{"id":1060,"date":"2026-06-13T18:24:49","date_gmt":"2026-06-13T18:24:49","guid":{"rendered":"https:\/\/blog.nimail.cn\/?p=1060"},"modified":"2026-06-13T18:24:49","modified_gmt":"2026-06-13T18:24:49","slug":"%e6%89%8b%e6%9c%ba%e5%8e%8b%e7%bc%a9%e5%9b%be%e7%89%87%e5%a4%aa%e9%ba%bb%e7%83%a6-%e5%9c%a8%e7%ba%bf%e5%85%8d%e8%b4%b9%e5%8e%8b%e7%bc%a9%e6%90%9e%e5%ae%9a%e5%a4%a7%e5%9b%be","status":"publish","type":"post","link":"https:\/\/blog.nimail.cn\/best-articles\/%e6%89%8b%e6%9c%ba%e5%8e%8b%e7%bc%a9%e5%9b%be%e7%89%87%e5%a4%aa%e9%ba%bb%e7%83%a6-%e5%9c%a8%e7%ba%bf%e5%85%8d%e8%b4%b9%e5%8e%8b%e7%bc%a9%e6%90%9e%e5%ae%9a%e5%a4%a7%e5%9b%be\/","title":{"rendered":"\u624b\u673a\u538b\u7f29\u56fe\u7247\u592a\u9ebb\u70e6\uff1f\u5728\u7ebf\u514d\u8d39\u538b\u7f29\u641e\u5b9a\u5927\u56fe"},"content":{"rendered":"
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\ud83d\udca1 \u5f00\u53d1\u8005\u63d0\u793a\uff1a<\/strong>\u5f88\u591a\u7528\u6237\u8bef\u4ee5\u4e3a\u201c\u538b\u7f29=\u53d8\u7cca\u201d\u3002\u5176\u5b9e\u73b0\u4ee3\u56fe\u50cf\u5728\u7ebf\u538b\u7f29<\/strong>\u6280\u672f\u65e9\u5df2\u533a\u5206\u4e86\u6709\u635f\u4e0e\u65e0\u635f\u7b56\u7565\u3002\u9488\u5bf9JPG\uff0c\u6211\u4eec\u901a\u5e38\u8c03\u4f4e\u8272\u5ea6\u5b50\u91c7\u6837\uff08Chroma Subsampling\uff09\uff1b\u9488\u5bf9PNG\uff0c\u5219\u4f9d\u8d56Zlib\u5c42\u7ea7\u4f18\u5316\u4e0e\u8c03\u8272\u677f\u7cbe\u7b80\u3002\u4e24\u8005\u7ed3\u5408\uff0c\u56fe\u7247\u7626\u8eab<\/strong>\u6548\u679c\u7acb\u7aff\u89c1\u5f71\uff0c\u4e14\u8089\u773c\u51e0\u4e4e\u65e0\u6cd5\u5bdf\u89c9\u5dee\u5f02\u3002<\/div>\n

\u4e3b\u6d41\u5904\u7406\u65b9\u6848\u5bf9\u6bd4\u901f\u89c8<\/h3>\n
\n\n\n\n\n\n\n\n
\u5904\u7406\u65b9\u5f0f<\/th>\n\u9002\u7528\u573a\u666f<\/th>\n\u4f53\u79ef\u7f29\u51cf\u7387<\/th>\n\u6e05\u6670\u5ea6\u4fdd\u7559<\/th>\n<\/tr>\n<\/thead>\n
\u5728\u7ebfWeb\u7aef<\/span><\/td>\n\u5355\u5f20\u6216\u5c11\u91cf
\u56fe\u7247\u514d\u8d39\u538b\u7f29\u5728\u7ebf<\/strong><\/td>\n		30%~70%<\/td>\n\u4f18\u79c0\uff08\u8089\u773c\u96be\u8fa8\uff09<\/td>\n<\/tr>\n
\u672c\u5730\u811a\u672c<\/span><\/td>\n\u6279\u91cf\u56fe\u7247\u538b\u7f29<\/strong>
\u81ea\u52a8\u5316\u6d41\u6c34\u7ebf<\/td>\n		40%~85%<\/td>\n\u53ef\u63a7\uff08\u53c2\u6570\u81ea\u5b9a\u4e49\uff09<\/td>\n<\/tr>\n
\u4e13\u7528\u5ba2\u6237\u7aef<\/span><\/td>\n\u9ad8\u9891\u529e\u516c
\u7167\u7247\u538b\u7f29\u5de5\u5177<\/strong><\/td>\n		20%~60%<\/td>\n\u826f\u597d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

