 150 203]]\n",
      "\n",
      " [[ 82 154 208]\n",
      "  [ 82 154 208]\n",
      "  [ 82 154 208]\n",
      "  ...\n",
      "  [ 84 150 202]\n",
      "  [ 84 150 203]\n",
      "  [ 84 150 203]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 39  25  75]\n",
      "  [ 29  18  73]\n",
      "  [ 27  25  60]\n",
      "  ...\n",
      "  [  0   3  32]\n",
      "  [  0   3  28]\n",
      "  [  0   2  28]]\n",
      "\n",
      " [[ 40  22  47]\n",
      "  [ 45  37  79]\n",
      "  [ 13  18  53]\n",
      "  ...\n",
      "  [ 10  19  41]\n",
      "  [  1  10  31]\n",
      "  [ 15  25  47]]\n",
      "\n",
      " [[  2   0   7]\n",
      "  [  1   0  14]\n",
      "  [  0   0  21]\n",
      "  ...\n",
      "  [  0   2  13]\n",
      "  [  0   2  13]\n",
      "  [  0   0  10]]]\n",
      "[[[131 170 178]\n",
      "  [138 173 184]\n",
      "  [106 144 170]\n",
      "  ...\n",
      "  [119 185 214]\n",
      "  [117 182 210]\n",
      "  [118 183 211]]\n",
      "\n",
      " [[106 145 159]\n",
      "  [104 140 159]\n",
      "  [102 140 171]\n",
      "  ...\n",
      "  [114 179 207]\n",
      "  [120 184 209]\n",
      "  [121 185 210]]\n",
      "\n",
      " [[116 153 175]\n",
      "  [107 144 172]\n",
      "  [104 141 175]\n",
      "  ...\n",
      "  [120 181 207]\n",
      "  [123 185 209]\n",
      "  [123 185 209]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 23  42  55]\n",
      "  [ 31  51  62]\n",
      "  [ 40  57  70]\n",
      "  ...\n",
      "  [154 193 207]\n",
      "  [155 192 206]\n",
      "  [153 192 206]]\n",
      "\n",
      " [[ 25  40  56]\n",
      "  [ 29  46  55]\n",
      "  [ 39  54  70]\n",
      "  ...\n",
      "  [154 189 203]\n",
      "  [155 190 204]\n",
      "  [155 190 203]]\n",
      "\n",
      " [[ 26  41  57]\n",
      "  [ 31  48  57]\n",
      "  [ 39  54  70]\n",
      "  ...\n",
      "  [155 190 204]\n",
      "  [156 191 205]\n",
      "  [156 191 205]]]\n",
      "[[[145 153 163]\n",
      "  [144 153 164]\n",
      "  [143 152 164]\n",
      "  ...\n",
      "  [158 169 177]\n",
      "  [159 170 180]\n",
      "  [158 169 176]]\n",
      "\n",
      " [[145 154 166]\n",
      "  [145 152 165]\n",
      "  [144 153 164]\n",
      "  ...\n",
      "  [162 170 179]\n",
      "  [160 169 179]\n",
      "  [160 169 176]]\n",
      "\n",
      " [[145 155 168]\n",
      "  [146 153 167]\n",
      "  [144 153 165]\n",
      "  ...\n",
      "  [161 170 178]\n",
      "  [160 170 180]\n",
      "  [159 168 180]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[178 190 204]\n",
      "  [173 188 201]\n",
      "  [176 191 203]\n",
      "  ...\n",
      "  [120 144 155]\n",
      "  [126 142 160]\n",
      "  [126 146 161]]\n",
      "\n",
      " [[194 206 212]\n",
      "  [192 205 212]\n",
      "  [182 198 207]\n",
      "  ...\n",
      "  [124 142 156]\n",
      "  [127 142 158]\n",
      "  [131 143 159]]\n",
      "\n",
      " [[177 193 207]\n",
      "  [169 187 201]\n",
      "  [170 191 201]\n",
      "  ...\n",
      "  [124 139 155]\n",
      "  [130 140 157]\n",
      "  [128 145 157]]]\n",
      "[[[176 178 178]\n",
      "  [177 179 179]\n",
      "  [177 179 179]\n",
      "  ...\n",
      "  [174 176 177]\n",
      "  [182 184 185]\n",
      "  [187 189 190]]\n",
      "\n",
      " [[175 177 177]\n",
      "  [176 178 178]\n",
      "  [177 179 179]\n",
      "  ...\n",
      "  [183 185 186]\n",
      "  [189 191 192]\n",
      "  [191 193 194]]\n",
      "\n",
      " [[181 183 183]\n",
      "  [177 179 179]\n",
      "  [177 179 179]\n",
      "  ...\n",
      "  [188 190 191]\n",
      "  [191 193 194]\n",
      "  [193 196 196]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 90 100 118]\n",
      "  [ 85  97 115]\n",
      "  [ 86 100 118]\n",
      "  ...\n",
      "  [ 81  96 112]\n",
      "  [ 85 100 116]\n",
      "  [ 84  98 116]]\n",
      "\n",
      " [[ 89  99 117]\n",
      "  [ 89 101 119]\n",
      "  [ 87 101 119]\n",
      "  ...\n",
      "  [ 76  91 107]\n",
      "  [ 80  95 111]\n",
      "  [ 86 101 117]]\n",
      "\n",
      " [[ 88 102 120]\n",
      "  [ 87 101 119]\n",
      "  [ 87 101 119]\n",
      "  ...\n",
      "  [ 78  94 109]\n",
      "  [ 78  96 107]\n",
      "  [ 83  99 112]]]\n",
      "[[[ 11  13  13]\n",
      "  [ 17  19  17]\n",
      "  [ 15  16  17]\n",
      "  ...\n",
      "  [ 71  74  76]\n",
      "  [ 69  73  75]\n",
      "  [ 66  70  71]]\n",
      "\n",
      " [[ 16  20  20]\n",
      "  [ 11  12  11]\n",
      "  [ 12  12  12]\n",
      "  ...\n",
      "  [ 72  75  75]\n",
      "  [ 72  75  76]\n",
      "  [ 69  73  74]]\n",
      "\n",
      " [[ 21  25  25]\n",
      "  [  9   9   9]\n",
      "  [  9   8   8]\n",
      "  ...\n",
      "  [ 73  78  77]\n",
      "  [ 72  77  77]\n",
      "  [ 68  72  73]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[104 105 112]\n",
      "  [111 114 117]\n",
      "  [108 109 109]\n",
      "  ...\n",
      "  [ 85 108 110]\n",
      "  [ 80 102 107]\n",
      "  [ 81 102 104]]\n",
      "\n",
      " [[102 105 110]\n",
      "  [104 107 111]\n",
      "  [107 106 109]\n",
      "  ...\n",
      "  [ 86 108 113]\n",
      "  [ 87 107 114]\n",
      "  [ 84 104 110]]\n",
      "\n",
      " [[100 104 105]\n",
      "  [102 104 106]\n",
      "  [100 101 103]\n",
      "  ...\n",
      "  [ 80 100 106]\n",
      "  [ 82 103 110]\n",
      "  [ 81 102 109]]]\n",
      "[[[251 251 251]\n",
      "  [251 251 251]\n",
      "  [251 251 251]\n",
      "  ...\n",
      "  [213 217 218]\n",
      "  [213 217 218]\n",
      "  [212 216 217]]\n",
      "\n",
      " [[251 251 251]\n",
      "  [251 251 251]\n",
      "  [251 251 251]\n",
      "  ...\n",
      "  [212 215 219]\n",
      "  [212 215 219]\n",
      "  [212 215 219]]\n",
      "\n",
      " [[251 251 251]\n",
      "  [251 251 251]\n",
      "  [251 251 251]\n",
      "  ...\n",
      "  [212 215 219]\n",
      "  [212 215 219]\n",
      "  [212 215 219]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[108 161 148]\n",
      "  [100 158 146]\n",
      "  [ 51 108  97]\n",
      "  ...\n",
      "  [ 14  49  73]\n",
      "  [ 17  53  77]\n",
      "  [ 13  50  71]]\n",
      "\n",
      " [[107 161 149]\n",
      "  [ 59 116 105]\n",
      "  [ 63 119 109]\n",
      "  ...\n",
      "  [ 17  51  75]\n",
      "  [ 15  50  74]\n",
      "  [ 21  58  78]]\n",
      "\n",
      " [[ 58 115 104]\n",
      "  [ 62 120 109]\n",
      "  [ 65 111 108]\n",
      "  ...\n",
      "  [ 16  62  87]\n",
      "  [ 20  56  78]\n",
      "  [ 14  49  71]]]\n",
      "[[[218 222 223]\n",
      "  [235 239 240]\n",
      "  [236 240 241]\n",
      "  ...\n",
      "  [203 206 220]\n",
      "  [201 207 216]\n",
      "  [200 205 214]]\n",
      "\n",
      " [[233 236 237]\n",
      "  [230 235 235]\n",
      "  [223 227 228]\n",
      "  ...\n",
      "  [203 206 220]\n",
      "  [201 207 216]\n",
      "  [200 205 214]]\n",
      "\n",
      " [[232 236 237]\n",
      "  [234 238 239]\n",
      "  [235 239 240]\n",
      "  ...\n",
      "  [203 206 220]\n",
      "  [201 207 216]\n",
      "  [200 205 214]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 44  43  45]\n",
      "  [ 23  22  24]\n",
      "  [ 21  20  22]\n",
      "  ...\n",
      "  [207 210 215]\n",
      "  [204 207 212]\n",
      "  [205 208 213]]\n",
      "\n",
      " [[ 46  47  48]\n",
      "  [ 24  24  25]\n",
      "  [ 21  20  22]\n",
      "  ...\n",
      "  [207 210 215]\n",
      "  [204 207 212]\n",
      "  [205 208 213]]\n",
      "\n",
      " [[ 41  46  44]\n",
      "  [ 20  22  22]\n",
      "  [ 22  21  23]\n",
      "  ...\n",
      "  [207 210 215]\n",
      "  [204 207 212]\n",
      "  [207 210 215]]]\n",
      "[[[15 27 46]\n",
      "  [ 5  1  1]\n",
      "  [ 2  0  1]\n",
      "  ...\n",
      "  [ 0  0  0]\n",
      "  [ 0  0  0]\n",
      "  [ 0  0  0]]\n",
      "\n",
      " [[20 42 66]\n",
      "  [ 1  0  1]\n",
      "  [ 6  3  2]\n",
      "  ...\n",
      "  [ 0  0  0]\n",
      "  [ 0  0  0]\n",
      "  [ 0  0  0]]\n",
      "\n",
      " [[20 41 70]\n",
      "  [ 5 16 37]\n",
      "  [ 1  1  7]\n",
      "  ...\n",
      "  [ 0  0  0]\n",
      "  [ 0  0  0]\n",
      "  [ 0  0  0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 0  0  0]\n",
      "  [ 0  0  0]\n",
      "  [ 0  0  0]\n",
      "  ...\n",
      "  [ 0 19 48]\n",
      "  [ 0 33 69]\n",
      "  [ 0 31 65]]\n",
      "\n",
      " [[ 0  0  0]\n",
      "  [ 0  0  0]\n",
      "  [ 0  0  0]\n",
      "  ...\n",
      "  [ 1 22 51]\n",
      "  [ 0 35 70]\n",
      "  [ 0 31 66]]\n",
      "\n",
      " [[ 0  0  0]\n",
      "  [ 0  0  0]\n",
      "  [ 0  0  0]\n",
      "  ...\n",
      "  [ 0 22 51]\n",
      "  [ 1 36 73]\n",
      "  [ 0 29 65]]]\n",
      "[[[121 136 143]\n",
      "  [122 137 144]\n",
      "  [120 135 147]\n",
      "  ...\n",
      "  [189 204 197]\n",
      "  [187 200 198]\n",
      "  [187 200 198]]\n",
      "\n",
      " [[121 136 143]\n",
      "  [121 136 143]\n",
      "  [119 134 146]\n",
      "  ...\n",
      "  [189 204 197]\n",
      "  [188 201 200]\n",
      "  [188 201 199]]\n",
      "\n",
      " [[121 136 143]\n",
      "  [121 136 143]\n",
      "  [119 134 146]\n",
      "  ...\n",
      "  [189 204 197]\n",
      "  [189 202 200]\n",
      "  [189 202 200]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 22  91 116]\n",
      "  [ 27  91 117]\n",
      "  [ 22  87 113]\n",
      "  ...\n",
      "  [115 102 100]\n",
      "  [114 105 106]\n",
      "  [128 120 119]]\n",
      "\n",
      " [[ 55  95 124]\n",
      "  [ 20  97 117]\n",
      "  [ 26  96 118]\n",
      "  ...\n",
      "  [130 112 109]\n",
      "  [113  96  93]\n",
      "  [103  97  96]]\n",
      "\n",
      " [[ 44  89 113]\n",
      "  [ 29 100 119]\n",
      "  [ 49 106 128]\n",
      "  ...\n",
      "  [155 126 122]\n",
      "  [151 130 116]\n",
      "  [155 127 118]]]\n",
      "[[[180 184 195]\n",
      "  [183 187 198]\n",
      "  [183 187 198]\n",
      "  ...\n",
      "  [217 227 243]\n",
      "  [155 169 182]\n",
      "  [143 159 166]]\n",
      "\n",
      " [[177 181 192]\n",
      "  [182 186 197]\n",
      "  [183 187 198]\n",
      "  ...\n",
      "  [214 224 240]\n",
      "  [153 167 180]\n",
      "  [143 159 166]]\n",
      "\n",
      " [[178 182 193]\n",
      "  [178 182 193]\n",
      "  [181 186 197]\n",
      "  ...\n",
      "  [212 223 239]\n",
      "  [160 174 186]\n",
      "  [148 164 171]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 96 105 114]\n",
      "  [ 99 109 116]\n",
      "  [100 110 117]\n",
      "  ...\n",
      "  [ 61  50  47]\n",
      "  [ 65  54  49]\n",
      "  [ 67  58  54]]\n",
      "\n",
      " [[ 97 107 113]\n",
      "  [ 98 109 115]\n",
      "  [ 97 107 113]\n",
      "  ...\n",
      "  [ 64  53  49]\n",
      "  [ 61  51  45]\n",
      "  [ 65  55  51]]\n",
      "\n",
      " [[ 97 108 112]\n",
      "  [ 99 110 114]\n",
      "  [ 97 108 112]\n",
      "  ...\n",
      "  [ 66  53  50]\n",
      "  [ 65  52  50]\n",
      "  [ 64  52  52]]]\n",
      "[[[ 79 114 114]\n",
      "  [ 73 102 103]\n",
      "  [ 71 103 103]\n",
      "  ...\n",
      "  [ 70 102 105]\n",
      "  [ 70 101 105]\n",
      "  [ 75 114 114]]\n",
      "\n",
      " [[ 35  53  54]\n",
      "  [  3  14  18]\n",
      "  [  4  18  21]\n",
      "  ...\n",
      "  [ 19  40  46]\n",
      "  [ 12  32  37]\n",
      "  [ 33  60  61]]\n",
      "\n",
      " [[ 34  60  61]\n",
      "  [ 10  32  34]\n",
      "  [ 14  40  41]\n",
      "  ...\n",
      "  [ 41  71  77]\n",
      "  [ 29  56  62]\n",
      "  [ 35  66  70]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 59  72  71]\n",
      "  [101  91  81]\n",
      "  [127 108  93]\n",
      "  ...\n",
      "  [131 137 110]\n",
      "  [ 99 107  82]\n",
      "  [ 66  82  75]]\n",
      "\n",
      " [[ 44  61  64]\n",
      "  [ 58  56  53]\n",
      "  [ 73  63  57]\n",
      "  ...\n",
      "  [ 81  89  71]\n",
      "  [ 61  70  55]\n",
      "  [ 52  70  67]]\n",
      "\n",
      " [[ 73 112 114]\n",
      "  [ 82 103 102]\n",
      "  [ 90 106 103]\n",
      "  ...\n",
      "  [ 84 108 105]\n",
      "  [ 80 105 104]\n",
      "  [ 74 111 119]]]\n",
      "[[[239 243 241]\n",
      "  [240 244 243]\n",
      "  [238 242 241]\n",
      "  ...\n",
      "  [237 240 241]\n",
      "  [238 240 242]\n",
      "  [238 240 243]]\n",
      "\n",
      " [[159 167 171]\n",
      "  [167 174 178]\n",
      "  [155 161 165]\n",
      "  ...\n",
      "  [192 199 199]\n",
      "  [192 198 201]\n",
      "  [189 195 198]]\n",
      "\n",
      " [[155 164 167]\n",
      "  [155 163 167]\n",
      "  [154 163 166]\n",
      "  ...\n",
      "  [192 198 199]\n",
      "  [187 193 196]\n",
      "  [187 193 196]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 48  79 122]\n",
      "  [ 46  74 116]\n",
      "  [ 61  83 122]\n",
      "  ...\n",
      "  [ 33  42  55]\n",
      "  [ 37  46  59]\n",
      "  [ 41  50  63]]\n",
      "\n",
      " [[ 48  72 105]\n",
      "  [ 35  57  88]\n",
      "  [ 40  59  89]\n",
      "  ...\n",
      "  [ 39  48  61]\n",
      "  [ 40  49  62]\n",
      "  [ 36  46  57]]\n",
      "\n",
      " [[ 41  59  86]\n",
      "  [ 40  56  83]\n",
      "  [ 40  54  77]\n",
      "  ...\n",
      "  [ 39  48  61]\n",
      "  [ 38  48  58]\n",
      "  [ 32  43  51]]]\n",
      "[[[ 77 100 124]\n",
      "  [119 138 153]\n",
      "  [128 143 152]\n",
      "  ...\n",
      "  [224 220 221]\n",
      "  [223 221 221]\n",
      "  [223 221 221]]\n",
      "\n",
      " [[ 33  53  74]\n",
      "  [119 135 147]\n",
      "  [131 143 150]\n",
      "  ...\n",
      "  [225 220 221]\n",
      "  [223 221 221]\n",
      "  [223 221 221]]\n",
      "\n",
      " [[  1   9  25]\n",
      "  [112 126 134]\n",
      "  [128 139 143]\n",
      "  ...\n",
      "  [225 220 221]\n",
      "  [223 221 221]\n",
      "  [223 221 221]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 78  89  91]\n",
      "  [ 17  31  30]\n",
      "  [ 18  16  10]\n",
      "  ...\n",
      "  [184 179 180]\n",
      "  [184 179 180]\n",
      "  [184 179 180]]\n",
      "\n",
      " [[ 79  88  95]\n",
      "  [ 19  33  33]\n",
      "  [ 16  20   6]\n",
      "  ...\n",
      "  [184 179 181]\n",
      "  [184 179 180]\n",
      "  [184 179 180]]\n",
      "\n",
      " [[ 83  92  94]\n",
      "  [ 20  35  39]\n",
      "  [ 16  25   7]\n",
      "  ...\n",
      "  [185 180 182]\n",
      "  [185 180 181]\n",
      "  [185 180 181]]]\n",
      "[[[ 87  85  75]\n",
      "  [ 92  90  80]\n",
      "  [ 80  79  69]\n",
      "  ...\n",
      "  [155 161 156]\n",
      "  [154 159 155]\n",
      "  [153 159 154]]\n",
      "\n",
      " [[ 87  89  77]\n",
      "  [ 97  99  87]\n",
      "  [ 97  99  87]\n",
      "  ...\n",
      "  [153 157 154]\n",
      "  [152 155 153]\n",
      "  [151 154 152]]\n",
      "\n",
      " [[ 91  96  81]\n",
      "  [ 99 103  89]\n",
      "  [101 106  91]\n",
      "  ...\n",
      "  [149 152 150]\n",
      "  [149 152 150]\n",
      "  [147 150 148]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[235 234 236]\n",
      "  [236 235 237]\n",
      "  [232 231 233]\n",
      "  ...\n",
      "  [223 221 220]\n",
      "  [225 226 224]\n",
      "  [ 73  71  71]]\n",
      "\n",
      " [[236 235 237]\n",
      "  [236 235 237]\n",
      "  [238 237 239]\n",
      "  ...\n",
      "  [232 225 225]\n",
      "  [228 223 222]\n",
      "  [ 73  67  69]]\n",
      "\n",
      " [[236 235 237]\n",
      "  [236 235 237]\n",
      "  [238 237 239]\n",
      "  ...\n",
      "  [231 224 224]\n",
      "  [228 223 222]\n",
      "  [ 74  69  70]]]\n",
      "[[[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]]\n",
      "[[[180 188 187]\n",
      "  [178 186 185]\n",
      "  [178 186 185]\n",
      "  ...\n",
      "  [165 173 166]\n",
      "  [165 173 166]\n",
      "  [165 173 166]]\n",
      "\n",
      " [[180 188 187]\n",
      "  [178 186 185]\n",
      "  [178 186 185]\n",
      "  ...\n",
      "  [165 173 166]\n",
      "  [165 173 166]\n",
      "  [165 173 166]]\n",
      "\n",
      " [[179 187 186]\n",
      "  [178 186 186]\n",
      "  [178 186 185]\n",
      "  ...\n",
      "  [166 174 167]\n",
      "  [165 173 166]\n",
      "  [165 173 166]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[125 137 139]\n",
      "  [125 137 139]\n",
      "  [120 132 134]\n",
      "  ...\n",
      "  [192 195 193]\n",
      "  [190 193 191]\n",
      "  [190 193 191]]\n",
      "\n",
      " [[125 137 139]\n",
      "  [125 137 139]\n",
      "  [111 123 125]\n",
      "  ...\n",
      "  [193 196 194]\n",
      "  [191 194 192]\n",
