TFLite conversion.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TensorFlow Lite Conversion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau, TensorBoard\n",
    "from models import ArcFaceModel\n",
    "import tensorflow as tf\n",
    "import os\n",
    "import logging\n",
    "import numpy as np\n",
    "from pathlib import Path\n",
    "import tensorflow.keras.backend as K\n",
    "from tensorflow.keras.models import Model, load_model\n",
    "from layers import ArcMarginPenaltyLogists\n",
    "from losses import softmax_loss\n",
    "from glob import glob\n",
    "import dataset\n",
    "\n",
    "tf.get_logger().setLevel(logging.ERROR)\n",
    "# os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0,1\"\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\r\n"
     ]
    }
   ],
   "source": [
    "!echo $CUDA_VISIBLE_DEVICES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "### IJB-C Dataset\n",
    "\n",
    "# batch_size = 128\n",
    "# input_size = 112\n",
    "# embd_shape = 512\n",
    "# head_type = 'ArcHead'\n",
    "# backbone_type = 'MobileNetV2'\n",
    "# w_decay=5e-4\n",
    "# num_classes = 3584 \n",
    "# base_lr = 0.01\n",
    "# dataset_len = 13033 \n",
    "# epochs = 100\n",
    "# steps_per_epoch = dataset_len // batch_size\n",
    "\n",
    "### MS1M dataset\n",
    "\n",
    "batch_size = 128 # Initially 128\n",
    "input_size = 112\n",
    "embd_shape = 512\n",
    "head_type = 'ArcHead'\n",
    "backbone_type = 'MobileNetV2' # MobileNetV2, ResNet50, EfficientNetLite0~6\n",
    "w_decay=5e-4\n",
    "num_classes = 85742 \n",
    "dataset_len = 5822653 \n",
    "base_lr = 0.01 # initially 0.01\n",
    "epochs = 20\n",
    "save_steps = 1000\n",
    "train_size = int(0.8 * dataset_len)\n",
    "steps_per_epoch = train_size // batch_size\n",
    "val_size = dataset_len - train_size\n",
    "validation_steps = val_size // batch_size\n",
    "steps = 1\n",
    "is_ccrop=False\n",
    "binary_img=True\n",
    "is_Adam = False\n",
    "\n",
    "dgx = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n",
      "/raid/workspace/jbpark/FaceRecognition/checkpoints/wo_tfidentity/ms1m_mobilenet_check/SGD/e_5_l_16.65623664855957.ckpt\n"
     ]
    }
   ],
   "source": [
    "from glob import glob\n",
    "if dgx:\n",
    "    base_dir = \"/raid/workspace/jbpark/FaceRecognition/checkpoints/wo_tfidentity/\"\n",
    "#     base_dir = \"/raid/workspace/jbpark/FaceRecognition/checkpoints/wo_tfidentity/\"\n",
    "#     save_name = \"ms1m_mobilenet_check/SGD/*\"\n",
    "    save_name = \"ms1m_mobilenet_check/SGD/e*\"\n",
    "else:\n",
    "    base_dir = \"/hd/jbpark/models/checkpoints/w_tfidentity/\"\n",
    "    save_name = \"ms1m_check/SGD/*\"\n",
    "file_list = []\n",
    "for files in glob(base_dir+save_name):\n",
    "    file_list.append(files.split('/')[-1].split('l_')[-1])\n",
    "file_list.sort()\n",
    "\n",
    "load_file_name = []\n",
    "for files in glob(base_dir+save_name):\n",
    "    if file_list[0] == files.split('/')[-1].split('l_')[-1]:\n",
    "        load_file_name = files\n",
    "best_checkpoint = load_file_name.split('.data')[0]\n",
    "initial_epoch = int(load_file_name.split('e_')[-1].split('_')[0])-1\n",
    "print(initial_epoch)\n",
    "print(best_checkpoint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16\n"
     ]
    }
   ],
   "source": [
    "accuracy = file_list[0].split('.')[0]\n",
    "print(accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Without Quantization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "weight_file = best_checkpoint\n",
    "\n",
    "model = ArcFaceModel(size=input_size,\n",
    "                         backbone_type=backbone_type,\n",
    "                         training=False)\n",
    "model.load_weights(weight_file)\n",
    "\n",
    "# Convert the model.\n",
    "converter = tf.lite.TFLiteConverter.from_keras_model(model)\n",
    "tflite_model = converter.convert()\n",
    "\n",
    "# Save the TF Lite model.\n",
    "if dgx:\n",
    "    Path('/raid/workspace/jbpark/FaceRecognition/tflite/').mkdir(parents=True, exist_ok=True)\n",
    "    with tf.io.gfile.GFile('/raid/workspace/jbpark/FaceRecognition/tflite/ms1m_acc_'+str(accuracy)+'.tflite', 'wb') as f:\n",
    "        f.write(tflite_model)\n",
    "else:\n",
    "    Path('/hd/jbpark/models/tflite/').mkdir(parents=True, exist_ok=True)\n",
    "    with tf.io.gfile.GFile('/hd/jbpark/models/tflite/ms1m_acc_'+str(accuracy)+'.tflite', 'wb') as f:\n",
    "        f.write(tflite_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### With Qunatization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# train_data_dir = \"/raid/workspace/jbpark/IJB-C_Asian/\"\n",
    "# tfrecord_name = train_data_dir+'ijbc_bin.tfrecord'\n",
    "if dgx:\n",
    "    train_data_dir = \"/raid/workspace/jbpark/ms1m/\"\n",
    "    tfrecord_name = train_data_dir+'ms1m_bin.tfrecord'\n",
    "else:\n",
    "    train_data_dir = \"/hd/jbpark/dataset/ms1m/\"\n",
    "    tfrecord_name = train_data_dir+'ms1m_bin.tfrecord'\n",
    "\n",
    "\n",
    "train_dataset = dataset.load_representative_dataset(\n",
    "    tfrecord_name, batch_size=1, train_size=train_size, binary_img=binary_img,\n",
    "    is_ccrop=is_ccrop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def representative_data_gen():\n",
    "    count=0\n",
    "    for input_value in train_dataset:\n",
    "        count+=1\n",
    "        if count > 100: return\n",
    "        yield [input_value]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "         ...,\n",
      "         [0.4097412 , 0.5206447 , 0.6537291 ],\n",
      "         [0.41309598, 0.5239995 , 0.65708387],\n",
      "         [0.41479635, 0.52569985, 0.6587842 ]]]], dtype=float32)>]\n",
      "[<tf.Tensor: shape=(1, 112, 112, 3), dtype=float32, numpy=\n",
      "array([[[[0.40738258, 0.2963467 , 0.23776205],\n",
      "         [0.43120307, 0.3178274 , 0.26874945],\n",
      "         [0.45801064, 0.34495303, 0.30080444],\n",
      "         ...,\n",
      "         [0.43984276, 0.3084533 , 0.2530262 ],\n",
      "         [0.42954865, 0.29553545, 0.23883626],\n",
      "         [0.4433354 , 0.30594888, 0.24761415]],\n",
      "\n",
      "        [[0.41982132, 0.30878538, 0.25433508],\n",
      "         [0.43742242, 0.32436475, 0.2751278 ],\n",
      "         [0.45522267, 0.3469354 , 0.3004016 ],\n",
      "         ...,\n",
      "         [0.46407682, 0.32505476, 0.26708347],\n",
      "         [0.47780234, 0.33504346, 0.27580008],\n",
      "         [0.5061724 , 0.3586091 , 0.29773018]],\n",
      "\n",
      "        [[0.39541873, 0.28438285, 0.23022783],\n",
      "         [0.3988348 , 0.28579983, 0.23655152],\n",
      "         [0.4048397 , 0.29689315, 0.250189  ],\n",
      "         ...,\n",
      "         [0.5448672 , 0.40766248, 0.35157663],\n",
      "         [0.5700664 , 0.4311125 , 0.37065378],\n",
      "         [0.6010713 , 0.45986852, 0.3964454 ]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[0.30272573, 0.19975397, 0.16310167],\n",
      "         [0.26021653, 0.16499095, 0.13175741],\n",
      "         [0.2505658 , 0.1604286 , 0.1275131 ],\n",
      "         ...,\n",
