update facelib; use seg to paste back

gfpgan/utils.py

@@ -79,6 +79,7 @@ class GFPGANer():
             crop_ratio=(1, 1),
             det_model='retinaface_resnet50',
             save_ext='png',
+            use_parse=True,
             device=self.device)
 
         if model_path.startswith('https://'):

requirements.txt

@@ -1,12 +1,12 @@
-torch>=1.7
+basicsr>=1.3.4.0
+facexlib>=0.2.3
+lmdb
 numpy<1.21  # numba requires numpy<1.21,>=1.17
 opencv-python
-torchvision
-scipy
-tqdm
-basicsr>=1.3.4.0
-facexlib>=0.2.0.3
-lmdb
 pyyaml
+scipy
 tb-nightly
+torch>=1.7
+torchvision
+tqdm
 yapf