├── LICENSE
└── Completion.ipynb


/LICENSE:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
/Completion.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |   "nbformat": 4,
   3 |   "nbformat_minor": 0,
   4 |   "metadata": {
   5 |     "colab": {
   6 |       "provenance": [],
   7 |       "gpuType": "T4"
   8 |     },
   9 |     "kernelspec": {
  10 |       "name": "python3",
  11 |       "display_name": "Python 3"
  12 |     },
  13 |     "language_info": {
  14 |       "name": "python"
  15 |     },
  16 |     "accelerator": "GPU"
  17 |   },
  18 |   "cells": [
  19 |     {
  20 |       "cell_type": "code",
  21 |       "execution_count": null,
  22 |       "metadata": {
  23 |         "colab": {
  24 |           "base_uri": "https://localhost:8080/"
  25 |         },
  26 |         "id": "l7s9A7B6zcWt",
  27 |         "outputId": "aca26d7d-8b3e-4408-c0ea-c315123d7551"
  28 |       },
  29 |       "outputs": [
  30 |         {
  31 |           "output_type": "stream",
  32 |           "name": "stdout",
  33 |           "text": [
  34 |             "Requirement already satisfied: tensorflow in /usr/local/lib/python3.10/dist-packages (2.17.0)\n",
  35 |             "Requirement already satisfied: opencv-python-headless in /usr/local/lib/python3.10/dist-packages (4.10.0.84)\n",
  36 |             "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (3.7.1)\n",
  37 |             "Requirement already satisfied: absl-py>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.4.0)\n",
  38 |             "Requirement already satisfied: astunparse>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.6.3)\n",
  39 |             "Requirement already satisfied: flatbuffers>=24.3.25 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (24.3.25)\n",
  40 |             "Requirement already satisfied: gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (0.6.0)\n",
  41 |             "Requirement already satisfied: google-pasta>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (0.2.0)\n",
  42 |             "Requirement already satisfied: h5py>=3.10.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (3.11.0)\n",
  43 |             "Requirement already satisfied: libclang>=13.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (18.1.1)\n",
  44 |             "Requirement already satisfied: ml-dtypes<0.5.0,>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (0.4.0)\n",
  45 |             "Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (3.3.0)\n",
  46 |             "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from tensorflow) (24.1)\n",
  47 |             "Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (3.20.3)\n",
  48 |             "Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (2.32.3)\n",
  49 |             "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from tensorflow) (71.0.4)\n",
  50 |             "Requirement already satisfied: six>=1.12.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.16.0)\n",
  51 |             "Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (2.4.0)\n",
  52 |             "Requirement already satisfied: typing-extensions>=3.6.6 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (4.12.2)\n",
  53 |             "Requirement already satisfied: wrapt>=1.11.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.16.0)\n",
  54 |             "Requirement already satisfied: grpcio<2.0,>=1.24.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.64.1)\n",
  55 |             "Requirement already satisfied: tensorboard<2.18,>=2.17 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (2.17.0)\n",
  56 |             "Requirement already satisfied: keras>=3.2.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (3.4.1)\n",
  57 |             "Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (0.37.1)\n",
  58 |             "Requirement already satisfied: numpy<2.0.0,>=1.23.5 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.26.4)\n",
  59 |             "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.2.1)\n",
  60 |             "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (0.12.1)\n",
  61 |             "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (4.53.1)\n",
  62 |             "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.4.5)\n",
  63 |             "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (9.4.0)\n",
  64 |             "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (3.1.2)\n",
  65 |             "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (2.8.2)\n",
  66 |             "Requirement already satisfied: wheel<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from astunparse>=1.6.0->tensorflow) (0.44.0)\n",
  67 |             "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from keras>=3.2.0->tensorflow) (13.7.1)\n",
  68 |             "Requirement already satisfied: namex in /usr/local/lib/python3.10/dist-packages (from keras>=3.2.0->tensorflow) (0.0.8)\n",
  69 |             "Requirement already satisfied: optree in /usr/local/lib/python3.10/dist-packages (from keras>=3.2.0->tensorflow) (0.12.1)\n",
  70 |             "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorflow) (3.3.2)\n",
  71 |             "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorflow) (3.7)\n",
  72 |             "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorflow) (2.0.7)\n",
  73 |             "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorflow) (2024.7.4)\n",
  74 |             "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.18,>=2.17->tensorflow) (3.6)\n",
  75 |             "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.18,>=2.17->tensorflow) (0.7.2)\n",
  76 |             "Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.18,>=2.17->tensorflow) (3.0.3)\n",
  77 |             "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from werkzeug>=1.0.1->tensorboard<2.18,>=2.17->tensorflow) (2.1.5)\n",
  78 |             "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras>=3.2.0->tensorflow) (3.0.0)\n",
  79 |             "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras>=3.2.0->tensorflow) (2.16.1)\n",
  80 |             "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->keras>=3.2.0->tensorflow) (0.1.2)\n"
  81 |           ]
  82 |         }
  83 |       ],
  84 |       "source": [
  85 |         "!pip install tensorflow opencv-python-headless matplotlib\n"
  86 |       ]
  87 |     },
  88 |     {
  89 |       "cell_type": "code",
  90 |       "source": [
  91 |         "from google.colab import files\n",
  92 |         "files.upload()  # Upload kaggle.json\n",
  93 |         "\n",
  94 |         "!mkdir -p ~/.kaggle\n",
  95 |         "!cp kaggle.json ~/.kaggle/\n",
  96 |         "!chmod 600 ~/.kaggle/kaggle.json\n",
  97 |         "\n",
  98 |         "# Download the dataset\n",
  99 |         "!kaggle datasets download -d google/tinyquickdraw\n",
 100 |         "!unzip tinyquickdraw.zip -d quickdraw_data\n"
 101 |       ],
 102 |       "metadata": {
 103 |         "colab": {
 104 |           "base_uri": "https://localhost:8080/",
 105 |           "height": 1000
 106 |         },
 107 |         "id": "juRiI8kIzfn0",
 108 |         "outputId": "907553b0-0610-4167-f513-09cbb1949bba"
 109 |       },
 110 |       "execution_count": null,
 111 |       "outputs": [
 112 |         {
 113 |           "output_type": "display_data",
 114 |           "data": {
 115 |             "text/plain": [
 116 |               "<IPython.core.display.HTML object>"
 117 |             ],
 118 |             "text/html": [
 119 |               "\n",
 120 |               "     <input type=\"file\" id=\"files-3f6b5620-326e-4fad-af8c-6edd4cda206c\" name=\"files[]\" multiple disabled\n",
 121 |               "        style=\"border:none\" />\n",
 122 |               "     <output id=\"result-3f6b5620-326e-4fad-af8c-6edd4cda206c\">\n",
 123 |               "      Upload widget is only available when the cell has been executed in the\n",
 124 |               "      current browser session. Please rerun this cell to enable.\n",
 125 |               "      </output>\n",
 126 |               "      <script>// Copyright 2017 Google LLC\n",
 127 |               "//\n",
 128 |               "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
 129 |               "// you may not use this file except in compliance with the License.\n",
 130 |               "// You may obtain a copy of the License at\n",
 131 |               "//\n",
 132 |               "//      http://www.apache.org/licenses/LICENSE-2.0\n",
 133 |               "//\n",
 134 |               "// Unless required by applicable law or agreed to in writing, software\n",
 135 |               "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
 136 |               "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
 137 |               "// See the License for the specific language governing permissions and\n",
 138 |               "// limitations under the License.\n",
 139 |               "\n",
 140 |               "/**\n",
 141 |               " * @fileoverview Helpers for google.colab Python module.\n",
 142 |               " */\n",
 143 |               "(function(scope) {\n",
 144 |               "function span(text, styleAttributes = {}) {\n",
 145 |               "  const element = document.createElement('span');\n",
 146 |               "  element.textContent = text;\n",
 147 |               "  for (const key of Object.keys(styleAttributes)) {\n",
 148 |               "    element.style[key] = styleAttributes[key];\n",
 149 |               "  }\n",
 150 |               "  return element;\n",
 151 |               "}\n",
 152 |               "\n",
 153 |               "// Max number of bytes which will be uploaded at a time.\n",
 154 |               "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
 155 |               "\n",
 156 |               "function _uploadFiles(inputId, outputId) {\n",
 157 |               "  const steps = uploadFilesStep(inputId, outputId);\n",
 158 |               "  const outputElement = document.getElementById(outputId);\n",
 159 |               "  // Cache steps on the outputElement to make it available for the next call\n",
 160 |               "  // to uploadFilesContinue from Python.\n",
 161 |               "  outputElement.steps = steps;\n",
 162 |               "\n",
 163 |               "  return _uploadFilesContinue(outputId);\n",
 164 |               "}\n",
 165 |               "\n",
 166 |               "// This is roughly an async generator (not supported in the browser yet),\n",
 167 |               "// where there are multiple asynchronous steps and the Python side is going\n",
 168 |               "// to poll for completion of each step.\n",
 169 |               "// This uses a Promise to block the python side on completion of each step,\n",
 170 |               "// then passes the result of the previous step as the input to the next step.\n",
 171 |               "function _uploadFilesContinue(outputId) {\n",
 172 |               "  const outputElement = document.getElementById(outputId);\n",
 173 |               "  const steps = outputElement.steps;\n",
 174 |               "\n",
 175 |               "  const next = steps.next(outputElement.lastPromiseValue);\n",
 176 |               "  return Promise.resolve(next.value.promise).then((value) => {\n",
 177 |               "    // Cache the last promise value to make it available to the next\n",
 178 |               "    // step of the generator.\n",
 179 |               "    outputElement.lastPromiseValue = value;\n",
 180 |               "    return next.value.response;\n",
 181 |               "  });\n",
 182 |               "}\n",
 183 |               "\n",
 184 |               "/**\n",
 185 |               " * Generator function which is called between each async step of the upload\n",
 186 |               " * process.\n",
 187 |               " * @param {string} inputId Element ID of the input file picker element.\n",
 188 |               " * @param {string} outputId Element ID of the output display.\n",
 189 |               " * @return {!Iterable<!Object>} Iterable of next steps.\n",
 190 |               " */\n",
 191 |               "function* uploadFilesStep(inputId, outputId) {\n",
 192 |               "  const inputElement = document.getElementById(inputId);\n",
 193 |               "  inputElement.disabled = false;\n",
 194 |               "\n",
 195 |               "  const outputElement = document.getElementById(outputId);\n",
 196 |               "  outputElement.innerHTML = '';\n",
 197 |               "\n",
 198 |               "  const pickedPromise = new Promise((resolve) => {\n",
 199 |               "    inputElement.addEventListener('change', (e) => {\n",
 200 |               "      resolve(e.target.files);\n",
 201 |               "    });\n",
 202 |               "  });\n",
 203 |               "\n",
 204 |               "  const cancel = document.createElement('button');\n",
 205 |               "  inputElement.parentElement.appendChild(cancel);\n",
 206 |               "  cancel.textContent = 'Cancel upload';\n",
 207 |               "  const cancelPromise = new Promise((resolve) => {\n",
 208 |               "    cancel.onclick = () => {\n",