      "         [0.26562402, 0.21781814, 0.20531297],\n",
      "         [0.2853544 , 0.23047249, 0.21431004],\n",
      "         [0.2831179 , 0.2233293 , 0.20624685]],\n",
      "\n",
      "        [[0.3189788 , 0.21482582, 0.17322142],\n",
      "         [0.27930355, 0.18165873, 0.14391606],\n",
      "         [0.24520428, 0.15185277, 0.11236097],\n",
      "         ...,\n",
      "         [0.26456702, 0.21768117, 0.20241599],\n",
      "         [0.27282378, 0.2195774 , 0.19922383],\n",
      "         [0.26401556, 0.20586254, 0.18494107]],\n",
      "\n",
      "        [[0.34405538, 0.23834637, 0.19138099],\n",
      "         [0.3084549 , 0.2111508 , 0.16702493],\n",
      "         [0.26727843, 0.17394963, 0.1303008 ],\n",
      "         ...,\n",
      "         [0.24315159, 0.19626571, 0.1805235 ],\n",
      "         [0.24186482, 0.18861847, 0.16826491],\n",
      "         [0.23388381, 0.1757308 , 0.15321921]]]], dtype=float32)>]\n",
      "[<tf.Tensor: shape=(1, 112, 112, 3), dtype=float32, numpy=\n",
      "array([[[[0.71172076, 0.7265221 , 0.75360864],\n",
      "         [0.7673553 , 0.7822993 , 0.80209213],\n",
      "         [0.80526656, 0.81830555, 0.8329745 ],\n",
      "         ...,\n",
      "         [0.13982193, 0.13199852, 0.11374389],\n",
      "         [0.14994755, 0.14212413, 0.12386949],\n",
      "         [0.15717794, 0.14935452, 0.1310999 ]],\n",
      "\n",
      "        [[0.7126122 , 0.73068345, 0.7597055 ],\n",
      "         [0.76416373, 0.7837223 , 0.80488014],\n",
      "         [0.79874027, 0.81471306, 0.8323158 ],\n",
      "         ...,\n",
      "         [0.11157438, 0.10375097, 0.08549634],\n",
      "         [0.12943591, 0.12161249, 0.10335785],\n",
      "         [0.14550515, 0.13768172, 0.11942709]],\n",
      "\n",
      "        [[0.71408886, 0.73494107, 0.7656032 ],\n",
      "         [0.76300037, 0.78633815, 0.8101344 ],\n",
      "         [0.7920417 , 0.8125782 , 0.83403146],\n",
      "         ...,\n",
      "         [0.09334522, 0.0855218 , 0.069549  ],\n",
      "         [0.11292242, 0.105099  , 0.08755744],\n",
      "         [0.13199411, 0.12417069, 0.10591607]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[0.22542243, 0.20048529, 0.17554817],\n",
      "         [0.22177659, 0.19830635, 0.1748361 ],\n",
      "         [0.2145462 , 0.19352077, 0.17005053],\n",
      "         ...,\n",
      "         [0.14797145, 0.12971681, 0.10885437],\n",
      "         [0.13223922, 0.11398458, 0.09312214],\n",
      "         [0.11728823, 0.09903359, 0.07817116]],\n",
      "\n",
      "        [[0.23635992, 0.21142279, 0.18648566],\n",
      "         [0.24343714, 0.21996689, 0.19649664],\n",
      "         [0.23792243, 0.21689701, 0.19342677],\n",
      "         ...,\n",
      "         [0.14861482, 0.1303602 , 0.10949775],\n",
      "         [0.13223922, 0.11398458, 0.09312214],\n",
      "         [0.11728823, 0.09903359, 0.07817116]],\n",
      "\n",
      "        [[0.22897635, 0.20403922, 0.1791021 ],\n",
      "         [0.23861177, 0.21646579, 0.19233342],\n",
      "         [0.23321961, 0.2156373 , 0.1904455 ],\n",
      "         ...,\n",
      "         [0.14288567, 0.12463102, 0.10376859],\n",
      "         [0.12805723, 0.10980259, 0.08894015],\n",
      "         [0.11768652, 0.09943188, 0.07856944]]]], dtype=float32)>]\n",
      "[<tf.Tensor: shape=(1, 112, 112, 3), dtype=float32, numpy=\n",
      "array([[[[0.856711  , 0.92850554, 0.9491587 ],\n",
      "         [0.8324343 , 0.905868  , 0.9157029 ],\n",
      "         [0.73723537, 0.81066906, 0.8136195 ],\n",
      "         ...,\n",
      "         [0.2353842 , 0.23636766, 0.1947334 ],\n",
      "         [0.28423792, 0.2989902 , 0.26194555],\n",
      "         [0.28880295, 0.30027696, 0.2720837 ]],\n",
      "\n",
      "        [[0.8616436 , 0.9334381 , 0.9540913 ],\n",
      "         [0.82535714, 0.8987908 , 0.90862566],\n",
      "         [0.69412875, 0.76756245, 0.7705129 ],\n",
      "         ...,\n",
      "         [0.22251654, 0.22350001, 0.18186575],\n",
      "         [0.28338006, 0.29813236, 0.2610877 ],\n",
      "         [0.28880295, 0.30027696, 0.2720837 ]],\n",
      "\n",
      "        [[0.86538136, 0.93717587, 0.95782906],\n",
      "         [0.82047045, 0.89390415, 0.903739  ],\n",
      "         [0.6671527 , 0.74058634, 0.7435368 ],\n",
      "         ...,\n",
      "         [0.20989707, 0.20635243, 0.17697076],\n",
      "         [0.284606  , 0.2911011 , 0.25885093],\n",
      "         [0.28661743, 0.29649326, 0.26909906]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[0.79841053, 0.82687014, 0.8157854 ],\n",
      "         [0.6152506 , 0.6388953 , 0.62178665],\n",
      "         [0.48234951, 0.49681497, 0.47382593],\n",
      "         ...,\n",
      "         [0.36369607, 0.3492716 , 0.32304528],\n",
      "         [0.50596315, 0.5098971 , 0.48367077],\n",
      "         [0.52809256, 0.52907604, 0.5156351 ]],\n",
      "\n",
      "        [[0.74974006, 0.7743272 , 0.75826365],\n",
      "         [0.57758653, 0.5949614 , 0.5769309 ],\n",
      "         [0.4729942 , 0.48118997, 0.45856977],\n",
      "         ...,\n",
      "         [0.32222855, 0.30780405, 0.28157777],\n",
      "         [0.47757772, 0.48151165, 0.45528534],\n",
      "         [0.5329026 , 0.5338861 , 0.5204451 ]],\n",
      "\n",
      "        [[0.71742415, 0.7399829 , 0.7245954 ],\n",
      "         [0.559392  , 0.5754761 , 0.5578758 ],\n",
      "         [0.47377548, 0.4819712 , 0.459351  ],\n",
      "         ...,\n",
      "         [0.27717647, 0.262752  , 0.23652571],\n",
      "         [0.4468945 , 0.45082843, 0.42460212],\n",
      "         [0.5534296 , 0.554413  , 0.54097205]]]], dtype=float32)>]\n",
      "[<tf.Tensor: shape=(1, 112, 112, 3), dtype=float32, numpy=\n",
      "array([[[[0.03272889, 0.02878969, 0.01303288],\n",
      "         [0.02929752, 0.02535832, 0.00960151],\n",
      "         [0.02758183, 0.02364263, 0.00788582],\n",
      "         ...,\n",
      "         [0.3552779 , 0.32745725, 0.25630543],\n",
      "         [0.3552779 , 0.32745725, 0.25630543],\n",
      "         [0.35547704, 0.32765642, 0.2565046 ]],\n",
      "\n",
      "        [[0.03272889, 0.02878969, 0.01303288],\n",
      "         [0.02929752, 0.02535832, 0.00960151],\n",
      "         [0.02758183, 0.02364263, 0.00788582],\n",
      "         ...,\n",
      "         [0.38616025, 0.35489282, 0.28029418],\n",
      "         [0.38616025, 0.35489282, 0.28029418],\n",
      "         [0.38914737, 0.35787997, 0.28328133]],\n",
      "\n",
      "        [[0.0337246 , 0.0297854 , 0.01402859],\n",
      "         [0.02750524, 0.02356604, 0.00780923],\n",
      "         [0.02439556, 0.02045636, 0.00469955],\n",
      "         ...,\n",
      "         [0.43616024, 0.3822424 , 0.29459518],\n",
      "         [0.43616024, 0.3822424 , 0.29459518],\n",
      "         [0.43934652, 0.38542873, 0.29778147]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[0.09722869, 0.1090463 , 0.08147188],\n",
      "         [0.08177219, 0.0935898 , 0.06601539],\n",
      "         [0.08017916, 0.08854997, 0.06269895],\n",
      "         ...,\n",
      "         [0.97889924, 0.9710978 , 0.8344875 ],\n",
