Xintao commited on
Commit
112d8be
1 Parent(s): 82acb0f

add v1.4, restorformer, codeformer

Browse files
Files changed (2) hide show
  1. app.py +38 -17
  2. requirements.txt +2 -2
app.py CHANGED
@@ -8,9 +8,19 @@ from gfpgan.utils import GFPGANer
8
  from realesrgan.utils import RealESRGANer
9
 
10
  os.system("pip freeze")
11
- os.system("wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth -P .")
12
- os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.2.pth -P .")
13
- os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P .")
 
 
 
 
 
 
 
 
 
 
14
 
15
  torch.hub.download_url_to_file(
16
  'https://upload.wikimedia.org/wikipedia/commons/thumb/a/ab/Abraham_Lincoln_O-77_matte_collodion_print.jpg/1024px-Abraham_Lincoln_O-77_matte_collodion_print.jpg',
@@ -31,20 +41,20 @@ model_path = 'realesr-general-x4v3.pth'
31
  half = True if torch.cuda.is_available() else False
32
  upsampler = RealESRGANer(scale=4, model_path=model_path, model=model, tile=0, tile_pad=10, pre_pad=0, half=half)
33
 
34
- # Use GFPGAN for face enhancement
35
- face_enhancer_v3 = GFPGANer(
36
- model_path='GFPGANv1.3.pth', upscale=2, arch='clean', channel_multiplier=2, bg_upsampler=upsampler)
37
- face_enhancer_v2 = GFPGANer(
38
- model_path='GFPGANv1.2.pth', upscale=2, arch='clean', channel_multiplier=2, bg_upsampler=upsampler)
39
  os.makedirs('output', exist_ok=True)
40
 
41
 
42
- def inference(img, version, scale):
43
- print(img, version, scale)
 
44
  try:
 
45
  img = cv2.imread(img, cv2.IMREAD_UNCHANGED)
46
  if len(img.shape) == 3 and img.shape[2] == 4:
47
  img_mode = 'RGBA'
 
 
 
48
  else:
49
  img_mode = None
50
 
@@ -53,15 +63,25 @@ def inference(img, version, scale):
53
  img = cv2.resize(img, (w * 2, h * 2), interpolation=cv2.INTER_LANCZOS4)
54
 
55
  if version == 'v1.2':
56
- face_enhancer = face_enhancer_v2
57
- else:
58
- face_enhancer = face_enhancer_v3
 
 
 
 
 
 
 
 
 
 
 
 
59
  try:
60
  _, _, output = face_enhancer.enhance(img, has_aligned=False, only_center_face=False, paste_back=True)
61
  except RuntimeError as error:
62
  print('Error', error)
63
- else:
64
- extension = 'png'
65
 
66
  try:
67
  if scale != 2:
@@ -104,8 +124,9 @@ If you have any question, please email 📧 `[email protected]` or `xintao
104
  gr.Interface(
105
  inference, [
106
  gr.inputs.Image(type="filepath", label="Input"),
107
- gr.inputs.Radio(['v1.2', 'v1.3'], type="value", default='v1.3', label='GFPGAN version'),
108
- gr.inputs.Number(label="Rescaling factor", default=2)
 
109
  ], [
110
  gr.outputs.Image(type="numpy", label="Output (The whole image)"),
111
  gr.outputs.File(label="Download the output image")
 
8
  from realesrgan.utils import RealESRGANer
9
 
10
  os.system("pip freeze")
11
+ # download weights
12
+ if not os.path.exists('realesr-general-x4v3.pth'):
13
+ os.system("wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth -P .")
14
+ if not os.path.exists('GFPGANv1.2.pth'):
15
+ os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.2.pth -P .")
16
+ if not os.path.exists('GFPGANv1.3.pth'):
17
+ os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P .")
18
+ if not os.path.exists('GFPGANv1.4.pth'):
19
+ os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth -P .")
20
+ if not os.path.exists('RestoreFormer.pth'):
21
+ os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/RestoreFormer.pth -P .")
22
+ if not os.path.exists('CodeFormer.pth'):
23
+ os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/CodeFormer.pth -P .")
24
 