 209 |               "      resolve(null);\n",
 210 |               "    };\n",
 211 |               "  });\n",
 212 |               "\n",
 213 |               "  // Wait for the user to pick the files.\n",
 214 |               "  const files = yield {\n",
 215 |               "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
 216 |               "    response: {\n",
 217 |               "      action: 'starting',\n",
 218 |               "    }\n",
 219 |               "  };\n",
 220 |               "\n",
 221 |               "  cancel.remove();\n",
 222 |               "\n",
 223 |               "  // Disable the input element since further picks are not allowed.\n",
 224 |               "  inputElement.disabled = true;\n",
 225 |               "\n",
 226 |               "  if (!files) {\n",
 227 |               "    return {\n",
 228 |               "      response: {\n",
 229 |               "        action: 'complete',\n",
 230 |               "      }\n",
 231 |               "    };\n",
 232 |               "  }\n",
 233 |               "\n",
 234 |               "  for (const file of files) {\n",
 235 |               "    const li = document.createElement('li');\n",
 236 |               "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
 237 |               "    li.append(span(\n",
 238 |               "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
 239 |               "        `last modified: ${\n",
 240 |               "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
 241 |               "                                    'n/a'} - `));\n",
 242 |               "    const percent = span('0% done');\n",
 243 |               "    li.appendChild(percent);\n",
 244 |               "\n",
 245 |               "    outputElement.appendChild(li);\n",
 246 |               "\n",
 247 |               "    const fileDataPromise = new Promise((resolve) => {\n",
 248 |               "      const reader = new FileReader();\n",
 249 |               "      reader.onload = (e) => {\n",
 250 |               "        resolve(e.target.result);\n",
 251 |               "      };\n",
 252 |               "      reader.readAsArrayBuffer(file);\n",
 253 |               "    });\n",
 254 |               "    // Wait for the data to be ready.\n",
 255 |               "    let fileData = yield {\n",
 256 |               "      promise: fileDataPromise,\n",
 257 |               "      response: {\n",
 258 |               "        action: 'continue',\n",
 259 |               "      }\n",
 260 |               "    };\n",
 261 |               "\n",
 262 |               "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
 263 |               "    let position = 0;\n",
 264 |               "    do {\n",
 265 |               "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
 266 |               "      const chunk = new Uint8Array(fileData, position, length);\n",
 267 |               "      position += length;\n",
 268 |               "\n",
 269 |               "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
 270 |               "      yield {\n",
 271 |               "        response: {\n",
 272 |               "          action: 'append',\n",
 273 |               "          file: file.name,\n",
 274 |               "          data: base64,\n",
 275 |               "        },\n",
 276 |               "      };\n",
 277 |               "\n",
 278 |               "      let percentDone = fileData.byteLength === 0 ?\n",
 279 |               "          100 :\n",
 280 |               "          Math.round((position / fileData.byteLength) * 100);\n",
 281 |               "      percent.textContent = `${percentDone}% done`;\n",
 282 |               "\n",
 283 |               "    } while (position < fileData.byteLength);\n",
 284 |               "  }\n",
 285 |               "\n",
 286 |               "  // All done.\n",
 287 |               "  yield {\n",
 288 |               "    response: {\n",
 289 |               "      action: 'complete',\n",
 290 |               "    }\n",
 291 |               "  };\n",
 292 |               "}\n",
 293 |               "\n",
 294 |               "scope.google = scope.google || {};\n",
 295 |               "scope.google.colab = scope.google.colab || {};\n",
 296 |               "scope.google.colab._files = {\n",
 297 |               "  _uploadFiles,\n",
 298 |               "  _uploadFilesContinue,\n",
 299 |               "};\n",
 300 |               "})(self);\n",
 301 |               "</script> "
 302 |             ]
 303 |           },
 304 |           "metadata": {}
 305 |         },
 306 |         {
 307 |           "output_type": "stream",
 308 |           "name": "stdout",
 309 |           "text": [
 310 |             "Saving kaggle.json to kaggle.json\n",
 311 |             "Dataset URL: https://www.kaggle.com/datasets/google/tinyquickdraw\n",
 312 |             "License(s): other\n",
 313 |             "Downloading tinyquickdraw.zip to /content\n",
 314 |             "100% 11.1G/11.1G [11:44<00:00, 20.2MB/s]\n",
 315 |             "100% 11.1G/11.1G [11:44<00:00, 16.9MB/s]\n",
 316 |             "Archive:  tinyquickdraw.zip\n",
 317 |             "  inflating: quickdraw_data/baseball bat.ndjson  \n",
 318 |             "  inflating: quickdraw_data/finger.ndjson  \n",
 319 |             "  inflating: quickdraw_data/helmet.ndjson  \n",
 320 |             "  inflating: quickdraw_data/hexagon.ndjson  \n",
 321 |             "  inflating: quickdraw_data/hockey stick.ndjson  \n",
 322 |             "  inflating: quickdraw_data/quickdraw_simplified/The Eiffel Tower.ndjson  \n",
 323 |             "  inflating: quickdraw_data/quickdraw_simplified/The Great Wall of China.ndjson  \n",
 324 |             "  inflating: quickdraw_data/quickdraw_simplified/The Mona Lisa.ndjson  \n",
 325 |             "  inflating: quickdraw_data/quickdraw_simplified/aircraft carrier.ndjson  \n",
 326 |             "  inflating: quickdraw_data/quickdraw_simplified/airplane.ndjson  \n",
 327 |             "  inflating: quickdraw_data/quickdraw_simplified/alarm clock.ndjson  \n",
 328 |             "  inflating: quickdraw_data/quickdraw_simplified/ambulance.ndjson  \n",
 329 |             "  inflating: quickdraw_data/quickdraw_simplified/angel.ndjson  \n",
 330 |             "  inflating: quickdraw_data/quickdraw_simplified/animal migration.ndjson  \n",
 331 |             "  inflating: quickdraw_data/quickdraw_simplified/ant.ndjson  \n",
 332 |             "  inflating: quickdraw_data/quickdraw_simplified/anvil.ndjson  \n",
 333 |             "  inflating: quickdraw_data/quickdraw_simplified/apple.ndjson  \n",
 334 |             "  inflating: quickdraw_data/quickdraw_simplified/arm.ndjson  \n",
 335 |             "  inflating: quickdraw_data/quickdraw_simplified/asparagus.ndjson  \n",
 336 |             "  inflating: quickdraw_data/quickdraw_simplified/axe.ndjson  \n",
 337 |             "  inflating: quickdraw_data/quickdraw_simplified/backpack.ndjson  \n",
 338 |             "  inflating: quickdraw_data/quickdraw_simplified/banana.ndjson  \n",
 339 |             "  inflating: quickdraw_data/quickdraw_simplified/bandage.ndjson  \n",
 340 |             "  inflating: quickdraw_data/quickdraw_simplified/barn.ndjson  \n",
 341 |             "  inflating: quickdraw_data/quickdraw_simplified/baseball bat.ndjson  \n",
 342 |             "  inflating: quickdraw_data/quickdraw_simplified/baseball.ndjson  \n",
 343 |             "  inflating: quickdraw_data/quickdraw_simplified/basket.ndjson  \n",
 344 |             "  inflating: quickdraw_data/quickdraw_simplified/basketball.ndjson  \n",
 345 |             "  inflating: quickdraw_data/quickdraw_simplified/bat.ndjson  \n",
 346 |             "  inflating: quickdraw_data/quickdraw_simplified/bathtub.ndjson  \n",
 347 |             "  inflating: quickdraw_data/quickdraw_simplified/beach.ndjson  \n",
 348 |             "  inflating: quickdraw_data/quickdraw_simplified/bear.ndjson  \n",
 349 |             "  inflating: quickdraw_data/quickdraw_simplified/beard.ndjson  \n",
 350 |             "  inflating: quickdraw_data/quickdraw_simplified/bed.ndjson  \n",
 351 |             "  inflating: quickdraw_data/quickdraw_simplified/bee.ndjson  \n",
 352 |             "  inflating: quickdraw_data/quickdraw_simplified/belt.ndjson  \n",
 353 |             "  inflating: quickdraw_data/quickdraw_simplified/bench.ndjson  \n",
 354 |             "  inflating: quickdraw_data/quickdraw_simplified/bicycle.ndjson  \n",
 355 |             "  inflating: quickdraw_data/quickdraw_simplified/binoculars.ndjson  \n",
 356 |             "  inflating: quickdraw_data/quickdraw_simplified/bird.ndjson  \n",
 357 |             "  inflating: quickdraw_data/quickdraw_simplified/birthday cake.ndjson  \n",
 358 |             "  inflating: quickdraw_data/quickdraw_simplified/blackberry.ndjson  \n",
 359 |             "  inflating: quickdraw_data/quickdraw_simplified/blueberry.ndjson  \n",
 360 |             "  inflating: quickdraw_data/quickdraw_simplified/book.ndjson  \n",
 361 |             "  inflating: quickdraw_data/quickdraw_simplified/boomerang.ndjson  \n",
 362 |             "  inflating: quickdraw_data/quickdraw_simplified/bottlecap.ndjson  \n",
 363 |             "  inflating: quickdraw_data/quickdraw_simplified/bowtie.ndjson  \n",
 364 |             "  inflating: quickdraw_data/quickdraw_simplified/bracelet.ndjson  \n",
 365 |             "  inflating: quickdraw_data/quickdraw_simplified/brain.ndjson  \n",
 366 |             "  inflating: quickdraw_data/quickdraw_simplified/bread.ndjson  \n",
 367 |             "  inflating: quickdraw_data/quickdraw_simplified/bridge.ndjson  \n",
 368 |             "  inflating: quickdraw_data/quickdraw_simplified/broccoli.ndjson  \n",
 369 |             "  inflating: quickdraw_data/quickdraw_simplified/broom.ndjson  \n",
 370 |             "  inflating: quickdraw_data/quickdraw_simplified/bucket.ndjson  \n",
 371 |             "  inflating: quickdraw_data/quickdraw_simplified/bulldozer.ndjson  \n",
 372 |             "  inflating: quickdraw_data/quickdraw_simplified/bus.ndjson  \n",
 373 |             "  inflating: quickdraw_data/quickdraw_simplified/bush.ndjson  \n",
 374 |             "  inflating: quickdraw_data/quickdraw_simplified/butterfly.ndjson  \n",
 375 |             "  inflating: quickdraw_data/quickdraw_simplified/cactus.ndjson  \n",
 376 |             "  inflating: quickdraw_data/quickdraw_simplified/cake.ndjson  \n",
 377 |             "  inflating: quickdraw_data/quickdraw_simplified/calculator.ndjson  \n",
 378 |             "  inflating: quickdraw_data/quickdraw_simplified/calendar.ndjson  \n",
 379 |             "  inflating: quickdraw_data/quickdraw_simplified/camel.ndjson  \n",
 380 |             "  inflating: quickdraw_data/quickdraw_simplified/camera.ndjson  \n",
 381 |             "  inflating: quickdraw_data/quickdraw_simplified/camouflage.ndjson  \n",
 382 |             "  inflating: quickdraw_data/quickdraw_simplified/campfire.ndjson  \n",
 383 |             "  inflating: quickdraw_data/quickdraw_simplified/candle.ndjson  \n",
 384 |             "  inflating: quickdraw_data/quickdraw_simplified/cannon.ndjson  \n",
 385 |             "  inflating: quickdraw_data/quickdraw_simplified/canoe.ndjson  \n",
 386 |             "  inflating: quickdraw_data/quickdraw_simplified/car.ndjson  \n",
 387 |             "  inflating: quickdraw_data/quickdraw_simplified/carrot.ndjson  \n",
 388 |             "  inflating: quickdraw_data/quickdraw_simplified/castle.ndjson  \n",
 389 |             "  inflating: quickdraw_data/quickdraw_simplified/cat.ndjson  \n",
 390 |             "  inflating: quickdraw_data/quickdraw_simplified/ceiling fan.ndjson  \n",
 391 |             "  inflating: quickdraw_data/quickdraw_simplified/cell phone.ndjson  \n",
 392 |             "  inflating: quickdraw_data/quickdraw_simplified/cello.ndjson  \n",
 393 |             "  inflating: quickdraw_data/quickdraw_simplified/chair.ndjson  \n",
 394 |             "  inflating: quickdraw_data/quickdraw_simplified/chandelier.ndjson  \n",
 395 |             "  inflating: quickdraw_data/quickdraw_simplified/church.ndjson  \n",
 396 |             "  inflating: quickdraw_data/quickdraw_simplified/circle.ndjson  \n",
 397 |             "  inflating: quickdraw_data/quickdraw_simplified/clarinet.ndjson  \n",
 398 |             "  inflating: quickdraw_data/quickdraw_simplified/clock.ndjson  \n",
 399 |             "  inflating: quickdraw_data/quickdraw_simplified/cloud.ndjson  \n",
 400 |             "  inflating: quickdraw_data/quickdraw_simplified/coffee cup.ndjson  \n",
 401 |             "  inflating: quickdraw_data/quickdraw_simplified/compass.ndjson  \n",
 402 |             "  inflating: quickdraw_data/quickdraw_simplified/cooler.ndjson  \n",
 403 |             "  inflating: quickdraw_data/quickdraw_simplified/couch.ndjson  \n",
 404 |             "  inflating: quickdraw_data/quickdraw_simplified/cow.ndjson  \n",
 405 |             "  inflating: quickdraw_data/quickdraw_simplified/crab.ndjson  \n",
 406 |             "  inflating: quickdraw_data/quickdraw_simplified/crayon.ndjson  \n",
 407 |             "  inflating: quickdraw_data/quickdraw_simplified/crocodile.ndjson  \n",
