Scoring.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QYOlvQ1nQL7c"
   },
   "source": [
    "## Evaluating models in terms of face generation quality\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "zHkHsdtnry57",
    "outputId": "1385a682-4fa8-4d5c-cfd1-27dc12cd7e67"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tue Sep 27 23:41:08 2022       \n",
      "+-----------------------------------------------------------------------------+\n",
      "| NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |\n",
      "|-------------------------------+----------------------+----------------------+\n",
      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
      "|                               |                      |               MIG M. |\n",
      "|===============================+======================+======================|\n",
      "|   0  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |\n",
      "| N/A   46C    P8    10W /  70W |      0MiB / 15109MiB |      0%      Default |\n",
      "|                               |                      |                  N/A |\n",
      "+-------------------------------+----------------------+----------------------+\n",
      "                                                                               \n",
      "+-----------------------------------------------------------------------------+\n",
      "| Processes:                                                                  |\n",
      "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
      "|        ID   ID                                                   Usage      |\n",
      "|=============================================================================|\n",
      "|  No running processes found                                                 |\n",
      "+-----------------------------------------------------------------------------+\n"
     ]
    }
   ],
   "source": [
    "!nvidia-smi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "paJt_cx5QgVz"
   },
   "source": [
    "Next, you should install `diffusers==0.2.4` as well `scipy`, `ftfy` and `transformers`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HZo9LySZA8Gw"
   },
   "source": [
    "## Mount drive and get some data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "imbBE5Cv5E5J",
    "outputId": "c43d9a8d-c73b-47bb-c92f-d029c462250d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-K0BqzRgtYBV",
    "outputId": "cea77438-9b87-44e6-b05e-f3496328069d"
   },
   "outputs": [],
   "source": [
    "# !unzip /content/drive/MyDrive/FineGrainedEval/Data.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# coco images\n",
    "# !wget http://images.cocodataset.org/zips/train2017.zip\n",
    "# !unzip train2017.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Jz5c7ZrcIqXc",
    "outputId": "f0744220-3947-46bd-ceb3-b7c39a9bb599"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
      "Collecting pytorch-fid\n",
      "  Downloading pytorch-fid-0.2.1.tar.gz (14 kB)\n",
      "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from pytorch-fid) (1.21.6)\n",
      "Requirement already satisfied: pillow in /usr/local/lib/python3.7/dist-packages (from pytorch-fid) (7.1.2)\n",
      "Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from pytorch-fid) (1.7.3)\n",
      "Requirement already satisfied: torch>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from pytorch-fid) (1.12.1+cu113)\n",
      "Requirement already satisfied: torchvision>=0.2.2 in /usr/local/lib/python3.7/dist-packages (from pytorch-fid) (0.13.1+cu113)\n",
      "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch>=1.0.1->pytorch-fid) (4.1.1)\n",
      "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from torchvision>=0.2.2->pytorch-fid) (2.23.0)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision>=0.2.2->pytorch-fid) (2.10)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision>=0.2.2->pytorch-fid) (1.24.3)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision>=0.2.2->pytorch-fid) (3.0.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision>=0.2.2->pytorch-fid) (2022.6.15)\n",