      "  [191 194 192]]\n",
      "\n",
      " [[123 137 136]\n",
      "  [112 125 127]\n",
      "  [ 85  97 102]\n",
      "  ...\n",
      "  [193 196 194]\n",
      "  [193 196 194]\n",
      "  [190 196 191]]]\n",
      "[[[  1   0   2]\n",
      "  [  0   0   1]\n",
      "  [  1   0   2]\n",
      "  ...\n",
      "  [  1   0   2]\n",
      "  [  2   1   3]\n",
      "  [  2   0   1]]\n",
      "\n",
      " [[  1   1   3]\n",
      "  [  1   0   2]\n",
      "  [  1   0   2]\n",
      "  ...\n",
      "  [  5   3   3]\n",
      "  [  8   5   6]\n",
      "  [  3   1   2]]\n",
      "\n",
      " [[  1   0   2]\n",
      "  [  1   0   2]\n",
      "  [  1   0   2]\n",
      "  ...\n",
      "  [ 18  14  10]\n",
      "  [ 49  45  44]\n",
      "  [ 15  12  14]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 25  18  15]\n",
      "  [ 22  15  12]\n",
      "  [ 20  13  10]\n",
      "  ...\n",
      "  [  7   6   8]\n",
      "  [  6   5   7]\n",
      "  [  0   0   1]]\n",
      "\n",
      " [[ 27  20  17]\n",
      "  [ 23  16  13]\n",
      "  [ 21  14  11]\n",
      "  ...\n",
      "  [145 144 146]\n",
      "  [ 94  93  95]\n",
      "  [132 130 133]]\n",
      "\n",
      " [[ 26  19  16]\n",
      "  [ 23  16  13]\n",
      "  [ 21  14  11]\n",
      "  ...\n",
      "  [  4   4   5]\n",
      "  [ 15  14  16]\n",
      "  [  8   7   9]]]\n",
      "[[[245 245 246]\n",
      "  [ 51  62  74]\n",
      "  [ 74  75  77]\n",
      "  ...\n",
      "  [ 41  31  27]\n",
      "  [ 43  33  27]\n",
      "  [ 43  33  27]]\n",
      "\n",
      " [[243 243 244]\n",
      "  [ 47  54  62]\n",
      "  [ 67  71  74]\n",
      "  ...\n",
      "  [ 56  46  35]\n",
      "  [ 51  42  31]\n",
      "  [ 53  44  32]]\n",
      "\n",
      " [[243 243 243]\n",
      "  [ 36  42  46]\n",
      "  [ 45  49  55]\n",
      "  ...\n",
      "  [ 51  42  29]\n",
      "  [ 55  47  33]\n",
      "  [ 41  33  21]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[247 247 247]\n",
      "  [114 106  94]\n",
      "  [106  99  86]\n",
      "  ...\n",
      "  [192 177 159]\n",
      "  [190 176 158]\n",
      "  [189 175 157]]\n",
      "\n",
      " [[247 247 246]\n",
      "  [114 106  94]\n",
      "  [107  99  87]\n",
      "  ...\n",
      "  [190 176 158]\n",
      "  [189 175 157]\n",
      "  [188 174 156]]\n",
      "\n",
      " [[247 247 246]\n",
      "  [115 106  94]\n",
      "  [107  97  85]\n",
      "  ...\n",
      "  [189 175 157]\n",
      "  [188 174 156]\n",
      "  [186 171 153]]]\n",
      "[[[221 223 223]\n",
      "  [221 223 223]\n",
      "  [221 223 223]\n",
      "  ...\n",
      "  [109 111 112]\n",
      "  [117 119 119]\n",
      "  [174 176 177]]\n",
      "\n",
      " [[219 221 221]\n",
      "  [221 223 223]\n",
      "  [221 223 223]\n",
      "  ...\n",
      "  [200 202 203]\n",
      "  [222 224 225]\n",
      "  [231 233 234]]\n",
      "\n",
      " [[222 224 224]\n",
      "  [220 222 222]\n",
      "  [220 222 222]\n",
      "  ...\n",
      "  [231 233 235]\n",
      "  [234 236 237]\n",
      "  [231 233 234]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 97 111 133]\n",
      "  [ 78  92 114]\n",
      "  [ 76  91 112]\n",
      "  ...\n",
      "  [ 90 102 114]\n",
      "  [116 129 141]\n",
      "  [ 85  98 109]]\n",
      "\n",
      " [[ 90 104 126]\n",
      "  [ 78  92 114]\n",
      "  [ 85  99 121]\n",
      "  ...\n",
      "  [ 81  93 105]\n",
      "  [121 133 145]\n",
      "  [ 83  95 107]]\n",
      "\n",
      " [[ 88 102 124]\n",
      "  [ 81  95 117]\n",
      "  [ 96 110 132]\n",
      "  ...\n",
      "  [ 77  89 101]\n",
      "  [103 115 127]\n",
      "  [106 118 130]]]\n",
      "[[[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]]\n",
      "[[[ 52  71  99]\n",
      "  [ 52  71  99]\n",
      "  [ 52  71 100]\n",
      "  ...\n",
      "  [190 205 214]\n",
      "  [189 204 213]\n",
      "  [190 205 214]]\n",
      "\n",
      " [[162 180 200]\n",
      "  [165 182 203]\n",
      "  [167 184 205]\n",
      "  ...\n",
      "  [191 206 215]\n",
      "  [188 202 211]\n",
      "  [190 205 214]]\n",
      "\n",
      " [[198 215 234]\n",
      "  [198 216 233]\n",
      "  [201 219 234]\n",
      "  ...\n",
      "  [191 206 215]\n",
      "  [189 203 212]\n",
      "  [190 205 214]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[201 198 193]\n",
      "  [201 198 193]\n",
      "  [202 198 194]\n",
      "  ...\n",
      "  [164 163 166]\n",
      "  [160 159 161]\n",
      "  [156 156 158]]\n",
      "\n",
      " [[205 202 196]\n",
      "  [204 202 196]\n",
      "  [204 202 198]\n",
      "  ...\n",
      "  [168 167 169]\n",
      "  [162 161 164]\n",
      "  [161 159 162]]\n",
      "\n",
      " [[211 206 201]\n",
      "  [209 206 201]\n",
      "  [208 205 201]\n",
      "  ...\n",
      "  [170 166 169]\n",
      "  [167 164 167]\n",
      "  [162 158 161]]]\n",
      "[[[ 82 151 161]\n",
      "  [ 82 151 161]\n",
      "  [ 82 151 161]\n",
      "  ...\n",
      "  [129 163 179]\n",
      "  [128 162 178]\n",
      "  [ 50  84 100]]\n",
      "\n",
      " [[ 83 152 162]\n",
      "  [ 83 152 162]\n",
      "  [ 83 152 162]\n",
      "  ...\n",
      "  [128 162 178]\n",
      "  [127 161 177]\n",
      "  [ 50  84 100]]\n",
      "\n",
      " [[ 84 153 163]\n",
      "  [ 84 153 163]\n",
      "  [ 84 153 163]\n",
      "  ...\n",
      "  [125 160 175]\n",
      "  [126 160 176]\n",
      "  [ 50  84 100]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 15  24  37]\n",
      "  [ 49  51  50]\n",
      "  [104  99  80]\n",
      "  ...\n",
      "  [ 53  52  54]\n",
      "  [ 19  22  26]\n",
      "  [ 10  16  27]]\n",
      "\n",
      " [[ 12  21  34]\n",
      "  [ 48  50  48]\n",
      "  [102  97  78]\n",
      "  ...\n",
      "  [ 54  54  55]\n",
      "  [ 19  19  23]\n",
      "  [ 10  15  24]]\n",
      "\n",
      " [[ 12  21  34]\n",
      "  [ 47  49  47]\n",
      "  [100  95  76]\n",
      "  ...\n",
      "  [114 112 113]\n",
      "  [ 89  90  93]\n",
      "  [ 85  87  97]]]\n",
      "[[[120 114 107]\n",
      "  [137 128 121]\n",
      "  [133 124 116]\n",
      "  ...\n",
      "  [109 108 104]\n",
      "  [110 108 105]\n",
      "  [105 103 101]]\n",
      "\n",
      " [[110 105 102]\n",
      "  [124 121 113]\n",
      "  [121 121 109]\n",
      "  ...\n",
      "  [103 104 101]\n",
      "  [114 116 110]\n",
      "  [107 107 101]]\n",
      "\n",
      " [[ 96  93  86]\n",
      "  [102 102  96]\n",
      "  [ 96  97  94]\n",
      "  ...\n",
      "  [116 115 113]\n",
      "  [112 110 107]\n",
      "  [109 105 101]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 27  26  76]\n",
      "  [ 25  24  66]\n",
      "  [ 32  30  63]\n",
      "  ...\n",
      "  [ 94  90  88]\n",
      "  [ 91  86  85]\n",
      "  [ 86  81  80]]\n",
      "\n",
      " [[ 24  23  65]\n",
      "  [ 23  24  55]\n",
      "  [ 29  27  50]\n",
      "  ...\n",
      "  [ 97  91  89]\n",
      "  [ 82  77  75]\n",
      "  [ 75  72  72]]\n",
      "\n",
      " [[ 23  22  53]\n",
      "  [ 18  22  42]\n",
      "  [ 22  22  37]\n",
      "  ...\n",
      "  [ 84  78  79]\n",
      "  [ 71  68  71]\n",
      "  [ 52  56  60]]]\n",
      "[[[172 183 186]\n",
      "  [172 183 186]\n",
      "  [172 183 186]\n",
      "  ...\n",
      "  [182 192 196]\n",
      "  [182 192 196]\n",
      "  [184 195 199]]\n",
      "\n",
      " [[172 183 186]\n",
      "  [176 186 189]\n",
      "  [175 184 187]\n",
      "  ...\n",
      "  [180 191 194]\n",
      "  [182 192 196]\n",
      "  [182 192 196]]\n",
      "\n",
      " [[174 184 187]\n",
      "  [175 184 187]\n",
      "  [172 183 186]\n",
      "  ...\n",
      "  [178 189 193]\n",
      "  [181 191 195]\n",
      "  [177 189 193]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[144 100  99]\n",
      "  [197 170 162]\n",
      "  [230 208 197]\n",
      "  ...\n",
      "  [192 185 186]\n",
      "  [188 182 184]\n",
      "  [193 186 187]]\n",
      "\n",
      " [[152 114 112]\n",
      "  [202 177 167]\n",
      "  [230 208 197]\n",
      "  ...\n",
      "  [185 179 181]\n",
      "  [193 186 187]\n",
      "  [193 186 187]]\n",
      "\n",
      " [[144 100  99]\n",
      "  [180 151 146]\n",
      "  [224 204 197]\n",
      "  ...\n",
      "  [185 179 181]\n",
      "  [188 182 184]\n",
      "  [193 186 187]]]\n",
      "[[[142 152 140]\n",
      "  [184 192 180]\n",
      "  [214 217 206]\n",
      "  ...\n",
      "  [ 56  59  63]\n",
      "  [ 57  60  64]\n",
      "  [ 57  60  64]]\n",
      "\n",
      " [[111 125 113]\n",
      "  [119 130 118]\n",
      "  [139 145 134]\n",
      "  ...\n",
      "  [ 56  59  63]\n",
      "  [ 62  65  69]\n",
      "  [ 57  60  64]]\n",
      "\n",
      " [[110 127 116]\n",
      "  [109 125 114]\n",
      "  [118 130 119]\n",
      "  ...\n",
      "  [ 58  61  64]\n",
      "  [ 61  64  68]\n",
      "  [ 56  59  64]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 32  31  33]\n",
      "  [ 33  32  34]\n",
      "  [ 31  30  32]\n",
      "  ...\n",
      "  [101  97  96]\n",
      "  [ 92  88  87]\n",
      "  [ 91  87  86]]\n",
      "\n",
      " [[ 32  31  33]\n",
      "  [ 33  32  34]\n",
      "  [ 30  29  31]\n",
      "  ...\n",
      "  [109 104 103]\n",
      "  [ 93  88  87]\n",
      "  [ 94  90  89]]\n",
      "\n",
      " [[ 32  31  33]\n",
      "  [ 33  32  34]\n",
      "  [ 30  29  31]\n",
      "  ...\n",
      "  [ 94  90  89]\n",
      "  [ 95  91  90]\n",
      "  [ 97  93  92]]]\n",
      "[[[144 176 199]\n",
      "  [144 178 201]\n",
      "  [143 179 203]\n",
      "  ...\n",
      "  [  6  33  92]\n",
      "  [  7  34  94]\n",
      "  [  4  33  90]]\n",
      "\n",
      " [[145 178 201]\n",
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      "  ...\n",
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      "\n",
      " [[147 179 202]\n",
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      "\n",
      " ...\n",
      "\n",
      " [[ 72  96 118]\n",
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      "  [ 78 103 126]\n",
      "  ...\n",
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      "\n",
      " [[ 73  96 118]\n",
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      "  ...\n",
      "  [164 171 186]\n",
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      "\n",
      " [[ 72  96 116]\n",
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      "  [ 80 105 125]\n",
      "  ...\n",
      "  [162 170 184]\n",
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      "[[[174 182 184]\n",
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      "\n",
      " [[172 180 182]\n",
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      "\n",
      " [[175 181 184]\n",
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      "\n",
      " ...\n",
      "\n",
      " [[153 159 156]\n",
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      "\n",
      " [[197 200 201]\n",
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      "\n",
      " [[106 116 116]\n",
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      "  [ 10  14  25]\n",
      "  [ 24  36  44]]]\n",
      "[[[200 225 229]\n",
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      "\n",
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      "\n",
      " [[195 220 230]\n",
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      "  [135 184 224]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[188 184 169]\n",
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      "  [ 87 103 115]\n",
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      "\n",
      " [[153 147 147]\n",
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      "  [ 85 110 127]\n",
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      "\n",
      " [[222 213 209]\n",
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      "  [130 123 139]\n",
      "  ...\n",
      "  [104 136 167]\n",
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      "  [107 138 164]]]\n",
      "[[[255 239 205]\n",
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      "  ...\n",
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      "\n",
      " [[255 241 210]\n",
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      "\n",
      " [[255 244 211]\n",
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      "\n",
      " ...\n",
      "\n",
      " [[251 238 206]\n",
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      "  [ 71  74  81]\n",
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      "\n",
      " [[250 235 203]\n",
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      "  [ 89  96  98]\n",
      "  [ 92 101 103]\n",
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      "\n",
      " [[251 235 202]\n",
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      "  [100 107 110]\n",
      "  [ 99 108 111]\n",
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      "[[[217 212 210]\n",
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      "\n",
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      "\n",
      " [[213 210 208]\n",
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      "  [194 194 193]\n",
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      "\n",
      " ...\n",
      "\n",
      " [[232 231 235]\n",
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      "  [221 221 222]\n",
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      "  [153 166 181]\n",
      "  [175 181 187]\n",
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      "\n",
      " [[235 236 240]\n",
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      "  [220 222 225]\n",
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      "  [163 174 188]\n",
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      "\n",
      " [[236 235 237]\n",
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      "  [218 218 219]\n",
      "  ...\n",
      "  [164 175 189]\n",
      "  [181 189 199]\n",
      "  [188 195 203]]]\n",
      "[[[156 158 158]\n",
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      "  [156 158 158]\n",
      "  ...\n",
      "  [ 53  57  62]\n",
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      "\n",
      " [[155 157 157]\n",
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      "  [ 41  45  50]\n",
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      "\n",
      " [[156 158 158]\n",
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      "  ...\n",
      "  [ 87  91  96]\n",
      "  [111 115 120]\n",
      "  [ 63  67  71]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[213 213 213]\n",
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      "\n",
      " [[214 214 214]\n",
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      "\n",
      " [[213 213 213]\n",
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      "  [169 173 174]\n",
      "  [165 169 170]\n",
      "  [165 170 171]]]\n",
      "[[[186 188 176]\n",
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      "  ...\n",
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      "\n",
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      "\n",
      " [[183 187 175]\n",
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      "\n",
      " ...\n",
      "\n",
      " [[158 169 159]\n",
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      "\n",
      " [[142 153 142]\n",
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      "\n",
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      "[[[152 182 185]\n",
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      "\n",
      " [[151 180 184]\n",
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      "\n",
      " [[151 181 185]\n",
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      "  [151 180 184]\n",
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      "  [189 203 202]\n",
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      "  [191 201 202]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[134 164 170]\n",
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      "  [132 163 169]\n",
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      "  [112 143 157]\n",
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      "\n",
      " [[130 161 167]\n",
      "  [129 158 167]\n",
      "  [131 162 168]\n",
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      "  [124 152 166]\n",
      "  [136 163 171]\n",
      "  [ 97 132 150]]\n",
      "\n",
      " [[125 156 164]\n",
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      "  ...\n",
      "  [121 151 165]\n",
      "  [122 152 164]\n",
      "  [ 99 134 148]]]\n",