 408 |             "  inflating: quickdraw_data/quickdraw_simplified/crown.ndjson  \n",
 409 |             "  inflating: quickdraw_data/quickdraw_simplified/cruise ship.ndjson  \n",
 410 |             "  inflating: quickdraw_data/quickdraw_simplified/cup.ndjson  \n",
 411 |             "  inflating: quickdraw_data/quickdraw_simplified/diamond.ndjson  \n",
 412 |             "  inflating: quickdraw_data/quickdraw_simplified/dishwasher.ndjson  \n",
 413 |             "  inflating: quickdraw_data/quickdraw_simplified/diving board.ndjson  \n",
 414 |             "  inflating: quickdraw_data/quickdraw_simplified/dog.ndjson  \n",
 415 |             "  inflating: quickdraw_data/quickdraw_simplified/dolphin.ndjson  \n",
 416 |             "  inflating: quickdraw_data/quickdraw_simplified/donut.ndjson  \n",
 417 |             "  inflating: quickdraw_data/quickdraw_simplified/door.ndjson  \n",
 418 |             "  inflating: quickdraw_data/quickdraw_simplified/dragon.ndjson  \n",
 419 |             "  inflating: quickdraw_data/quickdraw_simplified/dresser.ndjson  \n",
 420 |             "  inflating: quickdraw_data/quickdraw_simplified/drill.ndjson  \n",
 421 |             "  inflating: quickdraw_data/quickdraw_simplified/drums.ndjson  \n",
 422 |             "  inflating: quickdraw_data/quickdraw_simplified/duck.ndjson  \n",
 423 |             "  inflating: quickdraw_data/quickdraw_simplified/dumbbell.ndjson  \n",
 424 |             "  inflating: quickdraw_data/quickdraw_simplified/ear.ndjson  \n",
 425 |             "  inflating: quickdraw_data/quickdraw_simplified/elbow.ndjson  \n",
 426 |             "  inflating: quickdraw_data/quickdraw_simplified/elephant.ndjson  \n",
 427 |             "  inflating: quickdraw_data/quickdraw_simplified/envelope.ndjson  \n",
 428 |             "  inflating: quickdraw_data/quickdraw_simplified/eraser.ndjson  \n",
 429 |             "  inflating: quickdraw_data/quickdraw_simplified/eye.ndjson  \n",
 430 |             "  inflating: quickdraw_data/quickdraw_simplified/eyeglasses.ndjson  \n",
 431 |             "  inflating: quickdraw_data/quickdraw_simplified/face.ndjson  \n",
 432 |             "  inflating: quickdraw_data/quickdraw_simplified/fan.ndjson  \n",
 433 |             "  inflating: quickdraw_data/quickdraw_simplified/feather.ndjson  \n",
 434 |             "  inflating: quickdraw_data/quickdraw_simplified/fence.ndjson  \n",
 435 |             "  inflating: quickdraw_data/quickdraw_simplified/finger.ndjson  \n",
 436 |             "  inflating: quickdraw_data/quickdraw_simplified/fire hydrant.ndjson  \n",
 437 |             "  inflating: quickdraw_data/quickdraw_simplified/fireplace.ndjson  \n",
 438 |             "  inflating: quickdraw_data/quickdraw_simplified/firetruck.ndjson  \n",
 439 |             "  inflating: quickdraw_data/quickdraw_simplified/fish.ndjson  \n",
 440 |             "  inflating: quickdraw_data/quickdraw_simplified/flamingo.ndjson  \n",
 441 |             "  inflating: quickdraw_data/quickdraw_simplified/flashlight.ndjson  \n",
 442 |             "  inflating: quickdraw_data/quickdraw_simplified/flip flops.ndjson  \n",
 443 |             "  inflating: quickdraw_data/quickdraw_simplified/floor lamp.ndjson  \n",
 444 |             "  inflating: quickdraw_data/quickdraw_simplified/flower.ndjson  \n",
 445 |             "  inflating: quickdraw_data/quickdraw_simplified/flying saucer.ndjson  \n",
 446 |             "  inflating: quickdraw_data/quickdraw_simplified/foot.ndjson  \n",
 447 |             "  inflating: quickdraw_data/quickdraw_simplified/fork.ndjson  \n",
 448 |             "  inflating: quickdraw_data/quickdraw_simplified/frog.ndjson  \n",
 449 |             "  inflating: quickdraw_data/quickdraw_simplified/frying pan.ndjson  \n",
 450 |             "  inflating: quickdraw_data/quickdraw_simplified/garden hose.ndjson  \n",
 451 |             "  inflating: quickdraw_data/quickdraw_simplified/garden.ndjson  \n",
 452 |             "  inflating: quickdraw_data/quickdraw_simplified/giraffe.ndjson  \n",
 453 |             "  inflating: quickdraw_data/quickdraw_simplified/goatee.ndjson  \n",
 454 |             "  inflating: quickdraw_data/quickdraw_simplified/golf club.ndjson  \n",
 455 |             "  inflating: quickdraw_data/quickdraw_simplified/grapes.ndjson  \n",
 456 |             "  inflating: quickdraw_data/quickdraw_simplified/grass.ndjson  \n",
 457 |             "  inflating: quickdraw_data/quickdraw_simplified/guitar.ndjson  \n",
 458 |             "  inflating: quickdraw_data/quickdraw_simplified/hamburger.ndjson  \n",
 459 |             "  inflating: quickdraw_data/quickdraw_simplified/hammer.ndjson  \n",
 460 |             "  inflating: quickdraw_data/quickdraw_simplified/hand.ndjson  \n",
 461 |             "  inflating: quickdraw_data/quickdraw_simplified/harp.ndjson  \n",
 462 |             "  inflating: quickdraw_data/quickdraw_simplified/hat.ndjson  \n",
 463 |             "  inflating: quickdraw_data/quickdraw_simplified/headphones.ndjson  \n",
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 465 |             "  inflating: quickdraw_data/quickdraw_simplified/helicopter.ndjson  \n",
 466 |             "  inflating: quickdraw_data/quickdraw_simplified/helmet.ndjson  \n",
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 469 |             "  inflating: quickdraw_data/quickdraw_simplified/hockey stick.ndjson  \n",
 470 |             "  inflating: quickdraw_data/quickdraw_simplified/horse.ndjson  \n",
 471 |             "  inflating: quickdraw_data/quickdraw_simplified/hospital.ndjson  \n",
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 473 |             "  inflating: quickdraw_data/quickdraw_simplified/hot dog.ndjson  \n",
 474 |             "  inflating: quickdraw_data/quickdraw_simplified/hot tub.ndjson  \n",
 475 |             "  inflating: quickdraw_data/quickdraw_simplified/hourglass.ndjson  \n",
 476 |             "  inflating: quickdraw_data/quickdraw_simplified/house plant.ndjson  \n",
 477 |             "  inflating: quickdraw_data/quickdraw_simplified/house.ndjson  \n",
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 524 |             "  inflating: quickdraw_data/quickdraw_simplified/octopus.ndjson  \n",
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 528 |             "  inflating: quickdraw_data/quickdraw_simplified/paint can.ndjson  \n",
 529 |             "  inflating: quickdraw_data/quickdraw_simplified/paintbrush.ndjson  \n",
 530 |             "  inflating: quickdraw_data/quickdraw_simplified/palm tree.ndjson  \n",
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 532 |             "  inflating: quickdraw_data/quickdraw_simplified/pants.ndjson  \n",
 533 |             "  inflating: quickdraw_data/quickdraw_simplified/paper clip.ndjson  \n",
 534 |             "  inflating: quickdraw_data/quickdraw_simplified/parachute.ndjson  \n",
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 536 |             "  inflating: quickdraw_data/quickdraw_simplified/passport.ndjson  \n",
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 538 |             "  inflating: quickdraw_data/quickdraw_simplified/pear.ndjson  \n",
 539 |             "  inflating: quickdraw_data/quickdraw_simplified/peas.ndjson  \n",
 540 |             "  inflating: quickdraw_data/quickdraw_simplified/pencil.ndjson  \n",
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 542 |             "  inflating: quickdraw_data/quickdraw_simplified/piano.ndjson  \n",
 543 |             "  inflating: quickdraw_data/quickdraw_simplified/pickup truck.ndjson  \n",
 544 |             "  inflating: quickdraw_data/quickdraw_simplified/picture frame.ndjson  \n",
 545 |             "  inflating: quickdraw_data/quickdraw_simplified/pig.ndjson  \n",
 546 |             "  inflating: quickdraw_data/quickdraw_simplified/pillow.ndjson  \n",
 547 |             "  inflating: quickdraw_data/quickdraw_simplified/pineapple.ndjson  \n",
 548 |             "  inflating: quickdraw_data/quickdraw_simplified/pizza.ndjson  \n",
 549 |             "  inflating: quickdraw_data/quickdraw_simplified/pliers.ndjson  \n",
 550 |             "  inflating: quickdraw_data/quickdraw_simplified/police car.ndjson  \n",
 551 |             "  inflating: quickdraw_data/quickdraw_simplified/pond.ndjson  \n",
 552 |             "  inflating: quickdraw_data/quickdraw_simplified/pool.ndjson  \n",
 553 |             "  inflating: quickdraw_data/quickdraw_simplified/popsicle.ndjson  \n",
 554 |             "  inflating: quickdraw_data/quickdraw_simplified/postcard.ndjson  \n",
 555 |             "  inflating: quickdraw_data/quickdraw_simplified/potato.ndjson  \n",
 556 |             "  inflating: quickdraw_data/quickdraw_simplified/power outlet.ndjson  \n",
 557 |             "  inflating: quickdraw_data/quickdraw_simplified/purse.ndjson  \n",
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 559 |             "  inflating: quickdraw_data/quickdraw_simplified/raccoon.ndjson  \n",
 560 |             "  inflating: quickdraw_data/quickdraw_simplified/radio.ndjson  \n",
 561 |             "  inflating: quickdraw_data/quickdraw_simplified/rain.ndjson  \n",
 562 |             "  inflating: quickdraw_data/quickdraw_simplified/rainbow.ndjson  \n",
 563 |             "  inflating: quickdraw_data/quickdraw_simplified/rake.ndjson  \n",
 564 |             "  inflating: quickdraw_data/quickdraw_simplified/remote control.ndjson  \n",
 565 |             "  inflating: quickdraw_data/quickdraw_simplified/rhinoceros.ndjson  \n",
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 567 |             "  inflating: quickdraw_data/quickdraw_simplified/river.ndjson  \n",
 568 |             "  inflating: quickdraw_data/quickdraw_simplified/roller coaster.ndjson  \n",
 569 |             "  inflating: quickdraw_data/quickdraw_simplified/rollerskates.ndjson  \n",
 570 |             "  inflating: quickdraw_data/quickdraw_simplified/sailboat.ndjson  \n",
 571 |             "  inflating: quickdraw_data/quickdraw_simplified/sandwich.ndjson  \n",
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 573 |             "  inflating: quickdraw_data/quickdraw_simplified/saxophone.ndjson  \n",
 574 |             "  inflating: quickdraw_data/quickdraw_simplified/school bus.ndjson  \n",
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 576 |             "  inflating: quickdraw_data/quickdraw_simplified/scorpion.ndjson  \n",
 577 |             "  inflating: quickdraw_data/quickdraw_simplified/screwdriver.ndjson  \n",
 578 |             "  inflating: quickdraw_data/quickdraw_simplified/sea turtle.ndjson  \n",
 579 |             "  inflating: quickdraw_data/quickdraw_simplified/see saw.ndjson  \n",
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 581 |             "  inflating: quickdraw_data/quickdraw_simplified/sheep.ndjson  \n",
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 583 |             "  inflating: quickdraw_data/quickdraw_simplified/shorts.ndjson  \n",
 584 |             "  inflating: quickdraw_data/quickdraw_simplified/shovel.ndjson  \n",
 585 |             "  inflating: quickdraw_data/quickdraw_simplified/sink.ndjson  \n",
 586 |             "  inflating: quickdraw_data/quickdraw_simplified/skateboard.ndjson  \n",
 587 |             "  inflating: quickdraw_data/quickdraw_simplified/skull.ndjson  \n",
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 589 |             "  inflating: quickdraw_data/quickdraw_simplified/sleeping bag.ndjson  \n",
 590 |             "  inflating: quickdraw_data/quickdraw_simplified/smiley face.ndjson  \n",
 591 |             "  inflating: quickdraw_data/quickdraw_simplified/snail.ndjson  \n",
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 593 |             "  inflating: quickdraw_data/quickdraw_simplified/snorkel.ndjson  \n",
 594 |             "  inflating: quickdraw_data/quickdraw_simplified/snowflake.ndjson  \n",
 595 |             "  inflating: quickdraw_data/quickdraw_simplified/snowman.ndjson  \n",
 596 |             "  inflating: quickdraw_data/quickdraw_simplified/soccer ball.ndjson  \n",
 597 |             "  inflating: quickdraw_data/quickdraw_simplified/sock.ndjson  \n",
 598 |             "  inflating: quickdraw_data/quickdraw_simplified/speedboat.ndjson  \n",
 599 |             "  inflating: quickdraw_data/quickdraw_simplified/spider.ndjson  \n",
 600 |             "  inflating: quickdraw_data/quickdraw_simplified/spoon.ndjson  \n",
 601 |             "  inflating: quickdraw_data/quickdraw_simplified/spreadsheet.ndjson  \n",
 602 |             "  inflating: quickdraw_data/quickdraw_simplified/square.ndjson  \n",
 603 |             "  inflating: quickdraw_data/quickdraw_simplified/squiggle.ndjson  \n",
 604 |             "  inflating: quickdraw_data/quickdraw_simplified/squirrel.ndjson  \n",
 605 |             "  inflating: quickdraw_data/quickdraw_simplified/stairs.ndjson  \n",
 606 |             "  inflating: quickdraw_data/quickdraw_simplified/star.ndjson  \n",
 607 |             "  inflating: quickdraw_data/quickdraw_simplified/steak.ndjson  \n",
 608 |             "  inflating: quickdraw_data/quickdraw_simplified/stereo.ndjson  \n",
 609 |             "  inflating: quickdraw_data/quickdraw_simplified/stethoscope.ndjson  \n",
 610 |             "  inflating: quickdraw_data/quickdraw_simplified/stitches.ndjson  \n",
