📦 Asset Cleanup: Consolidating new clean assets into 'NOVE_SLIKE', removing weird folder names, and setting up clean Start scene.

scripts/detect_duplicates_clean.py

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+import os
+import hashlib
+import sys
+
+# Define target directories in clean structure
+TARGET_DIRS = [
+    "assets/slike/animals",
+    "assets/slike/characters",
+    "assets/slike/environment",
+    "assets/slike/ui",
+    "assets/slike/items",
+    "assets/slike/biomes",
+    "assets/slike/intro"
+]
+
+def calculate_md5(filepath):
+    """Calculates MD5 hash of a file."""
+    hash_md5 = hashlib.md5()
+    try:
+        with open(filepath, "rb") as f:
+            for chunk in iter(lambda: f.read(4096), b""):
+                hash_md5.update(chunk)
+        return hash_md5.hexdigest()
+    except Exception as e:
+        print(f"Error reading {filepath}: {e}")
+        return None
+
+def find_duplicates():
+    print("🕵️‍♂️  STARTING DUPLICATE DETECTIVE...")
+    print("    Scanning folders for identical images...")
+    
+    seen_hashes = {} # {md5_hash: [list_of_filepaths]}
+    total_files = 0
+    
+    # 1. SCAN ALL FILES
+    root_base = os.getcwd()
+    
+    for relative_dir in TARGET_DIRS:
+        abs_dir = os.path.join(root_base, relative_dir)
+        if not os.path.exists(abs_dir):
+            continue
+            
+        for root, dirs, files in os.walk(abs_dir):
+            for file in files:
+                if file.startswith(".") or not file.lower().endswith(('.png', '.jpg', '.jpeg', '.webp')):
+                    continue
+                
+                filepath = os.path.join(root, file)
+                total_files += 1
+                
+                file_hash = calculate_md5(filepath)
+                if file_hash:
+                    if file_hash in seen_hashes:
+                        seen_hashes[file_hash].append(filepath)
+                    else:
+                        seen_hashes[file_hash] = [filepath]
+
+    # 2. REPORT DUPLICATES
+    duplicates_found = 0
+    print(f"\n✅ Scanned {total_files} files.")
+    
+    for file_hash, paths in seen_hashes.items():
+        if len(paths) > 1:
+            duplicates_found += 1
+            print(f"\n⚠️  DUPLICATE GROUP FOUND ({len(paths)} copies):")
+            for p in paths:
+                # Print relative path for cleaner output
+                rel_p = os.path.relpath(p, root_base)
+                print(f"   sc -> {rel_p}")
+
+    if duplicates_found == 0:
+        print("\n✨  Great! No identical duplicates found in scanned folders.")
+    else:
+        print(f"\n🚨  WARNING: Found {duplicates_found} groups of duplicate images!")
+        print("    Consider deleting the extras to save space and avoid confusion.")
+
+if __name__ == "__main__":
+    find_duplicates()