      "[[[ 79 110 149]\n",
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      "  [ 81 116 161]\n",
      "  ...\n",
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      "\n",
      " [[ 79 110 149]\n",
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      "  [ 80 115 160]\n",
      "  ...\n",
      "  [110 147 164]\n",
      "  [115 149 169]\n",
      "  [114 155 178]]\n",
      "\n",
      " [[ 76 107 146]\n",
      "  [ 80 114 157]\n",
      "  [ 79 115 160]\n",
      "  ...\n",
      "  [104 142 160]\n",
      "  [121 154 174]\n",
      "  [117 158 181]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 73 110 150]\n",
      "  [ 75 111 151]\n",
      "  [ 74 109 149]\n",
      "  ...\n",
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      "  [135 176 199]\n",
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      "\n",
      " [[ 74 110 150]\n",
      "  [ 73 109 149]\n",
      "  [ 75 111 151]\n",
      "  ...\n",
      "  [144 182 202]\n",
      "  [140 181 204]\n",
      "  [137 178 201]]\n",
      "\n",
      " [[ 74 110 150]\n",
      "  [ 73 109 149]\n",
      "  [ 76 112 152]\n",
      "  ...\n",
      "  [139 180 202]\n",
      "  [138 180 203]\n",
      "  [135 176 199]]]\n",
      "[[[ 65  88 102]\n",
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      "  [ 68  92 113]\n",
      "  ...\n",
      "  [  1   1   1]\n",
      "  [  4   4   4]\n",
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      "\n",
      " [[ 61  81 106]\n",
      "  [ 73  93 118]\n",
      "  [ 72  93 116]\n",
      "  ...\n",
      "  [  7   7   7]\n",
      "  [  7   7   7]\n",
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      "\n",
      " [[ 57  79 104]\n",
      "  [ 68  90 113]\n",
      "  [ 72  95 115]\n",
      "  ...\n",
      "  [  6   6   6]\n",
      "  [  4   4   4]\n",
      "  [  8   8   8]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[  8  10  10]\n",
      "  [  2   4   4]\n",
      "  [  6   8   8]\n",
      "  ...\n",
      "  [  4   4   4]\n",
      "  [  4   4   4]\n",
      "  [  1   1   1]]\n",
      "\n",
      " [[  0   2   2]\n",
      "  [  4   6   6]\n",
      "  [ 11  13  13]\n",
      "  ...\n",
      "  [  3   3   3]\n",
      "  [  1   1   1]\n",
      "  [  3   3   3]]\n",
      "\n",
      " [[  7   9   9]\n",
      "  [  3   5   5]\n",
      "  [  7   9   9]\n",
      "  ...\n",
      "  [  4   4   4]\n",
      "  [  1   1   1]\n",
      "  [  1   1   1]]]\n",
      "[[[145 153 164]\n",
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      "  [143 152 163]\n",
      "  ...\n",
      "  [158 169 177]\n",
      "  [158 170 179]\n",
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      "\n",
      " [[145 153 166]\n",
      "  [145 152 165]\n",
      "  [144 153 165]\n",
      "  ...\n",
      "  [160 169 179]\n",
      "  [160 169 179]\n",
      "  [159 169 178]]\n",
      "\n",
      " [[145 154 167]\n",
      "  [145 152 167]\n",
      "  [145 153 165]\n",
      "  ...\n",
      "  [160 170 178]\n",
      "  [159 170 179]\n",
      "  [159 168 180]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[177 190 202]\n",
      "  [173 190 202]\n",
      "  [176 192 203]\n",
      "  ...\n",
      "  [120 143 155]\n",
      "  [125 142 158]\n",
      "  [127 145 160]]\n",
      "\n",
      " [[193 205 210]\n",
      "  [191 204 211]\n",
      "  [183 197 206]\n",
      "  ...\n",
      "  [124 141 156]\n",
      "  [126 142 158]\n",
      "  [128 144 158]]\n",
      "\n",
      " [[178 193 207]\n",
      "  [174 192 205]\n",
      "  [171 189 201]\n",
      "  ...\n",
      "  [123 139 155]\n",
      "  [126 141 156]\n",
      "  [128 143 157]]]\n",
      "[[[ 77  86 113]\n",
      "  [ 82  91 118]\n",
      "  [ 91 100 127]\n",
      "  ...\n",
      "  [144 153 163]\n",
      "  [144 154 164]\n",
      "  [143 153 163]]\n",
      "\n",
      " [[ 83  92 119]\n",
      "  [ 86  95 122]\n",
      "  [ 90  99 126]\n",
      "  ...\n",
      "  [149 158 168]\n",
      "  [148 158 168]\n",
      "  [147 157 167]]\n",
      "\n",
      " [[ 92 101 128]\n",
      "  [ 89  98 125]\n",
      "  [104 110 138]\n",
      "  ...\n",
      "  [147 157 168]\n",
      "  [149 159 169]\n",
      "  [149 159 169]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 19  26  40]\n",
      "  [ 25  28  42]\n",
      "  [ 19  21  33]\n",
      "  ...\n",
      "  [ 28  51  93]\n",
      "  [ 29  51  93]\n",
      "  [ 36  58 100]]\n",
      "\n",
      " [[ 27  34  47]\n",
      "  [  0   2  17]\n",
      "  [  0   1  13]\n",
      "  ...\n",
      "  [ 26  46  88]\n",
      "  [ 21  43  85]\n",
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      "\n",
      " [[ 29  30  44]\n",
      "  [  7   8  22]\n",
      "  [  0   0  12]\n",
      "  ...\n",
      "  [ 22  38  75]\n",
      "  [ 24  42  81]\n",
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      "[[[179  96  35]\n",
      "  [174  93  32]\n",
      "  [180  99  39]\n",
      "  ...\n",
      "  [141 115 104]\n",
      "  [142 115 102]\n",
      "  [146 119 105]]\n",
      "\n",
      " [[177  96  34]\n",
      "  [174  93  32]\n",
      "  [178  98  37]\n",
      "  ...\n",
      "  [152 130 119]\n",
      "  [155 133 118]\n",
      "  [154 131 116]]\n",
      "\n",
      " [[177  96  34]\n",
      "  [176  96  33]\n",
      "  [177  97  33]\n",
      "  ...\n",
      "  [164 146 134]\n",
      "  [163 145 132]\n",
      "  [164 144 129]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[106  81  95]\n",
      "  [102  82  95]\n",
      "  [103  84  99]\n",
      "  ...\n",
      "  [ 77  52  81]\n",
      "  [ 72  47  75]\n",
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      "\n",
      " [[103  80  94]\n",
      "  [106  85 100]\n",
      "  [107  87 105]\n",
      "  ...\n",
      "  [ 79  54  80]\n",
      "  [ 72  47  73]\n",
      "  [ 67  45  70]]\n",
      "\n",
      " [[108  85 100]\n",
      "  [113  92 109]\n",
      "  [109  89 109]\n",
      "  ...\n",
      "  [ 68  45  71]\n",
      "  [ 72  47  76]\n",
      "  [ 73  49  79]]]\n",
      "[[[189 199 205]\n",
      "  [189 199 206]\n",
      "  [188 198 205]\n",
      "  ...\n",
      "  [185 197 205]\n",
      "  [186 197 205]\n",
      "  [186 197 205]]\n",
      "\n",
      " [[139 157 168]\n",
      "  [139 156 169]\n",
      "  [138 155 168]\n",
      "  ...\n",
      "  [132 153 168]\n",
      "  [133 153 168]\n",
      "  [134 153 168]]\n",
      "\n",
      " [[139 157 168]\n",
      "  [139 156 169]\n",
      "  [138 155 168]\n",
      "  ...\n",
      "  [133 154 169]\n",
      "  [134 154 169]\n",
      "  [135 154 169]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[136 145 155]\n",
      "  [137 144 157]\n",
      "  [135 143 155]\n",
      "  ...\n",
      "  [132 154 171]\n",
      "  [132 155 172]\n",
      "  [135 154 171]]\n",
      "\n",
      " [[136 145 155]\n",
      "  [135 143 156]\n",
      "  [135 143 156]\n",
      "  ...\n",
      "  [132 153 171]\n",
      "  [132 154 171]\n",
      "  [133 154 171]]\n",
      "\n",
      " [[135 144 154]\n",
      "  [134 142 155]\n",
      "  [134 142 155]\n",
      "  ...\n",
      "  [132 154 172]\n",
      "  [131 154 171]\n",
      "  [133 153 171]]]\n",
      "[[[ 52  69  72]\n",
      "  [ 52  69  72]\n",
      "  [ 51  68  71]\n",
      "  ...\n",
      "  [120 189 202]\n",
      "  [107 179 191]\n",
      "  [ 89 165 177]]\n",
      "\n",
      " [[ 52  69  72]\n",
      "  [ 52  69  72]\n",
      "  [ 52  69  72]\n",
      "  ...\n",
      "  [123 193 206]\n",
      "  [112 184 196]\n",
      "  [ 86 162 174]]\n",
      "\n",
      " [[ 52  69  72]\n",
      "  [ 52  69  72]\n",
      "  [ 54  71  74]\n",
      "  ...\n",
      "  [121 190 203]\n",
      "  [105 177 189]\n",
      "  [ 89 165 177]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[  3  24  54]\n",
      "  [  0  23  56]\n",
      "  [  1  31  66]\n",
      "  ...\n",
      "  [ 67 136 153]\n",
      "  [ 80 146 164]\n",
      "  [ 70 134 152]]\n",
      "\n",
      " [[  9  36  68]\n",
      "  [  3  31  66]\n",
      "  [  4  33  69]\n",
      "  ...\n",
      "  [ 73 143 159]\n",
      "  [ 74 140 158]\n",
      "  [ 67 131 149]]\n",
      "\n",
      " [[  4  35  68]\n",
      "  [  3  30  67]\n",
      "  [  8  36  73]\n",
      "  ...\n",
      "  [ 67 136 153]\n",
      "  [ 66 133 151]\n",
      "  [ 74 138 156]]]\n",
      "[[[  5   2   4]\n",
      "  [  3   2   4]\n",
      "  [  4   6   7]\n",
      "  ...\n",
      "  [208 211 215]\n",
      "  [209 212 216]\n",
      "  [213 217 221]]\n",
      "\n",
      " [[  5   2   4]\n",
      "  [  3   2   4]\n",
      "  [  4   6   7]\n",
      "  ...\n",
      "  [210 212 214]\n",
      "  [210 212 214]\n",
      "  [223 225 226]]\n",
      "\n",
      " [[  5   2   4]\n",
      "  [  3   2   4]\n",
      "  [  4   6   7]\n",
      "  ...\n",
      "  [209 211 212]\n",
      "  [225 226 227]\n",
      "  [226 228 229]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[151 172 194]\n",
      "  [149 170 192]\n",
      "  [150 171 192]\n",
      "  ...\n",
      "  [230 233 238]\n",
      "  [223 230 238]\n",
      "  [200 209 221]]\n",
      "\n",
      " [[152 173 194]\n",
      "  [150 171 192]\n",
      "  [150 171 192]\n",
      "  ...\n",
      "  [233 236 241]\n",
      "  [230 234 239]\n",
      "  [226 234 238]]\n",
      "\n",
      " [[151 170 191]\n",
      "  [149 168 189]\n",
      "  [153 172 193]\n",
      "  ...\n",
      "  [234 236 244]\n",
      "  [234 238 242]\n",
      "  [232 237 236]]]\n",
      "[[[170 171 175]\n",
      "  [171 172 176]\n",
      "  [173 174 178]\n",
      "  ...\n",
      "  [184 183 184]\n",
      "  [182 181 183]\n",
      "  [180 179 181]]\n",
      "\n",
      " [[170 171 175]\n",
      "  [172 173 177]\n",
      "  [172 173 177]\n",
      "  ...\n",
      "  [185 184 186]\n",
      "  [184 182 184]\n",
      "  [182 181 183]]\n",
      "\n",
      " [[171 173 177]\n",
      "  [173 174 178]\n",
      "  [174 175 179]\n",
      "  ...\n",
      "  [186 185 187]\n",
      "  [184 183 185]\n",
      "  [183 182 183]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[134 141 150]\n",
      "  [163 170 179]\n",
      "  [160 167 176]\n",
      "  ...\n",
      "  [ 86  92 108]\n",
      "  [ 94 100 113]\n",
      "  [101 104 118]]\n",
      "\n",
      " [[137 146 155]\n",
      "  [159 168 177]\n",
      "  [160 169 178]\n",
      "  ...\n",
      "  [ 84  91 106]\n",
      "  [ 92  98 110]\n",
      "  [100 104 115]]\n",
      "\n",
      " [[234 234 234]\n",
      "  [234 234 234]\n",
      "  [234 234 234]\n",
      "  ...\n",
      "  [234 234 234]\n",
      "  [234 234 234]\n",
      "  [234 234 234]]]\n",
      "[[[ 59  90 114]\n",
      "  [ 60  96 140]\n",
      "  [115 173 210]\n",
      "  ...\n",
      "  [ 88 104 116]\n",
      "  [134 149 166]\n",
      "  [143 159 172]]\n",
      "\n",
      " [[ 61  88 109]\n",
      "  [ 61  97 141]\n",
      "  [115 172 215]\n",
      "  ...\n",
      "  [ 86 102 115]\n",
      "  [137 150 168]\n",
      "  [142 158 171]]\n",
      "\n",
      " [[ 65  87 106]\n",
      "  [ 63  96 143]\n",
      "  [116 172 219]\n",
      "  ...\n",
      "  [ 91 107 120]\n",
      "  [135 149 166]\n",
      "  [154 170 182]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 71 101 127]\n",
      "  [ 57  89 118]\n",
      "  [ 55  88 117]\n",
      "  ...\n",
      "  [129 139 148]\n",
      "  [131 141 151]\n",
      "  [123 133 143]]\n",
      "\n",
      " [[ 52  83 106]\n",
      "  [ 54  87 113]\n",
      "  [ 56  89 118]\n",
      "  ...\n",
      "  [124 134 143]\n",
      "  [127 137 147]\n",
      "  [125 135 145]]\n",
      "\n",
      " [[ 51  82 103]\n",
      "  [ 51  85 109]\n",
      "  [ 64  98 125]\n",
      "  ...\n",
      "  [133 144 153]\n",
      "  [121 131 141]\n",
      "  [127 137 147]]]\n",
      "[[[  7  10   8]\n",
      "  [  6  10   8]\n",
      "  [  6  11  10]\n",
      "  ...\n",
      "  [  2   4   4]\n",
      "  [  2   5   5]\n",
      "  [  2   4   4]]\n",
      "\n",
      " [[  6   9   7]\n",
      "  [  6   9   7]\n",
      "  [  7   9   9]\n",
      "  ...\n",
      "  [  3   5   5]\n",
      "  [  2   4   4]\n",
      "  [  1   3   3]]\n",
      "\n",
      " [[  6   9   8]\n",
      "  [  6   8   8]\n",
      "  [  8   9   9]\n",
      "  ...\n",
      "  [  2   3   3]\n",
      "  [  2   4   4]\n",
      "  [  2   4   4]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 24 104  81]\n",
      "  [ 26 105  83]\n",
      "  [ 26 106  84]\n",
      "  ...\n",
      "  [ 20  86  62]\n",
      "  [ 21  87  66]\n",
      "  [ 28  93  72]]\n",
      "\n",
      " [[ 25 107  85]\n",
      "  [ 24 105  84]\n",
      "  [ 31 110  89]\n",
      "  ...\n",
      "  [ 18  86  63]\n",
      "  [ 19  90  67]\n",
      "  [ 20  92  69]]\n",
      "\n",
      " [[ 27 110  88]\n",
      "  [ 29 110  90]\n",
      "  [ 30 111  91]\n",
      "  ...\n",
      "  [ 13  83  60]\n",
      "  [ 17  90  65]\n",
      "  [ 16  89  63]]]\n",
      "[[[121 129 136]\n",
      "  [121 129 136]\n",
      "  [119 127 134]\n",
      "  ...\n",
      "  [175 169 170]\n",
      "  [164 161 161]\n",
      "  [163 161 161]]\n",
      "\n",
      " [[110 118 125]\n",
      "  [114 122 129]\n",
      "  [115 123 130]\n",
      "  ...\n",
      "  [169 164 165]\n",
      "  [170 167 167]\n",
      "  [170 168 168]]\n",
      "\n",
      " [[120 128 135]\n",
      "  [117 125 132]\n",
      "  [116 124 131]\n",
      "  ...\n",
      "  [170 167 168]\n",
      "  [170 168 168]\n",
      "  [170 168 168]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 97 112 115]\n",
      "  [103 118 121]\n",
      "  [104 119 122]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [254 254 254]]\n",
      "\n",
      " [[105 119 124]\n",
      "  [100 114 120]\n",
      "  [101 116 122]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [254 254 254]]\n",
      "\n",
      " [[ 99 113 119]\n",
      "  [ 98 112 119]\n",
      "  [ 96 111 119]\n",
      "  ...\n",
      "  [252 252 252]\n",
      "  [252 252 252]\n",
      "  [251 251 251]]]\n",
      "[[[174 202 221]\n",
      "  [202 226 243]\n",
      "  [201 224 240]\n",
      "  ...\n",
      "  [172 203 224]\n",
      "  [169 200 221]\n",
      "  [168 199 220]]\n",
      "\n",
      " [[170 201 222]\n",
      "  [173 202 223]\n",
      "  [201 225 243]\n",
      "  ...\n",
      "  [170 201 222]\n",
      "  [169 200 221]\n",
      "  [167 198 219]]\n",
      "\n",
      " [[169 200 221]\n",
      "  [170 200 221]\n",
      "  [184 210 230]\n",
      "  ...\n",
      "  [169 200 221]\n",
      "  [169 200 221]\n",
      "  [167 198 221]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[  8  12  17]\n",
      "  [ 10  15  19]\n",
      "  [ 21  31  38]\n",
      "  ...\n",
      "  [ 38  55  64]\n",
      "  [ 38  54  63]\n",
      "  [ 24  38  47]]\n",
      "\n",
      " [[ 13  21  24]\n",
      "  [ 26  37  45]\n",
      "  [ 30  46  54]\n",
      "  ...\n",
      "  [ 37  55  63]\n",
      "  [ 35  52  61]\n",
      "  [ 37  54  63]]\n",
      "\n",
      " [[ 30  43  52]\n",
      "  [ 34  50  59]\n",
      "  [ 39  55  66]\n",
      "  ...\n",
      "  [ 36  53  62]\n",
      "  [ 33  52  60]\n",
      "  [ 34  54  62]]]\n",
      "[[[ 1  2  2]\n",
      "  [ 9 11  9]\n",
      "  [ 9 12 12]\n",
      "  ...\n",
      "  [ 0  4  3]\n",
      "  [ 0  4  3]\n",
      "  [ 2  2  2]]\n",
      "\n",
      " [[ 1  1  1]\n",
      "  [ 3  4  4]\n",
      "  [26 31 29]\n",
      "  ...\n",
      "  [ 1  6  5]\n",
      "  [ 1  3  3]\n",
      "  [ 3  3  3]]\n",
      "\n",
      " [[ 2  2  2]\n",
      "  [ 1  2  2]\n",
      "  [ 6 10  6]\n",
      "  ...\n",
      "  [ 2  4  4]\n",
      "  [ 1  3  3]\n",
      "  [ 2  2  2]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 4  5  3]\n",
      "  [ 1  5  5]\n",
      "  [ 1  5  3]\n",
      "  ...\n",
      "  [49 46 42]\n",
      "  [46 45 42]\n",
      "  [43 42 32]]\n",
      "\n",
      " [[ 5  6  4]\n",
      "  [ 2  6  4]\n",
      "  [ 2  4  4]\n",
      "  ...\n",
      "  [51 47 46]\n",
      "  [44 44 36]\n",
      "  [47 47 33]]\n",
      "\n",
      " [[ 6  8  3]\n",
      "  [ 2  4  3]\n",
      "  [ 1  6  5]\n",
      "  ...\n",
      "  [51 48 44]\n",
      "  [42 40 34]\n",
      "  [47 46 36]]]\n",
      "[[[206 204 195]\n",
      "  [174 173 164]\n",
      "  [203 201 192]\n",
      "  ...\n",
      "  [218 220 213]\n",
      "  [215 218 210]\n",
      "  [213 215 208]]\n",
      "\n",
      " [[201 199 190]\n",
      "  [205 204 195]\n",
      "  [166 164 155]\n",
      "  ...\n",
      "  [215 218 211]\n",
      "  [214 217 209]\n",
      "  [217 219 212]]\n",
      "\n",
      " [[203 201 192]\n",
      "  [204 203 194]\n",
      "  [204 203 194]\n",
      "  ...\n",
      "  [213 216 209]\n",
      "  [216 219 212]\n",
      "  [216 219 212]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[251 247 245]\n",
      "  [251 247 245]\n",
      "  [251 247 245]\n",
      "  ...\n",
      "  [200 212 237]\n",
      "  [190 202 229]\n",
      "  [187 198 226]]\n",
      "\n",
      " [[251 247 245]\n",
      "  [251 247 245]\n",
      "  [251 247 245]\n",
      "  ...\n",
      "  [201 215 233]\n",
      "  [200 213 234]\n",
      "  [193 205 230]]\n",
      "\n",
      " [[251 247 245]\n",
      "  [251 247 245]\n",
      "  [251 247 245]\n",
      "  ...\n",
      "  [203 215 232]\n",
      "  [202 214 235]\n",
      "  [201 213 235]]]\n",
      "[[[110 120 137]\n",
      "  [112 122 139]\n",
      "  [109 123 140]\n",
      "  ...\n",
      "  [ 56  74  92]\n",
      "  [ 49  74  90]\n",
      "  [ 60  80  97]]\n",
      "\n",
      " [[113 123 140]\n",
      "  [112 122 139]\n",
      "  [110 123 140]\n",
      "  ...\n",
      "  [ 56  73  91]\n",
      "  [ 51  76  92]\n",
      "  [ 60  80  97]]\n",
      "\n",
      " [[113 123 140]\n",
      "  [112 122 139]\n",
      "  [112 123 140]\n",
      "  ...\n",
      "  [ 56  74  92]\n",
      "  [ 50  75  91]\n",
      "  [ 60  80  97]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 48  50  51]\n",
      "  [ 48  50  51]\n",
      "  [ 46  49  50]\n",
      "  ...\n",
      "  [ 66  78  92]\n",
      "  [ 69  81  93]\n",
      "  [ 68  80  92]]\n",
      "\n",
      " [[ 49  51  52]\n",
      "  [ 51  53  54]\n",
      "  [ 53  56  57]\n",
      "  ...\n",
      "  [ 64  76  90]\n",
      "  [ 70  82  94]\n",
      "  [ 68  80  92]]\n",
      "\n",
      " [[ 52  54  54]\n",
      "  [ 45  47  48]\n",
      "  [ 47  50  52]\n",
      "  ...\n",
      "  [ 64  76  90]\n",
      "  [ 70  82  94]\n",
      "  [ 65  77  89]]]\n",
      "[[[  0   0   0]\n",
      "  [  2   2   2]\n",
      "  [213 218 227]\n",
      "  ...\n",
      "  [213 217 222]\n",
      "  [  2   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[  0   0   0]\n",
      "  [  2   2   2]\n",
      "  [214 219 227]\n",
      "  ...\n",
      "  [213 217 222]\n",
      "  [  2   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[  0   0   0]\n",
      "  [  1   1   1]\n",
      "  [215 220 228]\n",
      "  ...\n",
      "  [217 221 226]\n",
      "  [  2   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[  5   1   0]\n",
      "  [  0   0   0]\n",
      "  [ 31  68 113]\n",
      "  ...\n",
      "  [146 152 160]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[  5   1   0]\n",
      "  [  2   2   2]\n",
      "  [ 29  67 111]\n",
      "  ...\n",
      "  [143 150 158]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[  5   0   0]\n",
      "  [  2   2   2]\n",
      "  [ 31  69 113]\n",
      "  ...\n",
      "  [142 152 160]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]]\n",
      "[[[192 195 200]\n",
      "  [189 193 198]\n",
      "  [114 133 151]\n",
      "  ...\n",
      "  [171 176 181]\n",
      "  [164 171 178]\n",
      "  [166 172 179]]\n",
      "\n",
      " [[192 196 200]\n",
      "  [172 179 186]\n",
      "  [ 74 110 150]\n",
      "  ...\n",
      "  [170 176 181]\n",
      "  [163 171 178]\n",
      "  [165 172 179]]\n",
      "\n",
      " [[189 193 199]\n",
      "  [ 79 115 155]\n",
      "  [ 81 116 156]\n",
      "  ...\n",
      "  [168 174 180]\n",
      "  [163 170 177]\n",
      "  [168 174 180]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 71 107 147]\n",
      "  [ 73 109 161]\n",
      "  [ 70 106 155]\n",
      "  ...\n",
      "  [ 86 121 161]\n",
      "  [ 90 126 165]\n",
      "  [156 175 217]]\n",
      "\n",
      " [[ 76 112 152]\n",
      "  [ 72 108 151]\n",
      "  [ 78 114 156]\n",
      "  ...\n",
      "  [ 90 126 166]\n",
      "  [ 89 126 169]\n",
      "  [ 91 128 168]]\n",
      "\n",
      " [[ 71 106 155]\n",
      "  [ 71 106 152]\n",
      "  [ 68 104 155]\n",
      "  ...\n",
      "  [ 96 135 174]\n",
      "  [ 96 135 174]\n",
      "  [ 91 129 168]]]\n",
      "[[[198 198 198]\n",
      "  [198 198 198]\n",
      "  [198 198 198]\n",
      "  ...\n",
      "  [203 203 203]\n",
      "  [203 203 203]\n",
      "  [202 202 202]]\n",
      "\n",
      " [[198 198 198]\n",
      "  [198 198 198]\n",
      "  [198 198 198]\n",
      "  ...\n",
      "  [203 203 203]\n",
      "  [203 203 203]\n",
      "  [202 202 202]]\n",
      "\n",
      " [[198 198 198]\n",
      "  [198 198 198]\n",
      "  [198 198 198]\n",
      "  ...\n",
      "  [203 203 203]\n",
      "  [203 203 203]\n",
      "  [202 202 202]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 56  46  48]\n",
      "  [132 123 123]\n",
      "  [123 115 111]\n",
      "  ...\n",
      "  [135 135 140]\n",
      "  [120 120 125]\n",
      "  [ 94  97 104]]\n",
      "\n",
      " [[ 36  27  29]\n",
      "  [107  97  95]\n",
      "  [153 145 138]\n",
      "  ...\n",
      "  [152 150 155]\n",
      "  [160 158 165]\n",
      "  [ 18  24  33]]\n",
      "\n",
      " [[ 32  27  24]\n",
      "  [ 73  62  58]\n",
      "  [ 88  80  72]\n",
      "  ...\n",
      "  [144 143 145]\n",
      "  [147 146 148]\n",
      "  [ 15  18  26]]]\n",
      "[[[176 179 179]\n",
      "  [194 197 195]\n",
      "  [204 208 202]\n",
      "  ...\n",
      "  [253 240 232]\n",
      "  [255 243 241]\n",
      "  [237 225 225]]\n",
      "\n",
      " [[205 208 206]\n",
      "  [175 178 176]\n",
      "  [202 206 201]\n",
      "  ...\n",
      "  [253 240 232]\n",
      "  [254 241 239]\n",
      "  [236 224 224]]\n",
      "\n",
      " [[153 157 152]\n",
      "  [137 141 136]\n",
      "  [173 177 174]\n",
      "  ...\n",
      "  [253 240 232]\n",
      "  [254 241 239]\n",
      "  [236 224 224]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 24  44  42]\n",
      "  [ 32  52  47]\n",
      "  [ 25  47  44]\n",
      "  ...\n",
      "  [238 214 208]\n",
      "  [233 217 211]\n",
      "  [223 208 206]]\n",
      "\n",
      " [[ 18  37  34]\n",
      "  [ 22  42  37]\n",
      "  [ 34  55  52]\n",
      "  ...\n",
      "  [238 214 208]\n",
      "  [233 217 211]\n",
      "  [223 208 206]]\n",
      "\n",
      " [[ 18  33  31]\n",
      "  [ 27  50  45]\n",
      "  [ 23  41  38]\n",
      "  ...\n",
      "  [238 214 208]\n",
      "  [231 215 209]\n",
      "  [222 207 205]]]\n",
      "[[[ 20 114 155]\n",
      "  [ 38 133 172]\n",
      "  [ 36 129 168]\n",
      "  ...\n",
      "  [121 137 154]\n",
      "  [124 140 157]\n",
      "  [122 138 155]]\n",
      "\n",
      " [[ 22 113 154]\n",
      "  [ 36 133 171]\n",
      "  [ 37 128 167]\n",
      "  ...\n",
      "  [128 144 161]\n",
      "  [124 140 157]\n",
      "  [122 138 154]]\n",
      "\n",
      " [[ 24 112 153]\n",
      "  [ 34 132 170]\n",
      "  [ 35 127 167]\n",
      "  ...\n",
      "  [123 139 156]\n",
      "  [121 137 154]\n",
      "  [123 139 156]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[118 129 143]\n",
      "  [109 120 134]\n",
      "  [121 132 146]\n",
      "  ...\n",
      "  [112 131 152]\n",
      "  [116 135 156]\n",
      "  [116 135 156]]\n",
      "\n",
      " [[118 129 143]\n",
      "  [105 116 130]\n",
      "  [116 127 141]\n",
      "  ...\n",
      "  [115 134 155]\n",
      "  [116 135 156]\n",
      "  [116 135 156]]\n",
      "\n",
      " [[108 119 133]\n",
      "  [118 129 143]\n",
      "  [124 135 149]\n",
      "  ...\n",
      "  [114 134 154]\n",
      "  [112 131 152]\n",
      "  [117 136 157]]]\n",
      "[[[199 201 201]\n",
      "  [199 201 201]\n",
      "  [199 201 201]\n",
      "  ...\n",
      "  [141 143 144]\n",
      "  [138 140 141]\n",
      "  [137 139 140]]\n",
      "\n",
      " [[199 201 201]\n",
      "  [199 201 201]\n",
      "  [199 201 201]\n",
      "  ...\n",
      "  [142 144 145]\n",
      "  [139 141 142]\n",
      "  [137 139 140]]\n",
      "\n",
      " [[198 200 200]\n",
      "  [198 201 201]\n",
      "  [200 202 202]\n",
      "  ...\n",
      "  [144 146 147]\n",
      "  [142 144 145]\n",
      "  [139 141 142]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[174 192 199]\n",
      "  [173 192 198]\n",
      "  [175 194 199]\n",
      "  ...\n",
      "  [ 14  15  13]\n",
      "  [ 13  14  12]\n",
      "  [ 13  14  12]]\n",
      "\n",
      " [[181 197 204]\n",
      "  [178 195 199]\n",
      "  [193 209 212]\n",
      "  ...\n",
      "  [ 12  13  11]\n",
      "  [ 11  12  10]\n",
      "  [ 11  12  10]]\n",
      "\n",
      " [[189 205 211]\n",
      "  [176 193 196]\n",
      "  [175 195 197]\n",
      "  ...\n",
      "  [  9  10   8]\n",
      "  [ 10  11  10]\n",
      "  [ 11  12  10]]]\n",
      "[[[ 92  96 101]\n",
      "  [ 94  98 103]\n",
      "  [ 94  98 103]\n",
      "  ...\n",
      "  [220 237 232]\n",
      "  [221 234 231]\n",
      "  [237 240 239]]\n",
      "\n",
      " [[ 92  96 101]\n",
      "  [ 94  98 103]\n",
      "  [ 94  98 103]\n",
      "  ...\n",
      "  [231 247 242]\n",
      "  [221 238 234]\n",
      "  [239 253 250]]\n",
      "\n",
      " [[ 92  96 101]\n",
      "  [ 94  98 103]\n",
      "  [ 94  98 103]\n",
      "  ...\n",
      "  [221 242 236]\n",
      "  [211 231 227]\n",
      "  [214 228 226]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[122 131 144]\n",
      "  [101 110 123]\n",
      "  [124 133 146]\n",
      "  ...\n",
      "  [217 217 212]\n",
      "  [193 192 187]\n",
      "  [181 181 176]]\n",
      "\n",
      " [[122 132 145]\n",
      "  [ 98 107 121]\n",
      "  [120 129 142]\n",
      "  ...\n",
      "  [236 234 233]\n",
      "  [238 236 235]\n",
      "  [236 234 233]]\n",
      "\n",
      " [[121 130 143]\n",
      "  [ 90  99 112]\n",
      "  [122 131 144]\n",
      "  ...\n",
      "  [253 251 250]\n",
      "  [243 241 240]\n",
      "  [243 241 240]]]\n",
      "[[[ 38  74 216]\n",
      "  [ 29  81 169]\n",
      "  [ 96 169 224]\n",
      "  ...\n",
      "  [ 42 110 238]\n",
      "  [ 38 108 233]\n",
      "  [ 35 101 229]]\n",
      "\n",
      " [[ 18  46 200]\n",
      "  [ 19  57 158]\n",
      "  [127 182 246]\n",
      "  ...\n",
      "  [ 56 132 237]\n",
      "  [ 47 120 228]\n",
      "  [ 40 107 231]]\n",
      "\n",
      " [[ 29  63 216]\n",
      "  [ 13  46 156]\n",
      "  [110 148 231]\n",
      "  ...\n",
      "  [ 68 157 242]\n",
      "  [ 79 162 254]\n",
      "  [ 33 105 226]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[123  66  79]\n",
      "  [110  51  73]\n",
      "  [132  73 106]\n",
      "  ...\n",
      "  [143 131 207]\n",
      "  [158 145 219]\n",
      "  [139 126 200]]\n",
      "\n",
      " [[225 163 182]\n",
      "  [213 150 172]\n",
      "  [194 129 154]\n",
      "  ...\n",
      "  [113 103 181]\n",
      "  [143 132 212]\n",
      "  [122 111 191]]\n",
      "\n",
      " [[198 107  97]\n",
      "  [193 101  91]\n",
      "  [187  95  83]\n",
      "  ...\n",
      "  [140 135 213]\n",
      "  [103  99 178]\n",
      "  [148 144 223]]]\n",
      "[[[212 216 217]\n",
      "  [213 217 218]\n",
      "  [212 216 217]\n",
      "  ...\n",
      "  [180 185 188]\n",
      "  [181 186 189]\n",
      "  [183 188 191]]\n",
      "\n",
      " [[212 216 217]\n",
      "  [212 216 217]\n",
      "  [212 216 217]\n",
      "  ...\n",
      "  [180 185 188]\n",
      "  [180 185 188]\n",
      "  [182 187 190]]\n",
      "\n",
      " [[212 216 217]\n",
      "  [212 216 217]\n",
      "  [212 216 217]\n",
      "  ...\n",
      "  [180 185 188]\n",
      "  [180 185 188]\n",
      "  [183 188 191]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[164 178 184]\n",
      "  [163 177 183]\n",
      "  [163 177 183]\n",
      "  ...\n",
      "  [161 187 199]\n",
      "  [161 187 199]\n",
      "  [161 187 199]]\n",
      "\n",
      " [[164 178 184]\n",
      "  [163 176 183]\n",
      "  [161 175 181]\n",
      "  ...\n",
      "  [162 188 200]\n",
      "  [162 188 200]\n",
      "  [160 186 198]]\n",
      "\n",
      " [[165 179 185]\n",
      "  [163 177 183]\n",
      "  [161 175 181]\n",
      "  ...\n",
      "  [163 189 201]\n",
      "  [163 189 201]\n",
      "  [163 189 201]]]\n",
      "[[[188 202 221]\n",
      "  [188 202 221]\n",
      "  [187 201 220]\n",
      "  ...\n",
      "  [142 147 168]\n",
      "  [147 152 173]\n",
      "  [146 151 172]]\n",
      "\n",
      " [[190 201 221]\n",
      "  [190 201 221]\n",
      "  [189 200 220]\n",
      "  ...\n",
      "  [148 153 174]\n",
      "  [141 146 167]\n",
      "  [139 144 165]]\n",
      "\n",
      " [[173 182 202]\n",
      "  [171 180 200]\n",
      "  [177 186 206]\n",
      "  ...\n",
      "  [143 148 169]\n",
      "  [147 152 173]\n",
      "  [148 153 174]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 59  89 129]\n",
      "  [ 57  87 127]\n",
      "  [ 53  83 123]\n",
      "  ...\n",
      "  [ 21  39  80]\n",
      "  [ 24  45  83]\n",
      "  [ 15  36  74]]\n",
      "\n",
      " [[ 75 106 145]\n",
      "  [ 70 101 140]\n",
      "  [ 61  92 132]\n",
      "  ...\n",
      "  [  2  25  63]\n",
      "  [  8  28  69]\n",
      "  [  4  24  65]]\n",
      "\n",
      " [[ 68 106 141]\n",
      "  [ 68 106 141]\n",
      "  [ 69 107 142]\n",
      "  ...\n",
      "  [ 33  56  94]\n",
      "  [ 35  61  98]\n",
      "  [ 27  54  91]]]\n",
      "[[[ 27  73 101]\n",
      "  [ 35  73 105]\n",
      "  [ 32  73 105]\n",
      "  ...\n",
      "  [ 46  67  82]\n",
      "  [ 42  63  78]\n",
      "  [ 40  63  78]]\n",
      "\n",
      " [[ 28  72 101]\n",
      "  [ 33  71 103]\n",
      "  [ 29  70 102]\n",
      "  ...\n",
      "  [ 43  64  79]\n",
      "  [ 40  63  78]\n",
      "  [ 40  63  78]]\n",
      "\n",
      " [[ 29  71 100]\n",
      "  [ 31  69 101]\n",
      "  [ 27  68 100]\n",
      "  ...\n",
      "  [ 43  66  81]\n",
      "  [ 40  63  78]\n",
      "  [ 39  62  77]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 54  77 103]\n",
      "  [ 59  81 109]\n",
      "  [ 55  79 107]\n",
      "  ...\n",
      "  [ 49  73 103]\n",
      "  [ 40  65  95]\n",
      "  [ 49  73 103]]\n",
      "\n",
      " [[ 45  70  96]\n",
      "  [ 49  73  99]\n",
      "  [ 50  73  99]\n",
      "  ...\n",
      "  [ 48  72 102]\n",
      "  [ 54  75 106]\n",
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      "\n",
      " [[ 48  72  96]\n",
      "  [ 55  76 104]\n",
      "  [ 49  72  98]\n",
      "  ...\n",
      "  [ 50  73 106]\n",
      "  [ 45  68 100]\n",
      "  [ 40  64  94]]]\n",
      "[[[  5  99  75]\n",
      "  [ 17  99  77]\n",
      "  [ 21 100  79]\n",
      "  ...\n",
      "  [ 80 119  98]\n",
      "  [ 79 114  94]\n",
      "  [ 80 110  91]]\n",
      "\n",
      " [[  9 100  77]\n",
      "  [ 16  99  77]\n",
      "  [ 19 101  79]\n",
      "  ...\n",
      "  [ 80 121 100]\n",
      "  [ 81 116  96]\n",
      "  [ 81 111  92]]\n",
      "\n",
      " [[ 11  99  76]\n",
      "  [ 16  99  77]\n",
      "  [ 31 106  85]\n",
      "  ...\n",
      "  [ 81 122 101]\n",
      "  [ 82 119  99]\n",
      "  [ 81 113  94]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 76  75  71]\n",
      "  [ 76  75  71]\n",
      "  [ 72  71  67]\n",
      "  ...\n",
      "  [ 65  64  53]\n",
      "  [ 58  56  45]\n",
      "  [ 55  51  40]]\n",
      "\n",
      " [[ 76  75  71]\n",
      "  [ 77  75  71]\n",
      "  [ 74  73  69]\n",
      "  ...\n",
      "  [105 102  96]\n",
      "  [ 59  58  46]\n",
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      "\n",
      " [[ 75  74  70]\n",
      "  [ 74  74  69]\n",
      "  [ 75  74  70]\n",
      "  ...\n",
      "  [175 172 170]\n",
      "  [ 61  59  46]\n",
      "  [ 57  53  42]]]\n",
      "[[[100 148 179]\n",
      "  [105 152 181]\n",
      "  [110 159 189]\n",
      "  ...\n",
      "  [211 209 208]\n",
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      "\n",
      " [[108 157 187]\n",
      "  [111 159 188]\n",
      "  [112 161 189]\n",
      "  ...\n",
      "  [211 209 208]\n",
      "  [209 208 207]\n",
      "  [209 207 206]]\n",
      "\n",
      " [[ 99 145 176]\n",
      "  [ 98 145 177]\n",
      "  [102 149 181]\n",
      "  ...\n",
      "  [210 208 207]\n",
      "  [209 207 206]\n",
      "  [209 207 206]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 62  92 123]\n",
      "  [ 64  93 124]\n",
      "  [ 65  96 129]\n",
      "  ...\n",
      "  [222 229 232]\n",
      "  [221 227 230]\n",
      "  [219 226 229]]\n",
      "\n",
      " [[ 64  93 124]\n",
      "  [ 66  94 128]\n",
      "  [ 64  95 127]\n",
      "  ...\n",
      "  [222 229 233]\n",
      "  [219 227 229]\n",
      "  [217 224 227]]\n",
      "\n",
      " [[ 63  92 123]\n",
      "  [ 67  95 128]\n",
      "  [ 65  95 128]\n",