25
  torch.hub.download_url_to_file(
26
  'https://upload.wikimedia.org/wikipedia/commons/thumb/a/ab/Abraham_Lincoln_O-77_matte_collodion_print.jpg/1024px-Abraham_Lincoln_O-77_matte_collodion_print.jpg',
 
41
  half = True if torch.cuda.is_available() else False
42
  upsampler = RealESRGANer(scale=4, model_path=model_path, model=model, tile=0, tile_pad=10, pre_pad=0, half=half)
43
 
 
 
 
 
 
44
  os.makedirs('output', exist_ok=True)
45
 
46
 
47
+ def inference(img, version, scale, weight):
48
+ weight /= 100
49
+ print(img, version, scale, weight)
50
  try:
51
+ extension = os.path.splitext(os.path.basename(str(img)))[1]
52
  img = cv2.imread(img, cv2.IMREAD_UNCHANGED)
53
  if len(img.shape) == 3 and img.shape[2] == 4:
54
  img_mode = 'RGBA'
55
+ elif len(img.shape) == 2: # for gray inputs
56
+ img_mode = None
57
+ img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
58
  else:
59
  img_mode = None
60
 
 
63
  img = cv2.resize(img, (w * 2, h * 2), interpolation=cv2.INTER_LANCZOS4)
64
 
65
  if version == 'v1.2':
66
+ face_enhancer = GFPGANer(
67
+ model_path='GFPGANv1.2.pth', upscale=2, arch='clean', channel_multiplier=2, bg_upsampler=upsampler)
68
+ elif version == 'v1.3':
69
+ face_enhancer = GFPGANer(
70
+ model_path='GFPGANv1.3.pth', upscale=2, arch='clean', channel_multiplier=2, bg_upsampler=upsampler)
71
+ elif version == 'v1.4':
72
+ face_enhancer = GFPGANer(
73
+ model_path='GFPGANv1.4.pth', upscale=2, arch='clean', channel_multiplier=2, bg_upsampler=upsampler)
74
+ elif version == 'RestoreFormer':
75
+ face_enhancer = GFPGANer(
76
+ model_path='RestoreFormer.pth', upscale=2, arch='RestoreFormer', channel_multiplier=2, bg_upsampler=upsampler)
77
+ elif version == 'CodeFormer':
78
+ face_enhancer = GFPGANer(
79
+ model_path='CodeFormer.pth', upscale=2, arch='CodeFormer', channel_multiplier=2, bg_upsampler=upsampler)
80
+
81
  try:
82
  _, _, output = face_enhancer.enhance(img, has_aligned=False, only_center_face=False, paste_back=True)
83
  except RuntimeError as error:
84
  print('Error', error)
 
 
85
 
86
  try:
87
  if scale != 2:
 
124
  gr.Interface(
125
  inference, [
126
  gr.inputs.Image(type="filepath", label="Input"),
127
+ gr.inputs.Radio(['v1.2', 'v1.3', 'v1.4', 'RestoeFormer', 'CodeFormer'], type="value", default='v1.4', label='version'),
128
+ gr.inputs.Number(label="Rescaling factor", default=2),
129
+ gr.Slider(0, 100, label='weight, only for CodeFormer. 0 for better quality, 100 for better identity', default=50)
130
  ], [
131
  gr.outputs.Image(type="numpy", label="Output (The whole image)"),
132
  gr.outputs.File(label="Download the output image")
requirements.txt CHANGED
@@ -1,7 +1,7 @@
1
  torch>=1.7
2
  basicsr>=1.4.2
3
- facexlib>=0.2.4
4
- gfpgan>=1.3.4
5
  realesrgan>=0.2.5
6
  numpy
7
  opencv-python
 
1
  torch>=1.7
2
  basicsr>=1.4.2
3
+ facexlib>=0.2.5
4
+ gfpgan>=1.3.6
5
  realesrgan>=0.2.5
6
  numpy
7
  opencv-python