{"id":969165,"date":"2024-12-27T05:14:02","date_gmt":"2024-12-26T21:14:02","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/969165.html"},"modified":"2024-12-27T05:14:04","modified_gmt":"2024-12-26T21:14:04","slug":"learn-python%e5%a6%82%e4%bd%95%e4%bf%ae%e5%9b%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/969165.html","title":{"rendered":"learn python\u5982\u4f55\u4fee\u56fe"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24183605\/fd887862-e633-4922-9fd0-33d6ac62a052.webp\" alt=\"learn python\u5982\u4f55\u4fee\u56fe\" \/><\/p>\n<h2><strong>LEARN PYTHON\u5982\u4f55\u4fee\u56fe<\/strong><\/h2>\n<p><p><strong>\u4f7f\u7528Python\u4fee\u56fe\u53ef\u4ee5\u901a\u8fc7\u56fe\u50cf\u5904\u7406\u5e93\u5982PIL\u3001OpenCV\u548cscikit-image\u7b49\u5b9e\u73b0\uff0c\u81ea\u52a8\u5316\u5904\u7406\u3001\u6279\u91cf\u64cd\u4f5c\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u4e0e\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528\u662fPython\u4fee\u56fe\u7684\u4f18\u52bf\u3002<\/strong>\u5176\u4e2d\uff0c\u4f7f\u7528PIL\u53ef\u4ee5\u8f7b\u677e\u5b8c\u6210\u57fa\u672c\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0c\u5982\u8c03\u6574\u5927\u5c0f\u3001\u88c1\u526a\u548c\u6ee4\u955c\u5e94\u7528\u3002OpenCV\u5219\u64c5\u957f\u4e8e\u66f4\u590d\u6742\u7684\u56fe\u50cf\u64cd\u4f5c\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u3002Scikit-image\u63d0\u4f9b\u4e86\u4e00\u5957\u5f3a\u5927\u7684\u5de5\u5177\u7528\u4e8e\u56fe\u50cf\u5206\u6790\uff0c\u5c24\u5176\u9002\u5408\u79d1\u7814\u7528\u9014\u3002\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u6df1\u5165\u63a2\u8ba8\u5982\u4f55\u5229\u7528\u8fd9\u4e9b\u5de5\u5177\u6765\u8fdb\u884c\u56fe\u50cf\u5904\u7406\uff0c\u5e76\u5206\u4eab\u4e00\u4e9b\u5b9e\u9645\u5e94\u7528\u7ecf\u9a8c\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001PIL\u5e93\u7684\u57fa\u7840\u5e94\u7528<\/h2>\n<\/p>\n<p><p>PIL\uff08Python Imaging Library\uff09\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u56fe\u50cf\u5904\u7406\u5e93\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u9002\u5408\u521d\u5b66\u8005\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u56fe\u50cf\u7684\u57fa\u672c\u64cd\u4f5c<\/h3>\n<\/p>\n<p><p>PIL\u5e93\u4e2d\u6700\u5e38\u89c1\u7684\u5e94\u7528\u662f\u5bf9\u56fe\u50cf\u8fdb\u884c\u57fa\u672c\u64cd\u4f5c\u3002\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u6253\u5f00\u3001\u663e\u793a\u3001\u4fdd\u5b58\u56fe\u50cf\uff0c\u5e76\u8fdb\u884c\u7b80\u5355\u7684\u53d8\u6362\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u6253\u5f00\u548c\u663e\u793a\u56fe\u50cf<\/strong>\uff1a\u901a\u8fc7<code>Image.open()<\/code>\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u6253\u5f00\u5404\u79cd\u683c\u5f0f\u7684\u56fe\u50cf\uff0c\u5e76\u901a\u8fc7<code>show()<\/code>\u65b9\u6cd5\u5728\u9ed8\u8ba4\u56fe\u50cf\u67e5\u770b\u5668\u4e2d\u663e\u793a\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u8c03\u6574\u56fe\u50cf\u5927\u5c0f<\/strong>\uff1a\u4f7f\u7528<code>resize()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5c06\u56fe\u50cf\u7f29\u653e\u5230\u6307\u5b9a\u7684\u5927\u5c0f\uff0c\u8fd9\u5bf9\u4e8e\u9700\u8981\u6279\u91cf\u5904\u7406\u4e0d\u540c\u5c3a\u5bf8\u56fe\u50cf\u7684\u4efb\u52a1\u5c24\u4e3a\u91cd\u8981\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