      "  ...\n",
      "  [226 232 235]\n",
      "  [218 225 229]\n",
      "  [219 224 229]]]\n",
      "[[[ 90  99 112]\n",
      "  [ 90  99 113]\n",
      "  [ 93 100 117]\n",
      "  ...\n",
      "  [ 69  74  82]\n",
      "  [ 79  85  92]\n",
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      "\n",
      " [[ 94 102 115]\n",
      "  [ 94 103 117]\n",
      "  [ 97 107 123]\n",
      "  ...\n",
      "  [ 72  77  84]\n",
      "  [ 83  89  96]\n",
      "  [ 99 105 112]]\n",
      "\n",
      " [[ 96 105 118]\n",
      "  [ 99 108 122]\n",
      "  [ 98 107 123]\n",
      "  ...\n",
      "  [ 77  82  89]\n",
      "  [ 90  96 103]\n",
      "  [100 106 113]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[100 119 140]\n",
      "  [114 122 136]\n",
      "  [ 54  55  65]\n",
      "  ...\n",
      "  [184 186 196]\n",
      "  [183 185 195]\n",
      "  [185 187 197]]\n",
      "\n",
      " [[101 115 135]\n",
      "  [ 13  17  26]\n",
      "  [117 123 132]\n",
      "  ...\n",
      "  [189 191 201]\n",
      "  [184 186 196]\n",
      "  [181 183 193]]\n",
      "\n",
      " [[106 112 127]\n",
      "  [ 68  74  80]\n",
      "  [114 128 136]\n",
      "  ...\n",
      "  [188 190 200]\n",
      "  [191 193 203]\n",
      "  [182 184 194]]]\n",
      "[[[136 150 168]\n",
      "  [133 147 165]\n",
      "  [133 147 165]\n",
      "  ...\n",
      "  [107 121 139]\n",
      "  [107 121 139]\n",
      "  [106 120 138]]\n",
      "\n",
      " [[133 147 165]\n",
      "  [133 147 165]\n",
      "  [133 147 165]\n",
      "  ...\n",
      "  [107 121 139]\n",
      "  [107 121 139]\n",
      "  [105 119 137]]\n",
      "\n",
      " [[133 147 165]\n",
      "  [134 148 166]\n",
      "  [133 149 166]\n",
      "  ...\n",
      "  [107 121 139]\n",
      "  [107 121 139]\n",
      "  [106 120 138]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 20  34  53]\n",
      "  [ 21  35  54]\n",
      "  [ 20  34  53]\n",
      "  ...\n",
      "  [ 82 100 117]\n",
      "  [ 81  99 117]\n",
      "  [ 81  99 116]]\n",
      "\n",
      " [[ 19  33  52]\n",
      "  [ 21  35  54]\n",
      "  [ 22  36  55]\n",
      "  ...\n",
      "  [ 86 102 118]\n",
      "  [ 85 101 117]\n",
      "  [ 83 101 118]]\n",
      "\n",
      " [[ 19  33  52]\n",
      "  [ 19  33  52]\n",
      "  [ 22  36  55]\n",
      "  ...\n",
      "  [ 87 103 119]\n",
      "  [ 86 102 118]\n",
      "  [ 86 102 118]]]\n",
      "[[[ 73  77  72]\n",
      "  [ 59  64  62]\n",
      "  [ 58  64  63]\n",
      "  ...\n",
      "  [ 64  74  74]\n",
      "  [ 64  72  71]\n",
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      "\n",
      " [[ 77  82  77]\n",
      "  [ 60  67  64]\n",
      "  [ 57  64  63]\n",
      "  ...\n",
      "  [ 68  78  78]\n",
      "  [ 65  74  73]\n",
      "  [ 74  79  78]]\n",
      "\n",
      " [[ 75  82  77]\n",
      "  [ 75  82  79]\n",
      "  [ 55  63  62]\n",
      "  ...\n",
      "  [ 62  70  69]\n",
      "  [ 65  76  74]\n",
      "  [ 67  73  72]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[106 109 113]\n",
      "  [ 96 101 106]\n",
      "  [104 110 115]\n",
      "  ...\n",
      "  [172 197 207]\n",
      "  [168 198 209]\n",
      "  [174 202 214]]\n",
      "\n",
      " [[106 109 113]\n",
      "  [119 123 128]\n",
      "  [106 112 118]\n",
      "  ...\n",
      "  [152 171 179]\n",
      "  [145 164 172]\n",
      "  [144 162 172]]\n",
      "\n",
      " [[114 118 119]\n",
      "  [112 117 120]\n",
      "  [108 114 120]\n",
      "  ...\n",
      "  [133 144 150]\n",
      "  [132 142 149]\n",
      "  [126 134 141]]]\n",
      "[[[222 177 126]\n",
      "  [221 176 125]\n",
      "  [222 177 126]\n",
      "  ...\n",
      "  [218 174 120]\n",
      "  [217 173 119]\n",
      "  [216 172 118]]\n",
      "\n",
      " [[222 177 126]\n",
      "  [221 176 125]\n",
      "  [223 178 127]\n",
      "  ...\n",
      "  [217 174 121]\n",
      "  [217 173 120]\n",
      "  [216 173 119]]\n",
      "\n",
      " [[222 177 126]\n",
      "  [221 176 125]\n",
      "  [224 179 128]\n",
      "  ...\n",
      "  [217 174 123]\n",
      "  [216 173 122]\n",
      "  [216 173 122]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[125 104  66]\n",
      "  [127 100  63]\n",
      "  [132 101  62]\n",
      "  ...\n",
      "  [138 101  63]\n",
      "  [146 104  66]\n",
      "  [151 106  68]]\n",
      "\n",
      " [[123  98  61]\n",
      "  [126  99  62]\n",
      "  [134 103  64]\n",
      "  ...\n",
      "  [154 118  82]\n",
      "  [152 114  76]\n",
      "  [152 111  70]]\n",
      "\n",
      " [[130  95  59]\n",
      "  [127  95  59]\n",
      "  [126  95  56]\n",
      "  ...\n",
      "  [123  92  56]\n",
      "  [131  97  59]\n",
      "  [138 103  60]]]\n",
      "[[[34 36 37]\n",
      "  [33 35 36]\n",
      "  [34 36 37]\n",
      "  ...\n",
      "  [36 52 81]\n",
      "  [37 51 80]\n",
      "  [36 47 77]]\n",
      "\n",
      " [[33 35 36]\n",
      "  [34 36 37]\n",
      "  [34 36 37]\n",
      "  ...\n",
      "  [38 52 81]\n",
      "  [36 50 79]\n",
      "  [36 47 77]]\n",
      "\n",
      " [[32 34 35]\n",
      "  [34 36 37]\n",
      "  [34 36 37]\n",
      "  ...\n",
      "  [37 51 80]\n",
      "  [36 47 77]\n",
      "  [37 47 77]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[55 53 45]\n",
      "  [54 51 46]\n",
      "  [97 55 38]\n",
      "  ...\n",
      "  [37 28 40]\n",
      "  [35 26 39]\n",
      "  [34 25 38]]\n",
      "\n",
      " [[54 51 48]\n",
      "  [52 52 48]\n",
      "  [78 47 33]\n",
      "  ...\n",
      "  [33 24 37]\n",
      "  [35 26 39]\n",
      "  [34 25 38]]\n",
      "\n",
      " [[54 49 49]\n",
      "  [51 52 50]\n",
      "  [69 48 38]\n",
      "  ...\n",
      "  [33 25 37]\n",
      "  [32 23 36]\n",
      "  [31 22 35]]]\n",
      "[[[233 248 244]\n",
      "  [221 245 237]\n",
      "  [212 244 234]\n",
      "  ...\n",
      "  [144 194 156]\n",
      "  [217 252 237]\n",
      "  [214 251 248]]\n",
      "\n",
      " [[231 249 240]\n",
      "  [218 241 228]\n",
      "  [206 237 220]\n",
      "  ...\n",
      "  [157 206 171]\n",
      "  [221 254 242]\n",
      "  [212 249 247]]\n",
      "\n",
      " [[230 248 236]\n",
      "  [215 239 223]\n",
      "  [198 228 207]\n",
      "  ...\n",
      "  [179 224 195]\n",
      "  [222 255 248]\n",
      "  [207 246 244]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 91 149  91]\n",
      "  [102 158  99]\n",
      "  [ 80 131  73]\n",
      "  ...\n",
      "  [117 185 133]\n",
      "  [112 178 126]\n",
      "  [118 181 131]]\n",
      "\n",
      " [[ 64 122  64]\n",
      "  [ 77 131  72]\n",
      "  [ 65 114  56]\n",
      "  ...\n",
      "  [122 189 138]\n",
      "  [109 175 123]\n",
      "  [108 171 121]]\n",
      "\n",
      " [[ 43 101  43]\n",
      "  [ 49 102  43]\n",
      "  [ 52  99  41]\n",
      "  ...\n",
      "  [120 186 137]\n",
      "  [111 177 125]\n",
      "  [108 171 121]]]\n",
      "[[[128 137 140]\n",
      "  [125 133 135]\n",
      "  [122 129 132]\n",
      "  ...\n",
      "  [170 172 172]\n",
      "  [170 172 172]\n",
      "  [165 170 170]]\n",
      "\n",
      " [[129 138 141]\n",
      "  [128 135 138]\n",
      "  [125 132 135]\n",
      "  ...\n",
      "  [173 175 175]\n",
      "  [172 174 174]\n",
      "  [170 174 175]]\n",
      "\n",
      " [[131 140 143]\n",
      "  [131 138 141]\n",
      "  [128 135 138]\n",
      "  ...\n",
      "  [175 177 177]\n",
      "  [174 176 176]\n",
      "  [171 175 176]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 32 134 240]\n",
      "  [ 32 134 240]\n",
      "  [ 32 134 240]\n",
      "  ...\n",
      "  [ 32 134 240]\n",
      "  [ 32 134 240]\n",
      "  [ 32 134 240]]\n",
      "\n",
      " [[ 32 134 240]\n",
      "  [ 32 134 240]\n",
      "  [ 32 134 240]\n",
      "  ...\n",
      "  [ 32 134 240]\n",
      "  [ 32 134 240]\n",
      "  [ 32 134 240]]\n",
      "\n",
      " [[ 32 134 240]\n",
      "  [ 32 134 240]\n",
      "  [ 32 134 240]\n",
      "  ...\n",
      "  [ 32 134 240]\n",
      "  [ 32 134 240]\n",
      "  [ 32 134 240]]]\n",
      "[[[ 76 116 174]\n",
      "  [ 76 116 174]\n",
      "  [ 77 117 175]\n",
      "  ...\n",
      "  [247 250 254]\n",
      "  [247 250 254]\n",
      "  [248 251 255]]\n",
      "\n",
      " [[ 76 116 174]\n",
      "  [ 76 116 174]\n",
      "  [ 77 117 175]\n",
      "  ...\n",
      "  [247 250 254]\n",
      "  [247 250 254]\n",
      "  [248 251 255]]\n",
      "\n",
      " [[ 77 117 175]\n",
      "  [ 77 117 175]\n",
      "  [ 78 118 176]\n",
      "  ...\n",
      "  [247 250 254]\n",
      "  [247 250 254]\n",
      "  [246 249 253]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 54  70  87]\n",
      "  [ 57  74  93]\n",
      "  [ 69  89 110]\n",
      "  ...\n",
      "  [ 11  47 116]\n",
      "  [  8  43 110]\n",
      "  [ 15  53 116]]\n",
      "\n",
      " [[ 65  83 100]\n",
      "  [ 54  74  92]\n",
      "  [ 50  71  93]\n",
      "  ...\n",
      "  [ 16  54 129]\n",
      "  [ 19  56 126]\n",
      "  [ 12  52 124]]\n",
      "\n",
      " [[ 53  75  93]\n",
      "  [ 67  84 105]\n",
      "  [ 48  67  91]\n",
      "  ...\n",
      "  [ 18  59 134]\n",
      "  [ 19  57 130]\n",
      "  [ 15  55 130]]]\n",
      "[[[135 124 116]\n",
      "  [101  99  91]\n",
      "  [ 75  81  74]\n",
      "  ...\n",
      "  [249 199 147]\n",
      "  [249 199 147]\n",
      "  [249 199 147]]\n",
      "\n",
      " [[142 130 124]\n",
      "  [108 105  97]\n",
      "  [ 78  83  77]\n",
      "  ...\n",
      "  [249 199 147]\n",
      "  [249 199 147]\n",
      "  [249 199 147]]\n",
      "\n",
      " [[142 134 128]\n",
      "  [109 107 102]\n",
      "  [ 85  90  85]\n",
      "  ...\n",
      "  [249 199 147]\n",
      "  [249 199 147]\n",
      "  [249 199 147]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[127 151 166]\n",
      "  [100 123 138]\n",
      "  [152 173 188]\n",
      "  ...\n",
      "  [108 130 149]\n",
      "  [ 76  96 116]\n",
      "  [ 86 103 123]]\n",
      "\n",
      " [[144 162 179]\n",
      "  [125 143 160]\n",
      "  [102 120 137]\n",
      "  ...\n",
      "  [105 128 143]\n",
      "  [ 88 111 126]\n",
      "  [ 50  67  88]]\n",
      "\n",
      " [[124 145 164]\n",
      "  [125 149 170]\n",
      "  [115 141 159]\n",
      "  ...\n",
      "  [103 130 142]\n",
      "  [100 130 143]\n",
      "  [ 84 114 130]]]\n",
      "[[[ 92 101 113]\n",
      "  [ 93 102 114]\n",
      "  [ 93 102 114]\n",
      "  ...\n",
      "  [ 58  46  44]\n",
      "  [ 60  60  67]\n",
      "  [ 62  63  71]]\n",
      "\n",
      " [[ 92 101 113]\n",
      "  [ 93 102 114]\n",
      "  [ 92 102 114]\n",
      "  ...\n",
      "  [ 62  64  71]\n",
      "  [ 62  64  72]\n",
      "  [ 62  64  71]]\n",
      "\n",
      " [[ 92 101 113]\n",
      "  [ 92 102 113]\n",
      "  [ 93 102 115]\n",
      "  ...\n",
      "  [ 62  65  72]\n",
      "  [ 62  64  72]\n",
      "  [ 61  64  71]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 84  80  84]\n",
      "  [ 85  81  85]\n",
      "  [ 86  81  85]\n",
      "  ...\n",
      "  [ 34  21  13]\n",
      "  [ 35  20  13]\n",
      "  [ 34  20  12]]\n",
      "\n",
      " [[ 84  79  83]\n",
      "  [ 84  79  83]\n",
      "  [ 85  80  84]\n",
      "  ...\n",
      "  [ 19  12   8]\n",
      "  [ 19  13   9]\n",
      "  [ 20  13   9]]\n",
      "\n",
      " [[ 83  79  83]\n",
      "  [ 83  78  83]\n",
      "  [ 83  79  83]\n",
      "  ...\n",
      "  [ 13   8   4]\n",
      "  [ 13   8   4]\n",
      "  [ 13   7   4]]]\n",
      "[[[136 146 156]\n",
      "  [137 147 157]\n",
      "  [139 150 157]\n",
      "  ...\n",
      "  [226 223 223]\n",
      "  [221 221 220]\n",
      "  [220 220 218]]\n",
      "\n",
      " [[137 147 157]\n",
      "  [138 148 158]\n",
      "  [139 150 157]\n",
      "  ...\n",
      "  [225 223 222]\n",
      "  [221 222 220]\n",
      "  [218 219 217]]\n",
      "\n",
      " [[139 149 159]\n",
      "  [139 149 159]\n",
      "  [140 151 158]\n",
      "  ...\n",
      "  [224 222 221]\n",
      "  [218 220 218]\n",
      "  [214 215 214]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 49  50  64]\n",
      "  [ 45  48  62]\n",
      "  [ 46  52  65]\n",
      "  ...\n",
      "  [130 151 153]\n",
      "  [124 144 149]\n",
      "  [121 142 143]]\n",
      "\n",
      " [[ 51  53  64]\n",
      "  [ 48  50  61]\n",
      "  [ 51  55  69]\n",
      "  ...\n",
      "  [128 149 151]\n",
      "  [127 147 150]\n",
      "  [115 138 140]]\n",
      "\n",
      " [[ 43  45  56]\n",
      "  [ 44  46  57]\n",
      "  [ 44  47  61]\n",
      "  ...\n",
      "  [123 144 146]\n",
      "  [120 141 143]\n",
      "  [108 131 133]]]\n",
      "[[[182 188 187]\n",
      "  [121 127 126]\n",
      "  [ 85  91  90]\n",
      "  ...\n",
      "  [ 68  78  82]\n",
      "  [ 71  80  84]\n",
      "  [ 73  82  86]]\n",
      "\n",
      " [[156 162 161]\n",
      "  [134 140 139]\n",
      "  [ 91  96  95]\n",
      "  ...\n",
      "  [ 68  78  82]\n",
      "  [ 71  80  84]\n",
      "  [ 73  82  86]]\n",
      "\n",
      " [[173 179 178]\n",
      "  [105 111 110]\n",
      "  [ 88  93  92]\n",
      "  ...\n",
      "  [ 69  78  82]\n",
      "  [ 71  80  84]\n",
      "  [ 73  82  86]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[150 158 165]\n",
      "  [139 147 154]\n",
      "  [140 148 155]\n",
      "  ...\n",
      "  [215 211 210]\n",
      "  [212 208 207]\n",
      "  [211 207 206]]\n",
      "\n",
      " [[140 147 154]\n",
      "  [145 151 158]\n",
      "  [149 156 163]\n",
      "  ...\n",
      "  [215 211 209]\n",
      "  [212 208 207]\n",
      "  [211 207 206]]\n",
      "\n",
      " [[140 146 153]\n",
      "  [142 148 155]\n",
      "  [146 153 160]\n",
      "  ...\n",
      "  [215 211 209]\n",
      "  [212 208 207]\n",
      "  [211 207 206]]]\n",
      "[[[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]]\n",
      "[[[ 52  30   2]\n",
      "  [ 55  31   3]\n",
      "  [ 56  29   2]\n",
      "  ...\n",
      "  [ 45  25   6]\n",
      "  [ 45  25   7]\n",
      "  [ 45  25   7]]\n",
      "\n",
      " [[ 56  32   4]\n",
      "  [ 62  36   6]\n",
      "  [ 61  33   4]\n",
      "  ...\n",
      "  [ 45  25   6]\n",
      "  [ 45  25   7]\n",
      "  [ 45  25   7]]\n",
      "\n",
      " [[ 59  33   3]\n",
      "  [ 62  34   3]\n",
      "  [ 63  35   4]\n",
      "  ...\n",
      "  [ 45  26   6]\n",
      "  [ 45  25   7]\n",
      "  [ 45  25   7]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 45 190 241]\n",
      "  [ 30 175 229]\n",
      "  [ 38 184 235]\n",
      "  ...\n",
      "  [  0   2   3]\n",
      "  [  0   2   3]\n",
      "  [  0   2   3]]\n",
      "\n",
      " [[ 42 195 246]\n",
      "  [ 35 187 240]\n",
      "  [ 37 184 235]\n",
      "  ...\n",
      "  [  1   1   1]\n",
      "  [  1   1   1]\n",
      "  [  2   2   2]]\n",
      "\n",
      " [[ 31 183 237]\n",
      "  [ 36 188 243]\n",
      "  [ 34 178 232]\n",
      "  ...\n",
      "  [  1   1   1]\n",
      "  [  1   1   1]\n",
      "  [  1   1   1]]]\n",
      "[[[  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  ...\n",
      "  [117 117 117]\n",
      "  [182 182 182]\n",
      "  [  1   1   1]]\n",
      "\n",
      " [[  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  ...\n",
      "  [239 239 239]\n",
      "  [190 190 190]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  ...\n",
      "  [151 151 151]\n",
      "  [148 148 148]\n",
      "  [  1   1   1]]]\n",
      "[[[ 91 133 110]\n",
      "  [ 93 135 110]\n",
      "  [ 90 135 107]\n",
      "  ...\n",
      "  [ 94 133 111]\n",
      "  [ 89 131 108]\n",
      "  [ 92 135 112]]\n",
      "\n",
      " [[ 86 128 103]\n",
      "  [ 93 136 109]\n",
      "  [ 86 129 102]\n",
      "  ...\n",
      "  [ 90 129 106]\n",
      "  [ 95 134 112]\n",
      "  [ 87 130 107]]\n",
      "\n",
      " [[ 87 131 103]\n",
      "  [ 92 135 108]\n",
      "  [ 91 134 107]\n",
      "  ...\n",
      "  [ 90 129 105]\n",
      "  [ 95 135 110]\n",
      "  [ 91 133 108]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[  6  26  19]\n",
      "  [ 15  31  24]\n",
      "  [  8  21  14]\n",
      "  ...\n",
      "  [ 11  10  11]\n",
      "  [ 13  13  13]\n",
      "  [  9   9   9]]\n",
      "\n",
      " [[ 12  36  26]\n",
      "  [  7  26  17]\n",
      "  [  7  21  13]\n",
      "  ...\n",
      "  [ 10  10  11]\n",
      "  [  9   9   9]\n",
      "  [  8   8   8]]\n",
      "\n",
      " [[  7  32  22]\n",
      "  [  9  28  19]\n",
      "  [  5  20  11]\n",
      "  ...\n",
      "  [  9   9  10]\n",
      "  [  6   6   6]\n",
      "  [ 11  11  11]]]\n",
      "[[[ 21  19  15]\n",
      "  [ 35  25  20]\n",
      "  [137  91  91]\n",
      "  ...\n",
      "  [ 11  11  11]\n",
      "  [ 10  10   9]\n",
      "  [  9   9   8]]\n",
      "\n",
      " [[ 23  18  15]\n",
      "  [ 53  30  22]\n",
      "  [162 107  94]\n",
      "  ...\n",
      "  [ 20  21  19]\n",
      "  [ 19  20  16]\n",
      "  [ 15  17  12]]\n",
      "\n",
      " [[ 24  22  17]\n",
      "  [ 48  29  21]\n",
      "  [148  80  62]\n",
      "  ...\n",
      "  [ 23  27  22]\n",
      "  [ 21  25  20]\n",
      "  [ 22  26  21]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 25  28  17]\n",
      "  [ 24  25  19]\n",
      "  [ 20  18  17]\n",
      "  ...\n",
      "  [ 15  21  19]\n",
      "  [ 24  21  21]\n",
      "  [ 24  24  24]]\n",
      "\n",
      " [[ 26  28  25]\n",
      "  [ 25  26  22]\n",
      "  [ 24  22  18]\n",
      "  ...\n",
      "  [ 29  29  26]\n",
      "  [ 30  26  27]\n",
      "  [ 22  21  22]]\n",
      "\n",
      " [[ 28  30  29]\n",
      "  [ 22  23  20]\n",
      "  [ 43  40  37]\n",
      "  ...\n",
      "  [ 35  32  28]\n",
      "  [ 20  19  17]\n",
      "  [ 19  25  20]]]\n",
      "[[[ 71  57  51]\n",
      "  [ 75  61  55]\n",
      "  [ 76  62  56]\n",
      "  ...\n",
      "  [230 243 241]\n",
      "  [230 243 241]\n",
      "  [230 243 241]]\n",
      "\n",
      " [[ 73  59  53]\n",
      "  [ 79  65  59]\n",
      "  [ 78  64  58]\n",
      "  ...\n",
      "  [228 241 239]\n",
      "  [228 241 239]\n",
      "  [228 241 239]]\n",
      "\n",
      " [[ 73  59  53]\n",
      "  [ 78  64  58]\n",
      "  [ 78  64  58]\n",
      "  ...\n",
      "  [228 241 239]\n",
      "  [228 241 239]\n",
      "  [228 241 239]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 41  68 102]\n",
      "  [ 53  80 114]\n",
      "  [ 47  74 108]\n",
      "  ...\n",
      "  [115 159 188]\n",
      "  [142 186 214]\n",
      "  [114 158 188]]\n",
      "\n",
      " [[ 37  64  98]\n",
      "  [ 47  74 108]\n",
      "  [ 50  77 111]\n",
      "  ...\n",
      "  [116 160 191]\n",
      "  [101 145 176]\n",
      "  [116 163 196]]\n",
      "\n",
      " [[ 51  71 102]\n",
      "  [ 47  66  98]\n",
      "  [ 53  73 104]\n",
      "  ...\n",
      "  [114 161 189]\n",
      "  [122 168 197]\n",
      "  [ 79 130 163]]]\n",
      "[[[106 104 103]\n",
      "  [102 100  99]\n",
      "  [114 112 111]\n",
      "  ...\n",
      "  [152 153 151]\n",
      "  [128 129 127]\n",
      "  [157 157 157]]\n",
      "\n",
      " [[105 103 102]\n",
      "  [106 104 103]\n",
      "  [ 84  82  81]\n",
      "  ...\n",
      "  [148 149 147]\n",
      "  [159 160 158]\n",
      "  [164 164 164]]\n",
      "\n",
      " [[128 126 125]\n",
      "  [104 102 101]\n",
      "  [ 88  86  85]\n",
      "  ...\n",
      "  [125 126 124]\n",
      "  [136 137 135]\n",
      "  [155 155 155]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[107 107 107]\n",
      "  [104 104 104]\n",
      "  [100 100 100]\n",
      "  ...\n",
      "  [143 143 143]\n",
      "  [137 137 137]\n",
      "  [137 136 138]]\n",
      "\n",
      " [[107 107 107]\n",
      "  [104 104 104]\n",
      "  [103 103 103]\n",
      "  ...\n",
      "  [137 137 137]\n",
      "  [138 138 138]\n",
      "  [137 136 138]]\n",
      "\n",
      " [[106 106 106]\n",
      "  [102 102 102]\n",
      "  [105 105 105]\n",
      "  ...\n",
      "  [136 136 136]\n",
      "  [136 136 136]\n",
      "  [137 135 135]]]\n",
      "[[[178 177 177]\n",
      "  [228 227 228]\n",
      "  [228 228 228]\n",
      "  ...\n",
      "  [229 228 229]\n",
      "  [227 226 228]\n",
      "  [172 176 176]]\n",
      "\n",
      " [[182 182 182]\n",
      "  [108 107 109]\n",
      "  [  5   7  15]\n",
      "  ...\n",
      "  [  4   5   7]\n",
      "  [106 106 106]\n",
      "  [181 183 183]]\n",
      "\n",
      " [[184 184 184]\n",
      "  [118 117 119]\n",
      "  [ 12  17  31]\n",
      "  ...\n",
      "  [  9  12  20]\n",
      "  [118 119 117]\n",
      "  [183 182 184]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[185 185 185]\n",
      "  [152 152 152]\n",
      "  [102 104 104]\n",
      "  ...\n",
      "  [ 91  95  96]\n",
      "  [147 150 151]\n",
      "  [186 185 185]]\n",
      "\n",
      " [[184 184 184]\n",
      "  [156 156 156]\n",
      "  [ 88  90  90]\n",
      "  ...\n",
      "  [ 52  57  56]\n",
      "  [128 130 130]\n",
      "  [183 183 183]]\n",
      "\n",
      " [[176 176 176]\n",
      "  [229 229 229]\n",
      "  [229 229 229]\n",
      "  ...\n",
      "  [227 229 229]\n",
      "  [227 227 227]\n",
      "  [175 175 175]]]\n",
      "[[[140 151 159]\n",
      "  [141 152 160]\n",
      "  [141 152 160]\n",
      "  ...\n",
      "  [117 115 104]\n",
      "  [117 115 104]\n",
      "  [115 113 102]]\n",
      "\n",
      " [[141 150 159]\n",
      "  [142 151 160]\n",
      "  [141 151 160]\n",
      "  ...\n",
      "  [115 113 102]\n",
      "  [115 113 102]\n",
      "  [115 113 102]]\n",
      "\n",
      " [[143 149 158]\n",
      "  [144 150 159]\n",
      "  [142 150 159]\n",
      "  ...\n",
      "  [113 111 100]\n",
      "  [113 111 100]\n",
      "  [114 112 101]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 90  70  65]\n",
      "  [ 90  70  65]\n",
      "  [ 91  70  64]\n",
      "  ...\n",
      "  [165 173 186]\n",
      "  [166 174 187]\n",
      "  [163 172 185]]\n",
      "\n",
      " [[ 91  71  66]\n",
      "  [ 92  72  67]\n",
      "  [ 89  68  62]\n",
      "  ...\n",
      "  [168 174 187]\n",
      "  [167 173 186]\n",
      "  [166 172 185]]\n",
      "\n",
      " [[ 89  69  64]\n",
      "  [ 88  68  63]\n",
      "  [ 87  67  60]\n",
      "  ...\n",
      "  [166 168 182]\n",
      "  [166 169 183]\n",
      "  [180 183 197]]]\n",
      "[[[ 15  69  40]\n",
      "  [  9  64  35]\n",
      "  [  5  61  32]\n",
      "  ...\n",
      "  [ 11  76  43]\n",
      "  [ 10  79  46]\n",
      "  [  6  77  44]]\n",
      "\n",
      " [[  5  57  33]\n",
      "  [  3  58  33]\n",
      "  [  5  60  34]\n",
      "  ...\n",
      "  [ 10  78  44]\n",
      "  [ 11  78  46]\n",
      "  [  9  76  44]]\n",
      "\n",
      " [[  6  59  33]\n",
      "  [  6  59  32]\n",
      "  [  4  59  32]\n",
      "  ...\n",
      "  [ 10  78  46]\n",
      "  [ 11  78  47]\n",
      "  [ 11  76  44]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[  1 182  97]\n",
      "  [  4 184 101]\n",
      "  [  4 183 100]\n",
      "  ...\n",
      "  [ 60 137 131]\n",
      "  [ 79 161 143]\n",
      "  [ 92 176 158]]\n",
      "\n",
      " [[  7 187  99]\n",
      "  [  4 184 101]\n",
      "  [  6 184 104]\n",
      "  ...\n",
      "  [ 82 177 149]\n",
      "  [ 73 175 140]\n",
      "  [ 77 173 143]]\n",
      "\n",
      " [[  8 185  98]\n",
      "  [  6 185 100]\n",
      "  [  6 184 102]\n",
      "  ...\n",
      "  [ 77 176 133]\n",
      "  [ 89 176 136]\n",
      "  [ 97 171 139]]]\n",
      "[[[246 246 246]\n",
      "  [246 246 246]\n",
      "  [246 246 246]\n",
      "  ...\n",
      "  [232 231 231]\n",
      "  [232 231 231]\n",
      "  [232 231 231]]\n",
      "\n",
      " [[234 233 233]\n",
      "  [234 233 233]\n",
      "  [234 233 233]\n",
      "  ...\n",
      "  [234 233 233]\n",
      "  [234 233 233]\n",
      "  [234 233 233]]\n",
      "\n",
      " [[234 233 233]\n",
      "  [234 233 233]\n",
      "  [234 233 233]\n",
      "  ...\n",
      "  [234 233 233]\n",
      "  [234 233 233]\n",
      "  [234 233 233]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[234 233 233]\n",
      "  [234 233 233]\n",
      "  [234 233 233]\n",
      "  ...\n",
      "  [234 233 233]\n",
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      "\n",
      " [[234 233 233]\n",
      "  [234 233 233]\n",
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      "  ...\n",
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      "\n",
      " [[234 233 233]\n",
      "  [234 233 233]\n",
      "  [234 233 233]\n",
      "  ...\n",
      "  [237 236 236]\n",
      "  [237 236 236]\n",
      "  [237 236 236]]]\n",
      "[[[240 241 235]\n",
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      "  [246 240 238]\n",
      "  ...\n",
      "  [229 226 218]\n",
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      "\n",
      " [[243 240 235]\n",
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      "  [245 241 238]\n",
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      "\n",
      " [[246 240 235]\n",
      "  [243 238 235]\n",
      "  [241 240 237]\n",
      "  ...\n",
      "  [230 227 219]\n",
      "  [229 226 218]\n",
      "  [228 225 217]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[242 236 229]\n",
      "  [244 238 231]\n",
      "  [244 238 231]\n",
      "  ...\n",
      "  [214 210 202]\n",
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      "\n",
      " [[243 236 230]\n",
      "  [242 236 229]\n",
      "  [245 239 232]\n",
      "  ...\n",
      "  [173 170 164]\n",
      "  [178 176 171]\n",
      "  [173 171 167]]\n",
      "\n",
      " [[242 236 229]\n",
      "  [244 238 231]\n",
      "  [244 238 231]\n",
      "  ...\n",
      "  [214 205 195]\n",
      "  [205 199 186]\n",
      "  [200 194 181]]]\n",
      "[[[249 254 250]\n",
      "  [248 253 253]\n",
      "  [255 255 251]\n",
      "  ...\n",
      "  [250 251 254]\n",
      "  [255 253 253]\n",
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      "\n",
      " [[250 253 249]\n",
      "  [244 249 248]\n",
      "  [254 255 253]\n",
      "  ...\n",
      "  [250 254 255]\n",
      "  [254 252 252]\n",
      "  [254 254 254]]\n",
      "\n",
      " [[253 254 252]\n",
      "  [211 219 224]\n",
      "  [204 218 231]\n",
      "  ...\n",
      "  [196 214 230]\n",
      "  [249 252 254]\n",
      "  [255 255 255]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[248 252 251]\n",
      "  [243 248 249]\n",
      "  [244 251 253]\n",
      "  ...\n",
      "  [241 249 253]\n",
      "  [246 249 248]\n",
      "  [255 255 254]]\n",
      "\n",
      " [[248 250 250]\n",
      "  [251 253 253]\n",
      "  [251 254 254]\n",
      "  ...\n",
      "  [248 252 253]\n",
      "  [249 251 251]\n",
      "  [255 255 254]]\n",
      "\n",
      " [[253 253 253]\n",
      "  [255 255 255]\n",
      "  [253 253 253]\n",
      "  ...\n",
      "  [251 253 253]\n",
      "  [253 253 253]\n",
      "  [255 255 254]]]\n",
      "[[[110 118 128]\n",
      "  [106 114 128]\n",
      "  [ 99 110 123]\n",
      "  ...\n",
      "  [120 131 158]\n",
      "  [120 131 158]\n",
      "  [124 133 160]]\n",
      "\n",
      " [[105 114 127]\n",
      "  [100 112 124]\n",
      "  [ 94 108 120]\n",
      "  ...\n",
      "  [117 128 155]\n",
      "  [118 129 156]\n",
      "  [125 134 161]]\n",
      "\n",
      " [[101 114 126]\n",
      "  [ 96 110 122]\n",
      "  [ 89 105 117]\n",
      "  ...\n",
      "  [118 129 157]\n",
      "  [120 131 158]\n",
      "  [125 134 161]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 36  31  33]\n",
      "  [ 57  53  58]\n",
      "  [ 50  50  60]\n",
      "  ...\n",
      "  [ 13  34  90]\n",
      "  [ 16  38  96]\n",
      "  [ 20  43 105]]\n",
      "\n",
      " [[ 27  26  28]\n",
      "  [ 36  34  38]\n",
      "  [ 45  48  54]\n",
      "  ...\n",
      "  [ 20  44  97]\n",
      "  [ 22  46 103]\n",
      "  [ 24  49 109]]\n",
      "\n",
      " [[ 22  24  25]\n",
      "  [ 29  31  32]\n",
      "  [ 58  61  65]\n",
      "  ...\n",
      "  [ 21  47 100]\n",
      "  [ 23  48 105]\n",
      "  [ 22  48 107]]]\n",
      "[[[132 146 168]\n",
      "  [125 139 161]\n",
      "  [129 143 165]\n",
      "  ...\n",
      "  [191 186 185]\n",
      "  [191 186 185]\n",
      "  [192 187 186]]\n",
      "\n",
      " [[136 150 172]\n",
      "  [134 148 170]\n",
      "  [133 147 169]\n",
      "  ...\n",
      "  [189 184 183]\n",
      "  [188 183 182]\n",
      "  [186 182 181]]\n",
      "\n",
      " [[132 146 167]\n",
      "  [149 163 185]\n",
      "  [147 161 183]\n",
      "  ...\n",
      "  [185 180 179]\n",
      "  [184 179 179]\n",
      "  [181 176 175]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[144 157 170]\n",
      "  [142 155 169]\n",
      "  [140 153 167]\n",
      "  ...\n",
      "  [192 136  87]\n",
      "  [190 134  85]\n",
      "  [184 128  79]]\n",
      "\n",
      " [[141 154 168]\n",
      "  [140 153 167]\n",
      "  [139 152 166]\n",
      "  ...\n",
      "  [190 137  86]\n",
      "  [190 137  86]\n",
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      "\n",
      " [[141 154 168]\n",
      "  [140 153 167]\n",
      "  [137 151 165]\n",
      "  ...\n",
      "  [188 135  84]\n",
      "  [195 142  91]\n",
      "  [189 136  85]]]\n",
      "[[[138 101  45]\n",
      "  [143 101  47]\n",
      "  [143 101  48]\n",
      "  ...\n",
      "  [148 109  54]\n",
      "  [149 108  55]\n",
      "  [148 106  53]]\n",
      "\n",
      " [[144 101  47]\n",
      "  [146 101  48]\n",
      "  [144 102  49]\n",
      "  ...\n",
      "  [149 110  55]\n",
      "  [150 108  55]\n",
      "  [149 107  54]]\n",
      "\n",
      " [[145 101  48]\n",
      "  [146 102  49]\n",
      "  [143 102  50]\n",
      "  ...\n",
      "  [151 111  59]\n",
      "  [151 109  58]\n",
      "  [152 110  56]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[101 103  93]\n",
      "  [102 105  91]\n",
      "  [100 103  91]\n",
      "  ...\n",
      "  [ 99 108  95]\n",
      "  [100 107  91]\n",
      "  [ 95 104  90]]\n",
      "\n",
      " [[ 95  95  81]\n",
      "  [ 96  98  79]\n",
      "  [ 99 100  84]\n",
      "  ...\n",
      "  [ 97 105  94]\n",
      "  [ 99 107  94]\n",
      "  [ 93 102  89]]\n",
      "\n",
      " [[ 90  90  74]\n",
      "  [ 90  91  71]\n",
      "  [ 92  93  77]\n",
      "  ...\n",
      "  [ 98 105  97]\n",
      "  [ 95 104  92]\n",
      "  [ 94 102  90]]]\n",
      "[[[131 100  93]\n",
      "  [160 130 119]\n",
      "  [191 164 151]\n",
      "  ...\n",
      "  [189 189 189]\n",
      "  [187 187 187]\n",
      "  [186 186 186]]\n",
      "\n",
      " [[175 149 135]\n",
      "  [139 114  98]\n",
      "  [120  92  74]\n",
      "  ...\n",
      "  [189 189 189]\n",
      "  [187 187 187]\n",
      "  [186 186 186]]\n",
      "\n",
      " [[223 203 185]\n",
      "  [223 203 185]\n",
      "  [217 197 180]\n",
      "  ...\n",
      "  [190 190 190]\n",
      "  [187 187 187]\n",
      "  [186 186 186]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[186 170 163]\n",
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      "  [186 170 163]\n",
      "  ...\n",
      "  [ 68  61  38]\n",
      "  [ 46  39  24]\n",
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      "\n",
      " [[184 168 161]\n",
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      "  [186 170 163]\n",
      "  ...\n",
      "  [ 65  58  35]\n",
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      "\n",
      " [[183 167 160]\n",
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      "  ...\n",
      "  [ 64  58  34]\n",
      "  [ 45  38  23]\n",
      "  [ 36  33  25]]]\n",
      "[[[ 23  83 119]\n",
      "  [ 31  93 129]\n",
      "  [ 40 102 138]\n",
      "  ...\n",
      "  [155 170 186]\n",
      "  [155 171 184]\n",
      "  [155 171 184]]\n",
      "\n",
      " [[ 37  90 127]\n",
      "  [ 24  83 119]\n",
      "  [ 34  98 133]\n",
      "  ...\n",
      "  [156 172 188]\n",
      "  [157 173 186]\n",
      "  [156 172 185]]\n",
      "\n",
      " [[ 46  95 133]\n",
      "  [ 40  97 133]\n",
      "  [ 27  91 126]\n",
      "  ...\n",
      "  [157 172 188]\n",
      "  [157 173 186]\n",
      "  [157 173 186]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 59  81  92]\n",
      "  [ 61  83  94]\n",
      "  [ 60  82  93]\n",
      "  ...\n",
      "  [ 56  66  83]\n",
      "  [ 57  67  85]\n",
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      "\n",
      " [[ 59  81  92]\n",
      "  [ 60  82  93]\n",
      "  [ 52  74  85]\n",
      "  ...\n",
      "  [ 61  71  88]\n",
      "  [ 60  67  86]\n",
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      "\n",
      " [[ 59  82  92]\n",
      "  [ 59  79  90]\n",
      "  [ 34  54  65]\n",
      "  ...\n",
      "  [ 60  70  88]\n",
      "  [ 60  69  88]\n",
      "  [ 59  69  87]]]\n",
      "[[[ 44  52  97]\n",
      "  [ 44  53  98]\n",
      "  [ 49  57 102]\n",
      "  ...\n",
      "  [ 58  67 119]\n",
      "  [ 62  69 118]\n",
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      "\n",
      " [[ 43  51  98]\n",
      "  [ 48  56 103]\n",
      "  [ 47  55 102]\n",
      "  ...\n",
      "  [ 57  72 121]\n",
      "  [ 57  70 122]\n",
