mrneuralnet commited on
Commit
0c9acc1
1 Parent(s): d1260b6

Add slider

Browse files
Files changed (2) hide show
  1. app.py +8 -7
  2. deformation_detection/main.py +1 -1
app.py CHANGED
@@ -91,13 +91,14 @@ if __name__ == "__main__":
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  image_pipeline = FaceFakePipelineImage()
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  video_pipeline = FaceFakePipelineVideo()
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- config_payload = {
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- 'face_detection_threshold': 0.997,
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- 'deformation_detection_threshold': 0.6,
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- 'deepfake_detection_threshold': 0.65,
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- 'frame_sampling_interval': 60,
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- 'frame_sampling_max': 50,
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- }
 
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  st.set_page_config(
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  page_title="Nodeflux Face Fake Detection", page_icon=":pencil2:"
 
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  image_pipeline = FaceFakePipelineImage()
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  video_pipeline = FaceFakePipelineVideo()
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+ with st.sidebar:
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+ config_payload = {
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+ 'face_detection_threshold': 0.997,
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+ 'deformation_detection_threshold': 0.6,
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+ 'deepfake_detection_threshold': 0.65,
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+ 'frame_sampling_interval': st.slider('frame_sampling_interval', 0, 60, 300, step=5),
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+ 'frame_sampling_max': st.slider('frame_sampling_max', 0, 50, 100),
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+ }
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  st.set_page_config(
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  page_title="Nodeflux Face Fake Detection", page_icon=":pencil2:"
deformation_detection/main.py CHANGED
@@ -21,7 +21,7 @@ from deformation_detection.utils.visualize import *
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  from deformation_detection.utils.tools import resize_shorter_side
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  class DeformationDetection:
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- def __init__(self, batch_size=16, device=None, gpu_id=0, global_weights='weights/global.pth', local_weights='weights\local.pth'):
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  if device:
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  self.device = device
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  elif torch.cuda.is_available() and gpu_id != -1:
 
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  from deformation_detection.utils.tools import resize_shorter_side
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  class DeformationDetection:
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+ def __init__(self, batch_size=16, device=None, gpu_id=0, global_weights='weights/global.pth', local_weights='weights/local.pth'):
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  if device:
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  self.device = device
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  elif torch.cuda.is_available() and gpu_id != -1: