train_Human_Parsing_on_Binary_Images.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "teJZwi0L7DCV",
        "outputId": "b99bb838-377b-4c00-8971-fa9bbd1820e2"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "lBmnznzk9pga"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import pickle\n",
        "import os, sys\n",
        "import PIL\n",
        "from PIL import Image\n",
        "import numpy as np\n",
        "from PIL import Image as im\n",
        "import gdown"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install wandb"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pXyL80EqSVdw",
        "outputId": "4b06741d-128f-4106-e84c-fefaa675a966"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting wandb\n",
            "  Downloading wandb-0.12.11-py2.py3-none-any.whl (1.7 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.7 MB 5.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: Click!=8.0.0,>=7.0 in /usr/local/lib/python3.7/dist-packages (from wandb) (7.1.2)\n",
            "Requirement already satisfied: PyYAML in /usr/local/lib/python3.7/dist-packages (from wandb) (3.13)\n",
            "Requirement already satisfied: python-dateutil>=2.6.1 in /usr/local/lib/python3.7/dist-packages (from wandb) (2.8.2)\n",
            "Collecting setproctitle\n",
            "  Downloading setproctitle-1.2.2-cp37-cp37m-manylinux1_x86_64.whl (36 kB)\n",
            "Collecting docker-pycreds>=0.4.0\n",
            "  Downloading docker_pycreds-0.4.0-py2.py3-none-any.whl (9.0 kB)\n",
            "Requirement already satisfied: requests<3,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from wandb) (2.23.0)\n",
            "Collecting GitPython>=1.0.0\n",
            "  Downloading GitPython-3.1.27-py3-none-any.whl (181 kB)\n",
            "\u001b[K     |████████████████████████████████| 181 kB 43.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: protobuf>=3.12.0 in /usr/local/lib/python3.7/dist-packages (from wandb) (3.17.3)\n",
            "Collecting pathtools\n",
            "  Downloading pathtools-0.1.2.tar.gz (11 kB)\n",
            "Requirement already satisfied: promise<3,>=2.0 in /usr/local/lib/python3.7/dist-packages (from wandb) (2.3)\n",
            "Requirement already satisfied: six>=1.13.0 in /usr/local/lib/python3.7/dist-packages (from wandb) (1.15.0)\n",
            "Collecting sentry-sdk>=1.0.0\n",
            "  Downloading sentry_sdk-1.5.7-py2.py3-none-any.whl (144 kB)\n",
            "\u001b[K     |████████████████████████████████| 144 kB 42.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: psutil>=5.0.0 in /usr/local/lib/python3.7/dist-packages (from wandb) (5.4.8)\n",
            "Collecting yaspin>=1.0.0\n",
            "  Downloading yaspin-2.1.0-py3-none-any.whl (18 kB)\n",
            "Collecting shortuuid>=0.5.0\n",
            "  Downloading shortuuid-1.0.8-py3-none-any.whl (9.5 kB)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.7/dist-packages (from GitPython>=1.0.0->wandb) (3.10.0.2)\n",
            "Collecting gitdb<5,>=4.0.1\n",
            "  Downloading gitdb-4.0.9-py3-none-any.whl (63 kB)\n",
            "\u001b[K     |████████████████████████████████| 63 kB 1.6 MB/s \n",
            "\u001b[?25hCollecting smmap<6,>=3.0.1\n",
            "  Downloading smmap-5.0.0-py3-none-any.whl (24 kB)\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<3,>=2.0.0->wandb) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.0.0->wandb) (2021.10.8)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.0.0->wandb) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.0.0->wandb) (3.0.4)\n",
            "Requirement already satisfied: termcolor<2.0.0,>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from yaspin>=1.0.0->wandb) (1.1.0)\n",
            "Building wheels for collected packages: pathtools\n",
            "  Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8806 sha256=fa27ee5eaa964a01ce66e37f3e5417a8b975530d34c03776402d94aec0e97aa1\n",
            "  Stored in directory: /root/.cache/pip/wheels/3e/31/09/fa59cef12cdcfecc627b3d24273699f390e71828921b2cbba2\n",
            "Successfully built pathtools\n",
            "Installing collected packages: smmap, gitdb, yaspin, shortuuid, setproctitle, sentry-sdk, pathtools, GitPython, docker-pycreds, wandb\n",
            "Successfully installed GitPython-3.1.27 docker-pycreds-0.4.0 gitdb-4.0.9 pathtools-0.1.2 sentry-sdk-1.5.7 setproctitle-1.2.2 shortuuid-1.0.8 smmap-5.0.0 wandb-0.12.11 yaspin-2.1.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5UtMmlVU9vtl",
        "outputId": "b189ce02-084b-44ea-bad3-068796445d6d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'bodies-at-rest'...\n",
            "remote: Enumerating objects: 1183, done.\u001b[K\n",
            "remote: Counting objects: 100% (217/217), done.\u001b[K\n",
            "remote: Compressing objects: 100% (171/171), done.\u001b[K\n",
            "remote: Total 1183 (delta 142), reused 95 (delta 46), pack-reused 966\u001b[K\n",
            "Receiving objects: 100% (1183/1183), 7.40 MiB | 7.63 MiB/s, done.\n",
            "Resolving deltas: 100% (779/779), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/Healthcare-Robotics/bodies-at-rest.git"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dYe4EhcW9v4j"
      },
      "outputs": [],
      "source": [
        "!/content/bodies-at-rest/PressurePose/download_real.sh"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jrkraDfP-RZz",
        "outputId": "cbbd0434-3df9-411d-d34c-30d4825d9551"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/data_BR/real/S103\n"
          ]
        }
      ],
      "source": [
        "%cd /data_BR/real/S103"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7n95rtX5Zqkj"
      },
      "outputs": [],
      "source": [
        "def load_pickle(pickle_file):\n",
        "    try:\n",
        "        with open(pickle_file, 'rb') as f:\n",
        "            pickle_data = pickle.load(f)\n",
        "    except UnicodeDecodeError as e:\n",
        "        with open(pickle_file, 'rb') as f:\n",
        "            pickle_data = pickle.load(f, encoding='latin1')\n",
        "    except Exception as e:\n",
        "        print('Unable to load data ', pickle_file, ':', e)\n",
        "        raise\n",
        "    return pickle_data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mu1he9g1Wu3p",
        "outputId": "87f7e333-a00c-441a-9589-9a82ca916e10"
      },
      "outputs": [
        {
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              "          [192, 187, 192],\n",
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              "          ...,\n",
              "          [195, 191, 195],\n",
              "          [196, 192, 196],\n",
              "          [197, 194, 197]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 83, 102, 102],\n",
              "          [ 85, 105, 104],\n",
              "          [ 83, 103, 102],\n",
              "          ...,\n",
              "          [ 36,  59,  52],\n",
              "          [ 31,  53,  47],\n",
              "          [ 27,  48,  42]],\n",
              "  \n",
              "         [[ 87, 107, 107],\n",
              "          [ 89, 110, 108],\n",
              "          [ 87, 107, 105],\n",
              "          ...,\n",
              "          [ 59,  80,  72],\n",
              "          [ 59,  80,  72],\n",
              "          [ 61,  80,  73]],\n",
              "  \n",
              "         [[ 82, 102, 102],\n",
              "          [ 82, 103, 102],\n",
              "          [ 82, 102, 101],\n",
              "          ...,\n",
              "          [114, 126, 119],\n",
              "          [114, 126, 119],\n",
              "          [115, 127, 118]]], dtype=uint8), array([[[194, 190, 195],\n",
              "          [195, 191, 196],\n",
              "          [194, 190, 196],\n",
              "          ...,\n",
              "          [202, 197, 199],\n",
              "          [201, 197, 199],\n",
              "          [201, 197, 199]],\n",
              "  \n",
              "         [[193, 191, 195],\n",
              "          [194, 190, 195],\n",
              "          [193, 189, 195],\n",
              "          ...,\n",
              "          [200, 197, 199],\n",
              "          [201, 198, 200],\n",
              "          [201, 198, 200]],\n",
              "  \n",
              "         [[192, 191, 195],\n",
              "          [192, 190, 195],\n",
              "          [193, 190, 195],\n",
              "          ...,\n",
              "          [200, 197, 199],\n",
              "          [200, 197, 199],\n",
              "          [200, 197, 199]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 95, 111, 110],\n",
              "          [ 93, 110, 108],\n",
              "          [ 92, 108, 106],\n",
              "          ...,\n",
              "          [ 37,  57,  52],\n",
              "          [ 31,  51,  45],\n",
              "          [ 29,  49,  44]],\n",
              "  \n",
              "         [[ 93, 109, 108],\n",
              "          [ 93, 108, 107],\n",
              "          [ 93, 107, 106],\n",
              "          ...,\n",
              "          [ 65,  86,  79],\n",
              "          [ 64,  84,  78],\n",
              "          [ 66,  87,  80]],\n",
              "  \n",
              "         [[ 90, 105, 103],\n",
              "          [ 91, 104, 103],\n",
              "          [ 91, 104, 104],\n",
              "          ...,\n",
              "          [114, 132, 123],\n",
              "          [116, 131, 123],\n",
              "          [119, 132, 125]]], dtype=uint8), array([[[193, 188, 195],\n",
              "          [193, 188, 195],\n",
              "          [192, 188, 194],\n",
              "          ...,\n",
              "          [198, 193, 195],\n",
              "          [199, 193, 195],\n",
              "          [200, 194, 196]],\n",
              "  \n",
              "         [[194, 188, 194],\n",
              "          [193, 187, 194],\n",
              "          [191, 187, 193],\n",
              "          ...,\n",
              "          [198, 194, 196],\n",
              "          [199, 194, 196],\n",
              "          [200, 194, 196]],\n",
              "  \n",
              "         [[193, 187, 193],\n",
              "          [194, 187, 193],\n",
              "          [192, 186, 193],\n",
              "          ...,\n",
              "          [197, 193, 195],\n",
              "          [198, 193, 195],\n",
              "          [199, 194, 196]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 84, 107, 105],\n",
              "          [ 85, 109, 107],\n",
              "          [ 83, 108, 106],\n",
              "          ...,\n",
              "          [ 37,  58,  52],\n",
              "          [ 39,  60,  52],\n",
              "          [ 40,  60,  51]],\n",
              "  \n",
              "         [[ 85, 108, 106],\n",
              "          [ 86, 109, 108],\n",
              "          [ 84, 108, 107],\n",
              "          ...,\n",
              "          [ 72,  92,  84],\n",
              "          [ 74,  94,  85],\n",
              "          [ 79,  98,  88]],\n",
              "  \n",
              "         [[ 83, 104, 102],\n",
              "          [ 82, 104, 103],\n",
              "          [ 81, 103, 102],\n",
              "          ...,\n",
              "          [116, 133, 125],\n",
              "          [116, 132, 124],\n",
              "          [116, 132, 122]]], dtype=uint8), array([[[194, 188, 195],\n",
              "          [194, 188, 194],\n",
              "          [193, 189, 194],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [198, 195, 197],\n",
              "          [197, 194, 196]],\n",
              "  \n",
              "         [[193, 188, 194],\n",
              "          [194, 189, 194],\n",
              "          [193, 189, 194],\n",
              "          ...,\n",
              "          [199, 195, 197],\n",
              "          [198, 195, 197],\n",
              "          [198, 194, 196]],\n",
              "  \n",
              "         [[192, 188, 194],\n",
              "          [193, 189, 194],\n",
              "          [193, 189, 194],\n",
              "          ...,\n",
              "          [199, 194, 196],\n",
              "          [199, 194, 196],\n",
              "          [198, 195, 197]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 84, 102, 102],\n",
              "          [ 86, 104, 104],\n",
              "          [ 85, 104, 103],\n",
              "          ...,\n",
              "          [ 37,  56,  52],\n",
              "          [ 34,  54,  49],\n",
              "          [ 32,  51,  45]],\n",
              "  \n",
              "         [[ 89, 107, 108],\n",
              "          [ 91, 110, 110],\n",
              "          [ 90, 109, 108],\n",
              "          ...,\n",
              "          [ 61,  78,  73],\n",
              "          [ 61,  79,  74],\n",
              "          [ 66,  82,  76]],\n",
              "  \n",
              "         [[ 85, 104, 105],\n",
              "          [ 87, 106, 106],\n",
              "          [ 87, 106, 105],\n",
              "          ...,\n",
              "          [112, 124, 119],\n",
              "          [113, 125, 120],\n",
              "          [118, 127, 121]]], dtype=uint8), array([[[195, 189, 194],\n",
              "          [194, 188, 193],\n",
              "          [193, 187, 192],\n",
              "          ...,\n",
              "          [197, 194, 196],\n",
              "          [197, 194, 196],\n",
              "          [196, 193, 195]],\n",
              "  \n",
              "         [[194, 189, 194],\n",
              "          [194, 188, 193],\n",
              "          [193, 187, 192],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [197, 194, 196],\n",
              "          [197, 194, 196]],\n",
              "  \n",
              "         [[193, 188, 193],\n",
              "          [194, 188, 193],\n",
              "          [193, 187, 192],\n",
              "          ...,\n",
              "          [197, 194, 196],\n",
              "          [196, 193, 195],\n",
              "          [197, 194, 196]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 87, 102, 103],\n",
              "          [ 89, 104, 105],\n",
              "          [ 87, 103, 105],\n",
              "          ...,\n",
              "          [ 41,  57,  52],\n",
              "          [ 38,  55,  50],\n",
              "          [ 35,  52,  47]],\n",
              "  \n",
              "         [[ 90, 106, 107],\n",
              "          [ 91, 107, 109],\n",
              "          [ 89, 106, 108],\n",
              "          ...,\n",
              "          [ 68,  83,  77],\n",
              "          [ 70,  84,  77],\n",
              "          [ 72,  87,  80]],\n",
              "  \n",
              "         [[ 84, 101, 101],\n",
              "          [ 84, 101, 102],\n",
              "          [ 85, 102, 104],\n",
              "          ...,\n",
              "          [116, 127, 121],\n",
              "          [119, 127, 122],\n",
              "          [120, 129, 123]]], dtype=uint8), array([[[194, 190, 195],\n",
              "          [194, 190, 196],\n",
              "          [194, 190, 195],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [200, 197, 199],\n",
              "          [200, 197, 199]],\n",
