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        "author": "Miguel de Matos",
        "author_email": "miguelcarvalhaismatos@ua.pt",
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        "description": "# Installation\n\n`pip install -r requirements.txt`\n\n### Detector\n\n#### Using CPU\n\nFor running on CPU, YOLO weights (`.weights` file) have to be on `detection/detectors/yolo3_opencv/yolo-coco` , the file is available on  \nhttps://drive.google.com/open?id=1Ukxp50S3pl97VNI3xT0IYS6OqwoeNOPu .\n\n#### Using GPU\n\nFor running on GPU YOLO weights (`.h5` file) have to be on `detection/detectors/yolo3_keras/model_data` , the file is available on  \nhttps://drive.google.com/open?id=1WvnNVgwuB5muxkitcw4beSNL6najmqfE .\n\n\n\n\n\n",
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        "keywords": "Detection,Tracking,Fingerprint",
        "license": "MIT",
        "maintainer": "",
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        "name": "o4",
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        "summary": "Useful pipeline for detecting vehicles and pedestrians and extract features from the detcetion.",
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