 611 |             "  inflating: quickdraw_data/quickdraw_simplified/stop sign.ndjson  \n",
 612 |             "  inflating: quickdraw_data/quickdraw_simplified/stove.ndjson  \n",
 613 |             "  inflating: quickdraw_data/quickdraw_simplified/strawberry.ndjson  \n",
 614 |             "  inflating: quickdraw_data/quickdraw_simplified/streetlight.ndjson  \n",
 615 |             "  inflating: quickdraw_data/quickdraw_simplified/string bean.ndjson  \n",
 616 |             "  inflating: quickdraw_data/quickdraw_simplified/submarine.ndjson  \n",
 617 |             "  inflating: quickdraw_data/quickdraw_simplified/suitcase.ndjson  \n",
 618 |             "  inflating: quickdraw_data/quickdraw_simplified/sun.ndjson  \n",
 619 |             "  inflating: quickdraw_data/quickdraw_simplified/swan.ndjson  \n",
 620 |             "  inflating: quickdraw_data/quickdraw_simplified/sweater.ndjson  \n",
 621 |             "  inflating: quickdraw_data/quickdraw_simplified/swing set.ndjson  \n",
 622 |             "  inflating: quickdraw_data/quickdraw_simplified/sword.ndjson  \n",
 623 |             "  inflating: quickdraw_data/quickdraw_simplified/syringe.ndjson  \n",
 624 |             "  inflating: quickdraw_data/quickdraw_simplified/t-shirt.ndjson  \n",
 625 |             "  inflating: quickdraw_data/quickdraw_simplified/table.ndjson  \n",
 626 |             "  inflating: quickdraw_data/quickdraw_simplified/teapot.ndjson  \n",
 627 |             "  inflating: quickdraw_data/quickdraw_simplified/teddy-bear.ndjson  \n",
 628 |             "  inflating: quickdraw_data/quickdraw_simplified/telephone.ndjson  \n",
 629 |             "  inflating: quickdraw_data/quickdraw_simplified/television.ndjson  \n",
 630 |             "  inflating: quickdraw_data/quickdraw_simplified/tennis racquet.ndjson  \n",
 631 |             "  inflating: quickdraw_data/quickdraw_simplified/tent.ndjson  \n",
 632 |             "  inflating: quickdraw_data/quickdraw_simplified/tiger.ndjson  \n",
 633 |             "  inflating: quickdraw_data/quickdraw_simplified/toaster.ndjson  \n",
 634 |             "  inflating: quickdraw_data/quickdraw_simplified/toe.ndjson  \n",
 635 |             "  inflating: quickdraw_data/quickdraw_simplified/toilet.ndjson  \n",
 636 |             "  inflating: quickdraw_data/quickdraw_simplified/tooth.ndjson  \n",
 637 |             "  inflating: quickdraw_data/quickdraw_simplified/toothbrush.ndjson  \n",
 638 |             "  inflating: quickdraw_data/quickdraw_simplified/toothpaste.ndjson  \n",
 639 |             "  inflating: quickdraw_data/quickdraw_simplified/tornado.ndjson  \n",
 640 |             "  inflating: quickdraw_data/quickdraw_simplified/tractor.ndjson  \n",
 641 |             "  inflating: quickdraw_data/quickdraw_simplified/traffic light.ndjson  \n",
 642 |             "  inflating: quickdraw_data/quickdraw_simplified/train.ndjson  \n",
 643 |             "  inflating: quickdraw_data/quickdraw_simplified/tree.ndjson  \n",
 644 |             "  inflating: quickdraw_data/quickdraw_simplified/triangle.ndjson  \n",
 645 |             "  inflating: quickdraw_data/quickdraw_simplified/trombone.ndjson  \n",
 646 |             "  inflating: quickdraw_data/quickdraw_simplified/truck.ndjson  \n",
 647 |             "  inflating: quickdraw_data/quickdraw_simplified/trumpet.ndjson  \n",
 648 |             "  inflating: quickdraw_data/quickdraw_simplified/umbrella.ndjson  \n",
 649 |             "  inflating: quickdraw_data/quickdraw_simplified/underwear.ndjson  \n",
 650 |             "  inflating: quickdraw_data/quickdraw_simplified/van.ndjson  \n",
 651 |             "  inflating: quickdraw_data/quickdraw_simplified/vase.ndjson  \n",
 652 |             "  inflating: quickdraw_data/quickdraw_simplified/violin.ndjson  \n",
 653 |             "  inflating: quickdraw_data/quickdraw_simplified/washing machine.ndjson  \n",
 654 |             "  inflating: quickdraw_data/quickdraw_simplified/watermelon.ndjson  \n",
 655 |             "  inflating: quickdraw_data/quickdraw_simplified/waterslide.ndjson  \n",
 656 |             "  inflating: quickdraw_data/quickdraw_simplified/whale.ndjson  \n",
 657 |             "  inflating: quickdraw_data/quickdraw_simplified/wheel.ndjson  \n",
 658 |             "  inflating: quickdraw_data/quickdraw_simplified/windmill.ndjson  \n",
 659 |             "  inflating: quickdraw_data/quickdraw_simplified/wine bottle.ndjson  \n",
 660 |             "  inflating: quickdraw_data/quickdraw_simplified/wine glass.ndjson  \n",
 661 |             "  inflating: quickdraw_data/quickdraw_simplified/wristwatch.ndjson  \n",
 662 |             "  inflating: quickdraw_data/quickdraw_simplified/yoga.ndjson  \n",
 663 |             "  inflating: quickdraw_data/quickdraw_simplified/zebra.ndjson  \n",
 664 |             "  inflating: quickdraw_data/quickdraw_simplified/zigzag.ndjson  \n",
 665 |             "  inflating: quickdraw_data/sketches/sketches/The Eiffel Tower.npz  \n",
 666 |             "  inflating: quickdraw_data/sketches/sketches/The Great Wall of China.npz  \n",
 667 |             "  inflating: quickdraw_data/sketches/sketches/The Mona Lisa.npz  \n",
 668 |             "  inflating: quickdraw_data/sketches/sketches/aircraft carrier.npz  \n",
 669 |             "  inflating: quickdraw_data/sketches/sketches/airplane.npz  \n",
 670 |             "  inflating: quickdraw_data/sketches/sketches/alarm clock.npz  \n",
 671 |             "  inflating: quickdraw_data/sketches/sketches/ambulance.npz  \n",
 672 |             "  inflating: quickdraw_data/sketches/sketches/angel.npz  \n",
 673 |             "  inflating: quickdraw_data/sketches/sketches/animal migration.npz  \n",
 674 |             "  inflating: quickdraw_data/sketches/sketches/ant.npz  \n",
 675 |             "  inflating: quickdraw_data/sketches/sketches/anvil.npz  \n",
 676 |             "  inflating: quickdraw_data/sketches/sketches/apple.npz  \n",
 677 |             "  inflating: quickdraw_data/sketches/sketches/arm.npz  \n",
 678 |             "  inflating: quickdraw_data/sketches/sketches/asparagus.npz  \n",
 679 |             "  inflating: quickdraw_data/sketches/sketches/axe.npz  \n",
 680 |             "  inflating: quickdraw_data/sketches/sketches/backpack.npz  \n",
 681 |             "  inflating: quickdraw_data/sketches/sketches/banana.npz  \n",
 682 |             "  inflating: quickdraw_data/sketches/sketches/bandage.npz  \n",
 683 |             "  inflating: quickdraw_data/sketches/sketches/barn.npz  \n",
 684 |             "  inflating: quickdraw_data/sketches/sketches/baseball bat.npz  \n",
 685 |             "  inflating: quickdraw_data/sketches/sketches/baseball.npz  \n",
 686 |             "  inflating: quickdraw_data/sketches/sketches/basket.npz  \n",
 687 |             "  inflating: quickdraw_data/sketches/sketches/basketball.npz  \n",
 688 |             "  inflating: quickdraw_data/sketches/sketches/bat.npz  \n",
 689 |             "  inflating: quickdraw_data/sketches/sketches/bathtub.npz  \n",
 690 |             "  inflating: quickdraw_data/sketches/sketches/beach.npz  \n",
 691 |             "  inflating: quickdraw_data/sketches/sketches/bear.npz  \n",
 692 |             "  inflating: quickdraw_data/sketches/sketches/beard.npz  \n",
 693 |             "  inflating: quickdraw_data/sketches/sketches/bed.npz  \n",
 694 |             "  inflating: quickdraw_data/sketches/sketches/bee.npz  \n",
 695 |             "  inflating: quickdraw_data/sketches/sketches/belt.npz  \n",
 696 |             "  inflating: quickdraw_data/sketches/sketches/bench.npz  \n",
 697 |             "  inflating: quickdraw_data/sketches/sketches/bicycle.npz  \n",
 698 |             "  inflating: quickdraw_data/sketches/sketches/binoculars.npz  \n",
 699 |             "  inflating: quickdraw_data/sketches/sketches/bird.npz  \n",
 700 |             "  inflating: quickdraw_data/sketches/sketches/birthday cake.npz  \n",
 701 |             "  inflating: quickdraw_data/sketches/sketches/blackberry.npz  \n",
 702 |             "  inflating: quickdraw_data/sketches/sketches/blueberry.npz  \n",
 703 |             "  inflating: quickdraw_data/sketches/sketches/book.npz  \n",
 704 |             "  inflating: quickdraw_data/sketches/sketches/boomerang.npz  \n",
 705 |             "  inflating: quickdraw_data/sketches/sketches/bottlecap.npz  \n",
 706 |             "  inflating: quickdraw_data/sketches/sketches/bowtie.npz  \n",
 707 |             "  inflating: quickdraw_data/sketches/sketches/bracelet.npz  \n",
 708 |             "  inflating: quickdraw_data/sketches/sketches/brain.npz  \n",
 709 |             "  inflating: quickdraw_data/sketches/sketches/bread.npz  \n",
 710 |             "  inflating: quickdraw_data/sketches/sketches/bridge.npz  \n",
 711 |             "  inflating: quickdraw_data/sketches/sketches/broccoli.npz  \n",
 712 |             "  inflating: quickdraw_data/sketches/sketches/broom.npz  \n",
 713 |             "  inflating: quickdraw_data/sketches/sketches/bucket.npz  \n",
 714 |             "  inflating: quickdraw_data/sketches/sketches/bulldozer.npz  \n",
 715 |             "  inflating: quickdraw_data/sketches/sketches/bus.npz  \n",
 716 |             "  inflating: quickdraw_data/sketches/sketches/bush.npz  \n",
 717 |             "  inflating: quickdraw_data/sketches/sketches/butterfly.npz  \n",
 718 |             "  inflating: quickdraw_data/sketches/sketches/cactus.npz  \n",
 719 |             "  inflating: quickdraw_data/sketches/sketches/cake.npz  \n",
 720 |             "  inflating: quickdraw_data/sketches/sketches/calculator.npz  \n",
 721 |             "  inflating: quickdraw_data/sketches/sketches/calendar.npz  \n",
 722 |             "  inflating: quickdraw_data/sketches/sketches/camel.npz  \n",
 723 |             "  inflating: quickdraw_data/sketches/sketches/camera.npz  \n",
 724 |             "  inflating: quickdraw_data/sketches/sketches/camouflage.npz  \n",
 725 |             "  inflating: quickdraw_data/sketches/sketches/campfire.npz  \n",
 726 |             "  inflating: quickdraw_data/sketches/sketches/candle.npz  \n",
 727 |             "  inflating: quickdraw_data/sketches/sketches/cannon.npz  \n",
 728 |             "  inflating: quickdraw_data/sketches/sketches/canoe.npz  \n",
 729 |             "  inflating: quickdraw_data/sketches/sketches/car.npz  \n",
 730 |             "  inflating: quickdraw_data/sketches/sketches/carrot.npz  \n",
 731 |             "  inflating: quickdraw_data/sketches/sketches/castle.npz  \n",
 732 |             "  inflating: quickdraw_data/sketches/sketches/cat.npz  \n",
 733 |             "  inflating: quickdraw_data/sketches/sketches/ceiling fan.npz  \n",
 734 |             "  inflating: quickdraw_data/sketches/sketches/cell phone.npz  \n",
 735 |             "  inflating: quickdraw_data/sketches/sketches/cello.npz  \n",
 736 |             "  inflating: quickdraw_data/sketches/sketches/chair.npz  \n",
 737 |             "  inflating: quickdraw_data/sketches/sketches/chandelier.npz  \n",
 738 |             "  inflating: quickdraw_data/sketches/sketches/church.npz  \n",
 739 |             "  inflating: quickdraw_data/sketches/sketches/circle.npz  \n",
 740 |             "  inflating: quickdraw_data/sketches/sketches/clarinet.npz  \n",
 741 |             "  inflating: quickdraw_data/sketches/sketches/clock.npz  \n",
 742 |             "  inflating: quickdraw_data/sketches/sketches/cloud.npz  \n",
 743 |             "  inflating: quickdraw_data/sketches/sketches/coffee cup.npz  \n",
 744 |             "  inflating: quickdraw_data/sketches/sketches/compass.npz  \n",
 745 |             "  inflating: quickdraw_data/sketches/sketches/computer.npz  \n",
 746 |             "  inflating: quickdraw_data/sketches/sketches/cookie.npz  \n",
 747 |             "  inflating: quickdraw_data/sketches/sketches/cooler.npz  \n",
 748 |             "  inflating: quickdraw_data/sketches/sketches/couch.npz  \n",
 749 |             "  inflating: quickdraw_data/sketches/sketches/cow.npz  \n",
 750 |             "  inflating: quickdraw_data/sketches/sketches/crab.npz  \n",
 751 |             "  inflating: quickdraw_data/sketches/sketches/crayon.npz  \n",
 752 |             "  inflating: quickdraw_data/sketches/sketches/crocodile.npz  \n",
 753 |             "  inflating: quickdraw_data/sketches/sketches/crown.npz  \n",
 754 |             "  inflating: quickdraw_data/sketches/sketches/cruise ship.npz  \n",
 755 |             "  inflating: quickdraw_data/sketches/sketches/cup.npz  \n",
 756 |             "  inflating: quickdraw_data/sketches/sketches/diamond.npz  \n",
 757 |             "  inflating: quickdraw_data/sketches/sketches/dishwasher.npz  \n",
 758 |             "  inflating: quickdraw_data/sketches/sketches/diving board.npz  \n",
 759 |             "  inflating: quickdraw_data/sketches/sketches/dog.npz  \n",
 760 |             "  inflating: quickdraw_data/sketches/sketches/dolphin.npz  \n",
 761 |             "  inflating: quickdraw_data/sketches/sketches/donut.npz  \n",
 762 |             "  inflating: quickdraw_data/sketches/sketches/door.npz  \n",
 763 |             "  inflating: quickdraw_data/sketches/sketches/dragon.npz  \n",
 764 |             "  inflating: quickdraw_data/sketches/sketches/dresser.npz  \n",
 765 |             "  inflating: quickdraw_data/sketches/sketches/drill.npz  \n",