              "  \n",
              "         [[194, 190, 196],\n",
              "          [195, 191, 196],\n",
              "          [194, 190, 195],\n",
              "          ...,\n",
              "          [200, 196, 198],\n",
              "          [200, 197, 199],\n",
              "          [201, 198, 200]],\n",
              "  \n",
              "         [[194, 190, 196],\n",
              "          [194, 190, 196],\n",
              "          [194, 190, 196],\n",
              "          ...,\n",
              "          [201, 196, 199],\n",
              "          [201, 197, 200],\n",
              "          [200, 197, 199]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 88, 108, 108],\n",
              "          [ 91, 110, 110],\n",
              "          [ 92, 109, 109],\n",
              "          ...,\n",
              "          [ 41,  62,  53],\n",
              "          [ 39,  60,  51],\n",
              "          [ 38,  59,  50]],\n",
              "  \n",
              "         [[ 88, 108, 108],\n",
              "          [ 91, 110, 110],\n",
              "          [ 93, 110, 109],\n",
              "          ...,\n",
              "          [ 80,  98,  89],\n",
              "          [ 80,  99,  90],\n",
              "          [ 83, 102,  92]],\n",
              "  \n",
              "         [[ 84, 103, 103],\n",
              "          [ 86, 103, 104],\n",
              "          [ 88, 104, 104],\n",
              "          ...,\n",
              "          [124, 136, 127],\n",
              "          [123, 136, 127],\n",
              "          [123, 135, 125]]], dtype=uint8), array([[[192, 190, 195],\n",
              "          [191, 190, 194],\n",
              "          [193, 191, 195],\n",
              "          ...,\n",
              "          [199, 196, 200],\n",
              "          [200, 196, 199],\n",
              "          [201, 196, 198]],\n",
              "  \n",
              "         [[191, 190, 194],\n",
              "          [192, 191, 195],\n",
              "          [192, 191, 195],\n",
              "          ...,\n",
              "          [200, 197, 200],\n",
              "          [200, 197, 199],\n",
              "          [201, 197, 199]],\n",
              "  \n",
              "         [[192, 191, 195],\n",
              "          [191, 190, 194],\n",
              "          [192, 190, 194],\n",
              "          ...,\n",
              "          [200, 197, 199],\n",
              "          [199, 196, 198],\n",
              "          [200, 196, 198]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 89, 109, 106],\n",
              "          [ 91, 110, 108],\n",
              "          [ 91, 109, 107],\n",
              "          ...,\n",
              "          [ 38,  59,  51],\n",
              "          [ 38,  58,  50],\n",
              "          [ 39,  58,  50]],\n",
              "  \n",
              "         [[ 91, 109, 108],\n",
              "          [ 92, 110, 109],\n",
              "          [ 91, 109, 108],\n",
              "          ...,\n",
              "          [ 72,  93,  84],\n",
              "          [ 76,  94,  85],\n",
              "          [ 81,  98,  88]],\n",
              "  \n",
              "         [[ 87, 104, 103],\n",
              "          [ 86, 103, 103],\n",
              "          [ 85, 103, 102],\n",
              "          ...,\n",
              "          [119, 134, 126],\n",
              "          [120, 133, 125],\n",
              "          [122, 133, 124]]], dtype=uint8), array([[[192, 191, 195],\n",
              "          [193, 191, 195],\n",
              "          [194, 190, 195],\n",
              "          ...,\n",
              "          [200, 197, 199],\n",
              "          [199, 196, 198],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         [[192, 191, 195],\n",
              "          [193, 191, 196],\n",
              "          [194, 190, 195],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [200, 197, 199],\n",
              "          [200, 197, 199]],\n",
              "  \n",
              "         [[192, 191, 195],\n",
              "          [193, 191, 195],\n",
              "          [194, 190, 195],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [199, 196, 198],\n",
              "          [200, 197, 199]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 96, 113, 111],\n",
              "          [ 95, 112, 110],\n",
              "          [ 93, 109, 108],\n",
              "          ...,\n",
              "          [ 46,  66,  58],\n",
              "          [ 46,  64,  56],\n",
              "          [ 49,  65,  57]],\n",
              "  \n",
              "         [[ 91, 107, 105],\n",
              "          [ 89, 106, 104],\n",
              "          [ 89, 106, 104],\n",
              "          ...,\n",
              "          [ 91, 109, 100],\n",
              "          [ 94, 110, 101],\n",
              "          [ 99, 112, 104]],\n",
              "  \n",
              "         [[ 86, 103, 100],\n",
              "          [ 85, 102,  99],\n",
              "          [ 86, 104, 101],\n",
              "          ...,\n",
              "          [127, 138, 130],\n",
              "          [129, 136, 129],\n",
              "          [130, 135, 128]]], dtype=uint8), array([[[195, 191, 196],\n",
              "          [194, 190, 195],\n",
              "          [193, 189, 194],\n",
              "          ...,\n",
              "          [202, 195, 198],\n",
              "          [202, 195, 198],\n",
              "          [201, 196, 198]],\n",
              "  \n",
              "         [[194, 190, 195],\n",
              "          [194, 190, 195],\n",
              "          [193, 189, 195],\n",
              "          ...,\n",
              "          [201, 196, 198],\n",
              "          [201, 195, 198],\n",
              "          [202, 196, 199]],\n",
              "  \n",
              "         [[194, 190, 195],\n",
              "          [194, 190, 195],\n",
              "          [194, 190, 196],\n",
              "          ...,\n",
              "          [200, 195, 197],\n",
              "          [201, 196, 198],\n",
              "          [201, 196, 198]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 91, 107, 106],\n",
              "          [ 93, 109, 108],\n",
              "          [ 91, 107, 106],\n",
              "          ...,\n",
              "          [ 42,  56,  51],\n",
              "          [ 40,  54,  49],\n",
              "          [ 36,  53,  48]],\n",
              "  \n",
              "         [[ 94, 111, 109],\n",
              "          [ 96, 112, 111],\n",
              "          [ 93, 110, 109],\n",
              "          ...,\n",
              "          [ 72,  86,  79],\n",
              "          [ 74,  87,  80],\n",
              "          [ 75,  91,  83]],\n",
              "  \n",
              "         [[ 87, 105, 103],\n",
              "          [ 87, 105, 102],\n",
              "          [ 86, 104, 102],\n",
              "          ...,\n",
              "          [120, 132, 124],\n",
              "          [122, 131, 124],\n",
              "          [122, 132, 123]]], dtype=uint8), array([[[193, 189, 195],\n",
              "          [193, 189, 194],\n",
              "          [193, 189, 194],\n",
              "          ...,\n",
              "          [198, 193, 195],\n",
              "          [198, 193, 195],\n",
              "          [199, 194, 196]],\n",
              "  \n",
              "         [[193, 189, 194],\n",
              "          [193, 189, 194],\n",
              "          [192, 188, 193],\n",
              "          ...,\n",
              "          [197, 192, 194],\n",
              "          [197, 192, 194],\n",
              "          [198, 193, 196]],\n",
              "  \n",
              "         [[193, 189, 194],\n",
              "          [192, 188, 193],\n",
              "          [191, 189, 193],\n",
              "          ...,\n",
              "          [197, 192, 194],\n",
              "          [197, 192, 195],\n",
              "          [197, 192, 196]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 92, 108, 107],\n",
              "          [ 93, 110, 109],\n",
              "          [ 90, 107, 108],\n",
              "          ...,\n",
              "          [ 46,  64,  58],\n",
              "          [ 43,  61,  55],\n",
              "          [ 39,  60,  52]],\n",
              "  \n",
              "         [[ 92, 107, 107],\n",
              "          [ 94, 109, 109],\n",
              "          [ 92, 108, 109],\n",
              "          ...,\n",
              "          [ 86, 101,  94],\n",
              "          [ 85, 102,  94],\n",
              "          [ 83, 104,  94]],\n",
              "  \n",
              "         [[ 88, 102, 101],\n",
              "          [ 88, 102, 102],\n",
              "          [ 88, 103, 104],\n",
              "          ...,\n",
              "          [122, 133, 125],\n",
              "          [120, 132, 123],\n",
              "          [117, 131, 121]]], dtype=uint8), array([[[197, 193, 198],\n",
              "          [197, 193, 198],\n",
              "          [197, 193, 198],\n",
              "          ...,\n",
              "          [203, 199, 201],\n",
              "          [203, 198, 200],\n",
              "          [203, 198, 200]],\n",
              "  \n",
              "         [[198, 193, 198],\n",
              "          [198, 193, 198],\n",
              "          [197, 192, 197],\n",
              "          ...,\n",
              "          [202, 199, 201],\n",
              "          [203, 199, 201],\n",
              "          [204, 199, 201]],\n",
              "  \n",
              "         [[200, 194, 199],\n",
              "          [199, 193, 198],\n",
              "          [198, 193, 198],\n",
              "          ...,\n",
              "          [201, 198, 200],\n",
              "          [202, 199, 201],\n",
              "          [203, 198, 200]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 98, 111, 109],\n",
              "          [100, 113, 111],\n",
              "          [ 99, 113, 112],\n",
              "          ...,\n",
              "          [ 46,  63,  58],\n",
              "          [ 45,  62,  56],\n",
              "          [ 43,  60,  53]],\n",
              "  \n",
              "         [[ 99, 111, 109],\n",
              "          [100, 112, 111],\n",
              "          [ 99, 111, 111],\n",
              "          ...,\n",
              "          [ 82,  97,  91],\n",
              "          [ 81,  98,  91],\n",
              "          [ 84, 100,  92]],\n",
              "  \n",
              "         [[ 95, 107, 105],\n",
              "          [ 94, 106, 105],\n",
              "          [ 93, 105, 105],\n",
              "          ...,\n",
              "          [126, 138, 130],\n",
              "          [123, 136, 127],\n",
              "          [122, 135, 126]]], dtype=uint8), array([[[188, 187, 191],\n",
              "          [189, 186, 191],\n",
              "          [188, 184, 189],\n",
              "          ...,\n",
              "          [195, 190, 192],\n",
              "          [196, 191, 193],\n",
              "          [196, 191, 193]],\n",
              "  \n",
              "         [[188, 185, 190],\n",
              "          [189, 185, 190],\n",
              "          [188, 184, 189],\n",
              "          ...,\n",
              "          [196, 191, 193],\n",
              "          [196, 191, 193],\n",
              "          [197, 192, 194]],\n",
              "  \n",
              "         [[188, 184, 189],\n",
              "          [188, 184, 189],\n",
              "          [188, 184, 189],\n",
              "          ...,\n",
              "          [196, 191, 193],\n",
              "          [195, 190, 192],\n",
              "          [197, 192, 194]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 83, 101, 100],\n",
              "          [ 85, 103, 101],\n",
              "          [ 83, 102, 100],\n",
              "          ...,\n",
              "          [ 36,  53,  50],\n",
              "          [ 33,  52,  48],\n",
              "          [ 29,  48,  44]],\n",
              "  \n",
              "         [[ 87, 105, 103],\n",
              "          [ 89, 107, 105],\n",
              "          [ 87, 106, 105],\n",
              "          ...,\n",
              "          [ 62,  78,  72],\n",
              "          [ 62,  79,  73],\n",
              "          [ 63,  80,  74]],\n",
              "  \n",
              "         [[ 83, 101,  99],\n",
              "          [ 84, 102, 100],\n",
              "          [ 84, 102, 100],\n",
              "          ...,\n",
              "          [111, 123, 116],\n",
              "          [111, 124, 117],\n",
              "          [111, 125, 117]]], dtype=uint8), array([[[195, 190, 195],\n",
              "          [194, 190, 195],\n",
              "          [193, 190, 195],\n",
              "          ...,\n",
              "          [198, 196, 198],\n",
              "          [197, 195, 197],\n",
              "          [198, 195, 197]],\n",
              "  \n",
              "         [[193, 189, 194],\n",
              "          [193, 189, 194],\n",
              "          [193, 189, 194],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [198, 196, 198],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         [[193, 190, 194],\n",
              "          [193, 190, 195],\n",
              "          [192, 190, 195],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [199, 196, 198],\n",
              "          [200, 197, 199]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 89, 108, 107],\n",
              "          [ 91, 110, 109],\n",
              "          [ 89, 107, 108],\n",
              "          ...,\n",
              "          [ 40,  61,  53],\n",
              "          [ 41,  60,  52],\n",
              "          [ 42,  59,  52]],\n",
              "  \n",
              "         [[ 87, 107, 106],\n",
              "          [ 89, 108, 109],\n",
              "          [ 89, 107, 108],\n",
              "          ...,\n",
              "          [ 77,  98,  88],\n",
              "          [ 80,  99,  90],\n",
              "          [ 84, 101,  92]],\n",
              "  \n",
              "         [[ 83, 102, 102],\n",
              "          [ 83, 103, 103],\n",
              "          [ 85, 103, 104],\n",
              "          ...,\n",
              "          [121, 134, 126],\n",
              "          [121, 133, 125],\n",
              "          [120, 133, 124]]], dtype=uint8), array([[[195, 188, 195],\n",
              "          [195, 188, 195],\n",
              "          [194, 188, 194],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [200, 196, 198],\n",
              "          [200, 196, 198]],\n",
              "  \n",
              "         [[194, 189, 194],\n",
              "          [194, 188, 194],\n",
              "          [193, 187, 193],\n",
              "          ...,\n",
              "          [199, 195, 197],\n",
              "          [200, 196, 198],\n",
              "          [201, 197, 199]],\n",
              "  \n",
              "         [[193, 189, 194],\n",