      "         [0.9904801 , 0.98375577, 0.86136353],\n",
      "         [0.99309963, 0.9900529 , 0.8764777 ]],\n",
      "\n",
      "        [[0.12004363, 0.13063024, 0.10551783],\n",
      "         [0.09600871, 0.10659532, 0.08148291],\n",
      "         [0.08251069, 0.09018906, 0.06626149],\n",
      "         ...,\n",
      "         [1.0001309 , 0.9902829 , 0.8763692 ],\n",
      "         [1.0001309 , 0.99717647, 0.8946803 ],\n",
      "         [1.0001309 , 0.9986691 , 0.90458983]],\n",
      "\n",
      "        [[0.14153247, 0.14941087, 0.12971486],\n",
      "         [0.11512317, 0.12300156, 0.10330556],\n",
      "         [0.09325588, 0.09941088, 0.07971487],\n",
      "         ...,\n",
      "         [0.99806285, 0.9841371 , 0.889504  ],\n",
      "         [0.999993  , 0.99102205, 0.9088836 ],\n",
      "         [1.0001309 , 0.9953146 , 0.91906947]]]], dtype=float32)>]\n",
      "[<tf.Tensor: shape=(1, 112, 112, 3), dtype=float32, numpy=\n",
      "array([[[[1.0009097 , 0.99892795, 0.97668755],\n",
      "         [1.0009097 , 0.9973865 , 0.97977036],\n",
      "         [1.0009097 , 0.9973865 , 0.97977036],\n",
      "         ...,\n",
      "         [0.67151326, 0.46422115, 0.3262374 ],\n",
      "         [0.68721485, 0.48992816, 0.35910094],\n",
      "         [0.67174304, 0.4830029 , 0.35616687]],\n",
      "\n",
      "        [[1.0009097 , 0.99892795, 0.97668755],\n",
      "         [1.0009097 , 0.9973865 , 0.97977036],\n",
      "         [1.0009097 , 0.9973865 , 0.97977036],\n",
      "         ...,\n",
      "         [0.69568604, 0.48727918, 0.34204254],\n",
      "         [0.703376  , 0.50087327, 0.36295834],\n",
      "         [0.6801377 , 0.48508045, 0.35119796]],\n",
      "\n",
      "        [[1.0009097 , 0.99892795, 0.97668755],\n",
      "         [1.0009097 , 0.9973865 , 0.97977036],\n",
      "         [1.0009097 , 0.9973865 , 0.97977036],\n",
      "         ...,\n",
      "         [0.70126206, 0.49006134, 0.33865908],\n",
      "         [0.69597715, 0.48913914, 0.34380618],\n",
      "         [0.6651254 , 0.4643843 , 0.32385445]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[0.71645814, 0.6225285 , 0.5099367 ],\n",
      "         [0.7165654 , 0.623888  , 0.5067684 ],\n",
      "         [0.71570754, 0.61968595, 0.5012864 ],\n",
      "         ...,\n",
      "         [0.6754195 , 0.49573514, 0.33719006],\n",
      "         [0.6820372 , 0.5023528 , 0.34344992],\n",
      "         [0.691596  , 0.51191163, 0.35292616]],\n",
      "\n",
      "        [[0.7110966 , 0.60618436, 0.48029798],\n",
      "         [0.7127051 , 0.604999  , 0.47593346],\n",
      "         [0.7135629 , 0.6019345 , 0.46908423],\n",
      "         ...,\n",
      "         [0.6788509 , 0.49916655, 0.34062147],\n",
      "         [0.68546855, 0.50578415, 0.34187174],\n",
      "         [0.69502735, 0.515343  , 0.35019186]],\n",
      "\n",
      "        [[0.7089214 , 0.58891153, 0.45312986],\n",
      "         [0.71063703, 0.58754444, 0.44617513],\n",
      "         [0.7134097 , 0.5863534 , 0.44102052],\n",
      "         ...,\n",
      "         [0.68546855, 0.5029215 , 0.33865127],\n",
      "         [0.694675  , 0.512128  , 0.3444584 ],\n",
      "         [0.7048313 , 0.5222842 , 0.35383016]]]], dtype=float32)>]\n",
      "[<tf.Tensor: shape=(1, 112, 112, 3), dtype=float32, numpy=\n",
      "array([[[[0.7335765 , 0.6971177 , 0.6606589 ],\n",
      "         [0.7257793 , 0.68932045, 0.65286165],\n",
      "         [0.71288097, 0.6722446 , 0.6378746 ],\n",
      "         ...,\n",
      "         [0.7370536 , 0.73742145, 0.7066594 ],\n",
      "         [0.7451068 , 0.750044  , 0.7174067 ],\n",
      "         [0.75526315, 0.7602002 , 0.7284887 ]],\n",
      "\n",
      "        [[0.7305434 , 0.6940846 , 0.65762573],\n",
      "         [0.7195599 , 0.6831011 , 0.64664227],\n",
      "         [0.7039962 , 0.6633598 , 0.62898976],\n",
      "         ...,\n",
      "         [0.741726  , 0.7354121 , 0.7067863 ],\n",
      "         [0.7449582 , 0.7443885 , 0.7153354 ],\n",
      "         [0.75750417, 0.7569344 , 0.7328185 ]],\n",
      "\n",
      "        [[0.727112  , 0.69065326, 0.6541944 ],\n",
      "         [0.7133405 , 0.6768818 , 0.640423  ],\n",
      "         [0.6994925 , 0.6588562 , 0.62448615],\n",
      "         ...,\n",
      "         [0.74730194, 0.74032354, 0.7070454 ],\n",
      "         [0.7546089 , 0.7460639 , 0.7196692 ],\n",
      "         [0.7643669 , 0.7558219 , 0.73436433]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[0.4567689 , 0.34435427, 0.18617626],\n",
      "         [0.45856118, 0.343678  , 0.19309558],\n",
      "         [0.4532456 , 0.34340638, 0.20171314],\n",
      "         ...,\n",
      "         [0.42127562, 0.32006449, 0.19834529],\n",
      "         [0.4186102 , 0.31531027, 0.19985741],\n",
      "         [0.41363165, 0.31033173, 0.19487885]],\n",
      "\n",
      "        [[0.4532303 , 0.34081566, 0.18272077],\n",
      "         [0.45652378, 0.34164062, 0.1910582 ],\n",
      "         [0.45152992, 0.34443218, 0.20182513],\n",
      "         ...,\n",
      "         [0.42309853, 0.3218874 , 0.2001682 ],\n",
      "         [0.41560775, 0.31230783, 0.19685496],\n",
      "         [0.4050532 , 0.30175328, 0.18630044]],\n",
      "\n",
      "        [[0.44843554, 0.33602095, 0.17803282],\n",
      "         [0.45087123, 0.3375309 , 0.18617706],\n",
      "         [0.45205075, 0.34554642, 0.2026427 ],\n",
      "         ...,\n",
      "         [0.4243853 , 0.32317418, 0.20145495],\n",
      "         [0.41070578, 0.30740586, 0.19195299],\n",
      "         [0.39377868, 0.2904788 , 0.17502594]]]], dtype=float32)>]\n"
     ]
    }
   ],
   "source": [
    "for data in representative_data_gen():\n",
    "    print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v2/mobilenet_v2_weights_tf_dim_ordering_tf_kernels_1.0_224_no_top.h5\n",
      "9412608/9406464 [==============================] - 0s 0us/step\n"
     ]
    }
   ],
   "source": [
    "weight_file = best_checkpoint\n",
    "\n",
    "model = ArcFaceModel(size=input_size,\n",
    "                         backbone_type=backbone_type,\n",
    "                         training=False)\n",
    "model.load_weights(weight_file)\n",
    "\n",
    "# Convert the model.\n",
    "model.input.set_shape((1,) + model.input.shape[1:])\n",
    "converter = tf.lite.TFLiteConverter.from_keras_model(model)\n",
    "converter.optimizations = [tf.lite.Optimize.DEFAULT]\n",
    "converter.representative_dataset = representative_data_gen\n",
    "# Ensure that if any ops can't be quantized, the converter throws an error\n",
    "converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS_INT8]\n",
    "# Set the input and output tensors to uint8 (APIs added in r2.3)\n",
    "converter.target_spec.supported_types = [tf.int8]\n",
    "converter.inference_input_type = tf.uint8\n",
    "converter.inference_output_type = tf.uint8\n",
    "\n",
    "tflite_model_quant = converter.convert()\n",
    "\n",
    "# Save the TF Lite model.\n",
    "if dgx:\n",
    "    Path('/raid/workspace/jbpark/FaceRecognition/tflite/').mkdir(parents=True, exist_ok=True)\n",
