FaceXlib v0.2.5 Release Note

🚀 Long time no see ☄️

✨ Highlights
✅ support change model root path to save models, so that facexlib does not need to save the models in the site-pacakge path.
✅ support on CPU mode for FaceRestoreHelper
✅ add parsenet to face_restoration_helper

FaceXlib V0.2.2 Release Note

🚀 Have a nice day

✨ Highlights

• [Enhancement] We have updated face_restoration_helper.py. 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

FaceXlib V0.2.1.0 Release Note

🚀 Have a nice day!

✨ Highlights

Fix bugs in FaceRestoreHelper:

1. Fix the inaccurate paste back (back alignment) in FaceRestoreHelper: a339560
2. Remove faces with too small eye distance, such as side faces or too small faces: 24493fc, the example is here: xinntao/Real-ESRGAN#72

Enhancement in FaceRestoreHelper

1. Support alpha channel and gray images: 3c06885

facexlib V0.2.0 Release Note

🚀

✨ 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

facexlib V0.1.0 Release Note

🚀

✨ 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