{"id":1071,"date":"2026-06-16T18:25:07","date_gmt":"2026-06-16T18:25:07","guid":{"rendered":"https:\/\/blog.nimail.cn\/?p=1071"},"modified":"2026-06-16T18:25:07","modified_gmt":"2026-06-16T18:25:07","slug":"%e5%a6%82%e4%bd%95%e8%a3%81%e5%89%aa%e5%9b%be%e7%89%87-%e8%bf%99%e6%ac%be%e5%9c%a8%e7%ba%bf%e5%85%8d%e8%b4%b9%e5%88%87%e5%9b%be%e5%b7%a5%e5%85%b7%e7%9c%9f%e7%9a%84%e5%a4%aa%e9%a6%99%e4%ba%86","status":"publish","type":"post","link":"https:\/\/blog.nimail.cn\/best-articles\/%e5%a6%82%e4%bd%95%e8%a3%81%e5%89%aa%e5%9b%be%e7%89%87-%e8%bf%99%e6%ac%be%e5%9c%a8%e7%ba%bf%e5%85%8d%e8%b4%b9%e5%88%87%e5%9b%be%e5%b7%a5%e5%85%b7%e7%9c%9f%e7%9a%84%e5%a4%aa%e9%a6%99%e4%ba%86\/","title":{"rendered":"\u5982\u4f55\u88c1\u526a\u56fe\u7247\uff1f\u8fd9\u6b3e\u5728\u7ebf\u514d\u8d39\u5207\u56fe\u5de5\u5177\u771f\u7684\u592a\u9999\u4e86"},"content":{"rendered":"

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\n \u5b83\u5b8c\u5168\u652f\u6301\u56fe\u7247\u88c1\u526a\u5728\u7ebf\u514d\u8d39<\/span>\u4f7f\u7528\uff0c\u62d6\u62fd\u8fdb\u53bb\u5c31\u80fd\u51fa\u539f\u56fe\u7247\u526a\u88c1\u9884\u89c8\u56fe<\/span>\uff0c\u5bf9UI\u8bbe\u8ba1\u5e08\u548c\u8fd0\u8425\u540c\u5b66\u7279\u522b\u53cb\u597d\u3002\u4e0d\u7ba1\u662f\u60f3\u505a\u4e2a\u5706\u5f62\u56fe\u7247\u88c1\u526a<\/span>\uff0c\u8fd8\u662f\u7528\u5185\u7f6e\u7684\u4e00\u5bf8\u7167\u7247\u5c3a\u5bf8\u751f\u6210\u5668<\/span>\u5feb\u901f\u6392\u7248\uff0c\u754c\u9762\u90fd\u6781\u7b80\u5230\u6ca1\u670b\u53cb\u3002\u5e95\u5c42\u7528\u7684\u662fWebGL\u52a0\u901f\u6e32\u67d3\uff0c\u54ea\u6015\u5bfc\u5165\u51e0\u5341MB\u7684\u539f\u56fe\uff0c\u7f29\u653e\u6ed1\u5757\u4e5f\u4f9d\u7136\u4e1d\u6ed1\u3002\n<\/div>\n

\u5f88\u591a\u65b0\u624b\u95ee\u600e\u4e48\u628a\u56fe\u5207\u6210\u7279\u5b9a\u6bd4\u4f8b\uff0c\u5176\u5b9e\u73b0\u5728\u7684\u56fe\u7247\u5207\u5272<\/span>\u903b\u8f91\u65e9\u5c31\u667a\u80fd\u5316\u4e86\u3002\u4f60\u53ea\u9700\u8981\u8f93\u5165\u76ee\u6807\u5bbd\u9ad8\u6bd4\uff0c\u7cfb\u7edf\u4f1a\u81ea\u52a8\u5e2e\u4f60\u9501\u6b7b\u6bd4\u4f8b\u8fdb\u884c\u56fe\u50cf\u88c1\u526a<\/span>\u3002\u5982\u679c\u9047\u5230\u8981\u56fe\u7247\u88c1\u526a\u6210\u4efb\u610f\u5f62\u72b6<\/b>\u7684\u9700\u6c42\uff0c\u76f4\u63a5\u5207\u6362\u6a21\u677f\u5c31\u884c\uff0c\u8fde\u5728\u7ebf\u5207\u56fe<\/b>\u7684\u5ef6\u8fdf\u90fd\u80fd\u63a7\u5236\u5728\u6beb\u79d2\u7ea7\u3002\u5bf9\u4e8e\u9700\u8981\u9891\u7e41\u526a\u8f91\u56fe\u7247<\/b>\u7684\u573a\u666f\uff0c\u8fd9\u79cd\u5373\u5f00\u5373\u7528\u7684\u4f53\u9a8c\u786e\u5b9e\u6bd4\u88c5\u63d2\u4ef6\u7701\u5fc3\u5f97\u591a\u3002\u5e73\u65f6\u5904\u7406\u7535\u5546\u4e3b\u56fe\u6216\u8005\u793e\u7fa4\u5934\u50cf\uff0c\u57fa\u672c\u4e0d\u7528\u79bb\u5f00\u5de5\u4f4d\uff0c\u76f4\u63a5\u5728\u6d4f\u89c8\u5668\u91cc\u5b8c\u6210\u5168\u5957\u7167\u7247\u526a\u88c1<\/b>\u64cd\u4f5c\u3002\u8272\u5f69\u7ba1\u7406\u8fd9\u5757\u4e5f\u505a\u5f97\u5f88\u7a33\uff0c\u9ed8\u8ba4\u8d70sRGB\u8272\u57df\uff0c\u5bfc\u51fa\u65f6\u4e0d\u4f1a\u53d1\u7070\u6216\u504f\u8272\u3002<\/p>\n

