Facexlib

🚀 Long time no see ☄️

✨ **Highlights**
✅ [support change model root path to save models](https://github.com/xinntao/facexlib/commit/7655b7cde3073c641efc91414c230e81002ce285), so that facexlib does not need to save the models in the `site-pacakge` path.
✅ [support on CPU mode for FaceRestoreHelper](https://github.com/xinntao/facexlib/commit/4f7e851b934825123229449bfe2f033d871b7de7)
✅ [add parsenet to face_restoration_helper](https://github.com/xinntao/facexlib/commit/d0ea779a00ca945fbfbbdcdec4ddb895ee878be7)


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<img src="https://raw.githubusercontent.com/xinntao/facexlib/master/assets/icon.png" height=150>
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🚀 Have a nice day

:sparkles: **Highlights**

- [Enhancement] We have updated [face_restoration_helper.py](https://github.com/xinntao/facexlib/commit/b62be220b87cfb87cc926c36296b39400e1f38cd#diff-a0499d9baa6a7010f5cc5c2be2d3a7bb4c3a4816699554013cc8f9af56609455). It now uses cv2.LMEDS method in the `cv2.estimateAffinePartial2D`, so that it can produce the same result as that of skimage transform.
- We add a face parsing net for low-quality face inputs.

This release also stores the following pre-trained models ;-)
1. parsing_parsenet.pth

🚀 Have a nice day!

✨ **Highlights**

Fix bugs in FaceRestoreHelper:
1. Fix the inaccurate paste back (back alignment) in FaceRestoreHelper: https://github.com/xinntao/facexlib/commit/a3395607634bb1ab9455621eaedb41ceab346466
2. Remove faces with too small eye distance, such as side faces or too small faces: https://github.com/xinntao/facexlib/commit/24493fc888acb03ca627ed07cd75376ab56c85bc, the example is here: https://github.com/xinntao/Real-ESRGAN/issues/72

Enhancement in FaceRestoreHelper
1. Support alpha channel and gray images: https://github.com/xinntao/facexlib/commit/3c06885f8b12b47863a2be4c258397fc1ef23974

🚀

:sparkles: **Highlights**

We have updated a lot!

1. `face_restoration_helper` supports `pad_blur` for multiple faces
2. Add face matting
3. Add face parsing
4. Add face head pose estimation
5. Add assessment


This release also storing the following pre-trained models ;-)
1. assessment_hyperIQA.pth
2. matting_modnet_portrait.pth
3. parsing_bisenet.pth
4. headpose_hopenet.pth

🚀

:sparkles: **Highlights**

Wow, we have a new lib -- facexlib.

This release is mainly for storing the following pre-trained models ;-)

1. alignment_WFLW_4HG.pth
2. detection_mobilenet0.25_Final.pth
3. detection_Resnet50_Final.pth
4. recognition_arcface_ir_se50.pth