      "Building wheels for collected packages: pytorch-fid\n",
      "  Building wheel for pytorch-fid (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for pytorch-fid: filename=pytorch_fid-0.2.1-py3-none-any.whl size=14835 sha256=830d2a3a5b0092c121fb7ce21e54a2f71ea76b34badc18d226691c34307fd97f\n",
      "  Stored in directory: /root/.cache/pip/wheels/24/ac/03/c5634775c8a64f702343ef5923278f8d3bb8c651debc4a6890\n",
      "Successfully built pytorch-fid\n",
      "Installing collected packages: pytorch-fid\n",
      "Successfully installed pytorch-fid-0.2.1\n"
     ]
    }
   ],
   "source": [
    "!pip install pytorch-fid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "AwCyyjOYxc6I",
    "outputId": "cb63c150-b4c7-4f4f-b0e4-f98934af63a9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import cv2\n",
    "import numpy as np\n",
    "import shutil\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Please download the data and place them appropriately according to what the following code needs!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "VFrmM3ULeu2u"
   },
   "source": [
    "## Real"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "6xxJtwjqew0Z",
    "outputId": "36410712-4220-450d-bc30-d3c80e58ded3"
   },
   "outputs": [],
   "source": [
    "num_imgs = 5000\n",
    "for k in range(10):\n",
    "\n",
    "  # split real faces into two folders \n",
    "  files = os.listdir('/content/real_faces/')\n",
    "  np.random.shuffle(files)\n",
    "\n",
    "  if os.path.exists('/content/faces1'):\n",
    "    shutil.rmtree('/content/faces1')  \n",
    "  os.mkdir('/content/faces1')    \n",
    "\n",
    "\n",
    "  if os.path.exists('/content/faces2'):\n",
    "    shutil.rmtree('/content/faces2')  \n",
    "  os.mkdir('/content/faces2')    \n",
    "\n",
    "\n",
    "  for i, f in enumerate(files[:10000]):\n",
    "    if i%2:\n",
    "      shutil.copy(f'/content/real_faces/{f}',f'/content/faces1/{f}')\n",
    "    else:\n",
    "      shutil.copy(f'/content/real_faces/{f}',f'/content/faces2/{f}')    \n",
    "\n",
    "\n",
    "  !python -m pytorch_fid /content/faces1/ /content/faces2/ --device cuda:0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2eWW72rvevtV"
   },
   "source": [
    "### Stable Diffusion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 294
    },
    "id": "n2NypDqToEqi",
    "outputId": "267ca54e-b42c-431b-e5ee-a1d5b8fd2c55"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import cv2\n",
    "import numpy as np\n",
    "import shutil\n",
    "\n",
    "paths = {'real': ('/content/real_faces/', '/content/drive/MyDrive/FineGrainedEval/tmp_real/'), \n",
    "         'generated': ('/content/generated_data/faces_generated/', '/content/drive/MyDrive/FineGrainedEval/tmp_generated/')}\n",
    "\n",
    "# res = {}\n",
    "num_imgs = 5000\n",
    "for k in range(10):\n",
    "  print(k)\n",
    "  for f in ['real', 'generated']: #range(2):\n",
    "    img_path, save_path = paths[f]\n",
    "    files = os.listdir(img_path)\n",
    "\n",
    "    np.random.shuffle(files)\n",
    "\n",
    "    if os.path.exists(save_path):\n",
    "      shutil.rmtree(save_path)    \n",
    "    os.mkdir(save_path)\n",
    "\n",
    "    print(save_path)\n",
    "\n",
    "    count = 0\n",
    "    while count < num_imgs:    \n",
    "      for f_name in files:\n",
    "        image = cv2.imread(os.path.join(img_path,f_name))\n",
    "        cv2.imwrite(os.path.join(save_path, f_name), image)\n",
    "\n",
    "        count += 1\n",
    "        if count >= num_imgs: break          \n",
    "\n",
    "  !python -m pytorch_fid /content/drive/MyDrive/FineGrainedEval/tmp_real/ /content/drive/MyDrive/FineGrainedEval/tmp_generated/ --device cuda:0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hc5bODNnfLEL"
