working

correct_fgr.py

@@ -105,30 +105,29 @@ def process_foreground_correction(expanded_path, automatte_path, output_path):
     # Step 1: Alpha channel is already loaded from automatte
     alpha = automatte_img.copy()
     
-    # Step 2: Apply thresholding (white = anything >253, black otherwise)
-    thresholded_alpha = apply_threshold(alpha, threshold=253)
-    
-    # # DO NOT COMMIT: save alpha and exit
-    # cv2.imwrite("debug_alpha.png", alpha)
-    # import sys; sys.exit(0)
-    
+    # Step 2: Apply thresholding (white = anything >235, black otherwise)
+    thresholded_alpha = apply_threshold(alpha, threshold=235)
+
     # Step 3: Contract the alpha channel 1px
-    contracted_alpha = contract_alpha(thresholded_alpha, pixels=1)
+    # contracted_alpha = contract_alpha(thresholded_alpha, pixels=0)
+    contracted_alpha = thresholded_alpha
     
-    # # DO NOT COMMIT: save alpha and exit
-    # cv2.imwrite("debug_contracted_alpha.png", alpha)
-    # import sys; sys.exit(0)
-
     # Step 4: Invert selection
     selection_mask = invert_selection(contracted_alpha)
 
+    # Step 5: Apply minimum filter to RGB image using the selection mask
+    filtered_rgb = apply_minimum_filter_to_rgb(expanded_img, selection_mask, radius=2)
+    
     # # DO NOT COMMIT: save alpha and exit
-    # cv2.imwrite("debug_inverted_alpha.png", selection_mask)
+    # cv2.imwrite("debug_expanded.png", expanded_img)
+    # cv2.imwrite("debug_automatte.png", automatte_img)
+    # cv2.imwrite("debug_alpha.png", alpha)
+    # cv2.imwrite("debug_thresholded_alpha.png", thresholded_alpha)
+    # cv2.imwrite("debug_contracted_alpha.png", contracted_alpha)
+    # cv2.imwrite("debug_selection_mask.png", selection_mask)
+    # cv2.imwrite("debug_filtered_rgb.png", filtered_rgb)
     # import sys; sys.exit(0)
     
-    # Step 5: Apply minimum filter to RGB image using the selection mask
-    filtered_rgb = apply_minimum_filter_to_rgb(expanded_img, selection_mask, radius=4)
-    
     # Apply the original contracted alpha (before inversion) to the filtered RGB image
     # Convert to RGBA
     expanded_rgba = cv2.cvtColor(filtered_rgb, cv2.COLOR_BGR2BGRA)
@@ -157,6 +156,9 @@ def find_matching_pairs():
     expanded_pattern = os.path.join(expanded_base, "*", "*.png")
     expanded_files = glob.glob(expanded_pattern)
     
+    # Sort the expanded files to ensure consistent processing order
+    expanded_files.sort()
+    
     for expanded_path in expanded_files:
         # Extract relative path from expanded base
         rel_path = os.path.relpath(expanded_path, expanded_base)