 766 |             "  inflating: quickdraw_data/sketches/sketches/drums.npz  \n",
 767 |             "  inflating: quickdraw_data/sketches/sketches/duck.npz  \n",
 768 |             "  inflating: quickdraw_data/sketches/sketches/dumbbell.npz  \n",
 769 |             "  inflating: quickdraw_data/sketches/sketches/ear.npz  \n",
 770 |             "  inflating: quickdraw_data/sketches/sketches/elbow.npz  \n",
 771 |             "  inflating: quickdraw_data/sketches/sketches/elephant.npz  \n",
 772 |             "  inflating: quickdraw_data/sketches/sketches/envelope.npz  \n",
 773 |             "  inflating: quickdraw_data/sketches/sketches/eraser.npz  \n",
 774 |             "  inflating: quickdraw_data/sketches/sketches/eye.npz  \n",
 775 |             "  inflating: quickdraw_data/sketches/sketches/eyeglasses.npz  \n",
 776 |             "  inflating: quickdraw_data/sketches/sketches/face.npz  \n",
 777 |             "  inflating: quickdraw_data/sketches/sketches/fan.npz  \n",
 778 |             "  inflating: quickdraw_data/sketches/sketches/feather.npz  \n",
 779 |             "  inflating: quickdraw_data/sketches/sketches/fence.npz  \n",
 780 |             "  inflating: quickdraw_data/sketches/sketches/finger.npz  \n",
 781 |             "  inflating: quickdraw_data/sketches/sketches/fire hydrant.npz  \n",
 782 |             "  inflating: quickdraw_data/sketches/sketches/fireplace.npz  \n",
 783 |             "  inflating: quickdraw_data/sketches/sketches/firetruck.npz  \n",
 784 |             "  inflating: quickdraw_data/sketches/sketches/fish.npz  \n",
 785 |             "  inflating: quickdraw_data/sketches/sketches/flamingo.npz  \n",
 786 |             "  inflating: quickdraw_data/sketches/sketches/flashlight.npz  \n",
 787 |             "  inflating: quickdraw_data/sketches/sketches/flip flops.npz  \n",
 788 |             "  inflating: quickdraw_data/sketches/sketches/floor lamp.npz  \n",
 789 |             "  inflating: quickdraw_data/sketches/sketches/flower.npz  \n",
 790 |             "  inflating: quickdraw_data/sketches/sketches/flying saucer.npz  \n",
 791 |             "  inflating: quickdraw_data/sketches/sketches/foot.npz  \n",
 792 |             "  inflating: quickdraw_data/sketches/sketches/fork.npz  \n",
 793 |             "  inflating: quickdraw_data/sketches/sketches/frog.npz  \n",
 794 |             "  inflating: quickdraw_data/sketches/sketches/frying pan.npz  \n",
 795 |             "  inflating: quickdraw_data/sketches/sketches/garden hose.npz  \n",
 796 |             "  inflating: quickdraw_data/sketches/sketches/garden.npz  \n",
 797 |             "  inflating: quickdraw_data/sketches/sketches/giraffe.npz  \n",
 798 |             "  inflating: quickdraw_data/sketches/sketches/goatee.npz  \n",
 799 |             "  inflating: quickdraw_data/sketches/sketches/golf club.npz  \n",
 800 |             "  inflating: quickdraw_data/sketches/sketches/grapes.npz  \n",
 801 |             "  inflating: quickdraw_data/sketches/sketches/grass.npz  \n",
 802 |             "  inflating: quickdraw_data/sketches/sketches/guitar.npz  \n",
 803 |             "  inflating: quickdraw_data/sketches/sketches/hamburger.npz  \n",
 804 |             "  inflating: quickdraw_data/sketches/sketches/hammer.npz  \n",
 805 |             "  inflating: quickdraw_data/sketches/sketches/hand.npz  \n",
 806 |             "  inflating: quickdraw_data/sketches/sketches/harp.npz  \n",
 807 |             "  inflating: quickdraw_data/sketches/sketches/hat.npz  \n",
 808 |             "  inflating: quickdraw_data/sketches/sketches/headphones.npz  \n",
 809 |             "  inflating: quickdraw_data/sketches/sketches/hedgehog.npz  \n",
 810 |             "  inflating: quickdraw_data/sketches/sketches/helicopter.npz  \n",
 811 |             "  inflating: quickdraw_data/sketches/sketches/helmet.npz  \n",
 812 |             "  inflating: quickdraw_data/sketches/sketches/hexagon.npz  \n",
 813 |             "  inflating: quickdraw_data/sketches/sketches/hockey puck.npz  \n",
 814 |             "  inflating: quickdraw_data/sketches/sketches/hockey stick.npz  \n",
 815 |             "  inflating: quickdraw_data/sketches/sketches/horse.npz  \n",
 816 |             "  inflating: quickdraw_data/sketches/sketches/hospital.npz  \n",
 817 |             "  inflating: quickdraw_data/sketches/sketches/hot air balloon.npz  \n",
 818 |             "  inflating: quickdraw_data/sketches/sketches/hot dog.npz  \n",
 819 |             "  inflating: quickdraw_data/sketches/sketches/hot tub.npz  \n",
 820 |             "  inflating: quickdraw_data/sketches/sketches/hourglass.npz  \n",
 821 |             "  inflating: quickdraw_data/sketches/sketches/house plant.npz  \n",
 822 |             "  inflating: quickdraw_data/sketches/sketches/house.npz  \n",
 823 |             "  inflating: quickdraw_data/sketches/sketches/hurricane.npz  \n",
 824 |             "  inflating: quickdraw_data/sketches/sketches/ice cream.npz  \n",
 825 |             "  inflating: quickdraw_data/sketches/sketches/jacket.npz  \n",
 826 |             "  inflating: quickdraw_data/sketches/sketches/jail.npz  \n",
 827 |             "  inflating: quickdraw_data/sketches/sketches/kangaroo.npz  \n",
 828 |             "  inflating: quickdraw_data/sketches/sketches/key.npz  \n",
 829 |             "  inflating: quickdraw_data/sketches/sketches/keyboard.npz  \n",
 830 |             "  inflating: quickdraw_data/sketches/sketches/knee.npz  \n",
 831 |             "  inflating: quickdraw_data/sketches/sketches/knife.npz  \n",
 832 |             "  inflating: quickdraw_data/sketches/sketches/ladder.npz  \n",
 833 |             "  inflating: quickdraw_data/sketches/sketches/lantern.npz  \n",
 834 |             "  inflating: quickdraw_data/sketches/sketches/laptop.npz  \n",
 835 |             "  inflating: quickdraw_data/sketches/sketches/leaf.npz  \n",
 836 |             "  inflating: quickdraw_data/sketches/sketches/leg.npz  \n",
 837 |             "  inflating: quickdraw_data/sketches/sketches/light bulb.npz  \n",
 838 |             "  inflating: quickdraw_data/sketches/sketches/lighter.npz  \n",
 839 |             "  inflating: quickdraw_data/sketches/sketches/lighthouse.npz  \n",
 840 |             "  inflating: quickdraw_data/sketches/sketches/lightning.npz  \n",
 841 |             "  inflating: quickdraw_data/sketches/sketches/line.npz  \n",
 842 |             "  inflating: quickdraw_data/sketches/sketches/lion.npz  \n",
 843 |             "  inflating: quickdraw_data/sketches/sketches/lipstick.npz  \n",
 844 |             "  inflating: quickdraw_data/sketches/sketches/lobster.npz  \n",
 845 |             "  inflating: quickdraw_data/sketches/sketches/lollipop.npz  \n",
 846 |             "  inflating: quickdraw_data/sketches/sketches/mailbox.npz  \n",
 847 |             "  inflating: quickdraw_data/sketches/sketches/map.npz  \n",
 848 |             "  inflating: quickdraw_data/sketches/sketches/marker.npz  \n",
 849 |             "  inflating: quickdraw_data/sketches/sketches/matches.npz  \n",
 850 |             "  inflating: quickdraw_data/sketches/sketches/megaphone.npz  \n",
 851 |             "  inflating: quickdraw_data/sketches/sketches/mermaid.npz  \n",
 852 |             "  inflating: quickdraw_data/sketches/sketches/microphone.npz  \n",
 853 |             "  inflating: quickdraw_data/sketches/sketches/microwave.npz  \n",
 854 |             "  inflating: quickdraw_data/sketches/sketches/monkey.npz  \n",
 855 |             "  inflating: quickdraw_data/sketches/sketches/moon.npz  \n",
 856 |             "  inflating: quickdraw_data/sketches/sketches/mosquito.npz  \n",
 857 |             "  inflating: quickdraw_data/sketches/sketches/motorbike.npz  \n",
 858 |             "  inflating: quickdraw_data/sketches/sketches/mountain.npz  \n",
 859 |             "  inflating: quickdraw_data/sketches/sketches/mouse.npz  \n",
 860 |             "  inflating: quickdraw_data/sketches/sketches/moustache.npz  \n",
 861 |             "  inflating: quickdraw_data/sketches/sketches/mouth.npz  \n",
 862 |             "  inflating: quickdraw_data/sketches/sketches/mug.npz  \n",
 863 |             "  inflating: quickdraw_data/sketches/sketches/mushroom.npz  \n",
 864 |             "  inflating: quickdraw_data/sketches/sketches/nail.npz  \n",
 865 |             "  inflating: quickdraw_data/sketches/sketches/necklace.npz  \n",
 866 |             "  inflating: quickdraw_data/sketches/sketches/nose.npz  \n",
 867 |             "  inflating: quickdraw_data/sketches/sketches/ocean.npz  \n",
 868 |             "  inflating: quickdraw_data/sketches/sketches/octagon.npz  \n",
 869 |             "  inflating: quickdraw_data/sketches/sketches/octopus.npz  \n",
 870 |             "  inflating: quickdraw_data/sketches/sketches/onion.npz  \n",
 871 |             "  inflating: quickdraw_data/sketches/sketches/oven.npz  \n",
 872 |             "  inflating: quickdraw_data/sketches/sketches/owl.npz  \n",
 873 |             "  inflating: quickdraw_data/sketches/sketches/paint can.npz  \n",
 874 |             "  inflating: quickdraw_data/sketches/sketches/paintbrush.npz  \n",
 875 |             "  inflating: quickdraw_data/sketches/sketches/palm tree.npz  \n",
 876 |             "  inflating: quickdraw_data/sketches/sketches/panda.npz  \n",
 877 |             "  inflating: quickdraw_data/sketches/sketches/pants.npz  \n",
 878 |             "  inflating: quickdraw_data/sketches/sketches/paper clip.npz  \n",
 879 |             "  inflating: quickdraw_data/sketches/sketches/parachute.npz  \n",
 880 |             "  inflating: quickdraw_data/sketches/sketches/parrot.npz  \n",
 881 |             "  inflating: quickdraw_data/sketches/sketches/passport.npz  \n",
 882 |             "  inflating: quickdraw_data/sketches/sketches/peanut.npz  \n",
 883 |             "  inflating: quickdraw_data/sketches/sketches/pear.npz  \n",
 884 |             "  inflating: quickdraw_data/sketches/sketches/peas.npz  \n",
 885 |             "  inflating: quickdraw_data/sketches/sketches/pencil.npz  \n",
 886 |             "  inflating: quickdraw_data/sketches/sketches/penguin.npz  \n",
 887 |             "  inflating: quickdraw_data/sketches/sketches/piano.npz  \n",
 888 |             "  inflating: quickdraw_data/sketches/sketches/pickup truck.npz  \n",
 889 |             "  inflating: quickdraw_data/sketches/sketches/picture frame.npz  \n",
 890 |             "  inflating: quickdraw_data/sketches/sketches/pig.npz  \n",
 891 |             "  inflating: quickdraw_data/sketches/sketches/pillow.npz  \n",
 892 |             "  inflating: quickdraw_data/sketches/sketches/pineapple.npz  \n",
 893 |             "  inflating: quickdraw_data/sketches/sketches/pizza.npz  \n",
 894 |             "  inflating: quickdraw_data/sketches/sketches/pliers.npz  \n",
 895 |             "  inflating: quickdraw_data/sketches/sketches/police car.npz  \n",
 896 |             "  inflating: quickdraw_data/sketches/sketches/pond.npz  \n",
 897 |             "  inflating: quickdraw_data/sketches/sketches/pool.npz  \n",
 898 |             "  inflating: quickdraw_data/sketches/sketches/popsicle.npz  \n",
 899 |             "  inflating: quickdraw_data/sketches/sketches/postcard.npz  \n",
 900 |             "  inflating: quickdraw_data/sketches/sketches/potato.npz  \n",
 901 |             "  inflating: quickdraw_data/sketches/sketches/power outlet.npz  \n",
 902 |             "  inflating: quickdraw_data/sketches/sketches/purse.npz  \n",
 903 |             "  inflating: quickdraw_data/sketches/sketches/rabbit.npz  \n",
 904 |             "  inflating: quickdraw_data/sketches/sketches/raccoon.npz  \n",
 905 |             "  inflating: quickdraw_data/sketches/sketches/radio.npz  \n",
 906 |             "  inflating: quickdraw_data/sketches/sketches/rain.npz  \n",
 907 |             "  inflating: quickdraw_data/sketches/sketches/rainbow.npz  \n",
 908 |             "  inflating: quickdraw_data/sketches/sketches/rake.npz  \n",
 909 |             "  inflating: quickdraw_data/sketches/sketches/remote control.npz  \n",
 910 |             "  inflating: quickdraw_data/sketches/sketches/rhinoceros.npz  \n",
 911 |             "  inflating: quickdraw_data/sketches/sketches/rifle.npz  \n",
 912 |             "  inflating: quickdraw_data/sketches/sketches/river.npz  \n",
 913 |             "  inflating: quickdraw_data/sketches/sketches/roller coaster.npz  \n",
 914 |             "  inflating: quickdraw_data/sketches/sketches/rollerskates.npz  \n",
 915 |             "  inflating: quickdraw_data/sketches/sketches/sailboat.npz  \n",
 916 |             "  inflating: quickdraw_data/sketches/sketches/sandwich.npz  \n",
 917 |             "  inflating: quickdraw_data/sketches/sketches/saw.npz  \n",
 918 |             "  inflating: quickdraw_data/sketches/sketches/saxophone.npz  \n",
 919 |             "  inflating: quickdraw_data/sketches/sketches/school bus.npz  \n",
 920 |             "  inflating: quickdraw_data/sketches/sketches/scissors.npz  \n",
 921 |             "  inflating: quickdraw_data/sketches/sketches/scorpion.npz  \n",
 922 |             "  inflating: quickdraw_data/sketches/sketches/screwdriver.npz  \n",
 923 |             "  inflating: quickdraw_data/sketches/sketches/sea turtle.npz  \n",