   },
   "source": [
    "### Midjourney"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "37r0d8mTfbO8",
    "outputId": "c4619f0d-a193-41a4-dfc5-fd7cb1efc158"
   },
   "outputs": [],
   "source": [
    "# !unzip /content/drive/MyDrive/FineGrainedEval/faces_generated_midjourney.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "CC6KHJ5bfMjr",
    "outputId": "11217c54-4f3c-41a8-8ed2-ce0d2c3512d5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:22<00:00,  4.45it/s]\n",
      "100% 100/100 [00:20<00:00,  4.77it/s]\n",
      "FID:  81.68483611033625\n",
      "1\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:22<00:00,  4.44it/s]\n",
      "100% 100/100 [00:21<00:00,  4.64it/s]\n",
      "FID:  80.90567076642816\n",
      "2\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:21<00:00,  4.58it/s]\n",
      "100% 100/100 [00:21<00:00,  4.63it/s]\n",
      "FID:  80.55556410128179\n",
      "3\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:22<00:00,  4.39it/s]\n",
      "100% 100/100 [00:22<00:00,  4.53it/s]\n",
      "FID:  82.37288056194001\n",
      "4\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:22<00:00,  4.37it/s]\n",
      "100% 100/100 [00:21<00:00,  4.60it/s]\n",
      "FID:  80.22006555510708\n",
      "5\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:23<00:00,  4.33it/s]\n",
      "100% 100/100 [00:21<00:00,  4.55it/s]\n",
      "FID:  80.7747746639192\n",
      "6\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 82/82 [00:19<00:00,  4.23it/s]\n",
      "100% 100/100 [00:21<00:00,  4.57it/s]\n",
      "FID:  80.88997205415069\n",
      "7\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:22<00:00,  4.44it/s]\n",
      "100% 100/100 [00:21<00:00,  4.56it/s]\n",
      "FID:  82.09307748208337\n",
      "8\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 38/38 [00:09<00:00,  3.80it/s]\n",
      "100% 100/100 [00:21<00:00,  4.56it/s]\n",
      "FID:  84.83828704442016\n",
      "9\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 37/37 [00:09<00:00,  3.71it/s]\n",
      "100% 100/100 [00:20<00:00,  5.00it/s]\n",
      "FID:  85.69528451860447\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import cv2\n",
    "import numpy as np\n",
    "import shutil\n",
    "\n",
    "paths = {'real': ('/content/real_faces/', '/content/drive/MyDrive/FineGrainedEval/tmp_real/'), \n",
    "         'generated': ('/content/faces_generated_midjourney/', '/content/drive/MyDrive/FineGrainedEval/tmp_generated/')}\n",
    "\n",
    "# res = {}\n",
    "num_imgs = 5000\n",
    "for k in range(10):\n",
    "  print(k)\n",
    "  for f in ['real', 'generated']: #range(2):\n",
    "    img_path, save_path = paths[f]\n",
    "    files = os.listdir(img_path)\n",
    "\n",
    "    np.random.shuffle(files)\n",
    "\n",
    "    if os.path.exists(save_path):\n",
    "      shutil.rmtree(save_path)    \n",
    "    os.mkdir(save_path)\n",
    "\n",
    "    print(save_path)\n",
    "\n",
    "    try:\n",
    "      count = 0\n",
    "      while count < num_imgs:    \n",
    "        for f_name in files:\n",
    "          image = cv2.imread(os.path.join(img_path,f_name))\n",
    "          cv2.imwrite(os.path.join(save_path, f_name), image)\n",
    "\n",
    "          count += 1\n",
    "          if count >= num_imgs: break          \n",
    "    except:\n",
    "      pass\n",
    "  !python -m pytorch_fid /content/drive/MyDrive/FineGrainedEval/tmp_real/ /content/drive/MyDrive/FineGrainedEval/tmp_generated/ --device cuda:0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "mj3pNY9KfM3e",
    "outputId": "fc6007da-8faa-4e71-d027-1c2bf14ccd39"
   },
   "outputs": [],
   "source": [
    "# !unzip /content/drive/MyDrive/FineGrainedEval/images_generated_midjourney.zip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RNcqcm6ZVJ0f"
   },
   "source": [
    "## DALLE 2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "xdNtqMrAVLFz",
