Metadata-Version: 2.1
Name: facexlib
Version: 0.2.1.1
Summary: Basic face library
Home-page: https://github.com/xinntao/facexlib
Author: Xintao Wang
Author-email: xintao.wang@outlook.com
License: Apache License 2.0
Description: # ![icon](assets/icon_small.png) FaceXLib
        
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        [English](README.md) **|** [简体中文](README_CN.md) &emsp; [GitHub](https://github.com/xinntao/facexlib) **|** [Gitee码云](https://gitee.com/xinntao/facexlib)
        
        ---
        
        **facexlib** aims at providing ready-to-use **face-related** functions based on current STOA open-source methods. <br>
        Only PyTorch reference codes are available. For training or fine-tuning, please refer to their original repositories listed below. <br>
        Note that we just provide a collection of these algorithms. You need to refer to their original LICENCEs for your intended use.
        
        If facexlib is helpful in your projects, please help to :star: this repo. Thanks:blush: <br>
        Other recommended projects: &emsp; :arrow_forward: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) &emsp; :arrow_forward: [GFPGAN](https://github.com/TencentARC/GFPGAN) &emsp; :arrow_forward: [BasicSR](https://github.com/xinntao/BasicSR)
        
        ---
        
        ## :sparkles: Functions
        
        | Function | Sources  | Original LICENSE |
        | :--- | :---:        |     :---:      |
        | [Detection](facexlib/detection/README.md) | [Pytorch_Retinaface](https://github.com/biubug6/Pytorch_Retinaface) | MIT |
        | [Alignment](facexlib/alignment/README.md) |[AdaptiveWingLoss](https://github.com/protossw512/AdaptiveWingLoss) | Apache 2.0 |
        | [Recognition](facexlib/recognition/README.md) | [InsightFace_Pytorch](https://github.com/TreB1eN/InsightFace_Pytorch) | MIT |
        | [Parsing](facexlib/parsing/README.md) | [face-parsing.PyTorch](https://github.com/zllrunning/face-parsing.PyTorch) | MIT |
        | [Matting](facexlib/matting/README.md) | [MODNet](https://github.com/ZHKKKe/MODNet) | CC 4.0 |
        | [Headpose](facexlib/headpose/README.md) | [deep-head-pose](https://github.com/natanielruiz/deep-head-pose) | Apache 2.0  |
        | [Tracking](facexlib/tracking/README.md) |  [SORT](https://github.com/abewley/sort) | GPL 3.0 |
        | [Assessment](facexlib/assessment/README.md) | [hyperIQA](https://github.com/SSL92/hyperIQA) | - |
        | [Utils](facexlib/utils/README.md) | Face Restoration Helper | - |
        
        ## :eyes: Demo and Tutorials
        
        ## :wrench: Dependencies and Installation
        
        - Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))
        - [PyTorch >= 1.7](https://pytorch.org/)
        - Option: NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)
        
        ### Installation
        
        ```bash
        pip install facexlib
        ```
        
        ### Pre-trained models
        
        It will **automatically** download pre-trained models at the first inference. <br>
        If 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`.
        
        ## :scroll: License and Acknowledgement
        
        This project is released under the MIT license. <br>
        
        ## :e-mail: Contact
        
        If you have any question, open an issue or email `xintao.wang@outlook.com`.
        
Keywords: computer vision,face,detection,landmark,alignment
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