    "    with tf.io.gfile.GFile('/raid/workspace/jbpark/FaceRecognition/tflite/ms1m_acc_'+str(accuracy)+'.tflite', 'wb') as f:\n",
    "        f.write(tflite_model_quant)\n",
    "else:\n",
    "    Path('/hd/jbpark/models/tflite/').mkdir(parents=True, exist_ok=True)\n",
    "    with tf.io.gfile.GFile('/hd/jbpark/models/tflite/ms1m_acc_'+str(accuracy)+'.tflite', 'wb') as f:\n",
    "        f.write(tflite_model_quant)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Input / Output Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'name': 'input_image',\n",
       "  'index': 182,\n",
       "  'shape': array([  1, 112, 112,   3], dtype=int32),\n",
       "  'shape_signature': array([  1, 112, 112,   3], dtype=int32),\n",
       "  'dtype': numpy.uint8,\n",
       "  'quantization': (0.003933776170015335, 0),\n",
       "  'quantization_parameters': {'scales': array([0.00393378], dtype=float32),\n",
       "   'zero_points': array([0], dtype=int32),\n",
       "   'quantized_dimension': 0},\n",
       "  'sparsity_parameters': {}}]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "\n",
    "# Load the TFLite model and allocate tensors.\n",
    "if dgx:\n",
    "    interpreter = tf.lite.Interpreter(model_path='/raid/workspace/jbpark/FaceRecognition/tflite/ms1m_mobilenetv2_'+str(accuracy)+'_quant.tflite')\n",
    "else:\n",
    "    interpreter = tf.lite.Interpreter(model_path='/hd/jbpark/models/tflite/ms1m_acc_'+str(accuracy)+'.tflite')\n",
    "interpreter.allocate_tensors()\n",
    "\n",
    "# Get input and output tensors.\n",
    "input_details = interpreter.get_input_details()\n",
    "input_details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'name': 'Identity',\n",
       "  'index': 183,\n",
       "  'shape': array([  1, 512], dtype=int32),\n",
       "  'shape_signature': array([  1, 512], dtype=int32),\n",
       "  'dtype': numpy.uint8,\n",
       "  'quantization': (0.04355792701244354, 127),\n",
       "  'quantization_parameters': {'scales': array([0.04355793], dtype=float32),\n",
       "   'zero_points': array([127], dtype=int32),\n",
       "   'quantized_dimension': 0},\n",
       "  'sparsity_parameters': {}}]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_details = interpreter.get_output_details()\n",
    "output_details"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extract Embedding Vectors & Create Classifier Training Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "from utils import l2_norm\n",
    "from glob import glob\n",
    "from tqdm import tqdm\n",
    "\n",
    "dataset_path = \"/raid/workspace/jbpark/IJB-C_Asian/Aligned/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 3585/3585 [00:00<00:00, 45813.06it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "3585"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os \n",
    "from tqdm import tqdm\n",
    "id_list = os.listdir(dataset_path)\n",
    "id_list.sort()\n",
    "source_id = []\n",
    "for id_name in tqdm(id_list):\n",
    "    source_id.append(int(id_list.index(id_name)))\n",
    "len(np.unique(np.array(source_id)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 3585/3585 [47:24<00:00,  1.26it/s]  \n"
     ]
    }
   ],
   "source": [
    "subjects = id_list\n",
    "label_int = source_id\n",
    "embed_list = []\n",
    "label_list = []\n",
    "for subject in tqdm(subjects):\n",
    "#     print(\"[*] Encode {} to Embedding Vector ({})\".format(subject,embd_shape))\n",
    "    img_paths = glob(dataset_path+subject+\"/*\")\n",
    "    for img_path in img_paths:\n",
    "#         print(\"[*] Encode {} to ./output_embeds.npy\".format(img))\n",
    "        img = cv2.imread(img_path)\n",
    "        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "        img = cv2.resize(img, (112,112))\n",
    "        img = img.astype(np.uint8) \n",
    "        # print(\"len(img.shape): \"+str(len(img.shape))+ \", img.shape = \"+str(img.shape))\n",
    "        if len(img.shape) == 3:\n",
    "            img = np.expand_dims(img, 0)\n",
    "\n",
    "        interpreter.set_tensor(input_details[0]['index'], img)\n",
    "        interpreter.invoke()\n",
    "        output_data = interpreter.get_tensor(output_details[0]['index'])\n",
    "    #     print(\"len(img.shape): \"+str(len(img.shape))+ \", img.shape = \"+str(img.shape))\n",
    "        embeds = l2_norm(output_data)\n",
    "    #     embeds.shape\n",
    "    #     embeds\n",
    "        embed_list.append(embeds[0])\n",
    "        label_list.append(label_int[subjects.index(subject)])\n",
    "embed_list = np.asarray(embed_list)\n",
    "label_list = np.asarray(label_list)\n",
    "# embed_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "save_path = \"/raid/workspace/jbpark/IJB-C_Asian/Quant/\"\n",
    "np.save(save_path+'ijbc_embed_vectors.npy', embed_list)\n",
    "np.save(save_path+'ijbc_labels.npy', label_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 3585/3585 [00:00<00:00, 32525.94it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(3585, 512)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_path = \"/raid/workspace/jbpark/IJB-C_Asian/Aligned/\"\n",
    "id_list = os.listdir(dataset_path)\n",
    "id_list.sort()\n",
    "\n",
    "unique_labels = np.unique(label_list)\n",
    "\n",
    "centroid_list = []\n",
    "for i in tqdm(unique_labels):\n",
    "    temp_list = np.where(label_list==i)[0]\n",
    "    centroid = np.average(embed_list[temp_list],axis=0)\n",
    "    centroid_list.append(centroid)\n",
    "np.array(centroid_list).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['2 Chainz',\n",
       " '50 Cent',\n",
       " 'A. P. J. Abdul Kalam',\n",
       " 'A.K. Antony',\n",
       " 'AF0301',\n",
       " 'AF0302',\n",
       " 'AF0303',\n",
       " 'AF0304',\n",
       " 'AF0305',\n",
       " 'AF0306',\n",
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       " 'AF0312',\n",
       " 'AF0313',\n",
       " 'AF0314',\n",
       " 'AF0315',\n",
       " 'AF0316',\n",
       " 'AF0317',\n",
       " 'AF0318',\n",
       " 'AF0319',\n",
       " 'AF0320',\n",
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       " 'AF0322',\n",
       " 'AF0323',\n",
       " 'AF0325',\n",
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       " 'AF0327',\n",
       " 'AF0328',\n",
       " 'AF0329',\n",
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       " 'AF0331',\n",
       " 'AF0332',\n",
       " 'AF0333',\n",
       " 'AF0334',\n",
       " 'AF0336',\n",
       " 'AJ Lee',\n",
       " 'AM0301',\n",
       " 'AM0302',\n",
       " 'AM0303',\n",
       " 'AM0304',\n",
       " 'AM0305',\n",
       " 'AM0306',\n",
       " 'AM0307',\n",
       " 'AM0308',\n",
       " 'AM0309',\n",
       " 'AM0310',\n",
       " 'AM0311',\n",
       " 'AM0312',\n",
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       " 'AM0315',\n",
       " 'AM0316',\n",
       " 'AM0317',\n",
       " 'AM0318',\n",
       " 'AM0319',\n",
       " 'Aaron Paul',\n",
       " 'Aaron Sorkin',\n",
       " 'Abbas Kiarostami',\n",
       " 'Abby Wambach',\n",
       " 'Abdallah Djaballah',\n",
       " 'Abdel Fattah el-Sisi',\n",
       " 'Abdelilah Benkirane',\n",
       " 'Abdellah Taïa',\n",