              "          [194, 188, 194],\n",
              "          [193, 187, 193],\n",
              "          ...,\n",
              "          [200, 195, 197],\n",
              "          [200, 196, 198],\n",
              "          [201, 196, 198]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 90, 106, 105],\n",
              "          [ 87, 104, 105],\n",
              "          [ 84, 102, 103],\n",
              "          ...,\n",
              "          [ 34,  54,  49],\n",
              "          [ 29,  49,  44],\n",
              "          [ 29,  48,  42]],\n",
              "  \n",
              "         [[ 93, 110, 109],\n",
              "          [ 92, 110, 110],\n",
              "          [ 90, 108, 109],\n",
              "          ...,\n",
              "          [ 63,  81,  76],\n",
              "          [ 63,  82,  75],\n",
              "          [ 67,  84,  77]],\n",
              "  \n",
              "         [[ 88, 106, 105],\n",
              "          [ 89, 107, 106],\n",
              "          [ 88, 106, 107],\n",
              "          ...,\n",
              "          [113, 129, 122],\n",
              "          [115, 130, 122],\n",
              "          [118, 130, 123]]], dtype=uint8), array([[[199, 193, 198],\n",
              "          [198, 193, 198],\n",
              "          [197, 193, 198],\n",
              "          ...,\n",
              "          [205, 200, 202],\n",
              "          [206, 201, 203],\n",
              "          [205, 200, 202]],\n",
              "  \n",
              "         [[199, 193, 198],\n",
              "          [198, 193, 198],\n",
              "          [197, 193, 197],\n",
              "          ...,\n",
              "          [205, 200, 202],\n",
              "          [205, 200, 202],\n",
              "          [205, 200, 202]],\n",
              "  \n",
              "         [[198, 192, 197],\n",
              "          [198, 192, 197],\n",
              "          [196, 192, 197],\n",
              "          ...,\n",
              "          [203, 199, 201],\n",
              "          [204, 199, 201],\n",
              "          [204, 199, 201]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 91, 109, 107],\n",
              "          [ 93, 110, 108],\n",
              "          [ 94, 110, 108],\n",
              "          ...,\n",
              "          [ 48,  61,  57],\n",
              "          [ 47,  61,  56],\n",
              "          [ 45,  61,  55]],\n",
              "  \n",
              "         [[ 93, 111, 110],\n",
              "          [ 95, 112, 110],\n",
              "          [ 97, 112, 111],\n",
              "          ...,\n",
              "          [ 86,  97,  91],\n",
              "          [ 88, 100,  92],\n",
              "          [ 89, 103,  95]],\n",
              "  \n",
              "         [[ 90, 107, 106],\n",
              "          [ 90, 107, 106],\n",
              "          [ 91, 107, 106],\n",
              "          ...,\n",
              "          [128, 136, 128],\n",
              "          [127, 135, 127],\n",
              "          [127, 134, 127]]], dtype=uint8), array([[[190, 186, 191],\n",
              "          [190, 186, 191],\n",
              "          [189, 185, 190],\n",
              "          ...,\n",
              "          [195, 192, 194],\n",
              "          [197, 192, 194],\n",
              "          [197, 192, 194]],\n",
              "  \n",
              "         [[189, 185, 190],\n",
              "          [189, 185, 190],\n",
              "          [188, 184, 189],\n",
              "          ...,\n",
              "          [196, 192, 194],\n",
              "          [197, 192, 194],\n",
              "          [198, 193, 195]],\n",
              "  \n",
              "         [[187, 184, 188],\n",
              "          [188, 185, 189],\n",
              "          [188, 185, 190],\n",
              "          ...,\n",
              "          [196, 193, 195],\n",
              "          [197, 192, 194],\n",
              "          [198, 193, 195]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 83, 100, 102],\n",
              "          [ 84, 102, 103],\n",
              "          [ 87, 105, 106],\n",
              "          ...,\n",
              "          [ 42,  61,  55],\n",
              "          [ 43,  62,  56],\n",
              "          [ 42,  61,  55]],\n",
              "  \n",
              "         [[ 84, 102, 103],\n",
              "          [ 87, 105, 106],\n",
              "          [ 89, 107, 108],\n",
              "          ...,\n",
              "          [ 81,  99,  91],\n",
              "          [ 83, 101,  93],\n",
              "          [ 86, 103,  96]],\n",
              "  \n",
              "         [[ 82, 100, 101],\n",
              "          [ 82, 100, 101],\n",
              "          [ 84, 101, 103],\n",
              "          ...,\n",
              "          [118, 131, 122],\n",
              "          [119, 130, 122],\n",
              "          [118, 129, 121]]], dtype=uint8), array([[[192, 191, 195],\n",
              "          [193, 191, 195],\n",
              "          [194, 192, 196],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [200, 197, 199],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         [[193, 190, 194],\n",
              "          [193, 191, 195],\n",
              "          [193, 192, 196],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [199, 196, 198],\n",
              "          [200, 196, 198]],\n",
              "  \n",
              "         [[194, 190, 195],\n",
              "          [194, 190, 195],\n",
              "          [194, 191, 195],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [199, 195, 197],\n",
              "          [200, 195, 197]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 90, 108, 107],\n",
              "          [ 88, 107, 106],\n",
              "          [ 86, 104, 103],\n",
              "          ...,\n",
              "          [ 37,  57,  51],\n",
              "          [ 33,  54,  47],\n",
              "          [ 30,  51,  44]],\n",
              "  \n",
              "         [[ 93, 111, 110],\n",
              "          [ 91, 109, 109],\n",
              "          [ 89, 107, 107],\n",
              "          ...,\n",
              "          [ 70,  87,  79],\n",
              "          [ 69,  88,  80],\n",
              "          [ 70,  89,  82]],\n",
              "  \n",
              "         [[ 89, 106, 105],\n",
              "          [ 88, 105, 105],\n",
              "          [ 86, 105, 104],\n",
              "          ...,\n",
              "          [120, 133, 125],\n",
              "          [121, 134, 126],\n",
              "          [121, 133, 126]]], dtype=uint8), array([[[190, 186, 191],\n",
              "          [190, 186, 191],\n",
              "          [191, 186, 191],\n",
              "          ...,\n",
              "          [199, 194, 196],\n",
              "          [199, 194, 196],\n",
              "          [198, 194, 196]],\n",
              "  \n",
              "         [[191, 186, 191],\n",
              "          [191, 187, 192],\n",
              "          [192, 186, 191],\n",
              "          ...,\n",
              "          [199, 194, 196],\n",
              "          [198, 193, 195],\n",
              "          [197, 193, 195]],\n",
              "  \n",
              "         [[192, 186, 191],\n",
              "          [192, 186, 191],\n",
              "          [191, 186, 191],\n",
              "          ...,\n",
              "          [198, 193, 195],\n",
              "          [197, 192, 194],\n",
              "          [197, 193, 195]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 90, 107, 105],\n",
              "          [ 93, 110, 107],\n",
              "          [ 91, 108, 105],\n",
              "          ...,\n",
              "          [ 40,  63,  54],\n",
              "          [ 40,  62,  53],\n",
              "          [ 39,  60,  51]],\n",
              "  \n",
              "         [[ 90, 107, 105],\n",
              "          [ 92, 109, 107],\n",
              "          [ 91, 107, 106],\n",
              "          ...,\n",
              "          [ 77, 100,  90],\n",
              "          [ 81, 101,  92],\n",
              "          [ 83, 102,  93]],\n",
              "  \n",
              "         [[ 85, 101,  99],\n",
              "          [ 85, 101,  99],\n",
              "          [ 85, 101,  99],\n",
              "          ...,\n",
              "          [117, 134, 124],\n",
              "          [119, 133, 124],\n",
              "          [118, 131, 122]]], dtype=uint8), array([[[193, 189, 194],\n",
              "          [194, 190, 195],\n",
              "          [194, 190, 195],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [199, 196, 198],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         [[194, 190, 195],\n",
              "          [194, 190, 195],\n",
              "          [195, 191, 196],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [199, 196, 198],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         [[194, 190, 195],\n",
              "          [194, 190, 195],\n",
              "          [194, 190, 195],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [198, 195, 197],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 90, 108, 105],\n",
              "          [ 90, 108, 108],\n",
              "          [ 88, 106, 107],\n",
              "          ...,\n",
              "          [ 43,  59,  53],\n",
              "          [ 43,  59,  53],\n",
              "          [ 41,  57,  50]],\n",
              "  \n",
              "         [[ 91, 110, 108],\n",
              "          [ 92, 110, 110],\n",
              "          [ 89, 108, 109],\n",
              "          ...,\n",
              "          [ 75,  90,  83],\n",
              "          [ 77,  93,  85],\n",
              "          [ 80,  96,  87]],\n",
              "  \n",
              "         [[ 86, 104, 103],\n",
              "          [ 84, 103, 104],\n",
              "          [ 83, 102, 104],\n",
              "          ...,\n",
              "          [121, 132, 124],\n",
              "          [121, 131, 124],\n",
              "          [121, 131, 123]]], dtype=uint8), array([[[192, 191, 195],\n",
              "          [193, 192, 196],\n",
              "          [192, 191, 195],\n",
              "          ...,\n",
              "          [200, 195, 197],\n",
              "          [200, 195, 197],\n",
              "          [201, 196, 198]],\n",
              "  \n",
              "         [[192, 191, 195],\n",
              "          [193, 192, 196],\n",
              "          [193, 192, 196],\n",
              "          ...,\n",
              "          [200, 195, 197],\n",
              "          [200, 196, 198],\n",
              "          [200, 197, 199]],\n",
              "  \n",
              "         [[193, 190, 195],\n",
              "          [193, 192, 196],\n",
              "          [192, 191, 195],\n",
              "          ...,\n",
              "          [199, 195, 197],\n",
              "          [199, 195, 197],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 91, 110, 108],\n",
              "          [ 92, 111, 109],\n",
              "          [ 89, 109, 107],\n",
              "          ...,\n",
              "          [ 41,  61,  54],\n",
              "          [ 40,  61,  53],\n",
              "          [ 36,  60,  51]],\n",
              "  \n",
              "         [[ 92, 110, 108],\n",
              "          [ 93, 111, 110],\n",
              "          [ 91, 111, 109],\n",
              "          ...,\n",
              "          [ 76,  95,  86],\n",
              "          [ 76,  96,  87],\n",
              "          [ 77,  98,  88]],\n",
              "  \n",
              "         [[ 88, 104, 103],\n",
              "          [ 88, 106, 104],\n",
              "          [ 87, 107, 105],\n",
              "          ...,\n",
              "          [121, 134, 126],\n",
              "          [119, 132, 123],\n",
              "          [119, 131, 122]]], dtype=uint8), array([[[192, 189, 196],\n",
              "          [191, 189, 195],\n",
              "          [191, 189, 195],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [199, 196, 198],\n",
              "          [200, 197, 199]],\n",
              "  \n",
              "         [[191, 189, 196],\n",
              "          [191, 189, 195],\n",
              "          [190, 188, 194],\n",
              "          ...,\n",
              "          [197, 194, 196],\n",
              "          [198, 195, 197],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         [[191, 189, 195],\n",
              "          [191, 189, 195],\n",
              "          [191, 189, 195],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [199, 196, 198],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 89, 107, 105],\n",
              "          [ 91, 108, 107],\n",
              "          [ 90, 107, 106],\n",
              "          ...,\n",
              "          [ 40,  57,  54],\n",
              "          [ 36,  53,  50],\n",
              "          [ 31,  48,  44]],\n",
              "  \n",
              "         [[ 91, 110, 108],\n",
              "          [ 94, 111, 109],\n",
              "          [ 92, 110, 109],\n",
              "          ...,\n",
              "          [ 66,  80,  75],\n",
              "          [ 65,  80,  75],\n",
              "          [ 66,  83,  77]],\n",
              "  \n",
              "         [[ 87, 105, 104],\n",
              "          [ 88, 106, 104],\n",
              "          [ 88, 106, 106],\n",
              "          ...,\n",
              "          [115, 126, 120],\n",
              "          [117, 127, 121],\n",
              "          [118, 129, 122]]], dtype=uint8), array([[[193, 189, 194],\n",
              "          [192, 190, 194],\n",
              "          [191, 190, 193],\n",
              "          ...,\n",
              "          [199, 195, 197],\n",
              "          [201, 196, 198],\n",
              "          [201, 196, 198]],\n",
              "  \n",
              "         [[193, 189, 194],\n",
              "          [192, 189, 193],\n",
              "          [191, 189, 192],\n",
              "          ...,\n",
              "          [200, 196, 198],\n",
              "          [201, 196, 198],\n",
              "          [201, 196, 198]],\n",
              "  \n",
              "         [[193, 189, 194],\n",
              "          [191, 188, 193],\n",
              "          [191, 189, 193],\n",
              "          ...,\n",
              "          [199, 195, 197],\n",
              "          [200, 195, 197],\n",
              "          [201, 196, 198]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 88, 106, 105],\n",
              "          [ 92, 109, 107],\n",
              "          [ 92, 107, 106],\n",
              "          ...,\n",
              "          [ 38,  59,  53],\n",
              "          [ 37,  58,  52],\n",
              "          [ 32,  54,  47]],\n",
              "  \n",
              "         [[ 92, 109, 108],\n",
              "          [ 94, 111, 110],\n",
              "          [ 95, 109, 109],\n",
              "          ...,\n",
              "          [ 67,  86,  79],\n",
