notebooks/coco_converter_demo.ipynb

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      "metadata": {
        "id": "Ey_Hx-ePmnEh",
        "outputId": "3e8c2045-f79a-4a9c-c1ec-90b7b9380f10",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!git clone https://github.com/alexliyihao/AAPI_code.git"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'AAPI_code'...\n",
            "remote: Enumerating objects: 64, done.\u001b[K\n",
            "remote: Counting objects: 100% (64/64), done.\u001b[K\n",
            "remote: Compressing objects: 100% (48/48), done.\u001b[K\n",
            "remote: Total 1004 (delta 32), reused 41 (delta 16), pack-reused 940\u001b[K\n",
            "Receiving objects: 100% (1004/1004), 257.72 MiB | 19.77 MiB/s, done.\n",
            "Resolving deltas: 100% (225/225), done.\n",
            "Checking out files: 100% (813/813), done.\n"
          ],
          "name": "stdout"
        }
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    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OA7gZdr8mrB0",
        "scrolled": true
      },
      "source": [
        "from AAPI_code.Collage_generator import collage_generator\n",
        "from AAPI_code.coco_converter import coco_converter\n",
        "from AAPI_code.Collage_generator.utils import *"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SZmKhwTvom_0"
      },
      "source": [
        "# collage_generator"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wmyh2P-Gm11T",
        "outputId": "ca7623fe-b7fb-4784-ea32-cbcc28d63cce",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "col_gen = collage_generator(label_list= [], \n",
        "                            canvas_size=(2000,2000),\n",
        "                            example_image = \"/content/AAPI_code/data/vignettes/background/11000_16000_0_background.png\",\n",
        "                            gaussian_noise_constant = 5,\n",
        "                            cluster_size = (1000,1000),\n",
        "                            patience = 25\n",
        "                            )\n",
        "col_gen.import_images_from_directory(\"/content/AAPI_code/data/vignettes\")"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "image succesfully added to label \"proximal_tubule\" with size [250 250]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DFRq28Yu_tyz"
      },
      "source": [
        "# Generation Example"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2yD80oWA6hF1",
        "outputId": "ff22a84d-43c5-465a-91d3-14c67272d658",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 220,
          "referenced_widgets": [
            "f3272fd086c04834b91a4e86a69e5744",
            "b14800babf9a430cbff01f2079531154",
            "a156e02a35a844a4a25cec7592992f54",
            "2506e00aceae4a37ab81940f46de7fa4",
            "57002ad393c84039a07c05a50e64de52",
            "460e1644202e417a95332c69737f59c5",
            "81e3f2dab3684c19bdf2f7347270e91d",
            "7a237c0ab265423d80e2184d7199d2b7",
            "d919af10ceff48d6b908f779d8688ba5",
            "f70cbecd2527491d99bc6d3591f3ea09",
            "5c2ef5202fe949438c00646f017e992e",
            "8d51900e643c40359a95d7a02dce41ef",
            "ea128972e077499cb65a189687d94b56",
            "d08aac31687b498fbe2178ee0bab0d64",
            "0913ff1172d04fdda9a6d6814109fc8e",
            "1939ce36e4e548049a4c5199d9eebecf",
            "36f6a224e017472c84908698dd175cf9",
            "eb1fc7a399a24cb3b913da6cfbbeafc9",
            "994ab5897e9145a6bb65d3f5aff50f38",
            "9491662f1ac647ea90e68d2f9a6d703c",
            "f63805fba6cb442b8c1fdadb5b6d7c16",
            "ffce7776d303421fa33d253a38172e0c",
            "53020c51342b4bfd9fabaa5e3a62f501",
            "a812292bb90b49e0a24d6676ee5188f8",
            "01d3cb28b384446f93c5177f1d22fc5f",
            "4b6e135bc95f47db93ebf79a6b465594",
            "2e8538682e8d45798ac1e78e9c0b1fa9",
            "61d42ad97dc04b6bafd795ae958ffb69",
            "e885e37ff3d2421783a2db4b5264b38b",
            "4b3a656ea19f4a6c97134794e4e0d89f",
            "319d488f06a04104baa841e57ce2a2d0",
            "82b53805d2774c989cd8da0866a3c73b"
          ]
        }
      },
      "source": [
        "collage,mask, dictionary = col_gen.generate(item_num= 10,\n",
        "                                            ratio_dict={\"cluster\":0.1, \"artery\": 0.5, 'arteriole': 0.4},\n",
        "                                            background_color = False,\n",
        "                                            format = 'COCO')\n",
        "visualize_result(collage,mask, dictionary)# visualize can take new version mask as well"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f3272fd086c04834b91a4e86a69e5744",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Appending Clusters...', max=1.0, style=ProgressStyle(desc…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "d919af10ceff48d6b908f779d8688ba5",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Generating Clusters...', max=500.0, style=ProgressStyle(d…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\r"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "36f6a224e017472c84908698dd175cf9",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Appending artery and arteriole...', max=9.0, style=Progre…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\r"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "01d3cb28b384446f93c5177f1d22fc5f",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Appending distal_tubules...', max=500.0, style=ProgressSt…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\r"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "{'arteriole': 1, 'artery': 2, 'distal_tubule': 3, 'glomerulus': 4, 'proximal_tubule': 5}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CfG_O5NjHaX5",
