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Update app.py
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app.py
CHANGED
@@ -80,7 +80,7 @@ def swap_video_fct(video_path, output_path, source_face, destination_face, toler
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dest_face = sorted(dest_face, key = lambda x : x.bbox[0])
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if(len(dest_face) == 0):
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print("No dest face found")
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return -1
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dest_face_feats = []
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@@ -91,7 +91,7 @@ def swap_video_fct(video_path, output_path, source_face, destination_face, toler
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src_face = app.get(source_face)
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src_face = sorted(src_face, key = lambda x : x.bbox[0])
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if(len(src_face) == 0):
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print("No source face found")
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return -1
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cap = cv2.VideoCapture(video_path)
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@@ -115,7 +115,7 @@ def swap_video_fct(video_path, output_path, source_face, destination_face, toler
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for_range = range(preview-1,preview)
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for i in for_range:
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progress(i/frame_count, desc="Processing")
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cap.set(cv2.CAP_PROP_POS_FRAMES, i)
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ret, frame = cap.read()
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#frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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@@ -170,44 +170,44 @@ def show_preview(video_path, frame_number):
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return frame
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def create_interface():
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title = 'Face Swap UI'
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with gr.Blocks(analytics_enabled=False, title=title) as face_swap_ui:
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with gr.Tab("Swap Face Image"):
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(label='Input Image (Click to select a face)', scale=0.5)
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with gr.Row():
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analyze_button = gr.Button("Analyze")
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with gr.Row():
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with gr.Column():
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face_num = gr.Number(label='Recognized Faces')
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face_index_num = gr.Number(label='Face Index', precision=0)
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selected_face = gr.Image(label='Face to swap', interactive=False)
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swap_face = gr.Image(label='Swap Face')
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swap_button = gr.Button("Swap")
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with gr.Column():
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image_output = gr.Image(label='Output Image',interactive=False)
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#text_output = gr.Textbox(placeholder="What is your name?")
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swap_button.click(fn=swap_face_fct, inputs=[image_input, face_index_num, swap_face], outputs=[image_output])
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image_input.select(select_handler, image_input, [selected_face, face_index_num])
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analyze_button.click(fn=get_faces, inputs=image_input, outputs=[image_input,face_num])
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with gr.Tab("Swap Face Video"):
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with gr.Row():
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with gr.Column():
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source_video = gr.Video()
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video_info = gr.Textbox(label="Video Information")
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gr.Markdown("Select a frame for preview with the slider. Then select the face which should be swapped by clicking on it with the cursor")
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video_position = gr.Slider(label="Frame preview",interactive=True)
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frame_preview = gr.Image(label="Frame preview")
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face_index = gr.Textbox(label="Face-Index",interactive=False)
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with gr.Row():
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dest_face_vid = gr.Image(label="Face
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source_face_vid = gr.Image(label="New Face")
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gr.Markdown("The higher the tolerance the more likely a wrong face will be swapped. 30-40 is a good starting point.")
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face_tolerance = gr.Slider(label="Tolerance",value=40,interactive=True)
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preview_video = gr.Button("Preview")
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video_file_path = gr.Text(label="Output Video path incl. file.mp4 (when left empty it will be put in the gradio temp dir)")
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process_video = gr.Button("Process")
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with gr.Column():
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with gr.Column(scale=1):
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image_output = gr.Image()
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dest_face = sorted(dest_face, key = lambda x : x.bbox[0])
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if(len(dest_face) == 0):
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print("๐ก No dest face found")
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return -1
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dest_face_feats = []
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src_face = app.get(source_face)
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src_face = sorted(src_face, key = lambda x : x.bbox[0])
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if(len(src_face) == 0):
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print("๐จ No source face found")
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return -1
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cap = cv2.VideoCapture(video_path)
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for_range = range(preview-1,preview)
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for i in for_range:
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progress(i/frame_count, desc="โณProcessing")
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cap.set(cv2.CAP_PROP_POS_FRAMES, i)
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ret, frame = cap.read()
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#frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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return frame
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def create_interface():
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title = '๐งธ ๐งธFace Swap UI'
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with gr.Blocks(analytics_enabled=False, title=title) as face_swap_ui:
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with gr.Tab("๐ Swap Face Image"):
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(label='๐๏ธInput Image (๐บ Click to select a face)', scale=0.5)
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with gr.Row():
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analyze_button = gr.Button("โ Analyze")
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with gr.Row():
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with gr.Column():
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face_num = gr.Number(label='๐น Recognized Faces')
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face_index_num = gr.Number(label='๐ Face Index', precision=0)
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selected_face = gr.Image(label='๐Face to swap', interactive=False)
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swap_face = gr.Image(label='๐งชSwap Face')
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swap_button = gr.Button("๐งฉ Swap")
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with gr.Column():
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image_output = gr.Image(label='๐คOutput Image',interactive=False)
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#text_output = gr.Textbox(placeholder="What is your name?")
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swap_button.click(fn=swap_face_fct, inputs=[image_input, face_index_num, swap_face], outputs=[image_output])
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image_input.select(select_handler, image_input, [selected_face, face_index_num])
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analyze_button.click(fn=get_faces, inputs=image_input, outputs=[image_input,face_num])
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with gr.Tab("๐บSwap Face Video"):
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with gr.Row():
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with gr.Column():
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source_video = gr.Video()
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video_info = gr.Textbox(label="๐กVideo Information")
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gr.Markdown("๐ ๏ธSelect a frame for preview with the slider. Then select the face which should be swapped by clicking on it with the cursor")
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video_position = gr.Slider(label="๐Frame preview",interactive=True)
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frame_preview = gr.Image(label="๐Frame preview")
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face_index = gr.Textbox(label="๐Face-Index",interactive=False)
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with gr.Row():
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dest_face_vid = gr.Image(label="๐Face to swap",interactive=True)
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source_face_vid = gr.Image(label="๐ฎNew Face")
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gr.Markdown("๐The higher the tolerance the more likely a wrong face will be swapped. 30-40 is a good starting point.")
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face_tolerance = gr.Slider(label="โณTolerance",value=40,interactive=True)
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preview_video = gr.Button("๐ชPreview")
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video_file_path = gr.Text(label="๐ณ๏ธOutput Video path incl. file.mp4 (when left empty it will be put in the gradio temp dir)")
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process_video = gr.Button("โProcess")
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with gr.Column():
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with gr.Column(scale=1):
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image_output = gr.Image()
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