SESSION SAVE: Jan 21 UI Fixes & Transparency Restoration. Updated Bible & Diaries.

restore_and_fix_final.py

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+
+import os
+import numpy as np
+from PIL import Image
+
+# MAPPING
+file_map = {
+    "uploaded_image_0_1768959247545.png": ("gumb_start.png", (300, 100)),
+    "uploaded_image_1_1768959247545.png": ("merilec_zdravja.png", (150, 150)),
+    "uploaded_image_2_1768959247545.png": ("okvir_zarjavel.png", (800, 250)),
+    "uploaded_image_3_1768959247545.jpg": ("amnezija_maska.png", (1920, 1080))
+}
+
+upload_dir = "/Users/davidkotnik/.gemini/antigravity/brain/998d0b10-1733-4e5b-85ed-249b986ba9b3"
+dest_dir = "/Users/davidkotnik/repos/novafarma/assets/slike/NOVE_SLIKE/UI"
+
+if not os.path.exists(dest_dir):
+    os.makedirs(dest_dir)
+
+def clean_checkerboard(img):
+    # Ensure RGBA
+    img = img.convert("RGBA")
+    data = np.array(img)
+    
+    r, g, b = data[:,:,0], data[:,:,1], data[:,:,2]
+    
+    # 1. White Squares (Approx 240-255)
+    mask_white = (r > 220) & (g > 220) & (b > 220)
+    
+    # 2. Grey Squares (Approx 190-210 usually)
+    # Be careful not to kill the Rusty Frame's grey metal if it matches exactly.
+    # But usually checkerboard is very neutral grey (R=G=B).
+    # We enforce strict neutrality R=G=B tolerance.
+    
+    is_neutral = (np.abs(r.astype(int) - g.astype(int)) < 15) & \
+                 (np.abs(r.astype(int) - b.astype(int)) < 15)
+                 
+    is_grey_range = (r > 150) & (r < 220) 
+    
+    mask_grey = is_grey_range & is_neutral
+
+    # Combine
+    mask_to_remove = mask_white | mask_grey
+    
+    # Apply
+    data[mask_to_remove, 3] = 0
+    
+    return Image.fromarray(data)
+
+def process_single(upload_name, target_name, size):
+    src = os.path.join(upload_dir, upload_name)
+    dst = os.path.join(dest_dir, target_name)
+    
+    if not os.path.exists(src):
+        print(f"Skipping missing source: {src}")
+        return
+        
+    try:
+        img = Image.open(src)
+        
+        # Clean
+        cleaned = clean_checkerboard(img)
+        
+        # Resize
+        resized = cleaned.resize(size, Image.Resampling.LANCZOS)
+        
+        # Save
+        resized.save(dst)
+        print(f"Fixed & Saved: {dst}")
+        
+    except Exception as e:
+        print(f"Error on {target_name}: {e}")
+
+# Run
+for u_name, (t_name, size) in file_map.items():
+    process_single(u_name, t_name, size)