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compress_textures.py

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+#!/usr/bin/env python3
+"""
+批量压缩 Assets/Model 下的大尺寸 PNG 贴图
+将 4096x4096 缩小到 2048x2048，并优化文件大小
+"""
+import os
+from PIL import Image
+from pathlib import Path
+
+def compress_texture(filepath, max_size=2048):
+    """压缩单个贴图文件"""
+    try:
+        img = Image.open(filepath)
+        original_size = os.path.getsize(filepath)
+        
+        # 如果图片大于目标尺寸，缩放
+        if img.width > max_size or img.height > max_size:
+            img.thumbnail((max_size, max_size), Image.Resampling.LANCZOS)
+            print(f"  缩放: {img.width}x{img.height}")
+        
+        # 优化并保存
+        img.save(filepath, 'PNG', optimize=True, compress_level=9)
+        new_size = os.path.getsize(filepath)
+        
+        saved_mb = (original_size - new_size) / (1024 * 1024)
+        print(f"  节省: {saved_mb:.2f} MB ({original_size/(1024*1024):.2f} -> {new_size/(1024*1024):.2f} MB)")
+        return saved_mb
+    except Exception as e:
+        print(f"  错误: {e}")
+        return 0
+
+def main():
+    assets_path = Path("Assets/Model")
+    total_saved = 0
+    processed = 0
+    
+    # 查找所有超过 10MB 的 PNG 文件
+    for png_file in assets_path.rglob("*.png"):
+        file_size = png_file.stat().st_size
+        if file_size > 10 * 1024 * 1024:  # 10 MB
+            print(f"\n处理: {png_file.name}")
+            saved = compress_texture(str(png_file))
+            total_saved += saved
+            processed += 1
+    
+    print(f"\n完成! 处理了 {processed} 个文件，共节省 {total_saved:.2f} MB")
+
+if __name__ == "__main__":
+    main()