Hamidreza-Hashemp commited on
Commit
582482e
·
1 Parent(s): 4ca43b0

Update kernel_utils.py

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Files changed (1) hide show
  1. kernel_utils.py +3 -3
kernel_utils.py CHANGED
@@ -199,7 +199,7 @@ class VideoReader:
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  class FaceExtractor:
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  def __init__(self, video_read_fn):
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  self.video_read_fn = video_read_fn
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- self.detector = MTCNN(margin=0, thresholds=[0.7, 0.8, 0.8], device='cuda')
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  def process_videos(self, input_dir, filenames, video_idxs):
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  videos_read = []
@@ -322,10 +322,10 @@ def predict_on_video(face_extractor, video_path, batch_size, input_size, models,
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  else:
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  pass
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  if n > 0:
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- x = torch.tensor(x, device="cuda").float()
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  # Preprocess the images.
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  x = x.permute((0, 3, 1, 2))
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- # x = x.to('cpu')
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  for i in range(len(x)):
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  x[i] = normalize_transform(x[i] / 255.)
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  # Make a prediction, then take the average.
 
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  class FaceExtractor:
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  def __init__(self, video_read_fn):
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  self.video_read_fn = video_read_fn
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+ self.detector = MTCNN(margin=0, thresholds=[0.7, 0.8, 0.8], device='cpu')
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  def process_videos(self, input_dir, filenames, video_idxs):
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  videos_read = []
 
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  else:
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  pass
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  if n > 0:
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+ x = torch.tensor(x, device="cpu").float()
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  # Preprocess the images.
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  x = x.permute((0, 3, 1, 2))
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+ x = x.to('cpu')
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  for i in range(len(x)):
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  x[i] = normalize_transform(x[i] / 255.)
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  # Make a prediction, then take the average.