Duplicate from 155elkhorn/resize_color

.gitattributes

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README.md

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+---
+title: Resize
+emoji: 🐨
+colorFrom: yellow
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.36.1
+app_file: app.py
+pinned: false
+duplicated_from: 155elkhorn/resize_color
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import cv2
+import numpy as np
+from PIL import Image
+
+def hex_to_rgb(hex_code):
+    # Remove the '#' symbol if present
+    hex_code = hex_code.lstrip('#')
+    
+    # Convert the hex code to RGB
+    return tuple(int(hex_code[i:i+2], 16) for i in (0, 2, 4))
+
+def resize_and_overlay_image(input_image, reduction_percentage, shift_pixels, shift_pixels_ud, background_color):
+    # Check if the input image is empty
+    if input_image.size == 0:
+        return None
+
+    img = np.array(input_image)
+
+    # Check if the image has shape information
+    if img.ndim < 2:
+        return None
+
+    # Get the image dimensions
+    height, width = img.shape[:2]
+
+    # Calculate the new dimensions based on the reduction percentage
+    new_height = int(height * reduction_percentage / 100)
+    new_width = int(width * reduction_percentage / 100)
+
+    # Resize the image
+    resized_img = cv2.resize(img, (new_width, new_height))
+
+    # Convert the hex code to RGB
+    background_rgb = hex_to_rgb(background_color)
+
+    # Create a background image with the original image dimensions and specified color
+    background_img = np.ones((height, width, 3), dtype=np.uint8) * background_rgb
+
+    # Calculate the position to overlay the resized image on the background image
+    x = int((width - new_width) / 2) + int(shift_pixels)
+    y = int((height - new_height) / 2) + int(shift_pixels_ud)
+
+    # Overlay the resized image on the background image
+    background_img[y:y + new_height, x:x + new_width] = resized_img
+
+    # Return the resulting image as a NumPy array
+    return background_img
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=resize_and_overlay_image,
+    inputs=[
+        gr.inputs.Image(type="pil", label="Input Image"),
+        gr.inputs.Slider(minimum=1, maximum=100, step=1, default=80, label="Percentage of Original"),
+        gr.inputs.Slider(minimum=-100, maximum=100, step=10, default=0, label="Shift Pixels Left / Right"),
+        gr.inputs.Slider(minimum=-100, maximum=100, step=10, default=0, label="Shift Pixels Up / Down"),
+        gr.inputs.Textbox(default="#f1f1f1", label="Background Color (Hex Code)")
+    ],
+    outputs=gr.outputs.Image(type="numpy", label="Result"),
+    title="Image Resizer",
+    description="Reduce the size of an image and overlay it on a colored background and shift it to the right."
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+gradio
+opencv-python
+numpy