              "          [ 69,  88,  80],\n",
              "          [ 70,  90,  82]],\n",
              "  \n",
              "         [[ 87, 105, 103],\n",
              "          [ 88, 104, 103],\n",
              "          [ 89, 104, 103],\n",
              "          ...,\n",
              "          [116, 129, 122],\n",
              "          [117, 131, 122],\n",
              "          [117, 132, 123]]], dtype=uint8), array([[[194, 192, 196],\n",
              "          [192, 191, 195],\n",
              "          [191, 190, 194],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [198, 196, 198],\n",
              "          [197, 196, 198]],\n",
              "  \n",
              "         [[193, 192, 196],\n",
              "          [194, 193, 197],\n",
              "          [193, 192, 196],\n",
              "          ...,\n",
              "          [200, 197, 199],\n",
              "          [199, 196, 198],\n",
              "          [197, 195, 197]],\n",
              "  \n",
              "         [[194, 191, 196],\n",
              "          [193, 192, 196],\n",
              "          [193, 192, 196],\n",
              "          ...,\n",
              "          [200, 197, 199],\n",
              "          [199, 196, 198],\n",
              "          [198, 195, 197]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 91, 109, 108],\n",
              "          [ 90, 107, 106],\n",
              "          [ 88, 106, 105],\n",
              "          ...,\n",
              "          [ 39,  58,  53],\n",
              "          [ 36,  57,  50],\n",
              "          [ 33,  54,  48]],\n",
              "  \n",
              "         [[ 94, 112, 111],\n",
              "          [ 94, 112, 111],\n",
              "          [ 93, 110, 109],\n",
              "          ...,\n",
              "          [ 71,  91,  83],\n",
              "          [ 70,  91,  83],\n",
              "          [ 73,  92,  84]],\n",
              "  \n",
              "         [[ 90, 107, 106],\n",
              "          [ 91, 108, 106],\n",
              "          [ 91, 108, 106],\n",
              "          ...,\n",
              "          [118, 135, 126],\n",
              "          [117, 134, 125],\n",
              "          [120, 133, 124]]], dtype=uint8), array([[[192, 189, 194],\n",
              "          [191, 187, 192],\n",
              "          [192, 188, 193],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [198, 195, 197],\n",
              "          [198, 195, 197]],\n",
              "  \n",
              "         [[192, 188, 193],\n",
              "          [192, 188, 193],\n",
              "          [193, 188, 193],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [198, 195, 197],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         [[192, 188, 193],\n",
              "          [192, 188, 193],\n",
              "          [193, 188, 193],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [197, 194, 196],\n",
              "          [198, 195, 197]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 87, 108, 106],\n",
              "          [ 89, 110, 108],\n",
              "          [ 88, 110, 108],\n",
              "          ...,\n",
              "          [ 37,  60,  55],\n",
              "          [ 36,  60,  53],\n",
              "          [ 35,  59,  51]],\n",
              "  \n",
              "         [[ 88, 108, 107],\n",
              "          [ 90, 111, 109],\n",
              "          [ 89, 111, 109],\n",
              "          ...,\n",
              "          [ 74,  95,  87],\n",
              "          [ 73,  96,  87],\n",
              "          [ 76,  98,  88]],\n",
              "  \n",
              "         [[ 83, 104, 102],\n",
              "          [ 83, 104, 102],\n",
              "          [ 83, 105, 103],\n",
              "          ...,\n",
              "          [119, 133, 125],\n",
              "          [116, 131, 122],\n",
              "          [116, 130, 121]]], dtype=uint8), array([[[191, 190, 194],\n",
              "          [191, 189, 193],\n",
              "          [191, 190, 194],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [198, 195, 197],\n",
              "          [198, 195, 198]],\n",
              "  \n",
              "         [[192, 190, 194],\n",
              "          [192, 189, 194],\n",
              "          [193, 189, 193],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [199, 196, 198],\n",
              "          [199, 195, 199]],\n",
              "  \n",
              "         [[193, 189, 194],\n",
              "          [193, 190, 193],\n",
              "          [193, 189, 193],\n",
              "          ...,\n",
              "          [199, 196, 198],\n",
              "          [199, 195, 197],\n",
              "          [200, 195, 198]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 93, 112, 110],\n",
              "          [ 92, 111, 108],\n",
              "          [ 90, 108, 105],\n",
              "          ...,\n",
              "          [ 38,  61,  54],\n",
              "          [ 39,  60,  53],\n",
              "          [ 40,  59,  53]],\n",
              "  \n",
              "         [[ 94, 113, 110],\n",
              "          [ 92, 111, 109],\n",
              "          [ 90, 109, 106],\n",
              "          ...,\n",
              "          [ 73,  96,  87],\n",
              "          [ 78,  97,  89],\n",
              "          [ 83,  99,  91]],\n",
              "  \n",
              "         [[ 88, 107, 104],\n",
              "          [ 88, 106, 104],\n",
              "          [ 87, 105, 104],\n",
              "          ...,\n",
              "          [119, 134, 125],\n",
              "          [121, 132, 124],\n",
              "          [123, 132, 124]]], dtype=uint8), array([[[190, 188, 193],\n",
              "          [191, 188, 194],\n",
              "          [190, 187, 193],\n",
              "          ...,\n",
              "          [198, 194, 196],\n",
              "          [198, 193, 195],\n",
              "          [198, 194, 196]],\n",
              "  \n",
              "         [[189, 187, 193],\n",
              "          [189, 187, 193],\n",
              "          [189, 186, 192],\n",
              "          ...,\n",
              "          [196, 193, 195],\n",
              "          [197, 193, 195],\n",
              "          [196, 193, 196]],\n",
              "  \n",
              "         [[189, 187, 193],\n",
              "          [189, 186, 192],\n",
              "          [190, 187, 193],\n",
              "          ...,\n",
              "          [195, 192, 194],\n",
              "          [196, 192, 194],\n",
              "          [195, 192, 195]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 87, 105, 106],\n",
              "          [ 87, 105, 106],\n",
              "          [ 86, 104, 105],\n",
              "          ...,\n",
              "          [ 41,  56,  50],\n",
              "          [ 37,  54,  48],\n",
              "          [ 33,  52,  46]],\n",
              "  \n",
              "         [[ 89, 107, 108],\n",
              "          [ 90, 108, 109],\n",
              "          [ 88, 106, 107],\n",
              "          ...,\n",
              "          [ 73,  86,  80],\n",
              "          [ 71,  87,  80],\n",
              "          [ 72,  89,  81]],\n",
              "  \n",
              "         [[ 85, 102, 103],\n",
              "          [ 84, 102, 103],\n",
              "          [ 83, 101, 102],\n",
              "          ...,\n",
              "          [119, 129, 122],\n",
              "          [116, 129, 122],\n",
              "          [115, 129, 120]]], dtype=uint8), array([[[192, 188, 193],\n",
              "          [192, 188, 193],\n",
              "          [192, 188, 193],\n",
              "          ...,\n",
              "          [196, 193, 195],\n",
              "          [197, 194, 196],\n",
              "          [197, 194, 196]],\n",
              "  \n",
              "         [[192, 188, 193],\n",
              "          [193, 189, 194],\n",
              "          [192, 188, 193],\n",
              "          ...,\n",
              "          [197, 194, 196],\n",
              "          [197, 194, 196],\n",
              "          [196, 193, 195]],\n",
              "  \n",
              "         [[192, 188, 194],\n",
              "          [193, 189, 194],\n",
              "          [192, 188, 193],\n",
              "          ...,\n",
              "          [196, 193, 195],\n",
              "          [196, 193, 195],\n",
              "          [196, 193, 195]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 91, 109, 109],\n",
              "          [ 87, 106, 107],\n",
              "          [ 83, 103, 105],\n",
              "          ...,\n",
              "          [ 38,  56,  53],\n",
              "          [ 32,  52,  48],\n",
              "          [ 32,  51,  47]],\n",
              "  \n",
              "         [[ 91, 109, 110],\n",
              "          [ 89, 107, 108],\n",
              "          [ 85, 104, 106],\n",
              "          ...,\n",
              "          [ 70,  86,  81],\n",
              "          [ 66,  85,  79],\n",
              "          [ 68,  88,  81]],\n",
              "  \n",
              "         [[ 84, 102, 103],\n",
              "          [ 83, 101, 103],\n",
              "          [ 82, 101, 104],\n",
              "          ...,\n",
              "          [120, 130, 123],\n",
              "          [116, 130, 122],\n",
              "          [114, 129, 121]]], dtype=uint8), array([[[187, 186, 190],\n",
              "          [188, 185, 189],\n",
              "          [188, 186, 190],\n",
              "          ...,\n",
              "          [193, 190, 192],\n",
              "          [193, 190, 192],\n",
              "          [193, 191, 193]],\n",
              "  \n",
              "         [[187, 186, 190],\n",
              "          [187, 185, 189],\n",
              "          [185, 185, 189],\n",
              "          ...,\n",
              "          [193, 190, 192],\n",
              "          [193, 190, 192],\n",
              "          [193, 191, 193]],\n",
              "  \n",
              "         [[187, 186, 190],\n",
              "          [185, 185, 189],\n",
              "          [183, 183, 188],\n",
              "          ...,\n",
              "          [192, 189, 191],\n",
              "          [193, 190, 192],\n",
              "          [192, 191, 193]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 87, 106, 104],\n",
              "          [ 85, 105, 104],\n",
              "          [ 81, 103, 101],\n",
              "          ...,\n",
              "          [ 32,  50,  46],\n",
              "          [ 28,  46,  42],\n",
              "          [ 29,  48,  42]],\n",
              "  \n",
              "         [[ 87, 104, 104],\n",
              "          [ 85, 104, 104],\n",
              "          [ 83, 103, 102],\n",
              "          ...,\n",
              "          [ 66,  81,  76],\n",
              "          [ 65,  81,  75],\n",
              "          [ 68,  85,  78]],\n",
              "  \n",
              "         [[ 83,  98,  99],\n",
              "          [ 81,  98,  99],\n",
              "          [ 80,  99, 100],\n",
              "          ...,\n",
              "          [113, 126, 119],\n",
              "          [112, 125, 118],\n",
              "          [112, 126, 118]]], dtype=uint8), array([[[187, 185, 191],\n",
              "          [188, 186, 192],\n",
              "          [187, 185, 191],\n",
              "          ...,\n",
              "          [193, 192, 194],\n",
              "          [193, 191, 193],\n",
              "          [193, 190, 192]],\n",
              "  \n",
              "         [[187, 185, 191],\n",
              "          [188, 186, 191],\n",
              "          [187, 185, 190],\n",
              "          ...,\n",
              "          [192, 191, 193],\n",
              "          [192, 190, 192],\n",
              "          [192, 191, 193]],\n",
              "  \n",
              "         [[187, 185, 191],\n",
              "          [187, 186, 191],\n",
              "          [187, 186, 190],\n",
              "          ...,\n",
              "          [191, 190, 192],\n",
              "          [191, 191, 193],\n",
              "          [192, 191, 193]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 84, 104, 100],\n",
              "          [ 85, 104, 101],\n",
              "          [ 83, 102, 100],\n",
              "          ...,\n",
              "          [ 38,  54,  48],\n",
              "          [ 36,  53,  47],\n",
              "          [ 33,  51,  46]],\n",
              "  \n",
              "         [[ 88, 106, 104],\n",
              "          [ 88, 106, 105],\n",
              "          [ 87, 105, 105],\n",
              "          ...,\n",
              "          [ 71,  86,  78],\n",
              "          [ 71,  88,  80],\n",
              "          [ 73,  90,  83]],\n",
              "  \n",
              "         [[ 83, 101, 100],\n",
              "          [ 82, 100,  99],\n",
              "          [ 83, 101, 101],\n",
              "          ...,\n",
              "          [115, 127, 119],\n",
              "          [114, 127, 119],\n",
              "          [114, 127, 118]]], dtype=uint8), array([[[189, 186, 192],\n",
              "          [190, 186, 192],\n",
              "          [191, 187, 193],\n",
              "          ...,\n",
              "          [197, 193, 195],\n",
              "          [196, 193, 195],\n",
              "          [196, 192, 194]],\n",
              "  \n",
              "         [[189, 185, 191],\n",
              "          [190, 186, 192],\n",
              "          [190, 186, 192],\n",
              "          ...,\n",
              "          [197, 194, 196],\n",
              "          [196, 193, 195],\n",
              "          [198, 193, 195]],\n",
              "  \n",
              "         [[190, 186, 192],\n",
              "          [190, 186, 192],\n",
              "          [190, 186, 191],\n",
              "          ...,\n",
              "          [196, 193, 195],\n",
              "          [196, 192, 194],\n",
              "          [199, 194, 196]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 88, 107, 107],\n",
              "          [ 87, 106, 106],\n",
              "          [ 85, 105, 103],\n",
              "          ...,\n",
              "          [ 32,  53,  49],\n",
              "          [ 27,  51,  46],\n",
              "          [ 24,  50,  44]],\n",
              "  \n",
              "         [[ 90, 108, 109],\n",
              "          [ 90, 108, 108],\n",
              "          [ 89, 107, 106],\n",
              "          ...,\n",
              "          [ 63,  82,  77],\n",
              "          [ 61,  84,  78],\n",
              "          [ 61,  88,  80]],\n",
              "  \n",
              "         [[ 85, 103, 103],\n",
              "          [ 86, 104, 104],\n",
              "          [ 87, 104, 103],\n",
              "          ...,\n",
              "          [114, 128, 123],\n",
              "          [113, 129, 123],\n",
              "          [111, 131, 123]]], dtype=uint8), array([[[190, 189, 192],\n",