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      "\n",
      " [[ 44  51 100]\n",
      "  [ 48  55 104]\n",
      "  [ 47  54 103]\n",
      "  ...\n",
      "  [ 53  69 119]\n",
      "  [ 55  69 122]\n",
      "  [ 56  67 125]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 60  77 133]\n",
      "  [ 61  78 135]\n",
      "  [ 64  81 137]\n",
      "  ...\n",
      "  [ 88  96 155]\n",
      "  [ 85 101 154]\n",
      "  [ 90 100 148]]\n",
      "\n",
      " [[ 62  79 135]\n",
      "  [ 66  80 133]\n",
      "  [ 64  80 138]\n",
      "  ...\n",
      "  [ 90 100 157]\n",
      "  [ 87  99 153]\n",
      "  [ 84  97 149]]\n",
      "\n",
      " [[ 60  77 133]\n",
      "  [ 63  77 130]\n",
      "  [ 59  75 134]\n",
      "  ...\n",
      "  [ 85  95 153]\n",
      "  [ 86  98 152]\n",
      "  [ 85  98 150]]]\n",
      "[[[108 113 116]\n",
      "  [110 114 118]\n",
      "  [113 116 124]\n",
      "  ...\n",
      "  [142 170 181]\n",
      "  [140 167 179]\n",
      "  [133 160 174]]\n",
      "\n",
      " [[110 115 117]\n",
      "  [112 116 120]\n",
      "  [112 115 123]\n",
      "  ...\n",
      "  [140 167 181]\n",
      "  [137 164 178]\n",
      "  [133 159 175]]\n",
      "\n",
      " [[110 115 118]\n",
      "  [112 117 120]\n",
      "  [110 113 121]\n",
      "  ...\n",
      "  [138 164 180]\n",
      "  [134 160 176]\n",
      "  [134 160 177]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[214 209 206]\n",
      "  [210 205 202]\n",
      "  [214 209 206]\n",
      "  ...\n",
      "  [ 42  53  67]\n",
      "  [ 44  53  66]\n",
      "  [ 38  49  63]]\n",
      "\n",
      " [[212 207 204]\n",
      "  [213 208 205]\n",
      "  [215 210 207]\n",
      "  ...\n",
      "  [ 44  57  73]\n",
      "  [ 47  58  72]\n",
      "  [ 40  52  66]]\n",
      "\n",
      " [[211 206 203]\n",
      "  [215 210 207]\n",
      "  [211 206 203]\n",
      "  ...\n",
      "  [ 43  57  75]\n",
      "  [ 43  56  72]\n",
      "  [ 43  56  71]]]\n",
      "[[[247 252 251]\n",
      "  [255 255 248]\n",
      "  [255 255 251]\n",
      "  ...\n",
      "  [254 254 248]\n",
      "  [255 255 242]\n",
      "  [247 252 248]]\n",
      "\n",
      " [[254 254 250]\n",
      "  [165 160 144]\n",
      "  [187 183 164]\n",
      "  ...\n",
      "  [161 153 109]\n",
      "  [148 139  99]\n",
      "  [255 254 247]]\n",
      "\n",
      " [[252 252 249]\n",
      "  [184 184 163]\n",
      "  [200 199 175]\n",
      "  ...\n",
      "  [190 174 129]\n",
      "  [174 159 119]\n",
      "  [253 250 248]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[252 252 247]\n",
      "  [177 173 146]\n",
      "  [193 187 161]\n",
      "  ...\n",
      "  [216 217 209]\n",
      "  [215 215 203]\n",
      "  [251 251 247]]\n",
      "\n",
      " [[254 254 250]\n",
      "  [195 187 179]\n",
      "  [178 167 162]\n",
      "  ...\n",
      "  [175 166 163]\n",
      "  [193 186 179]\n",
      "  [254 254 252]]\n",
      "\n",
      " [[248 254 250]\n",
      "  [255 255 253]\n",
      "  [255 255 249]\n",
      "  ...\n",
      "  [255 254 255]\n",
      "  [252 254 250]\n",
      "  [245 252 252]]]\n",
      "[[[175 180 183]\n",
      "  [177 182 185]\n",
      "  [177 182 185]\n",
      "  ...\n",
      "  [181 196 198]\n",
      "  [181 196 198]\n",
      "  [179 194 196]]\n",
      "\n",
      " [[175 180 183]\n",
      "  [177 182 185]\n",
      "  [177 182 185]\n",
      "  ...\n",
      "  [181 196 198]\n",
      "  [181 196 198]\n",
      "  [181 196 198]]\n",
      "\n",
      " [[175 180 183]\n",
      "  [177 182 185]\n",
      "  [177 182 185]\n",
      "  ...\n",
      "  [173 188 190]\n",
      "  [173 188 190]\n",
      "  [175 190 192]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[128 156 187]\n",
      "  [128 156 187]\n",
      "  [128 156 187]\n",
      "  ...\n",
      "  [ 77  99 127]\n",
      "  [102 124 152]\n",
      "  [ 92 115 144]]\n",
      "\n",
      " [[133 161 192]\n",
      "  [134 163 194]\n",
      "  [128 158 189]\n",
      "  ...\n",
      "  [106 127 155]\n",
      "  [103 125 153]\n",
      "  [108 131 159]]\n",
      "\n",
      " [[122 149 183]\n",
      "  [127 154 188]\n",
      "  [129 156 190]\n",
      "  ...\n",
      "  [ 78 106 140]\n",
      "  [ 80 107 142]\n",
      "  [ 91 120 151]]]\n",
      "[[[171 171 171]\n",
      "  [165 165 165]\n",
      "  [155 155 155]\n",
      "  ...\n",
      "  [142 142 142]\n",
      "  [163 163 163]\n",
      "  [161 161 161]]\n",
      "\n",
      " [[174 174 174]\n",
      "  [168 168 168]\n",
      "  [160 160 160]\n",
      "  ...\n",
      "  [128 128 128]\n",
      "  [163 163 163]\n",
      "  [173 173 173]]\n",
      "\n",
      " [[174 174 174]\n",
      "  [171 171 171]\n",
      "  [158 158 158]\n",
      "  ...\n",
      "  [156 156 156]\n",
      "  [164 164 164]\n",
      "  [191 192 192]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[176 176 176]\n",
      "  [177 177 177]\n",
      "  [175 175 175]\n",
      "  ...\n",
      "  [136 136 136]\n",
      "  [116 116 116]\n",
      "  [104 104 104]]\n",
      "\n",
      " [[177 177 177]\n",
      "  [160 160 160]\n",
      "  [179 179 179]\n",
      "  ...\n",
      "  [138 138 138]\n",
      "  [138 138 138]\n",
      "  [103 103 103]]\n",
      "\n",
      " [[176 176 176]\n",
      "  [174 174 174]\n",
      "  [180 180 180]\n",
      "  ...\n",
      "  [142 142 142]\n",
      "  [141 141 141]\n",
      "  [109 109 109]]]\n",
      "[[[ 93 121 157]\n",
      "  [147 170 186]\n",
      "  [203 218 216]\n",
      "  ...\n",
      "  [188 186 199]\n",
      "  [194 200 203]\n",
      "  [199 202 205]]\n",
      "\n",
      " [[ 93 125 159]\n",
      "  [149 170 185]\n",
      "  [198 213 211]\n",
      "  ...\n",
      "  [183 183 191]\n",
      "  [178 181 190]\n",
      "  [200 200 207]]\n",
      "\n",
      " [[ 95 126 159]\n",
      "  [146 170 186]\n",
      "  [198 213 211]\n",
      "  ...\n",
      "  [193 194 199]\n",
      "  [196 196 207]\n",
      "  [199 205 207]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 65  94 143]\n",
      "  [ 67  99 144]\n",
      "  [ 72  98 142]\n",
      "  ...\n",
      "  [134 183 230]\n",
      "  [130 179 227]\n",
      "  [134 176 223]]\n",
      "\n",
      " [[ 74 118 165]\n",
      "  [ 72 115 163]\n",
      "  [ 82 107 152]\n",
      "  ...\n",
      "  [131 179 230]\n",
      "  [131 180 227]\n",
      "  [135 176 223]]\n",
      "\n",
      " [[ 80 127 177]\n",
      "  [ 77 128 175]\n",
      "  [ 91 122 159]\n",
      "  ...\n",
      "  [129 183 229]\n",
      "  [130 175 226]\n",
      "  [128 177 225]]]\n",
      "[[[ 9  3  2]\n",
      "  [10  3  4]\n",
      "  [ 4  0  0]\n",
      "  ...\n",
      "  [ 8  5  5]\n",
      "  [12  4 12]\n",
      "  [ 5  6  9]]\n",
      "\n",
      " [[13  4  6]\n",
      "  [13  1  3]\n",
      "  [15  1  4]\n",
      "  ...\n",
      "  [14  6 11]\n",
      "  [ 4 10 20]\n",
      "  [ 3  5 11]]\n",
      "\n",
      " [[ 2  3  6]\n",
      "  [ 3  1  0]\n",
      "  [ 9  1  4]\n",
      "  ...\n",
      "  [14  5 14]\n",
      "  [ 1 10 20]\n",
      "  [ 3  8 13]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[14  5 13]\n",
      "  [15  1 28]\n",
      "  [17  4 26]\n",
      "  ...\n",
      "  [ 1 13 30]\n",
      "  [ 3 12 30]\n",
      "  [ 3 12 22]]\n",
      "\n",
      " [[12  3 12]\n",
      "  [16  2 23]\n",
      "  [12  1 18]\n",
      "  ...\n",
      "  [ 8 14 33]\n",
      "  [ 4  9 25]\n",
      "  [ 9 14 24]]\n",
      "\n",
      " [[10  2 14]\n",
      "  [16  5  9]\n",
      "  [10  1 15]\n",
      "  ...\n",
      "  [15  9 29]\n",
      "  [10  8 23]\n",
      "  [10 10 25]]]\n",
      "[[[196 199 204]\n",
      "  [196 199 204]\n",
      "  [196 199 204]\n",
      "  ...\n",
      "  [215 205 198]\n",
      "  [214 205 196]\n",
      "  [213 204 195]]\n",
      "\n",
      " [[189 192 198]\n",
      "  [189 192 198]\n",
      "  [190 193 198]\n",
      "  ...\n",
      "  [209 199 193]\n",
      "  [208 198 191]\n",
      "  [207 197 190]]\n",
      "\n",
      " [[185 188 193]\n",
      "  [185 188 193]\n",
      "  [185 188 193]\n",
      "  ...\n",
      "  [204 193 190]\n",
      "  [204 192 190]\n",
      "  [202 191 188]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[  7   1   7]\n",
      "  [  4   1  11]\n",
      "  [  5   4  13]\n",
      "  ...\n",
      "  [  3  77 147]\n",
      "  [  0  70 137]\n",
      "  [  0  70 130]]\n",
      "\n",
      " [[ 14  11  23]\n",
      "  [ 11  12  30]\n",
      "  [  6   9  31]\n",
      "  ...\n",
      "  [ 20  92 158]\n",
      "  [ 26  97 160]\n",
      "  [ 24  93 152]]\n",
      "\n",
      " [[ 28  37  51]\n",
      "  [ 23  29  50]\n",
      "  [ 16  22  45]\n",
      "  ...\n",
      "  [ 42 112 171]\n",
      "  [ 39 109 168]\n",
      "  [ 42 112 171]]]\n",
      "[[[ 72  89 108]\n",
      "  [ 62  79  98]\n",
      "  [ 62  79  97]\n",
      "  ...\n",
      "  [ 86 107 138]\n",
      "  [ 86 108 137]\n",
      "  [ 86 108 136]]\n",
      "\n",
      " [[ 65  82 101]\n",
      "  [ 61  78  97]\n",
      "  [ 61  78  96]\n",
      "  ...\n",
      "  [ 85 106 137]\n",
      "  [ 85 106 137]\n",
      "  [ 85 106 137]]\n",
      "\n",
      " [[ 66  83 102]\n",
      "  [ 58  78  96]\n",
      "  [ 59  79  97]\n",
      "  ...\n",
      "  [ 83 104 135]\n",
      "  [ 84 105 136]\n",
      "  [ 84 104 139]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[128 146 163]\n",
      "  [128 144 161]\n",
      "  [131 146 162]\n",
      "  ...\n",
      "  [ 93 125 160]\n",
      "  [ 93 125 160]\n",
      "  [ 93 125 160]]\n",
      "\n",
      " [[121 144 160]\n",
      "  [123 145 160]\n",
      "  [124 143 158]\n",
      "  ...\n",
      "  [ 92 124 159]\n",
      "  [ 93 125 160]\n",
      "  [ 97 129 164]]\n",
      "\n",
      " [[117 143 159]\n",
      "  [116 143 157]\n",
      "  [116 141 154]\n",
      "  ...\n",
      "  [ 92 124 159]\n",
      "  [ 93 125 160]\n",
      "  [ 98 130 165]]]\n",
      "[[[210 211 214]\n",
      "  [209 210 213]\n",
      "  [207 208 211]\n",
      "  ...\n",
      "  [ 66  62  60]\n",
      "  [ 66  62  60]\n",
      "  [ 66  62  59]]\n",
      "\n",
      " [[210 211 214]\n",
      "  [209 210 213]\n",
      "  [207 208 212]\n",
      "  ...\n",
      "  [ 67  63  61]\n",
      "  [ 67  62  60]\n",
      "  [ 66  62  60]]\n",
      "\n",
      " [[210 211 214]\n",
      "  [209 210 213]\n",
      "  [207 208 212]\n",
      "  ...\n",
      "  [ 68  63  61]\n",
      "  [ 67  63  61]\n",
      "  [ 66  62  60]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[229 228 229]\n",
      "  [229 228 230]\n",
      "  [230 229 231]\n",
      "  ...\n",
      "  [ 99 116 147]\n",
      "  [ 96 113 144]\n",
      "  [ 97 116 147]]\n",
      "\n",
      " [[229 228 230]\n",
      "  [229 229 230]\n",
      "  [229 228 230]\n",
      "  ...\n",
      "  [101 119 152]\n",
      "  [ 97 113 146]\n",
      "  [ 93 110 140]]\n",
      "\n",
      " [[230 229 230]\n",
      "  [229 228 230]\n",
      "  [229 228 230]\n",
      "  ...\n",
      "  [102 121 154]\n",
      "  [104 121 154]\n",
      "  [ 98 116 148]]]\n",
      "[[[183 181 170]\n",
      "  [184 182 171]\n",
      "  [185 183 172]\n",
      "  ...\n",
      "  [164 162 152]\n",
      "  [164 162 152]\n",
      "  [165 163 153]]\n",
      "\n",
      " [[186 184 173]\n",
      "  [187 185 174]\n",
      "  [187 185 174]\n",
      "  ...\n",
      "  [164 162 152]\n",
      "  [164 162 152]\n",
      "  [165 163 153]]\n",
      "\n",
      " [[185 183 172]\n",
      "  [186 184 173]\n",
      "  [187 185 174]\n",
      "  ...\n",
      "  [165 163 153]\n",
      "  [166 164 154]\n",
      "  [167 165 155]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[106 154 188]\n",
      "  [109 151 186]\n",
      "  [115 153 187]\n",
      "  ...\n",
      "  [ 57  68  72]\n",
      "  [ 55  66  70]\n",
      "  [ 55  66  70]]\n",
      "\n",
      " [[ 88 123 157]\n",
      "  [103 132 166]\n",
      "  [110 136 170]\n",
      "  ...\n",
      "  [ 55  66  70]\n",
      "  [ 55  66  70]\n",
      "  [ 57  68  72]]\n",
      "\n",
      " [[111 148 186]\n",
      "  [117 149 187]\n",
      "  [121 148 185]\n",
      "  ...\n",
      "  [ 57  68  72]\n",
      "  [ 55  66  70]\n",
      "  [ 53  64  68]]]\n",
      "[[[145 147 148]\n",
      "  [144 146 147]\n",
      "  [145 147 148]\n",
      "  ...\n",
      "  [171 170 174]\n",
      "  [171 170 174]\n",
      "  [175 174 178]]\n",
      "\n",
      " [[144 146 147]\n",
      "  [142 144 145]\n",
      "  [143 145 146]\n",
      "  ...\n",
      "  [170 169 173]\n",
      "  [170 169 173]\n",
      "  [175 174 178]]\n",
      "\n",
      " [[144 146 147]\n",
      "  [142 144 145]\n",
      "  [144 146 147]\n",
      "  ...\n",
      "  [175 174 178]\n",
      "  [174 173 177]\n",
      "  [180 179 183]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 13  23  33]\n",
      "  [  9  19  29]\n",
      "  [ 14  24  34]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[ 11  24  32]\n",
      "  [ 11  22  30]\n",
      "  [ 19  28  37]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[ 15  28  36]\n",
      "  [ 13  24  32]\n",
      "  [ 11  20  29]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [ 20  20  20]]]\n",
      "[[[119 121 123]\n",
      "  [ 55  57  58]\n",
      "  [164 166 167]\n",
      "  ...\n",
      "  [ 99  98 216]\n",
      "  [ 99  98 216]\n",
      "  [ 99  98 216]]\n",
      "\n",
      " [[120 122 123]\n",
      "  [ 56  57  58]\n",
      "  [164 167 168]\n",
      "  ...\n",
      "  [ 99  98 216]\n",
      "  [ 99  98 216]\n",
      "  [ 99  98 216]]\n",
      "\n",
      " [[120 122 123]\n",
      "  [ 57  58  59]\n",
      "  [164 166 167]\n",
      "  ...\n",
      "  [ 99  98 216]\n",
      "  [ 99  98 216]\n",
      "  [ 99  98 216]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 52  57  62]\n",
      "  [ 32  34  36]\n",
      "  [ 49  51  52]\n",
      "  ...\n",
      "  [107 110 111]\n",
      "  [111 113 114]\n",
      "  [114 116 117]]\n",
      "\n",
      " [[ 31  33  33]\n",
      "  [ 28  28  28]\n",
      "  [ 47  48  49]\n",
      "  ...\n",
      "  [105 108 112]\n",
      "  [109 111 113]\n",
      "  [112 114 114]]\n",
      "\n",
      " [[ 38  39  40]\n",
      "  [ 38  38  38]\n",
      "  [ 57  57  57]\n",
      "  ...\n",
      "  [103 106 110]\n",
      "  [106 109 112]\n",
      "  [110 111 114]]]\n",
      "[[[ 96 124 148]\n",
      "  [ 99 128 149]\n",
      "  [103 133 152]\n",
      "  ...\n",
      "  [105 132 159]\n",
      "  [102 129 156]\n",
      "  [ 97 124 151]]\n",
      "\n",
      " [[ 97 124 150]\n",
      "  [100 128 152]\n",
      "  [105 134 154]\n",
      "  ...\n",
      "  [108 135 162]\n",
      "  [106 133 160]\n",
      "  [102 129 156]]\n",
      "\n",
      " [[ 97 124 151]\n",
      "  [101 128 154]\n",
      "  [106 135 157]\n",
      "  ...\n",
      "  [112 139 166]\n",
      "  [109 136 163]\n",
      "  [105 132 159]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 65 102 146]\n",
      "  [ 77 116 160]\n",
      "  [ 70 112 155]\n",
      "  ...\n",
      "  [ 17  34  62]\n",
      "  [  7  24  53]\n",
      "  [  4  14  41]]\n",
      "\n",
      " [[ 48  84 128]\n",
      "  [ 58  98 143]\n",
      "  [ 80 120 163]\n",
      "  ...\n",
      "  [ 12  29  56]\n",
      "  [  9  26  59]\n",
      "  [ 10  23  60]]\n",
      "\n",
      " [[ 79 107 154]\n",
      "  [ 64 105 154]\n",
      "  [ 53  86 131]\n",
      "  ...\n",
      "  [ 28  43  75]\n",
      "  [ 38  52  82]\n",
      "  [ 17  32  64]]]\n",
      "[[[197 195 195]\n",
      "  [198 196 196]\n",
      "  [198 196 196]\n",
      "  ...\n",
      "  [ 94  89  90]\n",
      "  [ 85  83  83]\n",
      "  [ 80  80  80]]\n",
      "\n",
      " [[198 196 196]\n",
      "  [198 196 196]\n",
      "  [198 196 196]\n",
      "  ...\n",
      "  [ 97  92  93]\n",
      "  [ 87  85  85]\n",
      "  [ 79  79  79]]\n",
      "\n",
      " [[197 196 196]\n",
      "  [196 194 194]\n",
      "  [197 195 195]\n",
      "  ...\n",
      "  [ 99  94  95]\n",
      "  [ 87  85  85]\n",
      "  [ 81  81  81]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[ 22  16   5]\n",
      "  [140 142 142]\n",
      "  [180 194 206]\n",
      "  ...\n",
      "  [122 128 141]\n",
      "  [145 149 160]\n",
      "  [124 126 136]]\n",
      "\n",
      " [[ 20  14   4]\n",
      "  [204 207 213]\n",
      "  [172 190 206]\n",
      "  ...\n",
      "  [129 134 148]\n",
      "  [123 126 139]\n",
      "  [145 147 158]]\n",
      "\n",
      " [[  8  13  11]\n",
      "  [185 187 196]\n",
      "  [160 174 197]\n",
      "  ...\n",
      "  [127 133 144]\n",
      "  [125 131 143]\n",
      "  [122 128 138]]]\n",