 924 |             "  inflating: quickdraw_data/sketches/sketches/see saw.npz  \n",
 925 |             "  inflating: quickdraw_data/sketches/sketches/shark.npz  \n",
 926 |             "  inflating: quickdraw_data/sketches/sketches/sheep.npz  \n",
 927 |             "  inflating: quickdraw_data/sketches/sketches/shoe.npz  \n",
 928 |             "  inflating: quickdraw_data/sketches/sketches/shorts.npz  \n",
 929 |             "  inflating: quickdraw_data/sketches/sketches/shovel.npz  \n",
 930 |             "  inflating: quickdraw_data/sketches/sketches/sink.npz  \n",
 931 |             "  inflating: quickdraw_data/sketches/sketches/skateboard.npz  \n",
 932 |             "  inflating: quickdraw_data/sketches/sketches/skull.npz  \n",
 933 |             "  inflating: quickdraw_data/sketches/sketches/skyscraper.npz  \n",
 934 |             "  inflating: quickdraw_data/sketches/sketches/sleeping bag.npz  \n",
 935 |             "  inflating: quickdraw_data/sketches/sketches/smiley face.npz  \n",
 936 |             "  inflating: quickdraw_data/sketches/sketches/snail.npz  \n",
 937 |             "  inflating: quickdraw_data/sketches/sketches/snake.npz  \n",
 938 |             "  inflating: quickdraw_data/sketches/sketches/snorkel.npz  \n",
 939 |             "  inflating: quickdraw_data/sketches/sketches/snowflake.npz  \n",
 940 |             "  inflating: quickdraw_data/sketches/sketches/snowman.npz  \n",
 941 |             "  inflating: quickdraw_data/sketches/sketches/soccer ball.npz  \n",
 942 |             "  inflating: quickdraw_data/sketches/sketches/sock.npz  \n",
 943 |             "  inflating: quickdraw_data/sketches/sketches/speedboat.npz  \n",
 944 |             "  inflating: quickdraw_data/sketches/sketches/spider.npz  \n",
 945 |             "  inflating: quickdraw_data/sketches/sketches/spoon.npz  \n",
 946 |             "  inflating: quickdraw_data/sketches/sketches/spreadsheet.npz  \n",
 947 |             "  inflating: quickdraw_data/sketches/sketches/square.npz  \n",
 948 |             "  inflating: quickdraw_data/sketches/sketches/squiggle.npz  \n",
 949 |             "  inflating: quickdraw_data/sketches/sketches/squirrel.npz  \n",
 950 |             "  inflating: quickdraw_data/sketches/sketches/stairs.npz  \n",
 951 |             "  inflating: quickdraw_data/sketches/sketches/star.npz  \n",
 952 |             "  inflating: quickdraw_data/sketches/sketches/steak.npz  \n",
 953 |             "  inflating: quickdraw_data/sketches/sketches/stereo.npz  \n",
 954 |             "  inflating: quickdraw_data/sketches/sketches/stethoscope.npz  \n",
 955 |             "  inflating: quickdraw_data/sketches/sketches/stitches.npz  \n",
 956 |             "  inflating: quickdraw_data/sketches/sketches/stop sign.npz  \n",
 957 |             "  inflating: quickdraw_data/sketches/sketches/stove.npz  \n",
 958 |             "  inflating: quickdraw_data/sketches/sketches/strawberry.npz  \n",
 959 |             "  inflating: quickdraw_data/sketches/sketches/streetlight.npz  \n",
 960 |             "  inflating: quickdraw_data/sketches/sketches/string bean.npz  \n",
 961 |             "  inflating: quickdraw_data/sketches/sketches/submarine.npz  \n",
 962 |             "  inflating: quickdraw_data/sketches/sketches/suitcase.npz  \n",
 963 |             "  inflating: quickdraw_data/sketches/sketches/sun.npz  \n",
 964 |             "  inflating: quickdraw_data/sketches/sketches/swan.npz  \n",
 965 |             "  inflating: quickdraw_data/sketches/sketches/sweater.npz  \n",
 966 |             "  inflating: quickdraw_data/sketches/sketches/swing set.npz  \n",
 967 |             "  inflating: quickdraw_data/sketches/sketches/sword.npz  \n",
 968 |             "  inflating: quickdraw_data/sketches/sketches/syringe.npz  \n",
 969 |             "  inflating: quickdraw_data/sketches/sketches/t-shirt.npz  \n",
 970 |             "  inflating: quickdraw_data/sketches/sketches/table.npz  \n",
 971 |             "  inflating: quickdraw_data/sketches/sketches/teapot.npz  \n",
 972 |             "  inflating: quickdraw_data/sketches/sketches/teddy-bear.npz  \n",
 973 |             "  inflating: quickdraw_data/sketches/sketches/telephone.npz  \n",
 974 |             "  inflating: quickdraw_data/sketches/sketches/television.npz  \n",
 975 |             "  inflating: quickdraw_data/sketches/sketches/tennis racquet.npz  \n",
 976 |             "  inflating: quickdraw_data/sketches/sketches/tent.npz  \n",
 977 |             "  inflating: quickdraw_data/sketches/sketches/tiger.npz  \n",
 978 |             "  inflating: quickdraw_data/sketches/sketches/toaster.npz  \n",
 979 |             "  inflating: quickdraw_data/sketches/sketches/toe.npz  \n",
 980 |             "  inflating: quickdraw_data/sketches/sketches/toilet.npz  \n",
 981 |             "  inflating: quickdraw_data/sketches/sketches/tooth.npz  \n",
 982 |             "  inflating: quickdraw_data/sketches/sketches/toothbrush.npz  \n",
 983 |             "  inflating: quickdraw_data/sketches/sketches/toothpaste.npz  \n",
 984 |             "  inflating: quickdraw_data/sketches/sketches/tornado.npz  \n",
 985 |             "  inflating: quickdraw_data/sketches/sketches/tractor.npz  \n",
 986 |             "  inflating: quickdraw_data/sketches/sketches/traffic light.npz  \n",
 987 |             "  inflating: quickdraw_data/sketches/sketches/train.npz  \n",
 988 |             "  inflating: quickdraw_data/sketches/sketches/tree.npz  \n",
 989 |             "  inflating: quickdraw_data/sketches/sketches/triangle.npz  \n",
 990 |             "  inflating: quickdraw_data/sketches/sketches/trombone.npz  \n",
 991 |             "  inflating: quickdraw_data/sketches/sketches/truck.npz  \n",
 992 |             "  inflating: quickdraw_data/sketches/sketches/trumpet.npz  \n",
 993 |             "  inflating: quickdraw_data/sketches/sketches/umbrella.npz  \n",
 994 |             "  inflating: quickdraw_data/sketches/sketches/underwear.npz  \n",
 995 |             "  inflating: quickdraw_data/sketches/sketches/van.npz  \n",
 996 |             "  inflating: quickdraw_data/sketches/sketches/vase.npz  \n",
 997 |             "  inflating: quickdraw_data/sketches/sketches/violin.npz  \n",
 998 |             "  inflating: quickdraw_data/sketches/sketches/washing machine.npz  \n",
 999 |             "  inflating: quickdraw_data/sketches/sketches/watermelon.npz  \n",
1000 |             "  inflating: quickdraw_data/sketches/sketches/waterslide.npz  \n",
1001 |             "  inflating: quickdraw_data/sketches/sketches/whale.npz  \n",
1002 |             "  inflating: quickdraw_data/sketches/sketches/wheel.npz  \n",
1003 |             "  inflating: quickdraw_data/sketches/sketches/windmill.npz  \n",
1004 |             "  inflating: quickdraw_data/sketches/sketches/wine bottle.npz  \n",
1005 |             "  inflating: quickdraw_data/sketches/sketches/wine glass.npz  \n",
1006 |             "  inflating: quickdraw_data/sketches/sketches/wristwatch.npz  \n",
1007 |             "  inflating: quickdraw_data/sketches/sketches/yoga.npz  \n",
1008 |             "  inflating: quickdraw_data/sketches/sketches/zebra.npz  \n",
1009 |             "  inflating: quickdraw_data/sketches/sketches/zigzag.npz  \n"
1010 |           ]
1011 |         }
1012 |       ]
1013 |     },
1014 |     {
1015 |       "cell_type": "code",
1016 |       "source": [
1017 |         "!pip install ndjson"
1018 |       ],
1019 |       "metadata": {
1020 |         "colab": {
1021 |           "base_uri": "https://localhost:8080/"
1022 |         },
1023 |         "id": "mzhgXnBN4Z6g",
1024 |         "outputId": "b3025db4-d6f4-4b3a-e480-8eb45209637d"
1025 |       },
1026 |       "execution_count": null,
1027 |       "outputs": [
1028 |         {
1029 |           "output_type": "stream",
1030 |           "name": "stdout",
1031 |           "text": [
1032 |             "Collecting ndjson\n",
1033 |             "  Downloading ndjson-0.3.1-py2.py3-none-any.whl.metadata (3.2 kB)\n",
1034 |             "Downloading ndjson-0.3.1-py2.py3-none-any.whl (5.3 kB)\n",
1035 |             "Installing collected packages: ndjson\n",
1036 |             "Successfully installed ndjson-0.3.1\n"
1037 |           ]
1038 |         }
1039 |       ]
1040 |     },
1041 |     {
1042 |       "cell_type": "code",
1043 |       "source": [
1044 |         "import os\n",
1045 |         "import numpy as np\n",
1046 |         "import cv2\n",
1047 |         "import ndjson\n",
1048 |         "\n",
1049 |         "def preprocess_quickdraw_ndjson(data_path, output_path, occlusion_probability=0.3):\n",
1050 |         "    incomplete_dir = os.path.join(output_path, \"incomplete\")\n",
1051 |         "    complete_dir = os.path.join(output_path, \"complete\")\n",
1052 |         "\n",
1053 |         "    os.makedirs(incomplete_dir, exist_ok=True)\n",
1054 |         "    os.makedirs(complete_dir, exist_ok=True)\n",
1055 |         "\n",
1056 |         "    for filename in os.listdir(data_path):\n",
1057 |         "        if filename.endswith('.ndjson'):\n",
1058 |         "            with open(os.path.join(data_path, filename)) as f:\n",
1059 |         "                sketches = ndjson.load(f)\n",
1060 |         "            for i, sketch_data in enumerate(sketches):\n",
1061 |         "                sketch = sketch_data['drawing']\n",
1062 |         "                img = np.zeros((256, 256), dtype=np.uint8)\n",
1063 |         "\n",
1064 |         "                # Convert sketch to a numpy array and draw it\n",
1065 |         "                for stroke in sketch:\n",
1066 |         "                    points = np.array(list(zip(stroke[0], stroke[1])), dtype=np.int32)\n",
1067 |         "                    cv2.polylines(img, [points], False, 255, 2)\n",
1068 |         "\n",
1069 |         "                # Apply random occlusion\n",
1070 |         "                if np.random.rand() < occlusion_probability:\n",
1071 |         "                    occlusion_mask = np.random.randint(0, 2, img.shape).astype(np.uint8)\n",
1072 |         "                    incomplete_img = img * occlusion_mask\n",
1073 |         "                else:\n",
1074 |         "                    incomplete_img = img\n",
1075 |         "\n",
1076 |         "                # Save complete and incomplete images\n",
1077 |         "                complete_path = os.path.join(complete_dir, f\"{filename.split('.')[0]}_{i}.png\")\n",
1078 |         "                incomplete_path = os.path.join(incomplete_dir, f\"{filename.split('.')[0]}_{i}.png\")\n",
1079 |         "                cv2.imwrite(complete_path, img)\n",
1080 |         "                cv2.imwrite(incomplete_path, incomplete_img)\n",
1081 |         "\n",
1082 |         "# Example usage\n",
1083 |         "data_path = \"quickdraw_data\"  # Path to your .ndjson files\n",
1084 |         "output_path = \"preprocessed_data\"\n",
1085 |         "preprocess_quickdraw_ndjson(data_path, output_path)\n"
1086 |       ],
1087 |       "metadata": {
1088 |         "id": "nbEGnZWazjBv"
1089 |       },
1090 |       "execution_count": null,
1091 |       "outputs": []
1092 |     },
1093 |     {
1094 |       "cell_type": "code",
1095 |       "source": [
1096 |         "import tensorflow as tf\n",
1097 |         "from tensorflow.keras import layers, Model\n",
1098 |         "\n",
1099 |         "def unet_model(input_shape=(256, 256, 1)):\n",
1100 |         "    inputs = layers.Input(shape=input_shape)\n",
1101 |         "\n",
1102 |         "    c1 = layers.Conv2D(64, (3, 3), activation='relu', padding='same')(inputs)\n",
1103 |         "    c1 = layers.Conv2D(64, (3, 3), activation='relu', padding='same')(c1)\n",
1104 |         "    p1 = layers.MaxPooling2D((2, 2))(c1)\n",
1105 |         "\n",
1106 |         "    c2 = layers.Conv2D(128, (3, 3), activation='relu', padding='same')(p1)\n",
1107 |         "    c2 = layers.Conv2D(128, (3, 3), activation='relu', padding='same')(c2)\n",
1108 |         "    p2 = layers.MaxPooling2D((2, 2))(c2)\n",
1109 |         "\n",
1110 |         "    c3 = layers.Conv2D(256, (3, 3), activation='relu', padding='same')(p2)\n",
1111 |         "    c3 = layers.Conv2D(256, (3, 3), activation='relu', padding='same')(c3)\n",
1112 |         "    p3 = layers.MaxPooling2D((2, 2))(c3)\n",
1113 |         "\n",
1114 |         "    c4 = layers.Conv2D(512, (3, 3), activation='relu', padding='same')(p3)\n",
1115 |         "    c4 = layers.Conv2D(512, (3, 3), activation='relu', padding='same')(c4)\n",
1116 |         "\n",
1117 |         "    u5 = layers.Conv2DTranspose(256, (2, 2), strides=(2, 2), padding='same')(c4)\n",
1118 |         "    u5 = layers.concatenate([u5, c3])\n",
1119 |         "    c5 = layers.Conv2D(256, (3, 3), activation='relu', padding='same')(u5)\n",
1120 |         "    c5 = layers.Conv2D(256, (3, 3), activation='relu', padding='same')(c5)\n",
1121 |         "\n",
1122 |         "    u6 = layers.Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same')(c5)\n",
1123 |         "    u6 = layers.concatenate([u6, c2])\n",
1124 |         "    c6 = layers.Conv2D(128, (3, 3), activation='relu', padding='same')(u6)\n",
1125 |         "    c6 = layers.Conv2D(128, (3, 3), activation='relu', padding='same')(c6)\n",
1126 |         "\n",
1127 |         "    u7 = layers.Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same')(c6)\n",