\u7528\u4ee3\u7801\u8bf4\u8bdd\uff1a\u5982\u4f55\u5b9e\u73b0\u7a33\u5b9a\u8f93\u51fa\uff1f<\/h2>\n

\u5149\u9760\u70b9\u51fb\u6309\u94ae\u89e3\u51b3\u4e0d\u4e86\u590d\u6742\u9700\u6c42\u3002\u5f53\u9762\u5bf9\u6210\u767e\u4e0a\u5343\u5f20\u6d77\u62a5\u6216\u5546\u54c1\u56fe\u65f6\uff0c\u600e\u6837\u538b\u7f29\u56fe\u7247\u5927\u5c0f<\/strong>\u5fc5\u987b\u4ea4\u7ed9\u811a\u672c\u3002\u4e0b\u9762\u8fd9\u6bb5\u57fa\u4e8e Python \u7684 Pillow \u5e93\u4ee3\u7801\uff0c\u6f14\u793a\u4e86\u5982\u4f55\u901a\u8fc7\u5faa\u73af\u8fed\u4ee3\u5b8c\u6210jpg\u56fe\u7247\u538b\u7f29<\/strong>\u4e0e\u8d28\u91cf\u9608\u503c\u63a7\u5236\u3002\u4f60\u53ef\u4ee5\u76f4\u63a5\u8dd1\u5728\u672c\u5730\u73af\u5883\uff0c\u914d\u5408\u57fa\u7840\u6587\u4ef6\u8def\u5f84\u64cd\u4f5c\u5c31\u80fd\u5b9e\u73b0\u5168\u81ea\u52a8\u6d41\u6c34\u7ebf\u4f5c\u4e1a\u3002<\/p>\n

\n
\n
import os\nfrom PIL import Image\n\ndef compress_batch(input_dir, output_dir, quality=75):\n    os.makedirs(output_dir, exist_ok=True)\n    for filename in os.listdir(input_dir):\n        if filename.lower().endswith(('.png', '.jpg', '.jpeg')):\n            img = Image.open(os.path.join(input_dir, filename))\n            # \u5f3a\u5236\u8f6c\u4e3aRGB\u6a21\u5f0f\uff0c\u907f\u514d\u900f\u660e\u901a\u9053\u5e72\u6270\u538b\u7f29\u8ba1\u7b97\n            if img.mode == 'RGBA':\n                img = img.convert('RGB')\n            out_path = os.path.join(output_dir, f\"compressed_{filename}\")\n            # optimize=True \u5f00\u542f\u970d\u592b\u66fc\u6811\u91cd\u7b97\uff0c\u5927\u5e45\u524a\u51cf\u5197\u4f59\u5b57\u8282\n            img.save(out_path, \"JPEG\", quality=quality, optimize=True)\n            print(f\"[Done] {filename} -> {out_path}\")\n\n# \u8c03\u7528\u793a\u4f8b\uff1a\u5c06\u5f53\u524d\u6587\u4ef6\u5939\u4e0b\u7684\u539f\u56fe\u538b\u7f29\u5e76\u8f93\u51fa\u5230output_img\u76ee\u5f55\ncompress_batch('.\/raw_images', '.\/output_img', quality=80)<\/code><\/pre>\n<\/div>\n<\/div>\n
\u6ce8\u610f\u4ee3\u7801\u4e2d\u7684 