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For training or fine-tuning, please refer to their original repositories listed below. \u003cbr\u003e\nNote that we just provide a collection of these algorithms. You need to refer to their original LICENCEs for your intended use.\n\nIf facexlib is helpful in your projects, please help to :star: this repo. Thanks:blush: \u003cbr\u003e\nOther recommended projects: \u0026emsp; :arrow_forward: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) \u0026emsp; :arrow_forward: [GFPGAN](https://github.com/TencentARC/GFPGAN) \u0026emsp; :arrow_forward: [BasicSR](https://github.com/xinntao/BasicSR)\n\n---\n\n## :sparkles: Functions\n\n| Function | Sources  | Original LICENSE |\n| :--- | :---:        |     :---:      |\n| [Detection](facexlib/detection/README.md) | [Pytorch_Retinaface](https://github.com/biubug6/Pytorch_Retinaface) | MIT |\n| [Alignment](facexlib/alignment/README.md) |[AdaptiveWingLoss](https://github.com/protossw512/AdaptiveWingLoss) | Apache 2.0 |\n| [Recognition](facexlib/recognition/README.md) | [InsightFace_Pytorch](https://github.com/TreB1eN/InsightFace_Pytorch) | MIT |\n| [Parsing](facexlib/parsing/README.md) | [face-parsing.PyTorch](https://github.com/zllrunning/face-parsing.PyTorch) | MIT |\n| [Matting](facexlib/matting/README.md) | [MODNet](https://github.com/ZHKKKe/MODNet) | CC 4.0 |\n| [Headpose](facexlib/headpose/README.md) | [deep-head-pose](https://github.com/natanielruiz/deep-head-pose) | Apache 2.0  |\n| [Tracking](facexlib/tracking/README.md) |  [SORT](https://github.com/abewley/sort) | GPL 3.0 |\n| [Assessment](facexlib/assessment/README.md) | [hyperIQA](https://github.com/SSL92/hyperIQA) | - |\n| [Utils](facexlib/utils/README.md) | Face Restoration Helper | - |\n\n## :eyes: Demo and Tutorials\n\n## :wrench: Dependencies and Installation\n\n- Python \u003e= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))\n- [PyTorch \u003e= 1.7](https://pytorch.org/)\n- Option: NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)\n\n### Installation\n\n```bash\npip install facexlib\n```\n\n### Pre-trained models\n\nIt will **automatically** download pre-trained models at the first inference. \u003cbr\u003e\nIf your network is not stable, you can download in advance (may with other download tools), and put them in the folder: `PACKAGE_ROOT_PATH/facexlib/weights`.\n\n## :scroll: License and Acknowledgement\n\nThis project is released under the MIT license. \u003cbr\u003e\n\n## :e-mail: Contact\n\nIf you have any question, open an issue or email `xintao.wang@outlook.com`.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxinntao%2Ffacexlib","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxinntao%2Ffacexlib","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxinntao%2Ffacexlib/lists"}