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Update app.py
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app.py
CHANGED
@@ -5,11 +5,20 @@ import os
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from PIL import Image
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import time
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import app_config as cfg
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model = SwinTExCo(weights_path=cfg.ckpt_path)
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def video_colorization(video_path, ref_image, progress=gr.Progress()):
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# Initialize video reader
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video_reader = cv2.VideoCapture(video_path)
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fps = video_reader.get(cv2.CAP_PROP_FPS)
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@@ -17,34 +26,107 @@ def video_colorization(video_path, ref_image, progress=gr.Progress()):
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width = int(video_reader.get(cv2.CAP_PROP_FRAME_WIDTH))
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num_frames = int(video_reader.get(cv2.CAP_PROP_FRAME_COUNT))
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# Initialize reference image
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ref_image = Image.fromarray(ref_image)
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# Initialize video writer
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output_path = os.path.join(os.path.dirname(video_path), os.path.basename(video_path).split('.')[0] + '
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video_writer = cv2.VideoWriter(output_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (width, height))
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# Init progress bar
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for colorized_frame, _ in zip(model.predict_video(video_reader, ref_image), progress.tqdm(range(num_frames), desc="Colorizing video", unit="frames")):
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video_writer.release()
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return output_path
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app.launch()
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from PIL import Image
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import time
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import app_config as cfg
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import threading
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model = SwinTExCo(weights_path=cfg.ckpt_path)
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stop_thread = False
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def stop_process():
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global stop_thread
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stop_thread = True
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def video_colorization(video_path, ref_image, progress=gr.Progress()):
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global stop_thread
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# Initialize video reader
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video_reader = cv2.VideoCapture(video_path)
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fps = video_reader.get(cv2.CAP_PROP_FPS)
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width = int(video_reader.get(cv2.CAP_PROP_FRAME_WIDTH))
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num_frames = int(video_reader.get(cv2.CAP_PROP_FRAME_COUNT))
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if not video_reader.isOpened():
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gr.Warning("Please upload a valid video.")
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if ref_image is None:
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gr.Warning("Please upload a valid reference image.")
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# Initialize reference image
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ref_image = Image.fromarray(ref_image)
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# Initialize video writer
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output_path = os.path.join(os.path.dirname(video_path), os.path.basename(video_path).split('.')[0] + f'_colorized_{time.time_ns()}.mp4')
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video_writer = cv2.VideoWriter(output_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (width, height))
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for colorized_frame, _ in zip(model.predict_video(video_reader, ref_image), progress.tqdm(range(num_frames), desc="Colorizing video", unit="frames")):
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if stop_thread:
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stop_thread = False
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break
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else:
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colorized_frame = cv2.cvtColor(colorized_frame, cv2.COLOR_RGB2BGR)
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video_writer.write(colorized_frame)
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video_writer.release()
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return output_path
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def image_colorization(image, ref_image):
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if image is None:
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gr.Warning("Please upload a valid image.")
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if ref_image is None:
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gr.Warning("Please upload a valid reference image.")
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# Initialize image
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image = Image.fromarray(image)
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ref_image = Image.fromarray(ref_image)
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colorized_image = model.predict_image(image, ref_image)
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return colorized_image
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# app = gr.Interface(
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# fn=video_colorization,
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# inputs=[gr.Video(format="mp4", sources="upload", label="Input video (grayscale)", interactive=True),
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# gr.Image(sources="upload", label="Reference image (color)")],
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# outputs=gr.Video(label="Output video (colorized)"),
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# title=cfg.TITLE,
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# description=cfg.DESCRIPTION,
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# allow_flagging='never'
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# )
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with gr.Blocks() as app:
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# Title
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gr.Markdown(cfg.CONTENT)
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# Video tab
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with gr.Tab("📹 Video"):
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with gr.Row():
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with gr.Column(scale=1):
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input_video_comp = gr.Video(format="mp4", sources="upload", label="Input video (grayscale)", interactive=True)
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ref_image_comp = gr.Image(sources="upload", label="Reference image (color)", height=300)
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with gr.Row():
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with gr.Column(scale=1):
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clear_btn = gr.ClearButton(value="Clear input", variant=['secondary'])
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clear_btn.add([input_video_comp, ref_image_comp])
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with gr.Column(scale=1):
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start_btn = gr.Button(value="Start!", variant=['primary'])
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with gr.Column(scale=1):
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output_video_comp = gr.Video(label="Output video (colorized)")
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with gr.Row():
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with gr.Column(scale=1):
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clear_output_btn = gr.ClearButton(value="Clear output", variant=['secondary'])
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clear_output_btn.add([output_video_comp])
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with gr.Column(scale=1):
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stop_btn = gr.Button(value="Stop!", variant=['stop'])
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start_event = start_btn.click(video_colorization, inputs=[input_video_comp, ref_image_comp], outputs=[output_video_comp])
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stop_btn.click(fn=None, cancels=[start_event])
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# Image tab
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with gr.Tab("🖼️ Image"):
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with gr.Row():
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with gr.Column(scale=1):
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input_image_comp = gr.Image(sources="upload", label="Input image (grayscale)", height=300)
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ref_image_comp = gr.Image(sources="upload", label="Reference image (color)", height=300)
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with gr.Row():
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with gr.Column(scale=1):
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clear_input_btn = gr.ClearButton(value="Clear input", variant=['secondary'])
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clear_input_btn.add([input_image_comp, ref_image_comp])
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with gr.Column(scale=1):
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start_btn = gr.Button(value="Start!", variant=['primary'])
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with gr.Column(scale=1):
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output_image_comp = gr.Image(label="Output image (colorized)", height=300)
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with gr.Row():
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with gr.Column():
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clear_output_btn = gr.ClearButton(value="Clear output", variant=['secondary'])
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clear_output_btn.add([output_image_comp])
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with gr.Column():
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stop_btn = gr.Button(value="Stop!", variant=['stop'])
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start_event = start_btn.click(image_colorization, inputs=[input_image_comp, ref_image_comp], outputs=[output_image_comp])
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stop_btn.click(fn=None, cancels=[start_event])
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gr.Markdown(cfg.APPENDIX)
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app.launch(auth=('admin', 'admin'))
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