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    "info": {
        "author": "Alexandre Carlier",
        "author_email": "alexandre.carlier01@gmail.com",
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        "description": "# UltimateLabeling\n\n[![Build Status](https://travis-ci.com/alexandre01/UltimateLabeling.svg?branch=master)](https://travis-ci.com/alexandre01/UltimateLabeling)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![PyPI](https://img.shields.io/pypi/pyversions/ultimatelabeling.svg)](https://pypi.python.org/pypi/ultimatelabeling)\n[![PyPI](https://img.shields.io/pypi/v/ultimatelabeling.svg)](https://pypi.python.org/pypi/ultimatelabeling) \n\nA multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker. Developed using PyQt5.\n\n**[Under development]**\n\nThe integrated object detectors and trackers are based on the following codes:\n- [OpenPifPaf](https://github.com/vita-epfl/openpifpaf): for human pose estimation\n- [YOLO darknet](https://github.com/AlexeyAB/darknet): for object detection\n- [SiamMask](https://github.com/foolwood/SiamMask): for visual object tracking\n- [Hungarian algorithm (scipy.optimize)](https://github.com/scipy/scipy): for optimal instance ID assignment\n\nFor remote server processing, follow the guide below in order to configure the [server files](https://github.com/alexandre01/UltimateLabeling_server).\n\n\n## Demo \n![screenshot](docs/ultimatelabeling.jpg)\n\n![uptown_funk](docs/uptown_funk.jpg)\n\n![roundabout](docs/roundabout.jpg)\n\n\n## Features\n- SSH connection to the remote server (see below to configure the server)\n- YOLO and OpenPifPaf integrated object & pose detectors (single frame and entire video mode)\n- Hungarian instance ID assignment\n- SiamMask Visual object tracking for missing or mislabeled objects\n- Zoom on the video, resizable bounding boxes and skeletons\n- Dark mode!\n\n\n## Installation\n\nInstall the requirements using `pip` as follows:\n\n```\npip install -r requirements\n```\n\nPut the videos (folder of images or video file, the frames will be extracted automatically) inside the `data` folder. Then, open the GUI using \n\n```sh\npython -m ultimatelabeling.main\n```\n\nAfter closing the window, the annotations are available in the `output` folder.\n\n\n## Remote server configuration\nTo configure the remote GPU server, follow the steps below:\n\n```sh\ngit clone https://github.com/alexandre01/UltimateLabeling_server.git\ncd UltimateLabeling_server\npip install -r requirements.txt\nbash siamMask/setup.sh\nbash detection/setup.sh\n```\n\nThe data images and videos should be placed in the folder `data`, similarly to the client code.\n\nTo extract video files, use the following script:\n\n```sh\nbash extract.sh data/video_file.mp4\n```\n\n\n## Licence\nCopyright (c) 2019 Alexandre Carlier, released under the MIT licence.",
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