>2\u3001\u6ee4\u955c\u548c\u8272\u5f69\u53d8\u6362<\/h3>\n<\/p>\n<p><p>PIL\u63d0\u4f9b\u4e86\u591a\u79cd\u6ee4\u955c\u548c\u8272\u5f69\u53d8\u6362\u529f\u80fd\uff0c\u8fd9\u4e9b\u529f\u80fd\u53ef\u4ee5\u7528\u4e8e\u589e\u5f3a\u56fe\u50cf\u6548\u679c\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u5e94\u7528\u6ee4\u955c<\/strong>\uff1aPIL\u4e2d\u7684<code>ImageFilter<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u591a\u79cd\u6ee4\u955c\u6548\u679c\uff0c\u5982\u6a21\u7cca\u3001\u8fb9\u7f18\u589e\u5f3a\u7b49\u3002\u901a\u8fc7<code>filter()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u8f7b\u677e\u5e94\u7528\u8fd9\u4e9b\u6ee4\u955c\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u8272\u5f69\u8c03\u6574<\/strong>\uff1a\u4f7f\u7528<code>ImageEnhance<\/code>\u6a21\u5757\uff0c\u6211\u4eec\u53ef\u4ee5\u8c03\u6574\u56fe\u50cf\u7684\u4eae\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u3001\u989c\u8272\u548c\u9510\u5ea6\u3002\u8fd9\u5728\u9700\u8981\u7edf\u4e00\u56fe\u50cf\u98ce\u683c\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h2>\u4e8c\u3001OpenCV\u7684\u9ad8\u7ea7\u529f\u80fd<\/h2>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5176\u4e2dPython\u662f\u5176\u4e3b\u8981\u8bed\u8a00\u4e4b\u4e00\u3002OpenCV\u5728\u56fe\u50cf\u5904\u7406\u3001\u673a\u5668\u5b66\u4e60\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u56fe\u50cf\u5904\u7406\u4e0e\u53d8\u6362<\/h3>\n<\/p>\n<p><p>OpenCV\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u9002\u5408\u7528\u4e8e\u590d\u6742\u7684\u56fe\u50cf\u53d8\u6362\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u56fe\u50cf\u8fc7\u6ee4\u4e0e\u8fb9\u7f18\u68c0\u6d4b<\/strong>\uff1a\u901a\u8fc7OpenCV\u7684<code>cv2.filter2D()<\/code>\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u5e94\u7528\u81ea\u5b9a\u4e49\u5377\u79ef\u6838\u8fdb\u884c\u56fe\u50cf\u8fc7\u6ee4\u3002\u540c\u65f6\uff0cOpenCV\u7684Canny\u8fb9\u7f18\u68c0\u6d4b\u5668\u53ef\u4ee5\u6709\u6548\u5730\u8bc6\u522b\u56fe\u50cf\u4e2d\u7684\u8fb9\u7f18\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u51e0\u4f55\u53d8\u6362<\/strong>\uff1aOpenCV\u652f\u6301\u591a\u79cd\u51e0\u4f55\u53d8\u6362\uff0c\u5982\u65cb\u8f6c\u3001\u5e73\u79fb\u548c\u900f\u89c6\u53d8\u6362\u3002\u8fd9\u4e9b\u529f\u80fd\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u6821\u6b63\u548c\u89c6\u89d2\u53d8\u5316\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>2\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528<\/h3>\n<\/p>\n<p><p>OpenCV\u4e0d\u4ec5\u9650\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u5904\u7406\uff0c\u8fd8\u652f\u6301\u590d\u6742\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u5bf9\u8c61\u68c0\u6d4b\u4e0e\u8bc6\u522b<\/strong>\uff1a\u901a\u8fc7\u8bad\u7ec3\u597d\u7684\u6a21\u578b\uff0cOpenCV\u53ef\u4ee5\u8fdb\u884c\u5bf9\u8c61\u68c0\u6d4b\u548c\u8bc6\u522b\u4efb\u52a1\u3002\u7ed3\u5408\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u5982TensorFlow\u6216PyTorch\uff0cOpenCV\u53ef\u4ee5\u5b9e\u73b0\u5b9e\u65f6\u68c0\u6d4b\u5e94\u7528\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u56fe\u50cf\u5206\u5272\u4e0e\u5206\u6790<\/strong>\uff1aOpenCV\u7684\u56fe\u50cf\u5206\u5272\u529f\u80fd\u53ef\u4ee5\u5c06\u56fe\u50cf\u5206\u6210\u4e0d\u540c\u7684\u533a\u57df\uff0c\u8fd9\u5728\u533b\u5b66\u