1128 |         "    u7 = layers.concatenate([u7, c1])\n",
1129 |         "    c7 = layers.Conv2D(64, (3, 3), activation='relu', padding='same')(u7)\n",
1130 |         "    c7 = layers.Conv2D(64, (3, 3), activation='relu', padding='same')(c7)\n",
1131 |         "\n",
1132 |         "    outputs = layers.Conv2D(1, (1, 1), activation='sigmoid')(c7)\n",
1133 |         "\n",
1134 |         "    model = Model(inputs=[inputs], outputs=[outputs])\n",
1135 |         "\n",
1136 |         "    model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n",
1137 |         "\n",
1138 |         "    return model\n",
1139 |         "\n",
1140 |         "# Instantiate the model\n",
1141 |         "model = unet_model()\n",
1142 |         "\n",
1143 |         "# Summary of the model\n",
1144 |         "model.summary()\n"
1145 |       ],
1146 |       "metadata": {
1147 |         "colab": {
1148 |           "base_uri": "https://localhost:8080/",
1149 |           "height": 1000
1150 |         },
1151 |         "id": "A_nPK3fRzlPl",
1152 |         "outputId": "3bc2b76d-b70f-494d-cf0d-19acd793991e"
1153 |       },
1154 |       "execution_count": null,
1155 |       "outputs": [
1156 |         {
1157 |           "output_type": "display_data",
1158 |           "data": {
1159 |             "text/plain": [
1160 |               "\u001b[1mModel: \"functional\"\u001b[0m\n"
1161 |             ],
1162 |             "text/html": [
1163 |               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional\"</span>\n",
1164 |               "</pre>\n"
1165 |             ]
1166 |           },
1167 |           "metadata": {}
1168 |         },
1169 |         {
1170 |           "output_type": "display_data",
1171 |           "data": {
1172 |             "text/plain": [
1173 |               "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
1174 |               "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)             \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m       Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to          \u001b[0m\u001b[1m \u001b[0m┃\n",
1175 |               "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
1176 |               "│ input_layer (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m1\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ -                      │\n",
1177 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1178 |               "│ conv2d (\u001b[38;5;33mConv2D\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │            \u001b[38;5;34m640\u001b[0m │ input_layer[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n",
1179 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1180 |               "│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │         \u001b[38;5;34m36,928\u001b[0m │ conv2d[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]           │\n",
1181 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1182 |               "│ max_pooling2d             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │              \u001b[38;5;34m0\u001b[0m │ conv2d_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1183 |               "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)            │                        │                │                        │\n",
1184 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1185 |               "│ conv2d_2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │         \u001b[38;5;34m73,856\u001b[0m │ max_pooling2d[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
1186 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1187 |               "│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │        \u001b[38;5;34m147,584\u001b[0m │ conv2d_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1188 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1189 |               "│ max_pooling2d_1           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ conv2d_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1190 |               "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)            │                        │                │                        │\n",
1191 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1192 |               "│ conv2d_4 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │        \u001b[38;5;34m295,168\u001b[0m │ max_pooling2d_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
1193 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1194 |               "│ conv2d_5 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │        \u001b[38;5;34m590,080\u001b[0m │ conv2d_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1195 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1196 |               "│ max_pooling2d_2           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ conv2d_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1197 |               "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)            │                        │                │                        │\n",
1198 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1199 |               "│ conv2d_6 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │      \u001b[38;5;34m1,180,160\u001b[0m │ max_pooling2d_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
1200 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1201 |               "│ conv2d_7 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │      \u001b[38;5;34m2,359,808\u001b[0m │ conv2d_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1202 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1203 |               "│ conv2d_transpose          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │        \u001b[38;5;34m524,544\u001b[0m │ conv2d_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1204 |               "│ (\u001b[38;5;33mConv2DTranspose\u001b[0m)         │                        │                │                        │\n",
1205 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1206 |               "│ concatenate (\u001b[38;5;33mConcatenate\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ conv2d_transpose[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n",
1207 |               "│                           │                        │                │ conv2d_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1208 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1209 |               "│ conv2d_8 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │      \u001b[38;5;34m1,179,904\u001b[0m │ concatenate[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n",
1210 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1211 |               "│ conv2d_9 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │        \u001b[38;5;34m590,080\u001b[0m │ conv2d_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1212 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1213 |               "│ conv2d_transpose_1        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │        \u001b[38;5;34m131,200\u001b[0m │ conv2d_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1214 |               "│ (\u001b[38;5;33mConv2DTranspose\u001b[0m)         │                        │                │                        │\n",
1215 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1216 |               "│ concatenate_1             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m256\u001b[0m)  │              \u001b[38;5;34m0\u001b[0m │ conv2d_transpose_1[\u001b[38;5;34m0\u001b[0m]… │\n",
1217 |               "│ (\u001b[38;5;33mConcatenate\u001b[0m)             │                        │                │ conv2d_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1218 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1219 |               "│ conv2d_10 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │        \u001b[38;5;34m295,040\u001b[0m │ concatenate_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
1220 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1221 |               "│ conv2d_11 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │        \u001b[38;5;34m147,584\u001b[0m │ conv2d_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n",
1222 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1223 |               "│ conv2d_transpose_2        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │         \u001b[38;5;34m32,832\u001b[0m │ conv2d_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n",
1224 |               "│ (\u001b[38;5;33mConv2DTranspose\u001b[0m)         │                        │                │                        │\n",
1225 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1226 |               "│ concatenate_2             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │              \u001b[38;5;34m0\u001b[0m │ conv2d_transpose_2[\u001b[38;5;34m0\u001b[0m]… │\n",
1227 |               "│ (\u001b[38;5;33mConcatenate\u001b[0m)             │                        │                │ conv2d_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
1228 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1229 |               "│ conv2d_12 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │         \u001b[38;5;34m73,792\u001b[0m │ concatenate_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
1230 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1231 |               "│ conv2d_13 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │         \u001b[38;5;34m36,928\u001b[0m │ conv2d_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n",
1232 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1233 |               "│ conv2d_14 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m1\u001b[0m)    │             \u001b[38;5;34m65\u001b[0m │ conv2d_13[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n",
1234 |               "└───────────────────────────┴────────────────────────┴────────────────┴────────────────────────┘\n"
1235 |             ],
1236 |             "text/html": [
1237 |               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
1238 |               "┃<span style=\"font-weight: bold\"> Layer (type)              </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">        Param # </span>┃<span style=\"font-weight: bold\"> Connected to           </span>┃\n",
1239 |               "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
1240 |               "│ input_layer (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                      │\n",
1241 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1242 |               "│ conv2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ input_layer[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n",
1243 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1244 |               "│ conv2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │         <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │ conv2d[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]           │\n",
1245 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1246 |               "│ max_pooling2d             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1247 |               "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)            │                        │                │                        │\n",
1248 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1249 |               "│ conv2d_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │ max_pooling2d[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
1250 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1251 |               "│ conv2d_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │ conv2d_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1252 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1253 |               "│ max_pooling2d_1           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1254 |               "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)            │                        │                │                        │\n",
1255 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1256 |               "│ conv2d_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │ max_pooling2d_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
1257 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1258 |               "│ conv2d_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │ conv2d_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1259 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1260 |               "│ max_pooling2d_2           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1261 |               "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)            │                        │                │                        │\n",
1262 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1263 |               "│ conv2d_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │ max_pooling2d_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
