PKUWilliamYang commited on
Commit
f343e83
1 Parent(s): e541a90

Update vtoonify_model.py

Browse files
Files changed (1) hide show
  1. vtoonify_model.py +2 -1
vtoonify_model.py CHANGED
@@ -202,7 +202,7 @@ class Model():
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  return 'input.mp4', instyle, 'Successfully rescale the video to (%d, %d)'%(bottom-top, right-left)
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  def image_toonify(self, aligned_face: np.ndarray, instyle: torch.Tensor, exstyle: torch.Tensor, style_degree: float, style_type: str) -> tuple[np.ndarray, str]:
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- print(style_type + ' ' + self.style_name)
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  if instyle is None or aligned_face is None:
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  return np.zeros((256,256,3), np.uint8), 'Opps, something wrong with the input. Please go to Step 2 and Rescale Image/First Frame again.'
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  if self.style_name != style_type:
@@ -226,6 +226,7 @@ class Model():
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  return ((y_tilde[0].cpu().numpy().transpose(1, 2, 0) + 1.0) * 127.5).astype(np.uint8), 'Successfully toonify the image with style of %s'%(self.style_name)
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  def video_tooniy(self, aligned_video: str, instyle: torch.Tensor, exstyle: torch.Tensor, style_degree: float, style_type: str) -> tuple[str, str]:
 
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  if aligned_video is None:
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  return 'default.mp4', 'Opps, something wrong with the input. Please go to Step 2 and Rescale Video again.'
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  video_cap = cv2.VideoCapture(aligned_video)
 
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  return 'input.mp4', instyle, 'Successfully rescale the video to (%d, %d)'%(bottom-top, right-left)
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  def image_toonify(self, aligned_face: np.ndarray, instyle: torch.Tensor, exstyle: torch.Tensor, style_degree: float, style_type: str) -> tuple[np.ndarray, str]:
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+ #print(style_type + ' ' + self.style_name)
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  if instyle is None or aligned_face is None:
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  return np.zeros((256,256,3), np.uint8), 'Opps, something wrong with the input. Please go to Step 2 and Rescale Image/First Frame again.'
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  if self.style_name != style_type:
 
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  return ((y_tilde[0].cpu().numpy().transpose(1, 2, 0) + 1.0) * 127.5).astype(np.uint8), 'Successfully toonify the image with style of %s'%(self.style_name)
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  def video_tooniy(self, aligned_video: str, instyle: torch.Tensor, exstyle: torch.Tensor, style_degree: float, style_type: str) -> tuple[str, str]:
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+ #print(style_type + ' ' + self.style_name)
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  if aligned_video is None:
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  return 'default.mp4', 'Opps, something wrong with the input. Please go to Step 2 and Rescale Video again.'
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  video_cap = cv2.VideoCapture(aligned_video)