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from PIL import Image\nimport os\n\ndef batch_crop_and_resize(input_dir, output_dir, size=(800, 600)):\n    if not os.path.exists(output_dir):\n        os.makedirs(output_dir)\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            # \u4fdd\u6301\u6bd4\u4f8b\u5c45\u4e2d\u88c1\u526a\n            left = (img.width - size[0]) \/ 2\n            top = (img.height - size[1]) \/ 2\n            right = left + size[0]\n            bottom = top + size[1]\n            cropped_img = img.crop((left, top, right, bottom)).resize(size)\n            cropped_img.save(os.path.join(output_dir, filename))\n# \u8c03\u7528\u793a\u4f8b\uff1abatch_crop_and_resize('.\/raw', '.\/cropped')\n<\/code><\/pre>\n
\n
\n
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\u9664\u4e86\u529f\u80fd\u5f3a\u5927\uff0c\u7a33\u5b9a\u6027\u4e5f\u662f\u8003\u91cf\u91cd\u70b9\u3002\u5f88\u591a\u514d\u8d39\u7684\u56fe\u7247\u5728\u7ebf\u88c1\u526a<\/b>\u5e73\u53f0\u5728\u4e0a\u4f20\u5927\u6587\u4ef6\u65f6\u4f1a\u89e6\u53d1\u8de8\u57df\u9650\u5236\uff0c\u6216\u8005\u5bfc\u51fa\u65f6\u538b\u7f29\u7387\u8fc7\u9ad8\u5bfc\u81f4\u8272\u5f69\u65ad\u5c42\u3002\u6211\u6d4b\u8bd5\u8fc7\u51e0\u4e2a\u4e3b\u6d41\u65b9\u6848\uff0c\u53d1\u73b0\u53ea\u8981\u524d\u7aef\u91c7\u7528\u4e86\u975e\u963b\u585e\u5f0f\u5f02\u6b65\u4e0a\u4f20\uff0c\u540e\u7aef\u914d\u5408Nginx\u505a\u9759\u6001\u8d44\u6e90\u7f13\u5b58\uff0c\u6574\u4f53\u4f53\u9a8c\u4f1a\u63d0\u5347\u4e00\u4e2a\u6863\u6b21\u3002\u50cf\u90a3\u4e2a\u94fe\u63a5\u91cc\u7684\u5de5\u5177\uff0c\u5e95\u5c42\u7528\u4e86Canvas\u5b9e\u65f6\u6e32\u67d3\uff0c\u62d6\u52a8\u6ed1\u5757\u65f6\u4e0d\u4f1a\u5361\u987f\uff0c\u8fd9\u70b9\u975e\u5e38\u5173\u952e\u3002\u5e73\u65f6\u505a\u9879\u76ee\u5982\u679c\u78b0\u4e0a\u7d27\u6025\u7684\u56fe\u7247\u526a\u5207<\/b>\u4efb\u52a1\uff0c\u522b\u786c\u625b\uff0c\u76f4\u63a5\u4e0a\u73b0\u6210\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u628a\u65f6\u95f4\u7559\u7ed9\u67b6\u6784\u8bbe\u8ba1\u548c\u4e1a\u52a1\u903b\u8f91\uff0c\u8fd9\u624d\u662f\u8001\u9e1f\u7684\u505a\u4e8b\u8282\u594f\u3002<\/p>\n
\u6548\u7387\u5bf9\u6bd4\u4e0e\u9009\u578b\u5efa\u8bae<\/h3>\n\n\n\n\n\n\n\n
\u573a\u666f\u9700\u6c42<\/th>\n\u63a8\u8350\u65b9\u6848<\/th>\n\u4f18\u52bf\u8bf4\u660e<\/th>\n<\/tr>\n<\/thead>\n
\u5355\u56fe\u5feb\u901f\u8c03\u6574<\/td>\n\u56fe\u7247\u88c1\u526a\u5de5\u5177\u5728\u7ebf<\/span>\u7248<\/td>\n\u514d\u5b89\u88c5\uff0c\u6d4f\u89c8\u5668\u76f4\u8fde\uff0c\u9002\u5408\u4e34\u65f6\u6539\u5c3a\u5bf8\u6216\u505a\u7167\u7247\u88c1\u526a\u5728\u7ebf<\/b>\u5e94\u6025\u5904\u7406\u3002<\/td>\n<\/tr>\n
\u6d77\u91cf\u7d20\u6750\u6e05\u6d17<\/td>\n\u672c\u5730\u811a\u672c+GUI\u5c01\u88c5<\/td>\n\u5229\u7528\u591a\u7ebf\u7a0b\u8dd1\u56fe\u7247\u6279\u91cf\u88c1\u526a<\/b>\uff0c\u901f\u5ea6\u63d0\u5347\u660e\u663e\uff0c\u4e14\u9690\u79c1\u6570\u636e\u4e0d\u51fa\u672c\u673a\u3002<\/td>\n<\/tr>\n
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