first commit

2026-06-25 17:41:06 +08:00
commit b2f23a933b
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+from PIL import Image, ImageEnhance, ImageFilter
+
+def convert_png_to_ico(png_path, ico_path, sizes=None, resample=Image.LANCZOS, sharpen=False):
+    """
+    将PNG图片转换为ICO图标文件，同时优化圆角效果
+    
+    参数:
+    - png_path: 输入PNG文件路径
+    - ico_path: 输出ICO文件路径
+    - sizes: 图标尺寸列表
+    - resample: 重采样方法，默认为Image.LANCZOS
+    - sharpen: 是否应用锐化滤镜
+    """
+    if sizes is None:
+        sizes = [(16, 16), (32, 32), (48, 48), (64, 64), (256, 256)]
+    
+    try:
+        with Image.open(png_path) as img:
+            # 确保图片为RGBA模式
+            if img.mode != 'RGBA':
+                img = img.convert('RGBA')
+            
+            # 检查是否有透明通道
+            has_transparency = False
+            if img.mode == 'RGBA':
+                alpha = img.getchannel('A')
+                if alpha.getextrema()[0] < 255:
+                    has_transparency = True
+            
+            # 为每个尺寸创建单独的图像
+            icon_sizes = []
+            for size in sizes:
+                # 调整图片尺寸
+                if size[0] < img.size[0] or size[1] < img.size[1]:
+                    # 缩小图片时使用高质量重采样算法
+                    resized_img = img.resize(size, resample=resample)
+                else:
+                    # 放大图片时使用NEAREST算法避免模糊（适用于需要清晰边缘的情况）
+                    resized_img = img.resize(size, resample=Image.NEAREST)
+                
+                # 应用锐化滤镜（可选）
+                if sharpen:
+                    enhancer = ImageEnhance.Sharpness(resized_img)
+                    resized_img = enhancer.enhance(1.5)  # 增强锐度
+                
+                icon_sizes.append(resized_img)
+            
+            # 保存为ICO文件
+            if len(icon_sizes) > 0:
+                # 使用第一个尺寸作为主图标
+                icon_sizes[0].save(
+                    ico_path, 
+                    format='ICO', 
+                    sizes=[(img.size[0], img.size[1]) for img in icon_sizes]
+                )
+                print(f"成功将 {png_path} 转换为 {ico_path}")
+                print(f"包含尺寸: {sizes}")
+                if has_transparency:
+                    print("注意：已保留图片的透明通道（圆角效果）")
+                else:
+                    print("图片没有检测到透明通道（可能没有圆角效果）")
+            else:
+                print("错误：未指定有效尺寸")
+                
+    except Exception as e:
+        print(f"转换失败: {e}")
+
+if __name__ == "__main__":
+    # 输入和输出文件路径
+    png_path = 'app.png'
+    ico_path = 'favicon.ico'
+    
+    # 调用函数进行转换，禁用锐化处理
+    convert_png_to_ico(png_path, ico_path, sizes=[(256, 256)], sharpen=False)