              "          [191, 189, 192],\n",
              "          [192, 189, 193],\n",
              "          ...,\n",
              "          [201, 196, 198],\n",
              "          [200, 195, 197],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         [[191, 190, 192],\n",
              "          [191, 189, 193],\n",
              "          [192, 188, 193],\n",
              "          ...,\n",
              "          [201, 196, 198],\n",
              "          [200, 196, 198],\n",
              "          [199, 195, 197]],\n",
              "  \n",
              "         [[191, 190, 193],\n",
              "          [191, 189, 194],\n",
              "          [192, 189, 194],\n",
              "          ...,\n",
              "          [200, 195, 197],\n",
              "          [199, 195, 197],\n",
              "          [199, 196, 198]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 89, 107, 106],\n",
              "          [ 87, 105, 104],\n",
              "          [ 85, 103, 103],\n",
              "          ...,\n",
              "          [ 43,  59,  54],\n",
              "          [ 37,  55,  49],\n",
              "          [ 33,  52,  46]],\n",
              "  \n",
              "         [[ 91, 109, 108],\n",
              "          [ 90, 107, 106],\n",
              "          [ 89, 106, 105],\n",
              "          ...,\n",
              "          [ 73,  88,  81],\n",
              "          [ 73,  88,  80],\n",
              "          [ 73,  90,  82]],\n",
              "  \n",
              "         [[ 86, 103, 102],\n",
              "          [ 86, 103, 102],\n",
              "          [ 87, 104, 103],\n",
              "          ...,\n",
              "          [118, 131, 123],\n",
              "          [118, 130, 122],\n",
              "          [118, 130, 123]]], dtype=uint8), array([[[193, 192, 196],\n",
              "          [191, 190, 194],\n",
              "          [190, 188, 194],\n",
              "          ...,\n",
              "          [200, 195, 197],\n",
              "          [200, 196, 198],\n",
              "          [200, 195, 197]],\n",
              "  \n",
              "         [[193, 191, 195],\n",
              "          [193, 191, 196],\n",
              "          [192, 190, 195],\n",
              "          ...,\n",
              "          [198, 195, 197],\n",
              "          [198, 195, 197],\n",
              "          [199, 195, 197]],\n",
              "  \n",
              "         [[193, 191, 195],\n",
              "          [194, 191, 196],\n",
              "          [194, 190, 195],\n",
              "          ...,\n",
              "          [197, 194, 196],\n",
              "          [197, 194, 196],\n",
              "          [198, 195, 197]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 91, 109, 108],\n",
              "          [ 92, 112, 111],\n",
              "          [ 89, 110, 110],\n",
              "          ...,\n",
              "          [ 40,  61,  54],\n",
              "          [ 38,  61,  53],\n",
              "          [ 39,  60,  51]],\n",
              "  \n",
              "         [[ 92, 110, 109],\n",
              "          [ 93, 112, 112],\n",
              "          [ 91, 110, 110],\n",
              "          ...,\n",
              "          [ 79,  98,  89],\n",
              "          [ 79,  99,  90],\n",
              "          [ 82, 101,  91]],\n",
              "  \n",
              "         [[ 87, 104, 104],\n",
              "          [ 86, 104, 104],\n",
              "          [ 84, 102, 103],\n",
              "          ...,\n",
              "          [123, 134, 127],\n",
              "          [121, 134, 126],\n",
              "          [120, 132, 123]]], dtype=uint8), array([[[185, 185, 189],\n",
              "          [187, 186, 190],\n",
              "          [188, 185, 190],\n",
              "          ...,\n",
              "          [193, 190, 192],\n",
              "          [194, 191, 193],\n",
              "          [193, 190, 192]],\n",
              "  \n",
              "         [[185, 186, 190],\n",
              "          [187, 185, 190],\n",
              "          [187, 184, 190],\n",
              "          ...,\n",
              "          [194, 191, 193],\n",
              "          [194, 191, 193],\n",
              "          [194, 191, 193]],\n",
              "  \n",
              "         [[185, 185, 190],\n",
              "          [187, 185, 190],\n",
              "          [186, 184, 190],\n",
              "          ...,\n",
              "          [194, 191, 193],\n",
              "          [193, 190, 192],\n",
              "          [193, 190, 192]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 84, 103, 100],\n",
              "          [ 86, 104, 101],\n",
              "          [ 84, 102,  99],\n",
              "          ...,\n",
              "          [ 34,  56,  49],\n",
              "          [ 30,  51,  45],\n",
              "          [ 24,  46,  40]],\n",
              "  \n",
              "         [[ 87, 106, 103],\n",
              "          [ 89, 108, 105],\n",
              "          [ 87, 106, 103],\n",
              "          ...,\n",
              "          [ 62,  81,  73],\n",
              "          [ 61,  80,  73],\n",
              "          [ 62,  81,  74]],\n",
              "  \n",
              "         [[ 82, 101,  99],\n",
              "          [ 83, 102,  99],\n",
              "          [ 82, 101,  98],\n",
              "          ...,\n",
              "          [111, 126, 118],\n",
              "          [111, 126, 119],\n",
              "          [112, 126, 119]]], dtype=uint8), array([[[188, 186, 190],\n",
              "          [189, 186, 191],\n",
              "          [190, 187, 191],\n",
              "          ...,\n",
              "          [193, 190, 192],\n",
              "          [194, 190, 192],\n",
              "          [195, 190, 192]],\n",
              "  \n",
              "         [[187, 187, 191],\n",
              "          [188, 187, 191],\n",
              "          [190, 187, 192],\n",
              "          ...,\n",
              "          [193, 190, 192],\n",
              "          [193, 189, 191],\n",
              "          [195, 190, 192]],\n",
              "  \n",
              "         [[187, 187, 191],\n",
              "          [188, 188, 192],\n",
              "          [188, 187, 191],\n",
              "          ...,\n",
              "          [192, 189, 191],\n",
              "          [193, 189, 191],\n",
              "          [195, 191, 193]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 86, 104, 102],\n",
              "          [ 88, 106, 104],\n",
              "          [ 87, 104, 102],\n",
              "          ...,\n",
              "          [ 34,  55,  49],\n",
              "          [ 33,  54,  46],\n",
              "          [ 33,  52,  44]],\n",
              "  \n",
              "         [[ 87, 105, 104],\n",
              "          [ 88, 106, 105],\n",
              "          [ 88, 105, 104],\n",
              "          ...,\n",
              "          [ 67,  86,  78],\n",
              "          [ 69,  88,  80],\n",
              "          [ 74,  92,  83]],\n",
              "  \n",
              "         [[ 81, 100,  98],\n",
              "          [ 82, 100,  98],\n",
              "          [ 83, 100,  99],\n",
              "          ...,\n",
              "          [112, 127, 120],\n",
              "          [112, 127, 119],\n",
              "          [113, 128, 120]]], dtype=uint8), array([[[192, 188, 193],\n",
              "          [192, 188, 194],\n",
              "          [192, 188, 194],\n",
              "          ...,\n",
              "          [197, 194, 196],\n",
              "          [197, 194, 196],\n",
              "          [197, 194, 196]],\n",
              "  \n",
              "         [[192, 188, 193],\n",
              "          [193, 189, 194],\n",
              "          [193, 189, 194],\n",
              "          ...,\n",
              "          [196, 193, 195],\n",
              "          [197, 194, 196],\n",
              "          [196, 193, 195]],\n",
              "  \n",
              "         [[192, 188, 193],\n",
              "          [193, 189, 194],\n",
              "          [193, 189, 194],\n",
              "          ...,\n",
              "          [195, 192, 194],\n",
              "          [196, 193, 195],\n",
              "          [196, 193, 195]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 89, 107, 106],\n",
              "          [ 92, 110, 109],\n",
              "          [ 91, 110, 107],\n",
              "          ...,\n",
              "          [ 40,  60,  56],\n",
              "          [ 41,  60,  55],\n",
              "          [ 38,  59,  52]],\n",
              "  \n",
              "         [[ 90, 107, 106],\n",
              "          [ 91, 110, 109],\n",
              "          [ 90, 109, 108],\n",
              "          ...,\n",
              "          [ 79,  96,  90],\n",
              "          [ 82,  99,  92],\n",
              "          [ 83, 101,  92]],\n",
              "  \n",
              "         [[ 86, 103, 102],\n",
              "          [ 86, 103, 102],\n",
              "          [ 85, 103, 102],\n",
              "          ...,\n",
              "          [120, 132, 126],\n",
              "          [121, 133, 125],\n",
              "          [120, 132, 123]]], dtype=uint8), array([[[189, 188, 192],\n",
              "          [189, 188, 193],\n",
              "          [189, 188, 192],\n",
              "          ...,\n",
              "          [192, 189, 191],\n",
              "          [192, 189, 191],\n",
              "          [193, 190, 192]],\n",
              "  \n",
              "         [[188, 187, 191],\n",
              "          [189, 188, 192],\n",
              "          [189, 188, 192],\n",
              "          ...,\n",
              "          [193, 190, 192],\n",
              "          [193, 190, 192],\n",
              "          [194, 191, 193]],\n",
              "  \n",
              "         [[189, 186, 191],\n",
              "          [190, 187, 191],\n",
              "          [189, 188, 192],\n",
              "          ...,\n",
              "          [194, 191, 193],\n",
              "          [194, 191, 193],\n",
              "          [193, 190, 192]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 83, 101, 102],\n",
              "          [ 86, 104, 105],\n",
              "          [ 84, 102, 103],\n",
              "          ...,\n",
              "          [ 37,  53,  50],\n",
              "          [ 30,  49,  45],\n",
              "          [ 24,  47,  40]],\n",
              "  \n",
              "         [[ 86, 104, 104],\n",
              "          [ 88, 106, 106],\n",
              "          [ 87, 105, 105],\n",
              "          ...,\n",
              "          [ 63,  79,  74],\n",
              "          [ 61,  79,  73],\n",
              "          [ 62,  82,  74]],\n",
              "  \n",
              "         [[ 83, 101, 100],\n",
              "          [ 82, 100, 100],\n",
              "          [ 82, 100, 100],\n",
              "          ...,\n",
              "          [112, 124, 117],\n",
              "          [113, 125, 118],\n",
              "          [113, 127, 119]]], dtype=uint8), array([[[190, 189, 193],\n",
              "          [191, 188, 193],\n",
              "          [189, 188, 192],\n",
              "          ...,\n",
              "          [192, 190, 192],\n",
              "          [194, 191, 193],\n",
              "          [193, 190, 192]],\n",
              "  \n",
              "         [[189, 188, 192],\n",
              "          [190, 188, 192],\n",
              "          [189, 188, 192],\n",
              "          ...,\n",
              "          [192, 190, 192],\n",
              "          [194, 191, 193],\n",
              "          [194, 191, 193]],\n",
              "  \n",
              "         [[188, 187, 191],\n",
              "          [188, 187, 191],\n",
              "          [188, 187, 191],\n",
              "          ...,\n",
              "          [192, 189, 191],\n",
              "          [193, 190, 192],\n",
              "          [194, 191, 193]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 87, 103, 104],\n",
              "          [ 87, 104, 105],\n",
              "          [ 83, 101, 101],\n",
              "          ...,\n",
              "          [ 33,  57,  51],\n",
              "          [ 30,  55,  48],\n",
              "          [ 28,  50,  43]],\n",
              "  \n",
              "         [[ 90, 106, 108],\n",
              "          [ 91, 107, 109],\n",
              "          [ 87, 105, 106],\n",
              "          ...,\n",
              "          [ 57,  80,  73],\n",
              "          [ 57,  81,  73],\n",
              "          [ 61,  82,  74]],\n",
              "  \n",
              "         [[ 85, 102, 104],\n",
              "          [ 85, 102, 104],\n",
              "          [ 83, 101, 102],\n",
              "          ...,\n",
              "          [103, 123, 115],\n",
              "          [103, 124, 116],\n",
              "          [109, 124, 117]]], dtype=uint8), array([[[191, 187, 193],\n",
              "          [191, 187, 193],\n",
              "          [191, 187, 192],\n",
              "          ...,\n",
              "          [194, 191, 193],\n",
              "          [194, 191, 193],\n",
              "          [195, 192, 194]],\n",
              "  \n",
              "         [[191, 187, 193],\n",
              "          [191, 187, 193],\n",
              "          [190, 186, 191],\n",
              "          ...,\n",
              "          [194, 192, 194],\n",
              "          [195, 192, 194],\n",
              "          [195, 192, 194]],\n",
              "  \n",
              "         [[191, 187, 193],\n",
              "          [190, 186, 192],\n",
              "          [190, 186, 191],\n",
              "          ...,\n",
              "          [193, 191, 193],\n",
              "          [194, 191, 193],\n",
              "          [195, 192, 194]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 87, 103, 103],\n",
              "          [ 87, 104, 104],\n",
              "          [ 85, 102, 103],\n",
              "          ...,\n",
              "          [ 31,  54,  48],\n",
              "          [ 25,  49,  41],\n",
              "          [ 22,  45,  37]],\n",
              "  \n",
              "         [[ 91, 108, 108],\n",
              "          [ 91, 108, 109],\n",
              "          [ 89, 106, 107],\n",
              "          ...,\n",
              "          [ 57,  80,  73],\n",
              "          [ 56,  79,  70],\n",
              "          [ 57,  80,  71]],\n",
              "  \n",
              "         [[ 87, 104, 105],\n",
              "          [ 87, 104, 105],\n",
              "          [ 85, 104, 105],\n",
              "          ...,\n",
              "          [109, 126, 118],\n",
              "          [109, 125, 117],\n",
              "          [110, 126, 117]]], dtype=uint8), array([[[189, 185, 190],\n",
              "          [189, 185, 190],\n",
              "          [189, 185, 190],\n",
