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Update app.py
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app.py
CHANGED
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@@ -30,9 +30,6 @@ def parse_color(color_str):
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raise ValueError(f"Invalid color format: {color_str}. Use hex like '#ff0000', color name like 'red', or rgba format.")
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def apply_mask(image: Image.Image, prompt: str, color: str) -> Image.Image:
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# Convert image to RGBA
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image_np = np.array(image.convert("RGBA"))
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# Process the input image and prompt
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inputs = processor(text=prompt, images=image, return_tensors="pt")
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outputs = model(**inputs)
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@@ -40,14 +37,14 @@ def apply_mask(image: Image.Image, prompt: str, color: str) -> Image.Image:
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# Get the binary mask from predictions
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mask = preds.sigmoid().detach().cpu().numpy()
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mask =
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mask = cv2.GaussianBlur(mask, (15, 15), 0)
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mask_bin = (mask > 0.4).astype(np.uint8)
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# Resize mask to match image size
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mask_3d = np.stack([
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# Convert the color string to an RGB tuple
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color_rgb = parse_color(color)
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@@ -56,11 +53,7 @@ def apply_mask(image: Image.Image, prompt: str, color: str) -> Image.Image:
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# Create an overlay with the selected color
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overlay = np.zeros_like(image_np, dtype=np.uint8)
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overlay[:] = overlay_color
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masked_image = image_np.copy()
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# masked_image[mask_bin == 1] = (
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# 0.5 * masked_image[mask_bin == 1] + 0.5 * overlay[mask_bin == 1]).astype(np.units)
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# Apply the mask to the image
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masked_image = np.where(mask_3d == 1, overlay, image_np)
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return Image.fromarray(masked_image)
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@@ -78,4 +71,4 @@ iface = gr.Interface(
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description="Upload an image, input a prompt (e.g., 'person', 'sky'), and pick a mask color."
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)
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iface.launch()
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raise ValueError(f"Invalid color format: {color_str}. Use hex like '#ff0000', color name like 'red', or rgba format.")
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def apply_mask(image: Image.Image, prompt: str, color: str) -> Image.Image:
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# Process the input image and prompt
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inputs = processor(text=prompt, images=image, return_tensors="pt")
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outputs = model(**inputs)
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# Get the binary mask from predictions
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mask = preds.sigmoid().detach().cpu().numpy()
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mask = (mask > 0.5).astype(np.uint8)
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# Convert image to RGBA
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image_np = np.array(image.convert("RGBA"))
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# Resize mask to match image size
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mask_resized = cv2.resize(mask, (image_np.shape[1], image_np.shape[0]))
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mask_3d = np.stack([mask_resized] * 4, axis=-1) # Extend mask to 3D
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# Convert the color string to an RGB tuple
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color_rgb = parse_color(color)
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# Create an overlay with the selected color
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overlay = np.zeros_like(image_np, dtype=np.uint8)
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overlay[:] = overlay_color
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# Apply the mask to the image
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masked_image = np.where(mask_3d == 1, overlay, image_np)
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return Image.fromarray(masked_image)
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description="Upload an image, input a prompt (e.g., 'person', 'sky'), and pick a mask color."
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)
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iface.launch()
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