       " 'Abdelmalek Sellal',\n",
       " 'Abderrahmane Sissako',\n",
       " 'Abdou Diouf',\n",
       " 'Abdoulaye Wade',\n",
       " 'Abdul Jabbar',\n",
       " 'Abdul Malik Baloch',\n",
       " 'Abdullah Abdullah',\n",
       " 'Abdullah Bin Zayed al-Nahyan',\n",
       " 'Abdullah Gül',\n",
       " 'Abdullah of Saudi Arabia',\n",
       " 'Abdurrahman Wahid',\n",
       " 'Abhishek Bachchan',\n",
       " 'Abhisit Vejjajiva',\n",
       " 'Abida Parveen',\n",
       " 'Abraham Samad',\n",
       " 'Achille Mbembe',\n",
       " 'Achim Steiner',\n",
       " 'Achinoam Nini',\n",
       " 'Adam Greenfield',\n",
       " 'Adam Jones',\n",
       " 'Adam Ondra',\n",
       " 'Adam Sandler',\n",
       " 'Adam Wainwright',\n",
       " 'Adeline Gray',\n",
       " 'Adil Hussain',\n",
       " 'Aditi Arya',\n",
       " 'Aditi Gowitrikar',\n",
       " 'Aditya Narayan',\n",
       " 'Adnan Oktar',\n",
       " 'Adolfo Pérez Esquivel',\n",
       " 'Adora Svitak',\n",
       " 'Adrian David Cheok',\n",
       " 'Adrian Minune',\n",
       " 'Adrian Nastase',\n",
       " 'Adriana Calcanhotto',\n",
       " 'Adriana Lima',\n",
       " 'Adriane Galisteu',\n",
       " 'Adrià Díaz',\n",
       " 'Adrián Paenza',\n",
       " 'Aécio Neves',\n",
       " 'Afef Jnifen',\n",
       " 'Afsaneh Bayegan',\n",
       " 'Agnes Binagwaho',\n",
       " 'Agnes Monica',\n",
       " 'Aguri Suzuki',\n",
       " 'Agustín Fernández Mallo',\n",
       " 'Agustín García Calvo',\n",
       " 'Ahdaf Soueif',\n",
       " 'Ahmad Jarba',\n",
       " 'Ahmad Khatami',\n",
       " 'Ahmed Deedat',\n",
       " 'Ahmed Maher',\n",
       " 'Ahmed Rashid',\n",
       " 'Ahmed Sékou Touré',\n",
       " 'Ahmed Zewail',\n",
       " 'Ahmet Davutoglu',\n",
       " 'Ai Weiwei',\n",
       " 'Aida Mbodj',\n",
       " 'Aishwarya Rai',\n",
       " 'Aishwarya Sakhuja',\n",
       " 'Aivis Ronis',\n",
       " 'Ajinkya Rahane',\n",
       " 'Ajith Kumar',\n",
       " 'Akihito',\n",
       " 'Akira Yamaoka',\n",
       " 'Akshara Haasan',\n",
       " 'Al Gore',\n",
       " 'Al Green',\n",
       " 'Al Pacino',\n",
       " 'Alain Badiou',\n",
       " 'Alain Connes',\n",
       " 'Alain Guiraudie',\n",
       " 'Alain Mabanckou',\n",
       " 'Alain Rey',\n",
       " 'Alain Traoré',\n",
       " 'Alain Veinstein',\n",
       " 'Alan García',\n",
       " 'Alan Moore',\n",
       " 'Alanis Morissette',\n",
       " 'Alastair Campbell',\n",
       " 'Albert del Rosario',\n",
       " 'Alberto Fabra',\n",
       " 'Alberto Garzón',\n",
       " 'Alberto Manguel',\n",
       " 'Alden Richards',\n",
       " 'Alec Baldwin',\n",
       " 'Aleida Guevara',\n",
       " 'Alejandro Dolina',\n",
       " 'Alejandro Toledo',\n",
       " 'Alejandro Valverde',\n",
       " 'Alek Skarlatos',\n",
       " 'Aleksander Kwasniewski',\n",
       " 'Alena Arshinova',\n",
       " 'Alessandra Ambrosio',\n",
       " 'Alessandro Barbero',\n",
       " 'Alessandro Molon',\n",
       " 'Alessia Russo',\n",
       " 'Aletta Ocean',\n",
       " 'Alex Callinicos',\n",
       " 'Alex Jones',\n",
       " 'Alex Shibutani',\n",
       " 'Alex Velea',\n",
       " 'Alexa Clay',\n",
       " \"Alexa O'Brien\",\n",
       " 'Alexander Butterfield',\n",
       " 'Alexander Lukashenko',\n",
       " 'Alexander Rusev',\n",
       " 'Alexander Zhukov',\n",
       " 'Alexandr Vondra',\n",
       " 'Alexandra Pelosi',\n",
       " 'Alexandra Soldatova',\n",
       " 'Alexandre Arcady',\n",
       " 'Alexandre Burrows',\n",
       " 'Alexandre Jardin',\n",
       " 'Alexei Filippenko',\n",
       " 'Alexei Petukhov',\n",
       " 'Alexei Rogonov',\n",
       " 'Alexy II',\n",
       " 'Alfonso Gomez-Rejon',\n",
       " \"Alhaji Yar'Adua\",\n",
       " 'Ali Fazal',\n",
       " 'Ali Khamenei',\n",
       " 'Ali Laarayedh',\n",
       " 'Ali Nasir',\n",
       " 'Ali Parvin',\n",
       " 'Alia Bhatt',\n",
       " 'Alice McDermott',\n",
       " 'Alice Schlesinger',\n",
       " 'Alice Zeniter',\n",
       " 'Alicia Castro',\n",
       " 'Alicia Keys',\n",
       " 'Alicia Kirchner',\n",
       " 'Alicia Silverstone',\n",
       " 'Alina Maksymenko',\n",
       " 'Alison Bechdel',\n",
       " 'Aliya Mustafina',\n",
       " 'Aliya Yussupova',\n",
       " 'Alkistis Protopsalti',\n",
       " 'Alla Kushnir',\n",
       " 'Allen Dulles',\n",
       " 'Allu Arjun',\n",
       " 'Allysha Chapman',\n",
       " 'Almudena Grandes',\n",
       " 'Aloizio Mercadante',\n",
       " 'Alpha Blondy',\n",
       " 'Alpha Condé',\n",
       " 'Alton Brown',\n",
       " 'Aly Raisman',\n",
       " 'Amado Boudou',\n",
       " 'Amal Clooney',\n",
       " 'Amanda Lear',\n",
       " 'Amanda Ripley',\n",
       " 'Amandine Bourgeois',\n",
       " 'Amantle Montsho',\n",
       " 'Amartya Sen',\n",
       " 'Amber Rose',\n",
       " 'Ameesha Patel',\n",
       " 'Amel Karboul',\n",
       " 'Amelia Andersdotter',\n",
       " 'Amer Khan',\n",
       " 'Aminata Traoré',\n",
       " 'Aminatou Haidar',\n",
       " 'Aminta Granera',\n",
       " 'Amir Mirza Hekmati',\n",
       " 'Amish Tripathi',\n",
       " 'Amol Palekar',\n",
       " 'Amory Lovins',\n",
       " 'Amos Gitai',\n",
       " 'Amos Oz',\n",
       " 'Amr Moussa',\n",
       " 'Amrinder Singh',\n",
       " 'Amrita Arora',\n",
       " 'Amrita Puri',\n",
       " 'Amrita Rao',\n",
       " 'Amy Childs',\n",
       " 'Amy Cuddy',\n",
       " 'Amy Jackson',\n",
       " 'Amy Klobuchar',\n",
       " 'Amy Purdy',\n",
       " 'Amy Winehouse',\n",
       " 'Ana Belén',\n",
       " 'Ana Blandiana',\n",
       " 'Ana Botella',\n",
       " 'Ana Paula Valadão',\n",
       " 'Ana Rosa',\n",
       " 'Ana Tijoux',\n",
       " 'Ana de Hollanda',\n",
       " 'Anand Sharma',\n",
       " 'Anandiben Patel',\n",
       " 'Anaso Jobodwana',\n",
       " 'Anders Borg',\n",
       " 'Anders Fogh Rasmussen',\n",
       " 'Anderson Freire',\n",
       " 'Anderson Silva',\n",
       " 'Andre Ethier',\n",
       " 'Andrea Echeverri',\n",
       " 'Andrea Iannone',\n",
       " 'Andrea Petkovic',\n",
       " 'Andreas Eschbach',\n",
       " 'Andreea Bănică',\n",
       " 'Andreea Munteanu',\n",
       " 'Andrei Codrescu',\n",
       " 'Andres Manuel Lopez Obrador',\n",
       " 'Andressa Soares',\n",
       " 'Andressa Urach',\n",
       " 'Andrew Bird',\n",
       " 'Andrew Cuomo',\n",
       " 'Andrew Mitchell',\n",
       " 'Andrew Natsios',\n",
       " 'André Santos',\n",
       " 'Andri Piebalgu',\n",
       " 'Andri Snær Magnason',\n",
       " 'Andry Rajoelina',\n",
       " 'Andrzej Gwiazda',\n",
       " 'André Comte-Sponville',\n",
       " 'André Gomes',\n",
       " 'Andrés Oppenheimer',\n",
       " 'Andrés Palomino',\n",
       " 'Andy Grammer',\n",
       " 'Andy Hertzfeld',\n",
       " 'Anelia Ralenkova',\n",
       " 'Angel Gurria',\n",
       " 'Angel Lelga',\n",
       " 'Angela Aki',\n",
       " 'Angela Davis',\n",
       " 'Angela Eagle',\n",
       " 'Angela Merkel',\n",
       " 'Angelina Jolie',\n",
       " 'Angelina Love',\n",
       " 'Angelino Alfano',\n",
       " 'Angélica Rivera',\n",
       " 'Angélique Kidjo',\n",
       " 'Angus King',\n",
       " 'Ani Lorak',\n",
       " 'Anibal Cavaco Silva',\n",
       " 'Anibal Fernandez',\n",
       " 'Anil Dash',\n",
       " 'Anil Kumar',\n",
       " 'Anita Anand',\n",
       " 'Anita Dongre',\n",
       " 'Anita Hill',\n",
       " 'Anita Sarkeesian',\n",
       " 'Ankit Bathla',\n",
       " 'Ankit Tiwari',\n",
       " 'Ankita Lokhande',\n",
       " 'Ann Coulter',\n",
       " 'Ann Harding',\n",
       " 'Ann Lewis',\n",
       " 'Ann Thongprasom',\n",
       " 'Anna Aaron',\n",
       " 'Anna Bessonova',\n",
       " 'Anna Chapman',\n",
       " 'Anna Dementyeva',\n",
       " 'Anna Eshoo',\n",
       " 'Anna Faris',\n",
       " 'Anna Hazare',\n",
       " 'Anna Kendrick',\n",
       " 'Anna Kournikova',\n",
       " 'Anna Maria Jopek',\n",
       " 'Anna Ráckevei',\n",
       " 'Anna Smith',\n",
       " 'Anna Vissi',\n",
       " 'Anna Wyszkoni',\n",
       " 'Anne Bouverot',\n",
       " 'Annett Louisan',\n",
       " 'Annick Girardin',\n",
       " 'Annie Leonard',\n",
       " 'Anousheh Ansari',\n",
       " 'Anthony Giddens',\n",
       " 'Antoine Compagnon',\n",
       " 'Antoine Westermann',\n",
       " 'Antoinette Sayeh',\n",
       " 'Anton Siluanov',\n",
       " 'Antone Smith',\n",
       " 'Antonio Brown',\n",
       " 'Antonio Guterres',\n",
       " 'Antonio José',\n",
       " 'Antonio Margarito',\n",
       " 'Antonio Moresco',\n",
       " 'Antonio Patriota',\n",
       " 'Antonio Villaraigosa',\n",
       " 'Anudith Nakornthap',\n",
       " 'Anup Jalota',\n",
       " 'Anupam Kher',\n",
       " 'Anurag Basu',\n",
       " 'Anushka Sharma',\n",
       " 'Anwar Ibrahim',\n",
       " 'Anwar Masood',\n",
       " 'Aoi Miyazaki',\n",
       " 'Apichatpong Weerasethakul',\n",
       " 'April Ashley',\n",
       " 'Aravane Rezaï',\n",
       " 'Archana Gupta',\n",
       " 'Arda Turan',\n",
       " 'Aretha Franklin',\n",
       " 'Arianny Celeste',\n",
       " 'Ariano Suassuna',\n",
       " 'Arijit Singh',\n",
       " 'Arjun Kapoor',\n",
       " 'Arjun Rampal',\n",
       " 'Arlette Chabot',\n",
       " 'Arnaud Desplechin',\n",
       " 'Arnold Ruutel',\n",
       " 'Arnon Grunberg',\n",
       " 'Arseniy Yatsenyuk',\n",
       " 'Arsinée Khanjian',\n",
       " 'Artemy Troitsky',\n",
       " 'Arthur Abraham',\n",
       " 'Arun Jaitley',\n",
       " 'Arun Majumdar',\n",
       " 'Arun Shourie',\n",
       " 'Aruna Irani',\n",
       " 'Arundhati Roy',\n",
       " 'Arvind Kejriwal',\n",
       " 'Arvind Subramanian',\n",
       " 'Arzetti Bilbina',\n",
       " 'Asaduddin Owaisi',\n",
       " 'Asaf Avidan',\n",
       " 'Asbel Kiprop',\n",
       " 'Asfa-Wossen Asserate',\n",
       " 'Asghar Farhadi',\n",
       " 'Asha Negi',\n",
       " 'Asha Parekh',\n",
       " 'Ashmit Patel',\n",
       " 'Ashton B. Carter',\n",
       " 'Asif Ali',\n",
       " 'Asin',\n",
       " 'Asma Jahangir',\n",
       " 'Asma al-Assad',\n",
       " 'Asmaa Mahfouz',\n",
       " 'Assala Nasri',\n",
       " 'Astra Taylor',\n",
       " 'Atal Bihari Vajpayee',\n",
       " 'Athiya Shetty',\n",
       " 'Atifete Jahjaga',\n",
       " 'Atiq Rahimi',\n",
       " 'Atiqah Hasiholan',\n",
       " 'Atle Pettersen',\n",
       " 'Audrey Lamy',\n",
       " 'Augusto Pinochet',\n",
       " 'Aung San Suu Kyi',\n",
       " 'Aura Kasih',\n",
       " 'Aurélien Bellanger',\n",
       " 'Austin Mahone',\n",
       " 'Averil Power',\n",
       " 'Avi Primor',\n",
       " 'Avram Hershko',\n",
       " 'Awa Marie Coll-Seck',\n",
       " 'Axel Honneth',\n",
       " 'Axel Kahn',\n",
       " 'Aya Korem',\n",
       " 'Ayaan Hirsi Ali',\n",
       " 'Ayah Bdeir',\n",
       " 'Ayaka Takahashi',\n",
       " 'Ayat Najafi',\n",
       " 'Ayesha Siddiqa',\n",
       " 'Ayesha Takia',\n",
       " 'Ayman Odeh',\n",
       " 'Ayrton Senna',\n",
       " 'Ayu Ting Ting',\n",
       " 'Ayumi Kurihara',\n",
       " 'Azar Nafisi',\n",
       " 'Aziz Ansari',\n",
       " 'Álvaro Uribe',\n",
       " 'Baaba Maal',\n",
       " 'Babi Rossi',\n",
       " 'Baby K',\n",
       " 'Baby Margaretha',\n",
       " 'Bae Suzy',\n",
       " 'Baek Ji-young',\n",
       " 'Bafétimbi Gomis',\n",
       " 'Bahram Moshiri',\n",
       " 'Bai Koroma',\n",
       " 'Ban Ki-moon',\n",
       " 'Banri Kaieda',\n",
       " 'Barack Obama',\n",
       " 'Barbara Hendricks',\n",
       " 'Barbara Lee',\n",
       " 'Barbara Lezzi',\n",
       " 'Barbara Morgan',\n",
       " 'Barbara Palvin',\n",
       " 'Barbara Walters',\n",
       " 'Barbora Bobuľová',\n",
       " 'Barbora Strýcová',\n",
       " 'Barnaby Joyce',\n",
       " 'Basel Ghattas',\n",
       " 'Bashar al-Assad',\n",
       " 'Basia Bulat',\n",
       " 'Bassekou Kouyate',\n",
       " 'Bassem Youssef',\n",
       " 'Bastien Vivès',\n",
       " 'Bárbara Mori',\n",
       " 'Bea Alonzo',\n",
       " 'Beata Szydło',\n",
       " 'Beate Klarsfeld',\n",
       " 'Beatriz Haddad Maia',\n",
       " 'Beau Willimon',\n",
       " 'Becky Anderson',\n",
       " 'Behati Prinsloo',\n",
       " 'Beji Caid Essebsi',\n",
       " 'Belén Rodríguez',\n",
       " 'Bella Thorne',\n",
       " 'Ben Lyon',\n",
       " 'Ben Sinclair',\n",
       " 'Benazir Bhutto',\n",
       " 'Benigno Aquino III',\n",
       " 'Benjamin Netanyahu',\n",
       " 'Benjamin Stora',\n",
       " 'Benjamín Vicuña',\n",
       " 'Beppe Grillo',\n",
       " 'Bernard Landry',\n",
       " 'Bernard Lavilliers',\n",
       " 'Bernardine Dohrn',\n",
       " 'Bernardo Kliksberg',\n",
       " 'Bernie Sanders',\n",
       " 'Berta Soler',\n",
       " 'Berto Romero',\n",
       " 'Beth Carvalho',\n",
       " 'Beth Comstock',\n",
       " 'Beth Tweddle',\n",
       " 'Bethe Correia',\n",
       " 'Betty Cantrell',\n",
       " 'Betty McCollum',\n",
       " 'Beverley Knight',\n",
       " 'Bhagyashree Patwardhan',\n",
       " 'Bharti Singh',\n",
       " 'Bickram Ghosh',\n",
       " 'Big L',\n",
       " 'Big Sean',\n",
       " 'Bilal Philips',\n",
       " 'Bill Clinton',\n",
       " 'Bill English',\n",
       " 'Bill Gates',\n",
       " 'Bill Maher',\n",
       " 'Bill Nye',\n",
       " \"Bill O'Reilly\",\n",
       " 'Bill Posey',\n",
       " 'Bill Russell',\n",
       " 'Bill de Blasio',\n",
       " 'Binyavanga Wainaina',\n",
       " 'Bipasha Basu',\n",
       " 'Birgitta Jónsdóttir',\n",
       " 'Bjarke Ingels',\n",
       " 'Black Kent',\n",
       " 'Blaise Compaoré',\n",
       " 'Blake Griffin',\n",
       " 'Blessing Okagbare',\n",
       " 'Blixa Bargeld',\n",
       " 'Blossom Chukwujekwu',\n",
       " 'Bo Xilai',\n",
       " 'Boaventura de Sousa Santos',\n",
       " 'Bob Arum',\n",
       " 'Bob Carr',\n",
       " 'Bob Garcia',\n",
       " 'Bob Weir',\n",
       " 'Bob Woodward',\n",
       " 'Bobby Deol',\n",
       " 'Bogdan Borusewicz',\n",
       " 'Bohuslav Svoboda',\n",
       " 'Bonnie Arnold',\n",
       " 'Bonnie Tyler',\n",
       " 'Bono',\n",
       " 'Boonsak Ponsana',\n",
       " 'Boots Riley',\n",
       " 'Borge Brende',\n",
       " 'Boris Cyrulnik',\n",
       " 'Boris Dittrich',\n",
       " 'Boris Grebenshchikov',\n",
       " 'Boris Tadic',\n",
       " 'Boris Yeltsin',\n",
       " 'Bothaina Kamel',\n",
       " 'Boualem Sansal',\n",
       " 'Brad Keselowski',\n",
       " 'Brandon Dubinsky',\n",
       " 'Brek Shea',\n",
       " 'Brenda Milner',\n",
       " 'Brendan Perry',\n",
       " 'Bret Baier',\n",
       " 'Brian Brett',\n",
       " 'Brigitte Gabriel',\n",
       " 'Brinda Karat',\n",
       " 'Brittany Bowe',\n",
       " 'Brittney Reese',\n",
       " 'Bronislaw Komorowski',\n",
       " 'Bruce Schneier',\n",
       " 'Bruce Springsteen',\n",
       " 'Bruce Sterling',\n",
       " 'Bruna Surfistinha',\n",
       " 'Bruno Ben Moubamba',\n",
       " 'Bruno Fuligni',\n",
       " 'Bruno Latour',\n",
       " 'Bruno Soares',\n",
       " 'Bryan Cranston',\n",
       " 'Buakaw Banchamek',\n",
       " 'Buckminster Fuller',\n",
       " 'Burcu Esmersoy',\n",
       " 'Bülent Ersoy',\n",
       " 'C. C. Catch',\n",
       " 'Caetano Veloso',\n",
       " 'Cai Yun',\n",
       " 'Caitlyn Jenner',\n",
       " 'Calvin Harris',\n",
       " 'Cam Newton',\n",
       " 'Cameron Diaz',\n",
       " 'Cameron McEvoy',\n",
       " 'Camila Vallejo',\n",
       " 'Camilla Läckberg',\n",
       " 'Camilla Toulmin',\n",
       " 'Candice Wiggins',\n",
       " 'Cariba Heine',\n",
       " 'Carl Bildt',\n",
       " 'Carl Hester',\n",
       " 'Carl Levin',\n",
       " 'Carl Sagan',\n",
       " 'Carla Ruocco',\n",
       " 'Carlinhos Brown',\n",
       " 'Carlo De Benedetti',\n",
       " 'Carlo Ginzburg',\n",
       " 'Carlo Ratti',\n",
       " 'Carlos Acosta',\n",
       " 'Carlos Bacca',\n",
       " 'Carlos Bianchi',\n",
       " 'Carlos Bruce',\n",
       " 'Carlos Ghosn',\n",
       " 'Carlos Jean',\n",
       " 'Carlos Martínez Gorriarán',\n",
       " 'Carlos Mejía Godoy',\n",
       " 'Carlos Menem',\n",
       " 'Carlos Mesa',\n",
       " 'Carlos Minc',\n",
       " 'Carlos Pacheco',\n",
       " 'Carlos Reichenbach',\n",
       " 'Carlos Slim',\n",
       " 'Carlos Sobera',\n",
       " 'Carlos Vives',\n",
       " 'Carlotta Ferlito',\n",
       " 'Carmen Aristegui',\n",
       " 'Carmen Carrera',\n",
       " 'Carmen Soo',\n",
       " 'Carol Castro',\n",
       " 'Carole Samaha',\n",
       " 'Carolina Herrera',\n",
       " 'Carolina Kluft',\n",
       " 'Caroline Kennedy',\n",
       " 'Caroline Lucas',\n",
       " 'Caroll Spinney',\n",
       " 'Carolyn Maloney',\n",
       " 'Carolyn Wonderland',\n",
       " 'Carrie Lam',\n",
       " 'Carter Ham',\n",
       " 'Cassandra Clare',\n",
       " 'Cate Blanchett',\n",
       " 'Catherine Day',\n",
       " 'Catherine Millet',\n",
       " 'Catherine Samba-Panza',\n",
       " 'Catherine Zeta-Jones',\n",
       " 'Cauã Reymond',\n",
       " 'Cecilia Cheung',\n",
       " 'Cecilia Morel',\n",
       " 'Celine Dion',\n",
       " 'Celso Amorim',\n",
       " 'Celso Zucatelli',\n",
       " 'Cem Ozdemir',\n",
       " 'Cenk Uygur',\n",
       " 'Cha Yu-ram',\n",
       " 'Chae Jung-an',\n",
       " 'Chai Ling',\n",
       " 'Chan Peng Soon',\n",
       " 'Chandan Sen',\n",
       " 'Chandana Sharma',\n",
       " 'Chang Kai-chen',\n",
       " 'Chantal Compaoré',\n",
       " 'Charles Dantzig',\n",
       " 'Charles Kaboré',\n",
       " 'Charles Kelley',\n",
       " 'Charles Mok',\n",
       " 'Charles Schumer',\n",
       " 'Charli XCX',\n",
       " 'Charlie Murphy',\n",
       " 'Charlie Winston',\n",
       " 'Charlize Theron',\n",
       " 'Charlton Heston',\n",
       " 'Charly Alberti',\n",
       " 'Charly García',\n",
       " 'Charlène Guignard',\n",
       " 'Charmy Kaur',\n",
       " 'Cheb Hasni',\n",
       " 'Cheikh Lô',\n",
       " 'Chen Deming',\n",
       " 'Chen Long',\n",
       " 'Cherie Blair',\n",
       " 'Chick Corea',\n",
       " 'Chico Buarque',\n",
       " 'Chico Mendes',\n",
       " 'Chika Ike',\n",
       " 'Chimamanda Ngozi Adichie',\n",
       " 'Ching Hai',\n",
       " 'Chitrangada Singh',\n",
       " 'Chloe Grace Moretz',\n",
       " 'Choi Eun-sook',\n",
       " 'Choi Min',\n",
       " 'Choi Soo-young',\n",
       " 'Chris Carter',\n",
       " 'Chris Flores',\n",
       " 'Chris Hedges',\n",
       " 'Chris Knierim',\n",
       " 'Chris Paul',\n",
       " 'Chris Rock',\n",
       " 'Chris Tucker',\n",
       " 'Christa McAuliffe',\n",
       " 'Christian Bautista',\n",
       " 'Christian Lindner',\n",
       " 'Christiana Figueres',\n",
       " 'Christina Aguilera',\n",
       " 'Christina Grimmie',\n",
       " 'Christine Legarde',\n",
       " 'Christine Loh',\n",
       " 'Christine Todd Whitman',\n",
       " 'Christophe André',\n",
       " 'Christopher Hitchens',\n",
       " 'Christopher Lee',\n",
       " 'Christopher Pissarides',\n",
       " 'Chrystia Freeland',\n",
       " 'Chuck Hagel',\n",
       " 'Chunky Pandey',\n",
       " 'Cindy Sheehan',\n",
       " 'Claire McCaskill',\n",
       " 'Claribel Alegría',\n",
       " 'Clarice Falcão',\n",
       " 'Claudia Cardinale',\n",
       " 'Claudia Ciesla',\n",
       " 'Claudia Leitte',\n",
       " 'Claudia Palacios',\n",
       " 'Claudia Piñeiro',\n",
       " 'Claudia Roden',\n",
       " 'Claudia Roth',\n",
       " 'Claudia Tagbo',\n",
       " 'Claudio Pizarro',\n",
       " 'Claudio Santamaria',\n",
       " 'Claus Kleber',\n",
       " 'Clay Aiken',\n",
       " 'Clive Hamilton',\n",
       " 'Clover Moore',\n",
       " 'Cláudia Vieira',\n",
       " 'Clémentine Autain',\n",
       " 'Colbie Caillat',\n",
       " 'Coleen Rowley',\n",
       " 'Colin Cassady',\n",
       " 'Colin Jackson',\n",
       " 'Colin Powell',\n",
       " 'Colleen Hanabusa',\n",
       " 'Colm Tóibín',\n",
       " \"Conan O'Brien\",\n",
       " 'Conchita Wurst',\n",
       " 'Condoleezza Rice',\n",
       " 'Connie Chung',\n",
       " 'Connie Hedegaard',\n",
       " 'Conor McGregor',\n",
       " 'Corazon Aquino',\n",
       " 'Corey Clark',\n",
       " 'Corina Chiriac',\n",
       " 'Corinne Lepage',\n",
       " 'Cornel West',\n",
       " 'Corrine Brown',\n",
       " 'Cory Booker',\n",
       " 'Coumba Gawlo',\n",
       " 'Courtney Love',\n",
       " 'Craig Emerson',\n",
       " 'Craig R. McKinley',\n",
       " 'Craig Thompson',\n",
       " 'Crin Antonescu',\n",
       " 'Cris Morena',\n",
       " 'Cristian Ionescu',\n",
       " 'Cristiana Frixione',\n",
       " 'Cristina Fernandez de Kirchner',\n",
       " 'Cristina Mel',\n",
       " 'Cristina Pedroche',\n",
       " 'Cristina Rivera Garza',\n",
       " 'Cristine Reyes',\n",
       " 'Cristobal Montoro',\n",
       " 'Cristóbal Cobo',\n",
       " 'Crystal Harris',\n",
       " 'Cui Jian',\n",
       " 'Cui Tiankai',\n",
       " 'Cynthia McKinney',\n",
       " 'Cynthia Viteri',\n",
       " 'Cyprien Katsaris',\n",
       " 'Cyril Hanouna',\n",
       " 'Cyrine Abdelnour',\n",
       " 'Céline Curiol',\n",
       " 'Cătălin Moroșanu',\n",
       " 'DJ Arafat',\n",
       " 'Daan Roosegaarde',\n",
       " 'Daddy Yankee',\n",
       " 'Dado Dolabella',\n",
       " 'Dafne Schippers',\n",
       " 'Daiane dos Santos',\n",
       " 'Daisy Shah',\n",
       " 'Dalai Lama',\n",
       " 'Dalila Nesci',\n",
       " 'Dalip Tahil',\n",
       " 'Dam Vinh Hung',\n",
       " 'Dan Ariely',\n",
       " 'Dan Balan',\n",
       " 'Dan Gillmor',\n",
       " 'Dan Haren',\n",
       " 'Dan Henderson',\n",
       " 'Dan Rather',\n",
       " 'Dan Shechtman',\n",
       " 'Dana Bash',\n",
       " 'Dana International',\n",