              "          ...,\n",
              "          [195, 191, 193],\n",
              "          [194, 191, 193],\n",
              "          [194, 191, 193]],\n",
              "  \n",
              "         [[189, 185, 190],\n",
              "          [190, 186, 191],\n",
              "          [189, 185, 190],\n",
              "          ...,\n",
              "          [194, 190, 192],\n",
              "          [193, 191, 193],\n",
              "          [194, 191, 193]],\n",
              "  \n",
              "         [[190, 185, 190],\n",
              "          [190, 186, 191],\n",
              "          [189, 185, 190],\n",
              "          ...,\n",
              "          [193, 190, 192],\n",
              "          [192, 190, 192],\n",
              "          [192, 191, 193]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 84, 102, 101],\n",
              "          [ 86, 104, 103],\n",
              "          [ 86, 104, 103],\n",
              "          ...,\n",
              "          [ 36,  55,  50],\n",
              "          [ 35,  55,  49],\n",
              "          [ 35,  54,  47]],\n",
              "  \n",
              "         [[ 88, 106, 105],\n",
              "          [ 89, 107, 106],\n",
              "          [ 89, 107, 106],\n",
              "          ...,\n",
              "          [ 69,  87,  80],\n",
              "          [ 71,  89,  82],\n",
              "          [ 74,  92,  83]],\n",
              "  \n",
              "         [[ 84, 102, 101],\n",
              "          [ 84, 102, 101],\n",
              "          [ 83, 101, 100],\n",
              "          ...,\n",
              "          [116, 129, 123],\n",
              "          [116, 129, 121],\n",
              "          [114, 127, 119]]], dtype=uint8), array([[[191, 186, 191],\n",
              "          [191, 186, 191],\n",
              "          [192, 187, 192],\n",
              "          ...,\n",
              "          [197, 194, 196],\n",
              "          [197, 194, 196],\n",
              "          [196, 193, 195]],\n",
              "  \n",
              "         [[192, 187, 192],\n",
              "          [191, 187, 192],\n",
              "          [191, 187, 192],\n",
              "          ...,\n",
              "          [196, 193, 195],\n",
              "          [196, 193, 195],\n",
              "          [196, 193, 195]],\n",
              "  \n",
              "         [[193, 187, 192],\n",
              "          [192, 188, 193],\n",
              "          [192, 187, 192],\n",
              "          ...,\n",
              "          [196, 193, 195],\n",
              "          [196, 193, 195],\n",
              "          [197, 193, 195]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 89, 106, 105],\n",
              "          [ 89, 106, 105],\n",
              "          [ 88, 104, 103],\n",
              "          ...,\n",
              "          [ 36,  54,  51],\n",
              "          [ 29,  50,  46],\n",
              "          [ 23,  47,  43]],\n",
              "  \n",
              "         [[ 94, 111, 111],\n",
              "          [ 93, 111, 110],\n",
              "          [ 91, 109, 108],\n",
              "          ...,\n",
              "          [ 63,  79,  74],\n",
              "          [ 60,  80,  74],\n",
              "          [ 60,  82,  75]],\n",
              "  \n",
              "         [[ 88, 106, 106],\n",
              "          [ 88, 106, 106],\n",
              "          [ 88, 106, 105],\n",
              "          ...,\n",
              "          [113, 125, 119],\n",
              "          [114, 126, 120],\n",
              "          [115, 129, 121]]], dtype=uint8), array([[[193, 189, 194],\n",
              "          [193, 189, 194],\n",
              "          [192, 189, 193],\n",
              "          ...,\n",
              "          [195, 192, 194],\n",
              "          [196, 193, 195],\n",
              "          [196, 193, 195]],\n",
              "  \n",
              "         [[193, 189, 194],\n",
              "          [192, 188, 193],\n",
              "          [191, 188, 192],\n",
              "          ...,\n",
              "          [196, 192, 194],\n",
              "          [196, 192, 194],\n",
              "          [196, 192, 194]],\n",
              "  \n",
              "         [[192, 188, 193],\n",
              "          [191, 188, 193],\n",
              "          [190, 188, 192],\n",
              "          ...,\n",
              "          [197, 193, 195],\n",
              "          [197, 192, 194],\n",
              "          [197, 193, 195]],\n",
              "  \n",
              "         ...,\n",
              "  \n",
              "         [[ 87, 105, 105],\n",
              "          [ 88, 106, 106],\n",
              "          [ 86, 103, 103],\n",
              "          ...,\n",
              "          [ 38,  58,  50],\n",
              "          [ 33,  53,  45],\n",
              "          [ 27,  48,  40]],\n",
              "  \n",
              "         [[ 92, 110, 109],\n",
              "          [ 93, 111, 111],\n",
              "          [ 92, 109, 110],\n",
              "          ...,\n",
              "          [ 64,  82,  73],\n",
              "          [ 64,  82,  73],\n",
              "          [ 64,  83,  74]],\n",
              "  \n",
              "         [[ 87, 105, 104],\n",
              "          [ 89, 107, 106],\n",
              "          [ 89, 107, 107],\n",
              "          ...,\n",
              "          [113, 129, 119],\n",
              "          [115, 130, 120],\n",
              "          [116, 130, 121]]], dtype=uint8)],\n",
              " 'depth': [array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16),\n",
              "  array([[0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         ...,\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0],\n",
              "         [0, 0, 0, ..., 0, 0, 0]], dtype=uint16)],\n",
              " 'images': [array([[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
              "           0.        ,  0.        ],\n",
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              "         [ 0.        ,  0.        ,  0.        , ..., 13.14603519,\n",
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              " 'pc': [array([[ 1.38482003e+00,  6.36210870e-05, -1.67965040e-02],\n",
              "         [ 1.38766656e+00,  3.11525964e-04, -1.76803314e-02],\n",
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              "         ...,\n",
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              "         [ 7.10769056e-02,  7.32312489e-01, -5.33063040e-02],\n",
              "         [ 7.47644775e-02,  7.32111907e-01, -5.41533864e-02]]),\n",
              "  array([[ 4.40495478e-01,  2.60131262e-04, -9.70153556e-02],\n",
              "         [ 4.44227007e-01,  7.74731885e-04, -9.88643578e-02],\n",
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              "         [ 1.20697384e+00,  7.71922713e-01, -4.23696020e-02],\n",
              "         [ 1.21012221e+00,  7.72140569e-01, -4.12389501e-02]]),\n",
              "  array([[ 1.05966030e+00,  1.60584733e-04, -4.02972804e-02],\n",
              "         [ 1.02610896e+00,  2.41043235e-04, -2.96793500e-02],\n",
              "         [ 1.02918165e+00,  7.41760665e-04, -3.15556319e-02],\n",
              "         ...,\n",
              "         [ 2.17803916e-01,  7.14679145e-01, -1.81262064e-01],\n",
              "         [ 1.43827718e-01,  7.48806259e-01, -7.53773586e-02],\n",
              "         [ 1.49070687e-01,  7.47969014e-01, -7.91599078e-02]]),\n",
              "  array([[ 6.40433762e-04,  6.38073215e-03, -2.41400805e-01],\n",
              "         [ 1.83469751e+00,  5.79136674e-03, -2.41761713e-02],\n",
              "         [ 1.83771430e+00,  5.78561425e-03, -2.40509733e-02],\n",
              "         ...,\n",
              "         [ 1.67177382e+00,  7.70696780e-01, -3.80918462e-02],\n",
              "         [ 1.67518649e+00,  7.70916009e-01, -3.69503525e-02],\n",
              "         [ 1.68022434e+00,  7.72035114e-01, -3.17415914e-02]]),\n",
              "  array([[ 1.12900881e+00,  2.78664677e-02,  4.98996605e-04],\n",
              "         [ 1.13224914e+00,  2.73953460e-02,  2.63709946e-03],\n",
              "         [ 1.08528839e+00,  3.15389354e-02, -3.33192023e-03],\n",
              "         ...,\n",
              "         [ 1.04607623e+00,  7.71624520e-01, -3.80348252e-02],\n",
              "         [ 1.04913453e+00,  7.71618689e-01, -3.79079046e-02],\n",
              "         [ 1.02472631e+00,  7.72046398e-01, -5.09329368e-02]]),\n",
              "  array([[ 0.11391337,  0.04100904, -0.21082091],\n",
              "         [ 0.11794697,  0.04150414, -0.2126573 ],\n",
              "         [ 0.12258808,  0.04224948, -0.21547043],\n",
              "         ...,\n",
              "         [ 1.46554651,  0.64595613,  0.02993133],\n",
              "         [ 1.46896091,  0.64609017,  0.03107336],\n",
              "         [ 1.47237907,  0.64622418,  0.03221543]]),\n",
              "  array([[ 2.81140642e-01,  1.19148524e-03, -1.50672118e-01],\n",
              "         [ 2.84040351e-01,  1.18595601e-03, -1.50551779e-01],\n",
              "         [ 2.86455257e-01,  9.12908808e-04, -1.49449537e-01],\n",
              "         ...,\n",
              "         [ 1.41681920e+00,  7.72152291e-01, -5.76844376e-02],\n",
              "         [ 1.41981142e+00,  7.72146586e-01, -5.75602592e-02],\n",
              "         [ 1.42280365e+00,  7.72140880e-01, -5.74360807e-02]]),\n",
              "  array([[ 1.36014139e+00,  2.38894751e-04, -7.68724870e-02],\n",
              "         [ 1.36288408e+00,  4.96415601e-04, -7.77605436e-02],\n",
              "         [ 1.36605033e+00,  2.27627455e-04, -7.66272639e-02],\n",
              "         ...,\n",
              "         [ 5.76225817e-01,  7.71632606e-01, -6.15336806e-02],\n",
              "         [ 5.79276582e-01,  7.71626789e-01, -6.14070727e-02],\n",
              "         [ 5.82049259e-01,  7.71843483e-01, -6.02920046e-02]]),\n",
              "  array([[ 1.43102470e+00,  3.41012776e-04, -1.07961363e-01],\n",
              "         [ 1.43365225e+00,  6.04445374e-04, -1.08854222e-01],\n",
              "         [ 1.43654065e+00,  5.98937718e-04, -1.08734352e-01],\n",
              "         ...,\n",
              "         [ 2.83714472e-01,  7.71416967e-01, -1.55741095e-01],\n",
              "         [ 2.85638980e-01,  7.71879910e-01, -1.53661438e-01],\n",
              "         [ 2.88054927e-01,  7.72108639e-01, -1.52561221e-01]]),\n",
              "  array([[ 1.45193680e+00,  1.78154363e-04, -2.70234393e-02],\n",
              "         [ 1.45471532e+00,  4.28066941e-04, -2.79099776e-02],\n",
              "         [ 1.45801942e+00,  1.66555876e-04, -2.67710082e-02],\n",
              "         ...,\n",
              "         [ 4.09922367e-01,  7.71876259e-01, -1.47503676e-01],\n",
              "         [ 4.15324851e-01,  7.72099264e-01, -1.46279516e-01],\n",
              "         [ 4.18228371e-01,  7.72093728e-01, -1.46159019e-01]]),\n",
              "  array([[ 1.22120203e+00,  2.14899247e-04, -5.86164299e-02],\n",
              "         [ 1.29019682e+00,  8.33383647e-05, -5.57531198e-02],\n",
              "         [ 1.29303199e+00,  3.36897513e-04, -5.66374420e-02],\n",
              "         ...,\n",
              "         [ 7.33358024e-01,  7.70667698e-01, -2.99881934e-02],\n",
              "         [ 7.36276063e-01,  7.70880330e-01, -2.88670771e-02],\n",
              "         [ 7.38663873e-01,  7.71748443e-01, -2.47681541e-02]]),\n",
              "  array([[ 7.06211793e-01,  8.34548615e-04, -5.49655278e-02],\n",
              "         [ 7.09658308e-01,  1.33833810e-03, -5.68263114e-02],\n",
              "         [ 7.12701480e-01,  1.33253531e-03, -5.67000186e-02],\n",
              "         ...,\n",
              "         [ 1.35289433e+00,  7.72149260e-01, -2.03019911e-02],\n",
              "         [ 1.35576248e+00,  7.71921809e-01, -2.11829627e-02],\n",
              "         [ 1.35902980e+00,  7.72137560e-01, -2.00473665e-02]]),\n",
              "  array([[ 1.32098655e+00,  1.46367595e-04, -6.64863473e-02],\n",
              "         [ 1.32396367e+00,  1.40690738e-04, -6.63627953e-02],\n",
              "         [ 1.32694077e+00,  1.35013938e-04, -6.62392446e-02],\n",
              "         ...,\n",
              "         [ 1.18766970e+00,  7.49411147e-01,  1.09691321e-02],\n",
              "         [ 1.19061779e+00,  7.48999471e-01,  9.09144011e-03],\n",
              "         [ 1.19326556e+00,  7.47979286e-01,  4.20116687e-03]]),\n",
              "  array([[ 1.63282076e+00,  7.34708233e-05, -5.55489712e-02],\n",
              "         [ 1.63876745e+00,  6.21315314e-05, -5.53021812e-02],\n",
              "         [ 1.64174076e+00,  5.64619422e-05, -5.51787874e-02],\n",
              "         ...,\n",
              "         [ 4.41468233e-01,  7.71433327e-01, -1.60205037e-01],\n",
              "         [ 4.43957797e-01,  7.71663793e-01, -1.59101892e-01],\n",
              "         [ 4.46451048e-01,  7.71894252e-01, -1.57998475e-01]]),\n",
              "  array([[ 1.48422892e+00,  2.28175440e-06, -7.17228075e-02],\n",
              "         [ 1.48660133e+00,  5.23258845e-04, -7.36282291e-02],\n",
              "         [ 1.48867309e+00,  1.30758923e-03, -7.65481267e-02],\n",
              "         ...,\n",
              "         [ 2.55048991e-01,  7.58309007e-01, -5.37869361e-02],\n",
              "         [ 2.66670293e-01,  7.60323897e-01, -5.83173821e-02],\n",
              "         [ 2.93043603e-01,  7.60911091e-01, -5.42228790e-02]]),\n",
              "  array([[ 1.51937067e+00,  1.98023307e-04, -7.12662905e-02],\n",
              "         [ 1.44873808e+00,  1.63641128e-04, -6.21864817e-02],\n",
              "         [ 1.45118025e+00,  6.80700329e-04, -6.40889927e-02],\n",
              "         ...,\n",
              "         [ 4.28239526e-01,  7.71713502e-01, -9.56986655e-02],\n",
              "         [ 4.30481243e-01,  7.72160730e-01, -9.36057820e-02],\n",
              "         [ 4.33482907e-01,  7.72155007e-01, -9.34812118e-02]]),\n",
              "  array([[ 1.59081763e+00,  1.08516379e-01,  1.31260773e-03],\n",
              "         [ 1.59321414e+00,  1.08882071e-01, -5.91174203e-04],\n",
              "         [ 1.55231087e+00,  1.10767462e-01,  4.70992846e-03],\n",
              "         ...,\n",
              "         [ 3.47727569e-01,  7.71641288e-01, -1.00039808e-01],\n",
              "         [ 3.50294473e-01,  7.71862130e-01, -9.89334149e-02],\n",
              "         [ 3.52865183e-01,  7.72082994e-01, -9.78267441e-02]]),\n",
              "  array([[1.65260804, 0.04273067, 0.02116228],\n",
              "         [1.6553469 , 0.04294848, 0.02027423],\n",
              "         [1.65808194, 0.04316625, 0.0193859 ],\n",
              "         ...,\n",
              "         [1.42528823, 0.76978001, 0.02975235],\n",
              "         [1.40142188, 0.77126109, 0.020749  ],\n",
              "         [1.40545959, 0.77211849, 0.02491655]]),\n",
              "  array([[ 8.74572872e-01,  3.02744323e-04, -1.16036657e-01],\n",
              "         [ 8.77491474e-01,  2.97179065e-04, -1.15915533e-01],\n",
              "         [ 8.80312229e-01,  2.52350371e-05, -1.14796576e-01],\n",
              "         ...,\n",