      "[[[ 26  43  63]\n",
      "  [ 23  45  81]\n",
      "  [ 97 139 182]\n",
      "  ...\n",
      "  [ 62 105 132]\n",
      "  [ 61 104 131]\n",
      "  [ 65 105 133]]\n",
      "\n",
      " [[ 28  45  64]\n",
      "  [ 11  33  68]\n",
      "  [ 92 135 176]\n",
      "  ...\n",
      "  [ 63 106 133]\n",
      "  [ 62 105 132]\n",
      "  [ 63 103 131]]\n",
      "\n",
      " [[ 27  44  61]\n",
      "  [ 16  40  73]\n",
      "  [ 90 134 174]\n",
      "  ...\n",
      "  [ 63 106 133]\n",
      "  [ 61 104 131]\n",
      "  [ 62 102 130]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[220 237 224]\n",
      "  [215 231 221]\n",
      "  [168 183 191]\n",
      "  ...\n",
      "  [ 21  43  79]\n",
      "  [ 23  42  86]\n",
      "  [ 18  44  74]]\n",
      "\n",
      " [[224 241 228]\n",
      "  [230 247 235]\n",
      "  [220 236 242]\n",
      "  ...\n",
      "  [ 23  47  77]\n",
      "  [ 19  40  78]\n",
      "  [ 16  42  72]]\n",
      "\n",
      " [[217 234 221]\n",
      "  [222 239 225]\n",
      "  [233 251 252]\n",
      "  ...\n",
      "  [ 23  47  75]\n",
      "  [ 20  42  77]\n",
      "  [ 18  44  74]]]\n"
     ]
    }
   ],
   "source": [
    "Test_X=[]\n",
    "for X_val in test_images:\n",
    "    print(X_val)\n",
    "    Test_X.append(X_val)\n",
    "Test_X=np.array(Test_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a68f3610",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalizing\n",
    "Test_X = Test_X/255"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "64fb5617",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[[0.95294118, 0.95294118, 0.95294118],\n",
       "         [0.95294118, 0.95294118, 0.95294118],\n",
       "         [0.94509804, 0.94509804, 0.94509804],\n",
       "         ...,\n",
       "         [0.94117647, 0.94509804, 0.9372549 ],\n",
       "         [0.94901961, 0.95294118, 0.94509804],\n",
       "         [0.94901961, 0.94901961, 0.94901961]],\n",
       "\n",
       "        [[0.92941176, 0.92941176, 0.92941176],\n",
       "         [0.92941176, 0.92941176, 0.92941176],\n",
       "         [0.9372549 , 0.9372549 , 0.9372549 ],\n",
       "         ...,\n",
       "         [0.94509804, 0.94901961, 0.94117647],\n",
       "         [0.9372549 , 0.94117647, 0.93333333],\n",
       "         [0.92941176, 0.92941176, 0.92941176]],\n",
       "\n",
       "        [[0.94901961, 0.94901961, 0.94901961],\n",
       "         [0.94901961, 0.94901961, 0.94901961],\n",
       "         [0.94901961, 0.94901961, 0.94901961],\n",
       "         ...,\n",
       "         [0.92941176, 0.92941176, 0.9254902 ],\n",
       "         [0.94509804, 0.94509804, 0.94117647],\n",
       "         [0.95294118, 0.95294118, 0.95294118]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.25882353, 0.32156863, 0.43529412],\n",
       "         [0.2745098 , 0.33333333, 0.45882353],\n",
       "         [0.25098039, 0.30980392, 0.43921569],\n",
       "         ...,\n",
       "         [0.79215686, 0.79215686, 0.79215686],\n",
       "         [0.79215686, 0.79215686, 0.79215686],\n",
       "         [0.78039216, 0.78823529, 0.78823529]],\n",
       "\n",
       "        [[0.25882353, 0.32156863, 0.43529412],\n",
       "         [0.25490196, 0.31764706, 0.43137255],\n",
       "         [0.23921569, 0.30980392, 0.43921569],\n",
       "         ...,\n",
       "         [0.79215686, 0.79215686, 0.79215686],\n",
       "         [0.79215686, 0.79215686, 0.79215686],\n",
       "         [0.78039216, 0.78823529, 0.78823529]],\n",
       "\n",
       "        [[0.2627451 , 0.3372549 , 0.45098039],\n",
       "         [0.27058824, 0.3254902 , 0.43529412],\n",
       "         [0.25882353, 0.3372549 , 0.46666667],\n",
       "         ...,\n",
       "         [0.78431373, 0.78431373, 0.78431373],\n",
       "         [0.78431373, 0.78431373, 0.78431373],\n",
       "         [0.77254902, 0.78039216, 0.78039216]]],\n",
       "\n",
       "\n",
       "       [[[0.70196078, 0.81176471, 0.87843137],\n",
       "         [0.36862745, 0.45490196, 0.50588235],\n",
       "         [0.39607843, 0.45490196, 0.48627451],\n",
       "         ...,\n",
       "         [0.33333333, 0.49803922, 0.58039216],\n",
       "         [0.32156863, 0.48627451, 0.57254902],\n",
       "         [0.31764706, 0.47843137, 0.56470588]],\n",
       "\n",
       "        [[0.64313725, 0.77254902, 0.8627451 ],\n",
       "         [0.6745098 , 0.79215686, 0.86666667],\n",
       "         [0.63921569, 0.7372549 , 0.8       ],\n",
       "         ...,\n",
       "         [0.3372549 , 0.50588235, 0.58823529],\n",
       "         [0.3254902 , 0.49411765, 0.57647059],\n",
       "         [0.32156863, 0.49019608, 0.57254902]],\n",
       "\n",
       "        [[0.60392157, 0.74901961, 0.82745098],\n",
       "         [0.61960784, 0.76078431, 0.84313725],\n",
       "         [0.65098039, 0.77647059, 0.86666667],\n",
       "         ...,\n",
       "         [0.3372549 , 0.51372549, 0.59607843],\n",
       "         [0.3372549 , 0.51372549, 0.59607843],\n",
       "         [0.32156863, 0.49803922, 0.58039216]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.39607843, 0.50588235, 0.54901961],\n",
       "         [0.32156863, 0.35686275, 0.38431373],\n",
       "         [0.43137255, 0.42352941, 0.42352941],\n",
       "         ...,\n",
       "         [0.56862745, 0.54901961, 0.54509804],\n",
       "         [0.44705882, 0.43529412, 0.42745098],\n",
       "         [0.48627451, 0.47058824, 0.47058824]],\n",
       "\n",
       "        [[0.44705882, 0.4       , 0.38823529],\n",
       "         [0.38431373, 0.35686275, 0.3372549 ],\n",
       "         [0.45098039, 0.45490196, 0.41568627],\n",
       "         ...,\n",
       "         [0.50980392, 0.48235294, 0.47058824],\n",
       "         [0.52941176, 0.50196078, 0.49019608],\n",
       "         [0.5254902 , 0.49411765, 0.48235294]],\n",
       "\n",
       "        [[0.38823529, 0.36470588, 0.36078431],\n",
       "         [0.41960784, 0.40392157, 0.39607843],\n",
       "         [0.38431373, 0.35686275, 0.35686275],\n",
       "         ...,\n",
       "         [0.48235294, 0.45490196, 0.44313725],\n",
       "         [0.39607843, 0.34901961, 0.34117647],\n",
       "         [0.46666667, 0.41568627, 0.40784314]]],\n",
       "\n",
       "\n",
       "       [[[0.52156863, 0.63921569, 0.72941176],\n",
       "         [0.52156863, 0.63529412, 0.72156863],\n",
       "         [0.52941176, 0.64705882, 0.73333333],\n",
       "         ...,\n",
       "         [0.43137255, 0.58039216, 0.46666667],\n",
       "         [0.45882353, 0.61176471, 0.5254902 ],\n",
       "         [0.61960784, 0.70196078, 0.76470588]],\n",
       "\n",
       "        [[0.52156863, 0.63529412, 0.7254902 ],\n",
       "         [0.51764706, 0.62745098, 0.70980392],\n",
       "         [0.52156863, 0.62745098, 0.70980392],\n",
       "         ...,\n",
       "         [0.42745098, 0.58823529, 0.45882353],\n",
       "         [0.45490196, 0.6       , 0.52156863],\n",
       "         [0.61960784, 0.70196078, 0.76470588]],\n",
       "\n",
       "        [[0.49019608, 0.60392157, 0.69411765],\n",
       "         [0.49019608, 0.60392157, 0.69411765],\n",
       "         [0.50196078, 0.60784314, 0.69411765],\n",
       "         ...,\n",
       "         [0.42352941, 0.51764706, 0.5254902 ],\n",
       "         [0.43529412, 0.61568627, 0.4745098 ],\n",
       "         [0.61960784, 0.70196078, 0.76470588]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.74117647, 0.83529412, 0.89411765],\n",
       "         [0.7372549 , 0.83529412, 0.89019608],\n",
       "         [0.76078431, 0.83921569, 0.89411765],\n",
       "         ...,\n",
       "         [0.09803922, 0.43921569, 0.6       ],\n",
       "         [0.10980392, 0.43921569, 0.6       ],\n",
       "         [0.15686275, 0.45490196, 0.6       ]],\n",
       "\n",
       "        [[0.76078431, 0.84705882, 0.90588235],\n",
       "         [0.77254902, 0.8627451 , 0.91372549],\n",
       "         [0.78431373, 0.85490196, 0.90588235],\n",
       "         ...,\n",
       "         [0.15686275, 0.45098039, 0.59607843],\n",
       "         [0.15686275, 0.4627451 , 0.61176471],\n",
       "         [0.16470588, 0.49019608, 0.63921569]],\n",
       "\n",
       "        [[0.74901961, 0.83921569, 0.89803922],\n",
       "         [0.76078431, 0.85098039, 0.90980392],\n",
       "         [0.78823529, 0.8627451 , 0.91372549],\n",
       "         ...,\n",
       "         [0.16078431, 0.47058824, 0.61960784],\n",
       "         [0.15686275, 0.45882353, 0.60784314],\n",
       "         [0.16078431, 0.4745098 , 0.62745098]]],\n",
       "\n",
       "\n",
       "       ...,\n",
       "\n",
       "\n",
       "       [[[0.37647059, 0.48627451, 0.58039216],\n",
       "         [0.38823529, 0.50196078, 0.58431373],\n",
       "         [0.40392157, 0.52156863, 0.59607843],\n",
       "         ...,\n",
       "         [0.41176471, 0.51764706, 0.62352941],\n",
       "         [0.4       , 0.50588235, 0.61176471],\n",
       "         [0.38039216, 0.48627451, 0.59215686]],\n",
       "\n",
       "        [[0.38039216, 0.48627451, 0.58823529],\n",
       "         [0.39215686, 0.50196078, 0.59607843],\n",
       "         [0.41176471, 0.5254902 , 0.60392157],\n",
       "         ...,\n",
       "         [0.42352941, 0.52941176, 0.63529412],\n",
       "         [0.41568627, 0.52156863, 0.62745098],\n",
       "         [0.4       , 0.50588235, 0.61176471]],\n",
       "\n",
       "        [[0.38039216, 0.48627451, 0.59215686],\n",
       "         [0.39607843, 0.50196078, 0.60392157],\n",
       "         [0.41568627, 0.52941176, 0.61568627],\n",
       "         ...,\n",
       "         [0.43921569, 0.54509804, 0.65098039],\n",
       "         [0.42745098, 0.53333333, 0.63921569],\n",
       "         [0.41176471, 0.51764706, 0.62352941]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.25490196, 0.4       , 0.57254902],\n",
       "         [0.30196078, 0.45490196, 0.62745098],\n",
       "         [0.2745098 , 0.43921569, 0.60784314],\n",
       "         ...,\n",
       "         [0.06666667, 0.13333333, 0.24313725],\n",
       "         [0.02745098, 0.09411765, 0.20784314],\n",
       "         [0.01568627, 0.05490196, 0.16078431]],\n",
       "\n",
       "        [[0.18823529, 0.32941176, 0.50196078],\n",
       "         [0.22745098, 0.38431373, 0.56078431],\n",
       "         [0.31372549, 0.47058824, 0.63921569],\n",
       "         ...,\n",
       "         [0.04705882, 0.11372549, 0.21960784],\n",
       "         [0.03529412, 0.10196078, 0.23137255],\n",
       "         [0.03921569, 0.09019608, 0.23529412]],\n",
       "\n",
       "        [[0.30980392, 0.41960784, 0.60392157],\n",
       "         [0.25098039, 0.41176471, 0.60392157],\n",
       "         [0.20784314, 0.3372549 , 0.51372549],\n",
       "         ...,\n",
       "         [0.10980392, 0.16862745, 0.29411765],\n",
       "         [0.14901961, 0.20392157, 0.32156863],\n",
       "         [0.06666667, 0.1254902 , 0.25098039]]],\n",
       "\n",
       "\n",
       "       [[[0.77254902, 0.76470588, 0.76470588],\n",
       "         [0.77647059, 0.76862745, 0.76862745],\n",
       "         [0.77647059, 0.76862745, 0.76862745],\n",
       "         ...,\n",
       "         [0.36862745, 0.34901961, 0.35294118],\n",
       "         [0.33333333, 0.3254902 , 0.3254902 ],\n",
       "         [0.31372549, 0.31372549, 0.31372549]],\n",
       "\n",
       "        [[0.77647059, 0.76862745, 0.76862745],\n",
       "         [0.77647059, 0.76862745, 0.76862745],\n",
       "         [0.77647059, 0.76862745, 0.76862745],\n",
       "         ...,\n",
       "         [0.38039216, 0.36078431, 0.36470588],\n",
       "         [0.34117647, 0.33333333, 0.33333333],\n",
       "         [0.30980392, 0.30980392, 0.30980392]],\n",
       "\n",
       "        [[0.77254902, 0.76862745, 0.76862745],\n",
       "         [0.76862745, 0.76078431, 0.76078431],\n",
       "         [0.77254902, 0.76470588, 0.76470588],\n",
       "         ...,\n",
       "         [0.38823529, 0.36862745, 0.37254902],\n",
       "         [0.34117647, 0.33333333, 0.33333333],\n",
       "         [0.31764706, 0.31764706, 0.31764706]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.08627451, 0.0627451 , 0.01960784],\n",
       "         [0.54901961, 0.55686275, 0.55686275],\n",
       "         [0.70588235, 0.76078431, 0.80784314],\n",
       "         ...,\n",
       "         [0.47843137, 0.50196078, 0.55294118],\n",
       "         [0.56862745, 0.58431373, 0.62745098],\n",
       "         [0.48627451, 0.49411765, 0.53333333]],\n",
       "\n",
       "        [[0.07843137, 0.05490196, 0.01568627],\n",
       "         [0.8       , 0.81176471, 0.83529412],\n",
       "         [0.6745098 , 0.74509804, 0.80784314],\n",
       "         ...,\n",
       "         [0.50588235, 0.5254902 , 0.58039216],\n",
       "         [0.48235294, 0.49411765, 0.54509804],\n",
       "         [0.56862745, 0.57647059, 0.61960784]],\n",
       "\n",
       "        [[0.03137255, 0.05098039, 0.04313725],\n",
       "         [0.7254902 , 0.73333333, 0.76862745],\n",
       "         [0.62745098, 0.68235294, 0.77254902],\n",
       "         ...,\n",
       "         [0.49803922, 0.52156863, 0.56470588],\n",
       "         [0.49019608, 0.51372549, 0.56078431],\n",
       "         [0.47843137, 0.50196078, 0.54117647]]],\n",
       "\n",
       "\n",
       "       [[[0.10196078, 0.16862745, 0.24705882],\n",
       "         [0.09019608, 0.17647059, 0.31764706],\n",
       "         [0.38039216, 0.54509804, 0.71372549],\n",
       "         ...,\n",
       "         [0.24313725, 0.41176471, 0.51764706],\n",
       "         [0.23921569, 0.40784314, 0.51372549],\n",
       "         [0.25490196, 0.41176471, 0.52156863]],\n",
       "\n",
       "        [[0.10980392, 0.17647059, 0.25098039],\n",
       "         [0.04313725, 0.12941176, 0.26666667],\n",
       "         [0.36078431, 0.52941176, 0.69019608],\n",
       "         ...,\n",
       "         [0.24705882, 0.41568627, 0.52156863],\n",
       "         [0.24313725, 0.41176471, 0.51764706],\n",
       "         [0.24705882, 0.40392157, 0.51372549]],\n",
       "\n",
       "        [[0.10588235, 0.17254902, 0.23921569],\n",
       "         [0.0627451 , 0.15686275, 0.28627451],\n",
       "         [0.35294118, 0.5254902 , 0.68235294],\n",
       "         ...,\n",
       "         [0.24705882, 0.41568627, 0.52156863],\n",
       "         [0.23921569, 0.40784314, 0.51372549],\n",
       "         [0.24313725, 0.4       , 0.50980392]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[0.8627451 , 0.92941176, 0.87843137],\n",
       "         [0.84313725, 0.90588235, 0.86666667],\n",
       "         [0.65882353, 0.71764706, 0.74901961],\n",
       "         ...,\n",
       "         [0.08235294, 0.16862745, 0.30980392],\n",
       "         [0.09019608, 0.16470588, 0.3372549 ],\n",
       "         [0.07058824, 0.17254902, 0.29019608]],\n",
       "\n",
       "        [[0.87843137, 0.94509804, 0.89411765],\n",
       "         [0.90196078, 0.96862745, 0.92156863],\n",
       "         [0.8627451 , 0.9254902 , 0.94901961],\n",
       "         ...,\n",
       "         [0.09019608, 0.18431373, 0.30196078],\n",
       "         [0.0745098 , 0.15686275, 0.30588235],\n",
       "         [0.0627451 , 0.16470588, 0.28235294]],\n",
       "\n",
       "        [[0.85098039, 0.91764706, 0.86666667],\n",
       "         [0.87058824, 0.9372549 , 0.88235294],\n",
       "         [0.91372549, 0.98431373, 0.98823529],\n",
       "         ...,\n",
       "         [0.09019608, 0.18431373, 0.29411765],\n",
       "         [0.07843137, 0.16470588, 0.30196078],\n",
       "         [0.07058824, 0.17254902, 0.29019608]]]])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Test_X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "43fbd81a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4/4 [==============================] - 1s 245ms/step\n"
     ]
    }
   ],
   "source": [
    "predictions_test_data = np.argmax(model.predict(Test_X), axis=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6c6e33e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0,\n",
       "       0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1,\n",
       "       0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0,\n",
       "       0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0,\n",
       "       0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0,\n",
       "       1], dtype=int64)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions_test_data"
   ]
  }
 ],
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