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import gradio as gr |
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from refacer import Refacer |
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import argparse |
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import ngrok |
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parser = argparse.ArgumentParser(description='Refacer') |
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parser.add_argument("--max_num_faces", type=int, help="Max number of faces on UI", default=5) |
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parser.add_argument("--force_cpu", help="Force CPU mode", default=False, action="store_true") |
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parser.add_argument("--share_gradio", help="Share Gradio", default=False, action="store_true") |
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parser.add_argument("--server_name", type=str, help="Server IP address", default="127.0.0.1") |
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parser.add_argument("--server_port", type=int, help="Server port", default=7860) |
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parser.add_argument("--colab_performance", help="Use in colab for better performance", default=False,action="store_true") |
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parser.add_argument("--ngrok", type=str, help="Use ngrok", default=None) |
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parser.add_argument("--ngrok_region", type=str, help="ngrok region", default="us") |
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args = parser.parse_args() |
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refacer = Refacer(force_cpu=args.force_cpu,colab_performance=args.colab_performance) |
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num_faces=args.max_num_faces |
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def connect(token, port, options): |
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account = None |
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if token is None: |
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token = 'None' |
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else: |
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if ':' in token: |
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token, username, password = token.split(':', 2) |
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account = f"{username}:{password}" |
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if not options.get('authtoken_from_env'): |
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options['authtoken'] = token |
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if account: |
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options['basic_auth'] = account |
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try: |
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public_url = ngrok.connect(f"127.0.0.1:{port}", **options).url() |
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except Exception as e: |
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print(f'Invalid ngrok authtoken? ngrok connection aborted due to: {e}\n' |
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f'Your token: {token}, get the right one on https://dashboard.ngrok.com/get-started/your-authtoken') |
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else: |
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print(f'ngrok connected to localhost:{port}! URL: {public_url}\n' |
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'You can use this link after the launch is complete.') |
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def run(*vars): |
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video_path=vars[0] |
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origins=vars[1:(num_faces+1)] |
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destinations=vars[(num_faces+1):(num_faces*2)+1] |
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thresholds=vars[(num_faces*2)+1:] |
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faces = [] |
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for k in range(0,num_faces): |
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if origins[k] is not None and destinations[k] is not None: |
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faces.append({ |
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'origin':origins[k], |
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'destination':destinations[k], |
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'threshold':thresholds[k] |
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}) |
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return refacer.reface(video_path,faces) |
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origin = [] |
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destination = [] |
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thresholds = [] |
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with gr.Blocks() as demo: |
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with gr.Row(): |
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gr.Markdown("# Refacer") |
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with gr.Row(): |
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video=gr.Video(label="Original video",format="mp4") |
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video2=gr.Video(label="Refaced video",interactive=False,format="mp4") |
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for i in range(0,num_faces): |
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with gr.Tab(f"Face #{i+1}"): |
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with gr.Row(): |
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origin.append(gr.Image(label="Face to replace")) |
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destination.append(gr.Image(label="Destination face")) |
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with gr.Row(): |
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thresholds.append(gr.Slider(label="Threshold",minimum=0.0,maximum=1.0,value=0.2)) |
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with gr.Row(): |
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button=gr.Button("Reface", variant="primary") |
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button.click(fn=run,inputs=[video]+origin+destination+thresholds,outputs=[video2]) |
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if args.ngrok is not None: |
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connect(args.ngrok, args.server_port, {'region': args.ngrok_region, 'authtoken_from_env': False}) |
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demo.queue().launch(show_error=True,share=args.share_gradio,server_name=args.server_name,server_port=args.server_port) |
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