       " 'Dani Alves',\n",
       " 'Dani Calabresa',\n",
       " 'Daniel B. Shapiro',\n",
       " 'Daniel Bahr',\n",
       " 'Daniel Barenboim',\n",
       " 'Daniel Bilalian',\n",
       " 'Daniel Choquet',\n",
       " 'Daniel Day-Lewis',\n",
       " 'Daniel Dennett',\n",
       " 'Daniel Kablan Duncan',\n",
       " 'Daniel Kahneman',\n",
       " 'Daniel M. Tani',\n",
       " 'Daniel Ortega',\n",
       " 'Daniel Padilla',\n",
       " 'Daniel Peralta',\n",
       " 'Daniel R. Russel',\n",
       " 'Daniel Radcliffe',\n",
       " 'Daniel Scioli',\n",
       " 'Daniela Mercury',\n",
       " 'Daniele Suzuki',\n",
       " 'Danilo Turk',\n",
       " 'Danny Glover',\n",
       " 'Danny Welbeck',\n",
       " 'Dany Laferrière',\n",
       " 'Dara Rolins',\n",
       " 'Daria Kondakova',\n",
       " 'Daria Svatkovskaya',\n",
       " 'Darrell Issa',\n",
       " 'Darya Dadvar',\n",
       " 'Dava Newman',\n",
       " 'Dave Matthews',\n",
       " 'Dave Rubin',\n",
       " 'David Assouline',\n",
       " 'David Bollier',\n",
       " 'David Bowie',\n",
       " 'David Cameron',\n",
       " 'David Douillet',\n",
       " 'David Duchovny',\n",
       " 'David Eagleman',\n",
       " 'David Foenkinos',\n",
       " 'David G. Perkins',\n",
       " 'David Graeber',\n",
       " 'David Harvey',\n",
       " 'David Heyman',\n",
       " 'David Icke',\n",
       " 'David J',\n",
       " 'David Janssen',\n",
       " 'David Kobia',\n",
       " 'David Korten',\n",
       " 'David Lee',\n",
       " 'David Lidington',\n",
       " 'David M. Rodriguez',\n",
       " 'David Miliband',\n",
       " 'David Nabarro',\n",
       " 'David Oliver',\n",
       " 'David Oyedepo',\n",
       " 'David Pujadas',\n",
       " 'David Rawlings',\n",
       " 'David Rudisha',\n",
       " 'David Shing',\n",
       " 'David Suzuki',\n",
       " 'David Trueba',\n",
       " 'David Vitter',\n",
       " 'David Weinberger',\n",
       " 'David Willetts',\n",
       " 'Dawn Marie Psaltis',\n",
       " 'Dean Rusk',\n",
       " 'Deborah Secco',\n",
       " 'Deepa Mehta',\n",
       " 'Deepa Sannidhi',\n",
       " 'Deepak Chopra',\n",
       " 'Deepika Padukone',\n",
       " 'Deepti Naval',\n",
       " 'Deion Sanders',\n",
       " 'Delly Madrid',\n",
       " 'Demet Evgar',\n",
       " 'Demi Lovato',\n",
       " 'Deng Xiaoping',\n",
       " 'Denis Cheryshev',\n",
       " 'Denis Podalydès',\n",
       " 'Denise Fraga',\n",
       " 'Denise Ho',\n",
       " 'Dennis Miller',\n",
       " 'Dennis Prager',\n",
       " 'Derek Jeter',\n",
       " 'Derrick Ashong',\n",
       " 'Desi Bouterse',\n",
       " 'Desmond Trufant',\n",
       " 'Desmond Tutu',\n",
       " 'Desney Tan',\n",
       " 'Deva Premal',\n",
       " 'Devendra Fadnavis',\n",
       " 'Diahann Carroll',\n",
       " 'Dian Sastrowardoyo',\n",
       " 'Diana Hayden',\n",
       " 'Diana Ross',\n",
       " 'Dianne Reeves',\n",
       " 'Dick Cheney',\n",
       " 'Didier Daeninckx',\n",
       " 'Didier Van Cauwelaert',\n",
       " 'Diego Rosa',\n",
       " 'Dieter F. Uchtdorf',\n",
       " 'Dilana',\n",
       " 'Dilip Joshi',\n",
       " 'Diljit Dosanjh',\n",
       " 'Dilma Rousseff',\n",
       " 'Dima Bilan',\n",
       " 'Dimitri Payet',\n",
       " 'Dimitris Avramopoulos',\n",
       " 'Dina Titus',\n",
       " 'Dinesh Lal Yadav',\n",
       " 'Ding Ning',\n",
       " 'Diogo Nogueira',\n",
       " 'Dipesh Chakrabarty',\n",
       " 'Dipuo Peters',\n",
       " 'Dirk Müller',\n",
       " 'Dita Von Teese',\n",
       " 'Divyanka Tripathi',\n",
       " 'Djemila Benhabib',\n",
       " 'Djo Tunda Wa Munga',\n",
       " 'Dmitry Medvedev',\n",
       " 'Dolly Bindra',\n",
       " 'Dolly Parton',\n",
       " 'Dolores de Cospedal',\n",
       " 'Dominic Dale',\n",
       " 'Dominic Oduro',\n",
       " 'Dominic Solanke',\n",
       " 'Dominika Cibulková',\n",
       " 'Dominique Fernandez',\n",
       " 'Dominique Hourani',\n",
       " 'Dominique Manotti',\n",
       " 'Dominique Schnapper',\n",
       " 'Dominique Strauss-Kahn',\n",
       " 'Don Bachardy',\n",
       " 'Don Larsen',\n",
       " 'Don Omar',\n",
       " 'Don Tapscott',\n",
       " 'Donald Kaberuka',\n",
       " 'Donald Knuth',\n",
       " 'Donald Rumsfeld',\n",
       " 'Donald Trump',\n",
       " 'Donald Tsang',\n",
       " 'Donald Tusk',\n",
       " 'Donna Edwards',\n",
       " 'Donna Summer',\n",
       " 'Dora María Téllez',\n",
       " 'Doreen Baingana',\n",
       " 'Doreen Lorenzo',\n",
       " 'Doris Kearns Goodwin',\n",
       " 'Dorothy Metcalf-Lindenburger',\n",
       " 'Dr. Alban',\n",
       " 'Dragan Bender',\n",
       " 'Drashti Dhami',\n",
       " 'Draymond Green',\n",
       " 'Dude Harlino',\n",
       " 'Dulce María',\n",
       " 'Dustin Moskovitz',\n",
       " 'Eamon Gilmore',\n",
       " 'Earl Lloyd',\n",
       " 'Eben Upton',\n",
       " 'Ebo Taylor',\n",
       " 'Ebrahim Hatamikia',\n",
       " 'Ed Sheeran',\n",
       " 'Edgar Morin',\n",
       " 'Edie Sedgwick',\n",
       " 'Edita Gruberová',\n",
       " 'Edmund Stoiber',\n",
       " 'Edmundo Jarquín',\n",
       " 'Edu Guedes',\n",
       " 'Eduard Limonov',\n",
       " 'Eduardo Campos',\n",
       " 'Eduardo Costa',\n",
       " 'Eduardo Cunha',\n",
       " 'Eduardo Galeano',\n",
       " 'Eduardo Maruri',\n",
       " 'Eduardo Paes',\n",
       " 'Edvard Moser',\n",
       " 'Edward Boyden',\n",
       " 'Edward James Olmos',\n",
       " 'Edward Snowden',\n",
       " 'Edwy Plenel',\n",
       " 'Eesha Koppikhar',\n",
       " 'Eijaz Khan',\n",
       " 'Eileen Collins',\n",
       " 'Eka Tkeshelashvili',\n",
       " 'Eka Zguladze',\n",
       " 'Elazar Shach',\n",
       " 'Elba Ramalho',\n",
       " 'Eleanor Holmes Norton',\n",
       " 'Elen Levon',\n",
       " 'Eleonora Menicucci',\n",
       " 'Eli Pariser',\n",
       " 'Eliana',\n",
       " 'Eliana Calmon',\n",
       " 'Elias Zerhouni',\n",
       " 'Elie Wiesel',\n",
       " 'Elijah Wood',\n",
       " 'Elio Di Rupo',\n",
       " 'Elizabeth May',\n",
       " 'Elizabeth Warren',\n",
       " 'Ella Chen',\n",
       " 'Ella Eyre',\n",
       " 'Ellen DeGeneres',\n",
       " 'Ellen Johnson Sirleaf',\n",
       " 'Ellen Langer',\n",
       " 'Ellen Meiksins Wood',\n",
       " 'Ellen Oléria',\n",
       " 'Ellen S. Baker',\n",
       " 'Elli Avram',\n",
       " 'Ellie Goulding',\n",
       " 'Elton John',\n",
       " 'Elza Soares',\n",
       " 'Emanuela',\n",
       " 'Emel Mathlouthi',\n",
       " 'Emerson Sheik',\n",
       " 'Emha Ainun Nadjib',\n",
       " 'Emiliano Insúa',\n",
       " 'Emilio Estevez',\n",
       " 'Emily Haines',\n",
       " 'Emily Lau',\n",
       " 'Emma Bonino',\n",
       " 'Emma Marrone',\n",
       " 'Emma Watson',\n",
       " ...]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "id_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "save_path = \"/raid/workspace/jbpark/IJB-C_Asian/Quant/\"\n",
    "np.savetxt(save_path+'quant_id_list.txt', id_list, fmt='%s', delimiter=',')\n",
    "np.savetxt(save_path+'quant_centroid_list.csv', centroid_list, fmt='%f', delimiter=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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