        "outputId": "22758770-e504-4fc5-9a2b-dd8e1747be9f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "mask.shape"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2000, 2000, 38)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qrFJPTo3bL4C"
      },
      "source": [
        "ccc = coco_converter(root_path=\"COCO\")"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e32ss64vtBmz"
      },
      "source": [
        "ccc.save_intermediate(image = collage, segmentation = mask)"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JVREnbp7-R6x"
      },
      "source": [
        "output = ccc.save_COCO_format()"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LIdry_JBCcJe"
      },
      "source": [
        "import json"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xq2_sgpHCdXV"
      },
      "source": [
        "with open(\"/content/COCO/segmentations.json\", \"r\") as openfile:\n",
        "    output = json.load(openfile)"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_BZkgABgCviU",
        "outputId": "ea2a8809-917e-4fd8-cd1a-bce27ba8243b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "output"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'annotations': [{'file_name': 'COCO/segmentations/mask_2020-11-12 01:36:40.008242-05:00.png',\n",
              "   'image_id': 1,\n",
              "   'segments_info': [{'area': 76619,\n",
              "     'bbox': [0, 80, 217, 503],\n",
              "     'category_id': 3,\n",
              "     'id': 1,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 23456,\n",
              "     'bbox': [0, 875, 87, 358],\n",
              "     'category_id': 3,\n",
              "     'id': 2,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 50356,\n",
              "     'bbox': [0, 1512, 364, 394],\n",
              "     'category_id': 3,\n",
              "     'id': 3,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 42225,\n",
              "     'bbox': [0, 1811, 258, 188],\n",
              "     'category_id': 3,\n",
              "     'id': 4,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 85777,\n",
              "     'bbox': [56, 0, 349, 377],\n",
              "     'category_id': 3,\n",
              "     'id': 5,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 222327,\n",
              "     'bbox': [95, 149, 676, 700],\n",
              "     'category_id': 2,\n",
              "     'id': 6,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 349261,\n",
              "     'bbox': [98, 777, 689, 663],\n",
              "     'category_id': 2,\n",
              "     'id': 7,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 29699,\n",
              "     'bbox': [293, 1533, 250, 222],\n",
              "     'category_id': 1,\n",
              "     'id': 8,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 2804,\n",
              "     'bbox': [326, 1956, 123, 43],\n",
              "     'category_id': 3,\n",
              "     'id': 9,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 133611,\n",
              "     'bbox': [679, 0, 554, 337],\n",
              "     'category_id': 3,\n",
              "     'id': 10,\n",
              "     'iscrowd': 0},\n",
              "    {'area': 60820,\n",
              "     'bbox': [697, 1351, 194, 622],\n",
              "     'category_id': 3,\n",
              "     'id': 11,\n",
              "     'iscrowd': 0},\n",
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              "  {'color': [255, 255, 0],\n",
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              "   'supercategory': 'tubules'},\n",
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              "   'id': 5,\n",
              "   'isthing': 1,\n",
              "   'name': 'proximal_tubule',\n",
              "   'supercategory': 'tubules'}],\n",
              " 'images': [{'coco_url': 'N/A',\n",
              "   'date_captured': 'mages/image_2020-11-12 01:36:40.008242-05:00',\n",
              "   'file_name': 'COCO/images/image_2020-11-12 01:36:40.008242-05:00.png',\n",
              "   'flickr_url': 'N/A',\n",
              "   'height': 2000,\n",
              "   'id': 1,\n",
              "   'license': 1,\n",
              "   'width': 2000}],\n",
              " 'info': {'contributor': 'AAPI group',\n",
              "  'date_created': '2020-11-12 01:36:51.396214-05:00',\n",
              "  'description': 'AAPI Dataset',\n",
              "  'url': 'https://github.com/Auto-annotation-of-Pathology-Images',\n",
              "  'version': '0.1.0',\n",
              "  'year': 2020},\n",
              " 'licenses': [{'id': 1,\n",
              "   'name': 'Attribution-NonCommercial-ShareAlike License',\n",
              "   'url': 'http://creativecommons.org/licenses/by-nc-sa/2.0/'}]}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    }
  ]
}