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    "info": {
        "author": "Donggun LEE",
        "author_email": "gnyotnu39@gmail.com",
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        "description": "# DeepGeo Extension :: YOLO\n- Easy Deep Learning\n - Copyright (c) 2019 [InfoLab](http://infolab.kunsan.ac.kr) ([Donggun LEE](http://duration.digimoon.net))\n\n- How to install\n  ```bash\n  pip install deepgeo_ext_yolo\n  ```\n  - other version\n    ```basha\n    # 0.0.1\n    pip install deepgeo_ext_yolo==0.0.1\n    ```\n   - requirement\n      - Python 3.6\n      ```bash\n      pip install deepgeo opencv-python numpy\n      ```\n- How to use\n   ```python\n   import deepgeo\n\n   engine = deepgeo.Engine()\n   engine.add_model('maskrcnn_yolo','yolo','D:/default_config.json')\n\n   image = deepgeo.Image(\"image.jpg\",\"D:/Project\")\n   image = engine.detect('maskrcnn_yolo', image)[0]\n   image.draw_annotations(image.get_annotation())\n   image.save(\"D:/\",\"test\",\"PNG\")\n   ```\n\n- default_config.json\n   ```json\n     {\n        \"VERSION\" = \"\"\n        \"MODEL_FILE_NAME\" : \"road-damage.weights\",\n        \"MODEL_PATH\" : \"model\",\n        \"CLASSES\" : \"road-damage-class.txt\",\n        \"CONFIG\" : \"road-damage.cfg\",\n        \"MEMO\" : \"road damage detect\"\n     }\n   ```\n\n",
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