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Parent(s):
d5e120b
Make it cleaner and error if not square (#5)
Browse files- Make it cleaner and error if not square (c79060a2bd0b10e589062cad295b3e8ea628954b)
Co-authored-by: Apolinário from multimodal AI art <[email protected]>
app.py
CHANGED
@@ -13,6 +13,7 @@ from src.config.crop_config import CropConfig
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from src.config.argument_config import ArgumentConfig
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from src.config.inference_config import InferenceConfig
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import spaces
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# import gdown
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# folder_url = f"https://drive.google.com/drive/folders/1UtKgzKjFAOmZkhNK-OYT0caJ_w2XAnib"
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@@ -43,6 +44,18 @@ def gpu_wrapped_execute_video(*args, **kwargs):
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def gpu_wrapped_execute_image(*args, **kwargs):
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return gradio_pipeline.execute_image(*args, **kwargs)
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# assets
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title_md = "assets/gradio_title.md"
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example_portrait_dir = "assets/examples/source"
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@@ -94,9 +107,9 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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inputs=[video_input],
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cache_examples=False,
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)
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gr.Markdown(load_description("assets/gradio_description_animation.md"))
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with gr.Row():
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with gr.Accordion(open=False, label="Animation Options"):
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with gr.Row():
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flag_relative_input = gr.Checkbox(value=True, label="relative motion")
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flag_do_crop_input = gr.Checkbox(value=True, label="do crop")
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@@ -182,6 +195,11 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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inputs=image_input,
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outputs=[eye_retargeting_slider, lip_retargeting_slider, retargeting_input_image]
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)
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demo.launch(
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server_port=args.server_port,
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from src.config.argument_config import ArgumentConfig
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from src.config.inference_config import InferenceConfig
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import spaces
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import cv2
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# import gdown
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# folder_url = f"https://drive.google.com/drive/folders/1UtKgzKjFAOmZkhNK-OYT0caJ_w2XAnib"
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def gpu_wrapped_execute_image(*args, **kwargs):
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return gradio_pipeline.execute_image(*args, **kwargs)
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def is_square_video(video_path):
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video = cv2.VideoCapture(video_path)
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width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
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height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
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video.release()
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if width != height:
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raise gr.Error("Error: the video does not have a square aspect ratio. We currently only support square videos")
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return gr.update(visible=True)
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# assets
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title_md = "assets/gradio_title.md"
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example_portrait_dir = "assets/examples/source"
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inputs=[video_input],
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cache_examples=False,
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)
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with gr.Row():
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with gr.Accordion(open=False, label="Animation Instructions and Options"):
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gr.Markdown(load_description("assets/gradio_description_animation.md"))
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with gr.Row():
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flag_relative_input = gr.Checkbox(value=True, label="relative motion")
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flag_do_crop_input = gr.Checkbox(value=True, label="do crop")
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inputs=image_input,
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outputs=[eye_retargeting_slider, lip_retargeting_slider, retargeting_input_image]
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)
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video_input.upload(
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fn=is_square_video,
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inputs=video_input,
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outputs=video_input
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)
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demo.launch(
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server_port=args.server_port,
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