              "         [ 1.70337770e+00,  7.47273290e-01,  1.13576922e-02],\n",
              "         [ 1.70647751e+00,  7.47267379e-01,  1.14863354e-02],\n",
              "         [ 1.70875168e+00,  7.46853203e-01,  9.58069140e-03]]),\n",
              "  array([[ 7.86952337e-01,  1.95410650e-04, -6.16214449e-02],\n",
              "         [ 7.90432447e-01,  9.60008729e-04, -6.44828250e-02],\n",
              "         [ 7.93752448e-01,  1.46782432e-03, -6.63488745e-02],\n",
              "         ...,\n",
              "         [ 2.67621854e-01,  7.72014506e-01, -1.41398261e-01],\n",
              "         [ 2.70546098e-01,  7.72008930e-01, -1.41276904e-01],\n",
              "         [ 2.73470343e-01,  7.72003354e-01, -1.41155546e-01]]),\n",
              "  array([[ 0.23414599,  0.00175118, -0.06254611],\n",
              "         [ 0.23770418,  0.0019977 , -0.06340029],\n",
              "         [ 0.24077189,  0.00199185, -0.06327298],\n",
              "         ...,\n",
              "         [ 0.60014653,  0.77092171, -0.03551652],\n",
              "         [ 0.60298343,  0.7711345 , -0.03439877],\n",
              "         [ 0.6050465 ,  0.77200323, -0.03031333]]),\n",
              "  array([[ 1.47861930e+00,  2.41981083e-04, -4.99373615e-02],\n",
              "         [ 1.48161531e+00,  2.36268228e-04, -4.98130261e-02],\n",
              "         [ 1.48375511e+00,  1.00911425e-03, -5.27300530e-02],\n",
              "         ...,\n",
              "         [ 1.44349303e+00,  7.48178653e-01,  2.57240297e-03],\n",
              "         [ 1.44684902e+00,  7.48377189e-01,  3.71174926e-03],\n",
              "         [ 1.45046309e+00,  7.48780136e-01,  5.86175752e-03]]),\n",
              "  array([[ 6.45473480e-01,  1.80099356e-04, -1.76586377e-01],\n",
              "         [ 6.79341279e-01,  1.15519446e-04, -1.75180851e-01],\n",
              "         [ 6.82397369e-01,  3.85704162e-04, -1.76056075e-01],\n",
              "         ...,\n",
              "         [ 1.42381027e+00,  7.36952173e-01,  2.38211703e-02],\n",
              "         [ 1.42671814e+00,  7.36751171e-01,  2.29417377e-02],\n",
              "         [ 1.42986139e+00,  7.36745177e-01,  2.30721838e-02]]),\n",
              "  array([[ 0.20866098,  0.07597087, -0.20102841],\n",
              "         [ 0.21037032,  0.07551405, -0.1989539 ],\n",
              "         [ 0.21263608,  0.07528295, -0.19785802],\n",
              "         ...,\n",
              "         [ 0.2453805 ,  0.74318677, -0.16722401],\n",
              "         [ 0.24722942,  0.74361579, -0.16514735],\n",
              "         [ 0.17210709,  0.7719561 , -0.0522803 ]]),\n",
              "  array([[ 1.73647239e+00,  2.95493061e-04, -9.72890930e-02],\n",
              "         [ 1.73889606e+00,  5.59314423e-04, -9.81904123e-02],\n",
              "         [ 1.74224542e+00,  2.84484903e-04, -9.70495099e-02],\n",
              "         ...,\n",
              "         [ 5.21767545e-01,  7.71725693e-01, -3.57693481e-02],\n",
              "         [ 5.24871134e-01,  7.71719775e-01, -3.56405480e-02],\n",
              "         [ 5.27361961e-01,  7.72151359e-01, -3.35372638e-02]]),\n",
              "  array([[ 2.12342900e-01,  3.81049747e-04, -2.12574533e-01],\n",
              "         [ 2.16789746e-01,  1.21199171e-03, -2.15396074e-01],\n",
              "         [ 2.20123362e-01,  1.48543211e-03, -2.16259796e-01],\n",
              "         ...,\n",
              "         [ 1.49496652e+00,  6.77616145e-01,  1.20050045e-02],\n",
              "         [ 1.50148459e+00,  6.77765080e-01,  1.32757574e-02],\n",
              "         [ 1.50517580e+00,  6.78080769e-01,  1.54293264e-02]]),\n",
              "  array([[ 1.31011605e+00,  2.26121871e-04, -4.39177331e-02],\n",
              "         [ 1.31278474e+00,  7.35209190e-04, -4.58108122e-02],\n",
              "         [ 1.31562369e+00,  9.86854289e-04, -4.66948506e-02],\n",
              "         ...,\n",
              "         [ 1.68982912e+00,  7.70662352e-01, -3.73425443e-02],\n",
              "         [ 1.69408264e+00,  7.71331450e-01, -3.41661845e-02],\n",
              "         [ 1.69793092e+00,  7.71775615e-01, -3.20066277e-02]]),\n",
              "  array([[ 2.28081547e-01,  1.06545934e-03, -1.83899990e-01],\n",
              "         [ 2.32518948e-01,  1.87937249e-03, -1.86721853e-01],\n",
              "         [ 2.35884652e-01,  2.14705949e-03, -1.87584220e-01],\n",
              "         ...,\n",
              "         [ 1.19492512e+00,  7.72169547e-01, -4.18696350e-02],\n",
              "         [ 1.19786123e+00,  7.71940090e-01, -4.27477785e-02],\n",
              "         [ 1.22835870e+00,  7.72105795e-01, -4.04821287e-02]]),\n",
              "  array([[ 1.46361422e+00,  1.35274956e-04, -6.15691162e-02],\n",
              "         [ 1.46658944e+00,  1.29601733e-04, -6.14456434e-02],\n",
              "         [ 1.37697281e+00,  1.76837199e-04, -5.31538662e-02],\n",
              "         ...,\n",
              "         [ 6.73345297e-01,  7.71976518e-01, -9.55383725e-02],\n",
              "         [ 6.76324301e-01,  7.71970838e-01, -9.54147427e-02],\n",
              "         [ 6.79079988e-01,  7.72193227e-01, -9.43004031e-02]]),\n",
              "  array([[ 1.42714574e+00,  3.94170989e-04,  7.97832180e-03],\n",
              "         [ 1.43001299e+00,  6.38191889e-04,  7.09536999e-03],\n",
              "         [ 1.43263262e+00,  1.13220350e-03,  5.20031688e-03],\n",
              "         ...,\n",
              "         [ 3.10105231e-01,  7.53228311e-01, -1.17538911e-01],\n",
              "         [ 3.12156219e-01,  7.53656979e-01, -1.15453864e-01],\n",
              "         [ 3.14214711e-01,  7.54085602e-01, -1.13368507e-01]]),\n",
              "  array([[ 9.22829430e-01,  3.03587849e-04, -1.36053565e-01],\n",
              "         [ 9.25776018e-01,  5.68289640e-04, -1.36933190e-01],\n",
              "         [ 9.28718834e-01,  8.32998143e-04, -1.37813092e-01],\n",
              "         ...,\n",
              "         [ 3.88354681e-01,  7.70234755e-01, -4.93058079e-02],\n",
              "         [ 3.88312497e-01,  7.71980168e-01, -4.13077833e-02],\n",
              "         [ 3.84566106e-01,  7.72019199e-01, -5.54754953e-02]]),\n",
              "  array([[ 1.87089091e-01,  2.24207613e-04, -2.32638294e-01],\n",
              "         [ 1.86515536e-01,  2.70419837e-03, -2.31671396e-01],\n",
              "         [ 1.88692505e-01,  2.41837225e-03, -2.30579094e-01],\n",
              "         ...,\n",
              "         [ 3.26320793e-01,  7.70361885e-01, -1.19939320e-01],\n",
              "         [ 3.27489090e-01,  7.71270172e-01, -1.15891164e-01],\n",
              "         [ 3.29564657e-01,  7.71721502e-01, -1.13805072e-01]]),\n",
              "  array([[ 0.43717721,  0.03546219, -0.05526155],\n",
              "         [ 0.44060893,  0.03568809, -0.05612101],\n",
              "         [ 0.44331269,  0.03545049, -0.05500693],\n",
              "         ...,\n",
              "         [ 1.4909564 ,  0.77122992, -0.00356018],\n",
              "         [ 1.4605288 ,  0.77216597, -0.01483524],\n",
              "         [ 1.46359845,  0.77216012, -0.01470785]]),\n",
              "  array([[ 8.40108415e-01,  2.34330962e-05, -1.89528112e-01],\n",
              "         [ 8.43019173e-01,  2.97679805e-04, -1.90409383e-01],\n",
              "         [ 8.45799954e-01,  2.92377348e-04, -1.90293980e-01],\n",
              "         ...,\n",
              "         [ 1.42554723e+00,  7.71908005e-01, -5.83220795e-02],\n",
              "         [ 1.42853754e+00,  7.71902303e-01, -5.81979801e-02],\n",
              "         [ 1.43152789e+00,  7.71896601e-01, -5.80738795e-02]]),\n",
              "  array([[ 5.15821599e-01,  9.55110082e-06, -1.04898448e-01],\n",
              "         [ 5.19441802e-01,  5.28148876e-04, -1.06752086e-01],\n",
              "         [ 5.22730058e-01,  7.84659227e-04, -1.07617501e-01],\n",
              "         ...,\n",
              "         [ 6.62420215e-01,  7.70609114e-01, -4.79443601e-02],\n",
              "         [ 6.64363855e-01,  7.71705748e-01, -4.28638929e-02],\n",
              "         [ 6.66996273e-01,  7.72140847e-01, -4.07546289e-02]]),\n",
              "  array([[ 1.06395622,  0.11639218,  0.0104463 ],\n",
              "         [ 1.06709946,  0.11638619,  0.01057674],\n",
              "         [ 1.07019636,  0.11673543,  0.00870209],\n",
              "         ...,\n",
              "         [ 1.36513254,  0.77184499, -0.03480596],\n",
              "         [ 1.36838099,  0.77206263, -0.03367128],\n",
              "         [ 1.37142229,  0.77205683, -0.03354506]]),\n",
              "  array([[ 1.50713898e+00,  1.71203306e-04, -8.27832993e-02],\n",
              "         [ 1.51007079e+00,  1.65612866e-04, -8.26616282e-02],\n",
              "         [ 1.51300265e+00,  1.60022313e-04, -8.25399546e-02],\n",
              "         ...,\n",
              "         [ 5.86206565e-01,  7.70947720e-01, -6.41193596e-02],\n",
              "         [ 5.88977367e-01,  7.71164388e-01, -6.30043692e-02],\n",
              "         [ 5.90934758e-01,  7.72048491e-01, -5.89233713e-02]]),\n",
              "  array([[ 1.20450509e+00,  1.70445335e-04, -4.72986531e-02],\n",
              "         [ 1.20741767e+00,  4.21949529e-04, -4.81797546e-02],\n",
              "         [ 1.21043822e+00,  4.16189889e-04, -4.80544010e-02],\n",
              "         ...,\n",
              "         [ 1.54634631e+00,  6.76784253e-01,  2.91534487e-02],\n",
              "         [ 1.54949144e+00,  6.76778256e-01,  2.92839727e-02],\n",
              "         [ 1.55263657e+00,  6.76772258e-01,  2.94144966e-02]]),\n",
              "  array([[ 0.85424521,  0.03965712, -0.21312577],\n",
              "         [ 0.85650069,  0.0386245 , -0.20902439],\n",
              "         [ 0.85948277,  0.03913296, -0.21090458],\n",
              "         ...,\n",
              "         [ 1.7143308 ,  0.77084137, -0.03532585],\n",
              "         [ 1.71820165,  0.77128546, -0.03316524],\n",
              "         [ 1.72294367,  0.77217939, -0.02896874]]),\n",
              "  array([[ 3.01822238e-01,  2.31657214e-04, -2.47895116e-01],\n",
              "         [ 3.05042599e-01,  5.12883306e-04, -2.48763570e-01],\n",
              "         [ 3.07755370e-01,  5.07710532e-04, -2.48650989e-01],\n",
              "         ...,\n",
              "         [ 1.84511931e+00,  7.60832901e-01,  9.17606294e-03],\n",
              "         [ 1.84970316e+00,  7.61467336e-01,  1.23662718e-02],\n",
              "         [ 1.83719932e+00,  7.65888335e-01,  1.78344931e-02]]),\n",
              "  array([[ 1.0928933 ,  0.1806113 ,  0.02539455],\n",
              "         [ 1.09598627,  0.18088098,  0.02351994],\n",
              "         [ 1.09911194,  0.18101281,  0.02264829],\n",
              "         ...,\n",
              "         [ 1.37967997,  0.77114571, -0.0372021 ],\n",
              "         [ 1.3827137 ,  0.77113992, -0.0370762 ],\n",
              "         [ 1.38640848,  0.77180442, -0.033923  ]]),\n",
              "  array([[ 3.29902838e-01,  2.75162871e-04, -1.34632852e-01],\n",
              "         [ 3.32828988e-01,  2.69583220e-04, -1.34511416e-01],\n",
              "         [ 3.35755139e-01,  2.64003568e-04, -1.34389979e-01],\n",
              "         ...,\n",
              "         [ 1.28804025e+00,  6.80147341e-01,  3.64374669e-02],\n",
              "         [ 1.29121935e+00,  6.80141279e-01,  3.65694008e-02],\n",
              "         [ 1.29439848e+00,  6.80135217e-01,  3.67013360e-02]]),\n",
              "  array([[ 2.30930749e-01,  7.30420227e-04, -1.39742245e-01],\n",
              "         [ 2.34885151e-01,  1.25595049e-03, -1.41582045e-01],\n",
              "         [ 2.38318784e-01,  1.51596850e-03, -1.42441443e-01],\n",
              "         ...,\n",
              "         [ 5.41234438e-01,  7.72175280e-01, -8.80094969e-02],\n",
              "         [ 5.44544345e-01,  7.71943232e-01, -8.88721199e-02],\n",
              "         [ 5.47241547e-01,  7.72163825e-01, -8.77601995e-02]]),\n",
              "  array([[ 0.22151391,  0.10739562, -0.06850995],\n",
              "         [ 0.20876545,  0.11142425, -0.07405985],\n",
              "         [ 0.21232351,  0.11160449, -0.07491376],\n",
              "         ...,\n",
              "         [ 0.63113924,  0.7715279 , -0.05925475],\n",
              "         [ 0.63394404,  0.77174453, -0.05813835],\n",
              "         [ 0.63675258,  0.77196112, -0.05702191]]),\n",
              "  array([[ 0.43734926,  0.00389662, -0.06413222],\n",
              "         [ 0.43356558,  0.00646082, -0.06229807],\n",
              "         [ 0.43956218,  0.00846059, -0.07006434],\n",
              "         ...,\n",
              "         [ 1.32884399,  0.77213802, -0.03531208],\n",
              "         [ 1.34405053,  0.77210902, -0.034681  ],\n",
              "         [ 0.48150944,  0.77206343, -0.09148809]]),\n",
              "  array([[ 4.71662838e-01,  3.56504732e-04, -1.07732932e-01],\n",
              "         [ 4.75337770e-01,  8.75027949e-04, -1.09584299e-01],\n",
              "         [ 4.77947135e-01,  6.07271878e-04, -1.08474130e-01],\n",
              "         ...,\n",
              "         [ 1.42522919e+00,  7.72121380e-01, -8.33579737e-02],\n",
              "         [ 1.32544962e+00,  7.71997019e-01, -1.01509671e-01],\n",
              "         [ 1.34315135e+00,  7.72196601e-01, -9.97750884e-02]]),\n",
              "  array([[ 1.49750110e+00,  2.14254017e-04, -1.05202568e-01],\n",
              "         [ 1.50039140e+00,  2.08742727e-04, -1.05082619e-01],\n",
              "         [ 1.50266563e+00,  7.41321245e-04, -1.06992162e-01],\n",
              "         ...,\n",
              "         [ 1.71691204e+00,  7.70610709e-01, -3.62185926e-02],\n",
              "         [ 1.71992121e+00,  7.70604972e-01, -3.60937110e-02],\n",
              "         [ 1.72293044e+00,  7.70599233e-01, -3.59688270e-02]]),\n",
              "  array([[ 4.59435636e-01,  1.17069175e-04, -1.07238487e-01],\n",
              "         [ 4.62403354e-01,  1.11410261e-04, -1.07115325e-01],\n",
              "         [ 4.66091477e-01,  6.29878523e-04, -1.08966144e-01],\n",
              "         ...,\n",
              "         [ 1.54286574e+00,  7.70386821e-01, -3.24298140e-02],\n",
              "         [ 1.54653648e+00,  7.70827540e-01, -3.02774904e-02],\n",
              "         [ 1.55118168e+00,  7.71937917e-01, -2.50849854e-02]])],\n",
              " 'pmat_corners': [array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]]), array([[ 95.59745821, 144.42176218],\n",
              "         [344.36816704, 147.08319501],\n",
              "         [ 97.5467686 , 751.36556467],\n",
              "         [344.36816508, 753.12394219]])],\n",
              " 'pose_type': ['rollpi',\n",
              "  'rollpi_plo',\n",
              "  'sl',\n",
              "  'phu',\n",
              "  'sl',\n",
              "  'hbh',\n",
              "  'rollpi_plo',\n",
              "  'rollpi',\n",
              "  'sl',\n",
              "  'rollpi_plo',\n",
              "  'rollpi_plo',\n",
              "  'supine',\n",
              "  'rollpi_plo',\n",
              "  'phu',\n",
              "  'supine_plo',\n",
              "  'sl',\n",
              "  'rollpi',\n",
              "  'phu',\n",
              "  'rollpi_plo',\n",
              "  'rollpi',\n",
              "  'hbh',\n",
              "  'phu',\n",
              "  'xl',\n",