1264 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1265 |               "│ conv2d_7 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │ conv2d_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1266 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1267 |               "│ conv2d_transpose          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">524,544</span> │ conv2d_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1268 |               "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2DTranspose</span>)         │                        │                │                        │\n",
1269 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1270 |               "│ concatenate (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_transpose[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
1271 |               "│                           │                        │                │ conv2d_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1272 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1273 |               "│ conv2d_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,179,904</span> │ concatenate[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n",
1274 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1275 |               "│ conv2d_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │ conv2d_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1276 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1277 |               "│ conv2d_transpose_1        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">131,200</span> │ conv2d_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1278 |               "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2DTranspose</span>)         │                        │                │                        │\n",
1279 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1280 |               "│ concatenate_1             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)  │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_transpose_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
1281 |               "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)             │                        │                │ conv2d_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1282 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1283 |               "│ conv2d_10 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">295,040</span> │ concatenate_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
1284 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1285 |               "│ conv2d_11 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │ conv2d_10[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n",
1286 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1287 |               "│ conv2d_transpose_2        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │         <span style=\"color: #00af00; text-decoration-color: #00af00\">32,832</span> │ conv2d_11[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n",
1288 |               "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2DTranspose</span>)         │                        │                │                        │\n",
1289 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1290 |               "│ concatenate_2             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_transpose_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
1291 |               "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)             │                        │                │ conv2d_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
1292 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1293 |               "│ conv2d_12 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │         <span style=\"color: #00af00; text-decoration-color: #00af00\">73,792</span> │ concatenate_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
1294 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1295 |               "│ conv2d_13 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │         <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │ conv2d_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n",
1296 |               "├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n",
1297 |               "│ conv2d_14 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">65</span> │ conv2d_13[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n",
1298 |               "└───────────────────────────┴────────────────────────┴────────────────┴────────────────────────┘\n",
1299 |               "</pre>\n"
1300 |             ]
1301 |           },
1302 |           "metadata": {}
1303 |         },
1304 |         {
1305 |           "output_type": "display_data",
1306 |           "data": {
1307 |             "text/plain": [
1308 |               "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m7,696,193\u001b[0m (29.36 MB)\n"
1309 |             ],
1310 |             "text/html": [
1311 |               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">7,696,193</span> (29.36 MB)\n",
1312 |               "</pre>\n"
1313 |             ]
1314 |           },
1315 |           "metadata": {}
1316 |         },
1317 |         {
1318 |           "output_type": "display_data",
1319 |           "data": {
1320 |             "text/plain": [
1321 |               "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m7,696,193\u001b[0m (29.36 MB)\n"
1322 |             ],
1323 |             "text/html": [
1324 |               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">7,696,193</span> (29.36 MB)\n",
1325 |               "</pre>\n"
1326 |             ]
1327 |           },
1328 |           "metadata": {}
1329 |         },
1330 |         {
1331 |           "output_type": "display_data",
1332 |           "data": {
1333 |             "text/plain": [
1334 |               "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
1335 |             ],
1336 |             "text/html": [
1337 |               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
1338 |               "</pre>\n"
1339 |             ]
1340 |           },
1341 |           "metadata": {}
1342 |         }
1343 |       ]
1344 |     },
1345 |     {
1346 |       "cell_type": "code",
1347 |       "source": [
1348 |         "import os\n",
1349 |         "\n",
1350 |         "complete_dir = \"preprocessed_data/complete\"\n",
1351 |         "incomplete_dir = \"preprocessed_data/incomplete\"\n",
1352 |         "\n",
1353 |         "print(f\"Number of images in 'complete': {len(os.listdir(complete_dir))}\")\n",
1354 |         "print(f\"Number of images in 'incomplete': {len(os.listdir(incomplete_dir))}\")\n"
1355 |       ],
1356 |       "metadata": {
1357 |         "colab": {
1358 |           "base_uri": "https://localhost:8080/"
1359 |         },
1360 |         "id": "EP3ykTJu8vlP",
1361 |         "outputId": "409f2533-12af-4097-900e-2248c8daa7df"
1362 |       },
1363 |       "execution_count": null,
1364 |       "outputs": [
1365 |         {
1366 |           "output_type": "stream",
1367 |           "name": "stdout",
1368 |           "text": [
1369 |             "Number of images in 'complete': 686210\n",
1370 |             "Number of images in 'incomplete': 686210\n"
1371 |           ]
1372 |         }
1373 |       ]
1374 |     },
1375 |     {
1376 |       "cell_type": "code",
1377 |       "source": [
1378 |         "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
1379 |         "from tensorflow.keras.callbacks import ModelCheckpoint\n",
1380 |         "\n",
1381 |         "# Data augmentation configuration\n",
1382 |         "datagen = ImageDataGenerator(\n",
1383 |         "    rotation_range=20,\n",
1384 |         "    width_shift_range=0.1,\n",
1385 |         "    height_shift_range=0.1,\n",
1386 |         "    shear_range=0.1,\n",
1387 |         "    zoom_range=0.2,\n",
1388 |         "    horizontal_flip=True,\n",
1389 |         "    fill_mode='nearest',\n",
1390 |         "    validation_split=0.2  # 20% of the data used for validation\n",
1391 |         ")\n",
1392 |         "\n",
1393 |         "def train_model(model, data_dir, batch_size=32, epochs=50):\n",
1394 |         "    # Training data generator\n",
1395 |         "    train_gen = datagen.flow_from_directory(\n",
1396 |         "        data_dir,\n",
1397 |         "        target_size=(256, 256),\n",
1398 |         "        batch_size=batch_size,\n",
1399 |         "        class_mode='input',  # The input and output are the same type\n",
1400 |         "        color_mode='grayscale',\n",
1401 |         "        subset='training',\n",
1402 |         "        classes=['incomplete']  # Only look in the 'incomplete' folder\n",
1403 |         "    )\n",
1404 |         "\n",
1405 |         "    # Validation data generator\n",
1406 |         "    val_gen = datagen.flow_from_directory(\n",
1407 |         "        data_dir,\n",
1408 |         "        target_size=(256, 256),\n",
1409 |         "        batch_size=batch_size,\n",
1410 |         "        class_mode='input',  # The input and output are the same type\n",
1411 |         "        color_mode='grayscale',\n",
1412 |         "        subset='validation',\n",
1413 |         "        classes=['incomplete']  # Only look in the 'incomplete' folder\n",
1414 |         "    )\n",
1415 |         "\n",
1416 |         "    # Checkpoint to save the best model\n",
1417 |         "    checkpoint = ModelCheckpoint(\"unet_model.keras\", monitor='val_loss', verbose=1, save_best_only=True)\n",
1418 |         "\n",
1419 |         "    # Training the model\n",
1420 |         "    model.fit(\n",
1421 |         "        train_gen,\n",
1422 |         "        steps_per_epoch=len(train_gen),\n",
1423 |         "        validation_data=val_gen,\n",
1424 |         "        validation_steps=len(val_gen),\n",
1425 |         "        epochs=epochs,\n",
1426 |         "        callbacks=[checkpoint]\n",
1427 |         "    )\n",
1428 |         "\n",
1429 |         "# Assuming 'model' is your U-Net model already defined\n",
1430 |         "data_dir = \"preprocessed_data\"  # Directory containing 'complete' and 'incomplete' folders\n",
1431 |         "train_model(model, data_dir)\n"
1432 |       ],
1433 |       "metadata": {
1434 |         "colab": {
1435 |           "base_uri": "https://localhost:8080/"
1436 |         },
1437 |         "id": "3JiV_5jwznCg",
1438 |         "outputId": "c01a1dd2-a3f8-4f30-8d95-e106ce2ffb78"
1439 |       },
1440 |       "execution_count": null,
1441 |       "outputs": [
1442 |         {
1443 |           "metadata": {
1444 |             "tags": null
1445 |           },
1446 |           "name": "stdout",
1447 |           "output_type": "stream",
1448 |           "text": [
1449 |             "Found 548968 images belonging to 1 classes.\n",
1450 |             "Found 137242 images belonging to 1 classes.\n",
1451 |             "Epoch 1/50\n"
1452 |           ]
1453 |         },
1454 |         {
1455 |           "metadata": {
1456 |             "tags": null
1457 |           },
1458 |           "name": "stderr",
1459 |           "output_type": "stream",
1460 |           "text": [
1461 |             "/usr/local/lib/python3.10/dist-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n",
1462 |             "  self._warn_if_super_not_called()\n"
1463 |           ]
1464 |         },
1465 |         {
1466 |           "output_type": "stream",
1467 |           "name": "stdout",
1468 |           "text": [
1469 |             "\u001b[1m  175/17156\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m5:17:26\u001b[0m 1s/step - accuracy: 0.5484 - loss: nan"
1470 |           ]
1471 |         }
1472 |       ]
1473 |     },
1474 |     {
1475 |       "cell_type": "code",
1476 |       "source": [
1477 |         "import cv2\n",
1478 |         "import numpy as np\n",
1479 |         "import matplotlib.pyplot as plt\n",
1480 |         "from tensorflow.keras.models import load_model\n",
1481 |         "\n",
1482 |         "def complete_curve_with_model(image_path, model_path=\"unet_model.h5\"):\n",
1483 |         "    model = load_model(model_path)\n",
1484 |         "    image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)\n",
1485 |         "    image = cv2.resize(image, (256, 256))\n",
1486 |         "    image = np.expand_dims(image, axis=-1)\n",
1487 |         "    image = np.expand_dims(image, axis=0)\n",
1488 |         "\n",
1489 |         "    completed_image = model.predict(image)\n",
1490 |         "    completed_image = completed_image.squeeze()\n",
1491 |         "\n",
1492 |         "    plt.figure(figsize=(10, 5))\n",
1493 |         "    plt.subplot(1, 2, 1)\n",
1494 |         "    plt.title(\"Incomplete Image\")\n",
1495 |         "    plt.imshow(image.squeeze(), cmap='gray')\n",
1496 |         "\n",
1497 |         "    plt.subplot(1, 2, 2)\n",
1498 |         "    plt.title(\"Completed Image\")\n",
1499 |         "    plt.imshow(completed_image, cmap='gray')\n",
1500 |         "\n",
1501 |         "    plt.show()\n",
1502 |         "\n",
1503 |         "# Example usage\n",
1504 |         "image_path = \"path_to_your_incomplete_image.png\"  # Replace with your image file path\n",
1505 |         "complete_curve_with_model(image_path)\n"
1506 |       ],
1507 |       "metadata": {
1508 |         "id": "fUccGyjRzquK"
1509 |       },
1510 |       "execution_count": null,
1511 |       "outputs": []
1512 |     }
1513 |   ]
1514 | }


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