    "outputId": "e95ae79e-4871-4725-b5f2-9cd93c81c1fa"
   },
   "outputs": [],
   "source": [
    "# !unzip /content/drive/MyDrive/FineGrainedEval/Dalle.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "lM9hzPoqvAEM",
    "outputId": "9396129b-ec7d-4bfa-b8e6-73dc038b4ca6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "Downloading: \"https://github.com/mseitzer/pytorch-fid/releases/download/fid_weights/pt_inception-2015-12-05-6726825d.pth\" to /root/.cache/torch/hub/checkpoints/pt_inception-2015-12-05-6726825d.pth\n",
      "100% 91.2M/91.2M [00:09<00:00, 9.95MB/s]\n",
      "100% 100/100 [00:27<00:00,  3.63it/s]\n",
      "100% 14/14 [00:03<00:00,  4.43it/s]\n",
      "FID:  65.20935696740992\n",
      "1\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:23<00:00,  4.23it/s]\n",
      "100% 14/14 [00:02<00:00,  4.77it/s]\n",
      "FID:  64.00464661335286\n",
      "2\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:22<00:00,  4.35it/s]\n",
      "100% 14/14 [00:03<00:00,  4.27it/s]\n",
      "FID:  63.71856428896348\n",
      "3\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:23<00:00,  4.27it/s]\n",
      "100% 14/14 [00:02<00:00,  4.73it/s]\n",
      "FID:  65.1283425650829\n",
      "4\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:23<00:00,  4.25it/s]\n",
      "100% 14/14 [00:03<00:00,  4.37it/s]\n",
      "FID:  64.19700403446163\n",
      "5\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:23<00:00,  4.18it/s]\n",
      "100% 14/14 [00:03<00:00,  4.62it/s]\n",
      "FID:  65.3415445955498\n",
      "6\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:25<00:00,  3.87it/s]\n",
      "100% 14/14 [00:03<00:00,  4.36it/s]\n",
      "FID:  64.08668427379905\n",
      "7\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:24<00:00,  4.11it/s]\n",
      "100% 14/14 [00:03<00:00,  4.63it/s]\n",
      "FID:  64.53638057270362\n",
      "8\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:24<00:00,  4.16it/s]\n",
      "100% 14/14 [00:03<00:00,  4.21it/s]\n",
      "FID:  64.95540629905557\n",
      "9\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_real/\n",
      "/content/drive/MyDrive/FineGrainedEval/tmp_generated/\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n",
      "  f\"The parameter '{pretrained_param}' is deprecated since 0.13 and will be removed in 0.15, \"\n",
      "/usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.\n",
      "  warnings.warn(msg)\n",
      "100% 100/100 [00:23<00:00,  4.17it/s]\n",
      "100% 14/14 [00:03<00:00,  4.58it/s]\n",
      "FID:  65.49645092172301\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import cv2\n",
    "import numpy as np\n",
    "import shutil\n",
    "\n",
    "paths = {'real': ('/content/real_faces/', '/content/drive/MyDrive/FineGrainedEval/tmp_real/'), \n",
    "         'generated': ('/content/Dalle/DALLEFaces/', '/content/drive/MyDrive/FineGrainedEval/tmp_generated/')}\n",
    "\n",
    "num_imgs = 5000\n",
    "for k in range(10):\n",
    "  print(k)\n",
    "  for f in ['real', 'generated']: #range(2):\n",
    "    img_path, save_path = paths[f]\n",
    "    files = os.listdir(img_path)\n",
    "\n",
    "    np.random.shuffle(files)\n",
    "\n",
    "    if os.path.exists(save_path):\n",
    "      shutil.rmtree(save_path)    \n",
    "    os.mkdir(save_path)\n",
    "\n",
    "    print(save_path)\n",
    "\n",
    "    count = 0\n",
    "    while count < num_imgs:    \n",
    "      for f_name in files:\n",
    "        if f_name.startswith('.'): continue\n",
    "        image = cv2.imread(os.path.join(img_path,f_name))\n",
    "        cv2.imwrite(os.path.join(save_path, f_name), image)\n",
    "\n",
    "        count += 1\n",
    "        if count >= num_imgs: break          \n",
    "\n",
    "  !python -m pytorch_fid /content/drive/MyDrive/FineGrainedEval/tmp_real/ /content/drive/MyDrive/FineGrainedEval/tmp_generated/ --device cuda:0"
   ]
  }
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