optimize=True<\/code> \u53c2\u6570\uff0c\u5b83\u662f\u964d\u4f4e\u6587\u4ef6\u4f53\u79ef\u7684\u5173\u952e\u5f00\u5173\u3002\u5bf9\u4e8epng\u538b\u7f29\u5728\u7ebf<\/strong>\u903b\u8f91\u800c\u8a00\uff0c\u8fd9\u4e00\u6b65\u4f1a\u91cd\u65b0\u8ba1\u7b97\u7f16\u7801\u8868\uff0c\u901a\u5e38\u80fd\u989d\u5916\u69a8\u5e7215%\u5de6\u53f3\u7684\u5197\u4f59\u7a7a\u95f4\u3002\u5982\u679c\u4f60\u9700\u8981\u7cbe\u51c6\u63a7\u5236\u8f93\u51fa\u76ee\u6807\uff0c\u6bd4\u5982\u56fe\u7247\u538b\u7f29\u5728\u7ebf\u514d\u8d39\u6307\u5b9a\u5927\u5c0f<\/strong>\u4e3a500KB\u4ee5\u5185\uff0c\u53ea\u9700\u5728\u4fdd\u5b58\u524d\u52a0\u5165\u52a8\u6001\u5b57\u8282\u6821\u9a8c\u5faa\u73af\uff0c\u6839\u636e\u5b9e\u65f6\u6587\u4ef6\u5927\u5c0f\u53cd\u5411\u8c03\u8282 quality \u53c2\u6570\u5373\u53ef\u3002<\/p>\n
\u907f\u5f00\u9677\u9631\uff1a\u50cf\u7d20\u538b\u7f29\u4e0e\u753b\u8d28\u5e73\u8861\u672f<\/h2>\n
\u5f88\u591a\u65b0\u624b\u4e00\u4e0a\u6765\u5c31\u72c2\u62c9\u5206\u8fa8\u7387\u6ed1\u5757\uff0c\u7ed3\u679c\u6587\u5b57\u8fb9\u7f18\u53d1\u865a\u3001\u4eba\u8138\u7ec6\u8282\u4e22\u5931\u3002\u771f\u6b63\u7684\u56fe\u7247\u7f29\u5c0f\u5c3a\u5bf8\u4fdd\u6301\u6e05\u6670<\/strong>\uff0c\u6838\u5fc3\u5728\u4e8e\u50cf\u7d20\u538b\u7f29<\/strong>\u4e0e\u753b\u8d28\u538b\u7f29<\/strong>\u7684\u534f\u540c\u3002\u5efa\u8bae\u4f18\u5148\u91c7\u7528\u7b49\u6bd4\u4f8b\u7f29\u653e\uff0c\u518d\u8f85\u4ee5\u91cf\u5316\u8868\u5fae\u8c03\u3002\u9047\u5230\u8bc1\u4ef6\u7167\u6216\u5408\u540c\u626b\u63cf\u4ef6\u7b49\u7279\u6b8a\u573a\u666f\uff0c\u52a1\u5fc5\u5f00\u542f\u65e0\u635f\u538b\u7f29\u56fe\u7247<\/strong>\u6a21\u5f0f\uff0c\u4ec5\u5265\u79bb\u9690\u85cf\u4fe1\u606f\u800c\u4e0d\u89e6\u78b0\u89c6\u89c9\u6570\u636e\u3002\u6df7\u5408\u4f7f\u7528\u4e0d\u540c\u7b56\u7565\uff0c\u624d\u80fd\u6700\u5927\u5316\u53d1\u6325\u56fe\u7247\u5185\u5b58\u592a\u5927\u600e\u4e48\u53d8\u5c0f<\/strong>\u7684\u6548\u7387\u3002<\/p>\n
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\u907f\u5751<\/span>\u76f2\u76ee\u964d\u5206\u8fa8\u7387<\/h5>\n
\u5f3a\u884c\u6539\u4e3a\u56fa\u5b9a\u50cf\u7d20\u4f1a\u5bfc\u81f4\u957f\u5bbd\u6bd4\u5931\u8c03\uff0c\u6392\u7248\u9519\u4e71\u3002\u5e94\u5148\u9501\u5b9a\u539f\u59cb\u6bd4\u4f8b\uff0c\u518d\u6574\u4f53\u7f29\u5bb9\u8f93\u51fa\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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\u63a8\u8350<\/span>\u6309\u9700\u9009\u683c\u5f0f<\/h5>\n
\u6444\u5f71\u7c7b\u8d70JPG\u8def\u7ebf\uff0cUI\u56fe\u6807\u4e0e\u900f\u660e\u5e95\u8d70PNG\u3002\u9488\u5bf9\u6027\u9009\u62e9\u683c\u5f0f\uff0c\u80fd\u8ba9\u56fe\u50cf\u538b\u7f29<\/strong>\u6548\u7387\u7ffb\u500d\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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