              "  'supine_plo',\n",
              "  'hbh',\n",
              "  'rollpi_plo',\n",
              "  'supine',\n",
              "  'rollpi',\n",
              "  'supine',\n",
              "  'rollpi',\n",
              "  'rollpi_plo',\n",
              "  'supine_plo',\n",
              "  'rollpi_plo',\n",
              "  'xl',\n",
              "  'rollpi',\n",
              "  'rollpi',\n",
              "  'rollpi',\n",
              "  'xl',\n",
              "  'supine_plo',\n",
              "  'xl',\n",
              "  'rollpi',\n",
              "  'hbh',\n",
              "  'rollpi',\n",
              "  'rollpi_plo',\n",
              "  'rollpi_plo',\n",
              "  'rollpi_plo',\n",
              "  'supine',\n",
              "  'rollpi']}"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "load_pickle(\"/data_BR/real/S103/prescribed.p\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "paFQRRYevBrr",
        "outputId": "e2287c50-8609-4b88-f1b0-46cd1f25ff53"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content/bodies-at-rest/PressurePose\n"
          ]
        }
      ],
      "source": [
        "%cd /content/bodies-at-rest/PressurePose"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os, sys\n",
        "import pickle\n",
        "\n",
        "path = \"/data_BR/real/\"\n",
        "dirs = os.listdir(path)\n",
        "Pose = []\n",
        "for file in dirs:\n",
        "  with open(f'/data_BR/real/{file}/prescribed.p', 'rb') as f:\n",
        "    data1 = pickle.load(f, encoding='latin1')\n",
        "    Pose.extend(data1['RGB'])\n",
        "  with open(f'/data_BR/real/{file}/p_select.p', 'rb') as f:\n",
        "    data2 = pickle.load(f, encoding='latin1')\n",
        "    Pose.extend(data2['RGB'])\n",
        "    "
      ],
      "metadata": {
        "id": "B0VHnJi9CEr2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i in range(0,1051):\n",
        "  Fig = im.fromarray(Pose[i])\n",
        "  b, g, r = Fig.split()\n",
        "  Fig = Image.merge(\"RGB\", (r, g, b))\n",
        "  Fig.save(f'/content/dataset/{i}.png')"
      ],
      "metadata": {
        "id": "lYxSyCDRCEdM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/PeikeLi/Self-Correction-Human-Parsing.git\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BYPmwkiTCD-k",
        "outputId": "8b96f007-b2eb-4c41-e2bd-d65f5482212c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "fatal: destination path 'Self-Correction-Human-Parsing' already exists and is not an empty directory.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install ninja"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "apYQDgwA4qcc",
        "outputId": "90cf1d21-f6ed-442f-a95b-87674fde7980"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting ninja\n",
            "  Downloading ninja-1.10.2.3-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)\n",
            "\u001b[?25l\r\u001b[K     |███                             | 10 kB 22.2 MB/s eta 0:00:01\r\u001b[K     |██████                          | 20 kB 18.0 MB/s eta 0:00:01\r\u001b[K     |█████████                       | 30 kB 10.2 MB/s eta 0:00:01\r\u001b[K     |████████████▏                   | 40 kB 8.2 MB/s eta 0:00:01\r\u001b[K     |███████████████▏                | 51 kB 4.0 MB/s eta 0:00:01\r\u001b[K     |██████████████████▏             | 61 kB 4.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▏          | 71 kB 5.3 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▎       | 81 kB 4.9 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▎    | 92 kB 5.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▎ | 102 kB 5.3 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 108 kB 5.3 MB/s \n",
            "\u001b[?25hInstalling collected packages: ninja\n",
            "Successfully installed ninja-1.10.2.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir input\n",
        "!mkdir segment_output\n",
        "!mkdir weight"
      ],
      "metadata": {
        "id": "pxLIYut309w_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from PIL import Image\n",
        "from PIL import ImageEnhance\n",
        "import cv2\n",
        "for i in range(0,1051):\n",
        "  img = Image.open(f'/content/drive/MyDrive/Self-Correction-Human-Parsing/input/dataset/{i}.png')\n",
        "  img.show()\n",
        "  enhancer = ImageEnhance.Contrast(img)\n",
        "  enhancer.enhance(3).save(f'/content/drive/MyDrive/Self-Correction-Human-Parsing/input/dataset_color/{i}.png')\n",
        "  "
      ],
      "metadata": {
        "id": "v5vym-E5GldD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!python '/content/drive/MyDrive/Self-Correction-Human-Parsing/simple_extractor.py' --dataset 'pascal' --model-restore '/content/drive/MyDrive/Self-Correction-Human-Parsing/weight/exp-schp-201908270938-pascal-person-part.pth' --input-dir '/content/drive/MyDrive/Self-Correction-Human-Parsing/input/dataset/' --output-dir '/content/drive/MyDrive/Self-Correction-Human-Parsing/segment_output'"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mKIzdOTr0cZe",
        "outputId": "f6c23073-656c-49c0-f700-919b5f908d35"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Evaluating total class number 7 with ['Background', 'Head', 'Torso', 'Upper Arms', 'Lower Arms', 'Upper Legs', 'Lower Legs']\n",
            " 94% 993/1058 [08:22<00:32,  1.98it/s]\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/drive/MyDrive/Self-Correction-Human-Parsing/simple_extractor.py\", line 155, in <module>\n",
            "    main()\n",
            "  File \"/content/drive/MyDrive/Self-Correction-Human-Parsing/simple_extractor.py\", line 128, in main\n",
            "    for idx, batch in enumerate(tqdm(dataloader)):\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/tqdm/std.py\", line 1195, in __iter__\n",
            "    for obj in iterable:\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 521, in __next__\n",
            "    data = self._next_data()\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py\", line 561, in _next_data\n",
            "    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py\", line 49, in fetch\n",
            "    data = [self.dataset[idx] for idx in possibly_batched_index]\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py\", line 49, in <listcomp>\n",
            "    data = [self.dataset[idx] for idx in possibly_batched_index]\n",
            "  File \"/content/drive/.shortcut-targets-by-id/191Z1juE31YmSC1Ank_Z9ILJFZ26MttFV/Self-Correction-Human-Parsing/datasets/simple_extractor_dataset.py\", line 54, in __getitem__\n",
            "    h, w, _ = img.shape\n",
            "AttributeError: 'NoneType' object has no attribute 'shape'\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "NyEYxsL4Zahj"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import cv2\n",
        "path = \"/content/drive/MyDrive/Self-Correction-Human-Parsing/segment_output\"\n",
        "files = os.listdir(path)\n",
        "traininfo =  open('/content/drive/MyDrive/Self-Correction-Human-Parsing/datasets/dataset/train_id.txt', 'w')\n",
        "valinfo= open('/content/drive/MyDrive/Self-Correction-Human-Parsing/datasets/dataset/val_id.txt', 'w')\n",
        "for i, im in enumerate(files):\n",
        "  img = cv2.imread(os.path.join(path,im))\n",
        "  img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
        "  img_gray[img_gray > 0] = 255\n",
        "  img_gray[img_gray == 0] = 0\n",
        "  _, tail = os.path.split(im)\n",
        "  name = tail.split('.')[0]\n",
        "  if i < 800:\n",
        "    cv2.imwrite(f\"/content/drive/MyDrive/Self-Correction-Human-Parsing/datasets/dataset/train_img/{name}.jpg\", img_gray)\n",
        "    traininfo.write(f\"{name}\")\n",
        "    traininfo.write('\\n')\n",
        "  else:\n",
        "    cv2.imwrite(f\"/content/drive/MyDrive/Self-Correction-Human-Parsing/datasets/dataset/val_img/{name}.jpg\", img_gray)\n",
        "    valinfo.write(f\"{name}\")\n",
        "    valinfo.write('\\n')  \n",
        "traininfo.close()\n",
        "valinfo.close()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i, im in enumerate(files):\n",
        "  img_rgb = cv2.imread(os.path.join(path, im))\n",
        "  img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)\n",
        "  img_gray[img_gray == 0] = 0\n",
        "  img_gray[img_gray == 15] = 1\n",
        "  img_gray[img_gray == 38] = 2\n",
        "  img_gray[img_gray == 53] = 3\n",
        "  img_gray[img_gray == 75] = 4\n",
        "  img_gray[img_gray == 90] = 5\n",
        "  img_gray[img_gray == 113] = 6\n",
        "  _, tail = os.path.split(im)\n",
        "  name = tail.split('.')[0]\n",
        "  if i < 800:\n",
        "    cv2.imwrite(f\"/content/drive/MyDrive/Self-Correction-Human-Parsing/datasets/dataset/train_segment/{name}.png\", img_gray)\n",
        "  else:\n",
        "    cv2.imwrite(f\"/content/drive/MyDrive/Self-Correction-Human-Parsing/datasets/dataset/val_segment/{name}.png\", img_gray)"
      ],
      "metadata": {
        "id": "Ldah2yqATL2T"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import cv2\n",
        "\n",
        "fig = plt.figure(figsize=(10, 10))\n",
        "\n",
        "img = cv2.imread(\"/content/drive/MyDrive/Self-Correction-Human-Parsing/input/dataset/167.png\")\n",
        "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
        "plt.subplot(141) \n",
        "plt.imshow(img)\n",
        "\n",
        "img1 = cv2.imread(\"/content/drive/MyDrive/Self-Correction-Human-Parsing/segment_output/167.png\")\n",
        "plt.subplot(142) \n",
        "plt.imshow(img1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "3vxqTBKzNX1Z",
        "outputId": "44d1bb83-0826-4787-e366-66404508ce14"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f6303429550>"
            ]
          },
          "metadata": {},
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python train.py --data-dir '/content/drive/MyDrive/Self-Correction-Human-Parsing/datasets/dataset'  --batch-size 3 --imagenet-pretrain '/content/drive/MyDrive/Self-Correction-Human-Parsing/weight/pretrain/pretrainrcrhzmamtmp' --num-classes 7 --epoch 10"
      ],
      "metadata": {
        "id": "_PDCJtil5MQV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "36337d95-9dbf-4b3f-a639-60e60d38d50e"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mzeinabmostafavi\u001b[0m (use `wandb login --relogin` to force relogin)\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Tracking run with wandb version 0.12.11\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run data is saved locally in \u001b[35m\u001b[1m/content/drive/.shortcut-targets-by-id/191Z1juE31YmSC1Ank_Z9ILJFZ26MttFV/Self-Correction-Human-Parsing/wandb/run-20220314_175836-fvr3futw\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run \u001b[1m`wandb offline`\u001b[0m to turn off syncing.\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Syncing run \u001b[33mberry-cobbler-5\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: ⭐️ View project at \u001b[34m\u001b[4mhttps://wandb.ai/zeinabmostafavi/Human-Parsing-on-Binary-Images\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: 🚀 View run at \u001b[34m\u001b[4mhttps://wandb.ai/zeinabmostafavi/Human-Parsing-on-Binary-Images/runs/fvr3futw\u001b[0m\n",
            "Namespace(arch='resnet101', batch_size=3, cycle_epochs=10, data_dir='/content/drive/MyDrive/Self-Correction-Human-Parsing/datasets/dataset', epochs=10, eval_epochs=10, gpu='0,1,2', ignore_label=255, imagenet_pretrain='/content/drive/MyDrive/Self-Correction-Human-Parsing/weight/pretrain/pretrainrcrhzmamtmp', input_size='473,473', lambda_c=0.1, lambda_e=1, lambda_s=1, learning_rate=0.007, log_dir='./log', model_restore='./log/checkpoint.pth.tar', momentum=0.9, num_classes=7, random_mirror=False, random_scale=False, schp_restore='./log/schp_checkpoint.pth.tar', schp_start=100, start_epoch=0, weight_decay=0.0005)\n",
            "image mean: [0.406, 0.456, 0.485]\n",
            "image std: [0.225, 0.224, 0.229]\n",
            "input space:BGR\n",
            "BGR Transformation\n",
            "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py:481: UserWarning: This DataLoader will create 16 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  cpuset_checked))\n",
            "Total training samples: 800\n",
            "/usr/local/lib/python3.7/dist-packages/torch/optim/lr_scheduler.py:134: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate\n",
            "  \"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate\", UserWarning)\n",
            "/usr/local/lib/python3.7/dist-packages/torch/optim/lr_scheduler.py:154: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.\n",
            "  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)\n",
            "iter = 0 of 880 completed, lr = 7.000000000000001e-05, loss = 3.2825801372528076\n",
            "epoch = 0 of 10 completed using 304.5915171550005 s\n",
            "iter = 100 of 880 completed, lr = 0.000763, loss = 1.785206913948059\n",
            "epoch = 1 of 10 completed using 297.32002180149993 s\n",
            "iter = 200 of 880 completed, lr = 0.001456, loss = 1.072947382926941\n",
            "epoch = 2 of 10 completed using 294.8287732176668 s\n",
            "iter = 300 of 880 completed, lr = 0.0021490000000000003, loss = 0.6553118824958801\n",
            "epoch = 3 of 10 completed using 293.59708973025 s\n",
            "iter = 400 of 880 completed, lr = 0.0028420000000000003, loss = 0.6018478870391846\n",
            "epoch = 4 of 10 completed using 292.8697281624001 s\n",
            "iter = 500 of 880 completed, lr = 0.0035350000000000004, loss = 0.45083245635032654\n",
            "epoch = 5 of 10 completed using 292.3761866103335 s\n",
            "iter = 600 of 880 completed, lr = 0.004228, loss = 0.7420544624328613\n",
            "epoch = 6 of 10 completed using 292.05480256928575 s\n",
            "iter = 700 of 880 completed, lr = 0.004921, loss = 0.4580806493759155\n",
            "epoch = 7 of 10 completed using 291.7612960802501 s\n",
            "epoch = 8 of 10 completed using 291.583069220889 s\n",
            "iter = 800 of 880 completed, lr = 0.006307, loss = 0.4092472195625305\n",
            "epoch = 9 of 10 completed using 291.5625640730001 s\n",
            "Training Finished in 2915.625703193 seconds\n",
            "\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Waiting for W&B process to finish... \u001b[32m(success).\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                                                                                \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run history:\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: loss █▇▆▆▄▄▃▃▂▂▂▂▁▂▂▂▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run summary:\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: loss 0.61004\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Synced \u001b[33mberry-cobbler-5\u001b[0m: \u001b[34m\u001b[4mhttps://wandb.ai/zeinabmostafavi/Human-Parsing-on-Binary-Images/runs/fvr3futw\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Find logs at: \u001b[35m\u001b[1m./wandb/run-20220314_175836-fvr3futw/logs\u001b[0m\n"
          ]
        }
      ]
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      "metadata": {
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      "outputs": []
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        "id": "v-urQNKu5MG1"
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      "execution_count": null,
      "metadata": {
        "id": "FBNeUBJ2WV1b"
      },
      "outputs": [],
      "source": [
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