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Running on Zero

ohayonguy commited on
Commit
beeddbb
1 Parent(s): 9a7cbfe

trying to fix run

Browse files
Files changed (1) hide show
  1. app.py +16 -18
app.py CHANGED
@@ -115,24 +115,22 @@ def inference(img, aligned, scale, num_steps):
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  device=device,
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  model_rootpath=None)
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- try:
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- has_aligned = True if aligned == 'aligned' else False
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- _, restored_aligned, restored_img = enhance_face(img, face_helper, has_aligned, only_center_face=False,
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- paste_back=True)
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- if has_aligned:
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- output = restored_aligned[0]
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- else:
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- output = restored_img
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- except RuntimeError as error:
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- print('Error', error)
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- try:
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- if scale != 2:
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- interpolation = cv2.INTER_AREA if scale < 2 else cv2.INTER_LANCZOS4
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- h, w = img.shape[0:2]
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- output = cv2.resize(output, (int(w * scale / 2), int(h * scale / 2)), interpolation=interpolation)
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- except Exception as error:
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- print('Wrong scale input.', error)
 
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  if img_mode == 'RGBA': # RGBA images should be saved in png format
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  extension = 'png'
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  else:
@@ -154,7 +152,7 @@ demo = gr.Interface(
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  inference, [
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  gr.Image(type="filepath", label="Input"),
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  gr.Radio(['aligned', 'unaligned'], type="value", value='unaligned', label='Image Alignment'),
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- gr.Number(label="Rescaling factor", value=2),
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  gr.Number(label="Number of flow steps (a higher value leads to better image quality at the expense of runtime)", value=25),
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  ], [
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  gr.Image(type="numpy", label="Output (The whole image)"),
 
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  device=device,
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  model_rootpath=None)
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+ has_aligned = True if aligned == 'aligned' else False
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+ _, restored_aligned, restored_img = enhance_face(img, face_helper, has_aligned, only_center_face=False,
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+ paste_back=True)
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+ if has_aligned:
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+ output = restored_aligned[0]
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+ else:
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+ output = restored_img
 
 
 
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+
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+ # try:
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+ # if scale != 2:
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+ # interpolation = cv2.INTER_AREA if scale < 2 else cv2.INTER_LANCZOS4
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+ # h, w = img.shape[0:2]
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+ # output = cv2.resize(output, (int(w * scale / 2), int(h * scale / 2)), interpolation=interpolation)
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+ # except Exception as error:
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+ # print('Wrong scale input.', error)
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  if img_mode == 'RGBA': # RGBA images should be saved in png format
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  extension = 'png'
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  else:
 
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  inference, [
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  gr.Image(type="filepath", label="Input"),
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  gr.Radio(['aligned', 'unaligned'], type="value", value='unaligned', label='Image Alignment'),
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+ gr.Number(label="Rescaling factor (the rescaling factor of the final image)", value=2),
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  gr.Number(label="Number of flow steps (a higher value leads to better image quality at the expense of runtime)", value=25),
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  ], [
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  gr.Image(type="numpy", label="Output (The whole image)"),