Update app.py

app.py

@@ -47,6 +47,10 @@ def resize_and_overlay_image(input_image, reduction_percentage, shift_percentage
     shift_x = int(width * shift_percentage_lr / 100)
     shift_y = int(height * shift_percentage_ud / 100)
 
+    # Create a new background image with the same dimensions as the input image and specified color
+    background_rgb = hex_to_rgb(background_color)
+    background_img = np.ones_like(img) * background_rgb
+
     # Resize the cropped image while maintaining aspect ratio
     aspect_ratio = width / height
     if new_width / new_height > aspect_ratio:
@@ -57,13 +61,9 @@ def resize_and_overlay_image(input_image, reduction_percentage, shift_percentage
         resized_height = int(new_width / aspect_ratio)
     resized_img = cv2.resize(cropped_img, (resized_width, resized_height))
 
-    # Create a new background image with the original image dimensions and specified color
-    background_rgb = hex_to_rgb(background_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 - resized_width) / 2) + shift_x
-    y = shift_y
+    y = int((height - resized_height) / 2) + shift_y
 
     # Overlay the resized image on the background image
     background_img[y:y + resized_height, x:x + resized_width] = resized_img