Update app.py

app.py

@@ -22,7 +22,7 @@ def crop_image(image, crop_top_percentage, crop_bottom_percentage):
 
     return cropped_image
 
-def resize_and_overlay_image(input_image, reduction_percentage, shift_pixels, shift_pixels_ud, background_color, crop_top_percentage, crop_bottom_percentage):
+def resize_and_overlay_image(input_image, reduction_percentage, shift_percentage_lr, shift_percentage_ud, background_color, crop_top_percentage, crop_bottom_percentage):
     # Check if the input image is empty
     if input_image.size == 0:
         return None
@@ -43,6 +43,10 @@ def resize_and_overlay_image(input_image, reduction_percentage, shift_pixels, sh
     new_height = int(height * reduction_percentage / 100)
     new_width = int(width * reduction_percentage / 100)
 
+    # Calculate the shift values as a percentage of the image dimensions
+    shift_x = int(width * shift_percentage_lr / 100)
+    shift_y = int(height * shift_percentage_ud / 100)
+
     # Resize the cropped image
     resized_img = cv2.resize(cropped_img, (new_width, new_height))
 
@@ -53,8 +57,8 @@ def resize_and_overlay_image(input_image, reduction_percentage, shift_pixels, sh
     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)
+    x = int((width - new_width) / 2) + shift_x
+    y = int((height - new_height) / 2) + shift_y
 
     # Overlay the resized image on the background image
     background_img[y:y + new_height, x:x + new_width] = resized_img
@@ -68,20 +72,19 @@ iface = gr.Interface(
     inputs=[
         gr.inputs.Image(type="pil", label="Input Image"),
         gr.inputs.Slider(minimum=0, maximum=100, step=10, default=80, label="Percentage of Original"),
-        gr.inputs.Slider(minimum=-150, maximum=150, step=10, default=0, label="Shift Pixels Left / Right"),
-        gr.inputs.Slider(minimum=-150, maximum=250, step=10, default=0, label="Shift Pixels Up / Down"),
+        gr.inputs.Slider(minimum=-50, maximum=50, step=10, default=0, label="Shift Left / Right (%)"),
+        gr.inputs.Slider(minimum=-50, maximum=50, step=10, default=0, label="Shift Up / Down (%)"),
         gr.inputs.Textbox(default="#ffffff", label="Background Color (Hex Code)"),
-        gr.inputs.Slider(minimum=0, maximum=100, step=5, default=0, label="Crop Top (%)"),
-        gr.inputs.Slider(minimum=0, maximum=100, step=5, default=0, label="Crop Bottom (%)")
+        gr.inputs.Slider(minimum=0, maximum=100, step=10, default=0, label="Crop Top (%)"),
+        gr.inputs.Slider(minimum=0, maximum=100, step=10, default=0, label="Crop Bottom (%)")
     ],
     outputs=[
         gr.outputs.Image(type="numpy", label="Result"),
         gr.outputs.Textbox(label="Image Info")
     ],
     title="Image Resizer",
-    description="Crop the input image, overlay it on a new background of the specified color, shift it, and resize it as a percentage."
+    description="Crop the input image, overlay it on a new background of the specified color, shift it as a percentage, and resize it as a percentage."
 )
 
 if __name__ == "__main__":
     iface.launch()
-