Update app.py
Browse files
app.py
CHANGED
@@ -26,26 +26,27 @@ transform_image = transforms.Compose(
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@spaces.GPU
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def fn(vid):
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# Load the video using moviepy
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video = mp.VideoFileClip(vid)
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# Extract audio from the video
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audio = video.audio
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# Extract frames at
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frames = video.iter_frames(fps=
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# Process each frame for background removal
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processed_frames = []
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for frame in frames:
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pil_image = Image.fromarray(frame)
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processed_image = process(pil_image)
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processed_frames.append(np.array(processed_image))
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# Create a new video from the processed frames
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processed_video = mp.ImageSequenceClip(processed_frames, fps=
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# Add the original audio back to the processed video
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processed_video = processed_video.set_audio(audio)
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@@ -61,7 +62,7 @@ def fn(vid):
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return temp_filepath
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def process(image):
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image_size = image.size
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input_images = transform_image(image).unsqueeze(0).to("cuda")
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# Prediction
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@@ -71,32 +72,37 @@ def process(image):
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pred_pil = transforms.ToPILImage()(pred)
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mask = pred_pil.resize(image_size)
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#
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# Composite the image onto the
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image = Image.composite(image,
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return image
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def process_file(f):
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name_path = f.rsplit(".", 1)[0] + ".png"
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im = load_img(f, output_type="pil")
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im = im.convert("RGB")
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transparent = process(im)
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transparent.save(name_path)
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return name_path
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)
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if __name__ == "__main__":
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demo.launch(show_error=True)
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]
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)
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@spaces.GPU
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def fn(vid, fps, color):
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# Load the video using moviepy
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video = mp.VideoFileClip(vid)
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# Extract audio from the video
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audio = video.audio
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# Extract frames at the specified FPS
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frames = video.iter_frames(fps=fps)
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# Process each frame for background removal
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processed_frames = []
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for frame in frames:
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pil_image = Image.fromarray(frame)
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processed_image = process(pil_image, color)
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processed_frames.append(np.array(processed_image))
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# Create a new video from the processed frames
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processed_video = mp.ImageSequenceClip(processed_frames, fps=fps)
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# Add the original audio back to the processed video
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processed_video = processed_video.set_audio(audio)
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return temp_filepath
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def process(image, color_hex):
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image_size = image.size
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input_images = transform_image(image).unsqueeze(0).to("cuda")
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# Prediction
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pred_pil = transforms.ToPILImage()(pred)
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mask = pred_pil.resize(image_size)
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# Convert hex color to RGB tuple
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color_rgb = tuple(int(color_hex[i : i + 2], 16) for i in (1, 3, 5))
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# Create a background image with the chosen color
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background = Image.new("RGBA", image_size, color_rgb + (255,))
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# Composite the image onto the background using the mask
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image = Image.composite(image, background, mask)
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return image
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def process_file(f, color="#00FF00"):
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name_path = f.rsplit(".", 1)[0] + ".png"
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im = load_img(f, output_type="pil")
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im = im.convert("RGB")
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transparent = process(im, color)
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transparent.save(name_path)
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return name_path
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with gr.Blocks() as demo:
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in_video = gr.Video(label="birefnet")
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out_video = gr.Video()
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fps_slider = gr.Slider(minimum=1, maximum=60, step=1, value=12, label="Output FPS")
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color_picker = gr.ColorPicker(label="Background Color", value="#00FF00")
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submit_button = gr.Button("Process Video")
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submit_button.click(
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fn, inputs=[in_video, fps_slider, color_picker], outputs=out_video
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)
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if __name__ == "__main__":
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demo.launch(show_error=True)
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