Commit
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c69515e
1
Parent(s):
1756164
Enhance image preprocessing in app.py with improved background handling and color conversion
Browse files- Added hex_to_rgb function to convert hex color strings to RGB tuples.
- Updated preprocess_image to handle RGBA images, perform background removal, resize content, and apply a solid background color.
- Improved error handling for background removal failures, ensuring user feedback on model availability.
app.py
CHANGED
@@ -105,19 +105,37 @@ def add_background(image, bg_color=(255, 255, 255)):
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return Image.alpha_composite(background, image)
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def preprocess_image(image, background_choice, foreground_ratio, backgroud_color):
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"""
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input image
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"""
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else:
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image = remove_background(image)
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if image is None:
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raise gr.Error("Background removal failed. Please check the input image and ensure the model file exists and is valid.")
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@spaces.GPU
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def gen_image(input_image, seed, scale, step):
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global pipeline, model, args
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return Image.alpha_composite(background, image)
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def hex_to_rgb(hex_color: str) -> tuple[int, int, int]:
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"""Converts a hex color string to an RGB tuple."""
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hex_color = hex_color.lstrip('#')
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return tuple(int(hex_color[i:i+2], 16) for i in (0, 2, 4))
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def preprocess_image(image, background_choice, foreground_ratio, backgroud_color):
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"""
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Preprocesses the input image by optionally removing the background, resizing,
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and adding a new solid background.
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Returns an RGB PIL Image.
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"""
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if image.mode != 'RGBA':
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image = image.convert('RGBA')
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if background_choice == "Auto Remove background":
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image = remove_background(image)
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if image is None:
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raise gr.Error("Background removal failed. Please check the input image and ensure the model file exists and is valid.")
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# Resize the content of the image
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image = do_resize_content(image, foreground_ratio)
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# Add a solid background color
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rgb_background = hex_to_rgb(backgroud_color)
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image_with_bg = add_background(image, rgb_background)
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# Convert to RGB and return
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return image_with_bg.convert("RGB")
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@spaces.GPU
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def gen_image(input_image, seed, scale, step):
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global pipeline, model, args
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