Refactoring: Project structure, sprite stairs & fog masks rendering fix

scripts/opencv_analyze_tiles.py

@@ -0,0 +1,56 @@
+import cv2
+import numpy as np
+
+def main():
+    img = cv2.imread('hello_iso_gb.png')
+    if img is None:
+        print("Error: Could not load hello_iso_gb.png")
+        return
+        
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    h, w = gray.shape
+    
+    # Create a markup copy of the image
+    markup = img.copy()
+    
+    # We want to detect the rendering glitches (black V-shapes or gaps cutting into the floor tiles)
+    # The floor tiles are White (255) and Light Gray (153) with Dark Gray (85) lines.
+    # The empty background is Black (0).
+    # Inside the walkable path, any Black (0) pixel that is surrounded by floor tile colors
+    # represents a cutout glitch.
+    # Let's use morphological operations to find these black cutouts inside the tiles.
+    
+    # Threshold to find floor tiles (value > 50, so anything not black)
+    _, floor_mask = cv2.threshold(gray, 50, 255, cv2.THRESH_BINARY)
+    
+    # Invert to find black pixels
+    black_mask = cv2.bitwise_not(floor_mask)
+    
+    # Find contours of the black regions
+    contours, _ = cv2.findContours(black_mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
+    
+    glitch_count = 0
+    for cnt in contours:
+        x, y, rw, rh = cv2.boundingRect(cnt)
+        
+        # The screen border is black, so we ignore black regions touching the screen boundaries
+        if x <= 2 or y <= 2 or (x + rw) >= w - 2 or (y + rh) >= h - 2:
+            continue
+            
+        # Glitches are small black gaps/triangles. Typically small (e.g. area between 4 and 40 pixels)
+        area = cv2.contourArea(cnt)
+        if 2 <= area <= 50:
+            # Check if it's inside the checkerboard area
+            # (which is roughly centered on the screen)
+            cv2.rectangle(markup, (x, y), (x + rw, y + rh), (0, 0, 255), 1) # Red box
+            glitch_count += 1
+            
+    print(f"Detected {glitch_count} rendering glitches (black cutouts/gaps) inside the floor map.")
+    
+    # Save the marked-up image to the artifacts directory
+    output_path = '/home/enne2/.gemini/antigravity-ide/brain/dd9e728a-93c4-49f8-90b6-3f72fcc47f04/analyzed_tiles.png'
+    cv2.imwrite(output_path, markup)
+    print(f"Saved analysis markup to: {output_path}")
+
+if __name__ == '__main__':
+    main()