56fe\u50cf\u5206\u6790\u548c\u81ea\u52a8\u9a7e\u9a76\u7b49\u9886\u57df\u5177\u6709\u91cd\u8981\u5e94\u7528\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h2>\u4e09\u3001scikit-image\u7684\u79d1\u5b66\u5206\u6790<\/h2>\n<\/p>\n<p><p>scikit-image\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u79d1\u5b66\u56fe\u50cf\u5904\u7406\u7684Python\u5e93\uff0c\u9002\u5408\u7528\u4e8e\u56fe\u50cf\u5206\u6790\u548c\u7279\u5f81\u63d0\u53d6\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u56fe\u50cf\u5206\u6790\u6280\u672f<\/h3>\n<\/p>\n<p><p>scikit-image\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u5de5\u5177\u7528\u4e8e\u9ad8\u7ea7\u56fe\u50cf\u5206\u6790\uff0c\u8fd9\u4e9b\u5de5\u5177\u9002\u7528\u4e8e\u79d1\u7814\u548c\u5de5\u7a0b\u9886\u57df\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u8fb9\u7f18\u68c0\u6d4b\u4e0e\u8f6e\u5ed3\u63d0\u53d6<\/strong>\uff1a\u4f7f\u7528scikit-image\u7684<code>filters<\/code>\u6a21\u5757\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9e\u73b0\u591a\u79cd\u8fb9\u7f18\u68c0\u6d4b\u7b97\u6cd5\uff0c\u5982Sobel\u548cCanny\u3002<code>measure<\/code>\u6a21\u5757\u4e2d\u7684<code>find_contours<\/code>\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u7cbe\u786e\u7684\u8f6e\u5ed3\u63d0\u53d6\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u56fe\u50cf\u76f4\u65b9\u56fe\u4e0e\u9608\u503c\u5316<\/strong>\uff1a\u901a\u8fc7<code>exposure<\/code>\u6a21\u5757\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba1\u7b97\u56fe\u50cf\u76f4\u65b9\u56fe\uff0c\u5e76\u4f7f\u7528\u4e0d\u540c\u7684\u9608\u503c\u5316\u65b9\u6cd5\u8fdb\u884c\u56fe\u50cf\u5206\u5272\uff0c\u8fd9\u5728\u6a21\u5f0f\u8bc6\u522b\u4e2d\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>2\u3001\u7279\u5f81\u63d0\u53d6\u4e0e\u56fe\u50cf\u589e\u5f3a<\/h3>\n<\/p>\n<p><p>\u7279\u5f81\u63d0\u53d6\u662f\u56fe\u50cf\u5206\u6790\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u6b65\u9aa4\uff0cscikit-image\u63d0\u4f9b\u4e86\u591a\u79cd\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u7eb9\u7406\u7279\u5f81\u63d0\u53d6<\/strong>\uff1a\u901a\u8fc7Gabor\u6ee4\u6ce2\u5668\u548cLBP\uff08\u5c40\u90e8\u4e8c\u503c\u6a21\u5f0f\uff09\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u63d0\u53d6\u56fe\u50cf\u7684\u7eb9\u7406\u7279\u5f81\uff0c\u8fd9\u5728\u56fe\u50cf\u5206\u7c7b\u548c\u8bc6\u522b\u4e2d\u5e94\u7528\u5e7f\u6cdb\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u56fe\u50cf\u53bb\u566a\u4e0e\u589e\u5f3a<\/strong>\uff1ascikit-image\u4e2d\u7684<code>restoration<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u591a\u79cd\u53bb\u566a\u7b97\u6cd5\uff0c\u5982\u975e\u5c40\u90e8\u5747\u503c\u548cWiener\u6ee4\u6ce2\uff0c\u8fd9\u4e9b\u7b97\u6cd5\u53ef\u4ee5\u6709\u6548\u5730\u53bb\u9664\u56fe\u50cf\u566a\u58f0\uff0c\u63d0\u9ad8\u56fe\u50cf\u8d28\u91cf\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h2>\u56db\u3001Python\u4fee\u56fe\u7684\u5b9e\u9645\u5e94\u7528<\/h2>\n<\/p>\n<p><p>\u5728\u5b9e\u8df5\u4e2d\uff0cPython\u7684\u56fe\u50cf\u5904\u7406\u80fd\u529b\u53ef\u4ee5\u5e94\u7528\u4e8e\u591a\u4e2a\u9886\u57df\uff0c\u5982\u81ea\u52a8\u5316\u56fe\u50cf\u7f16\u8f91\u3001\u6279\u91cf\u56fe\u50cf\u5904\u7406\u548c\u667a\u80fd\u8bc6\u522b\u7cfb\u7edf\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u81ea\u52a8\u5316\u56fe\u50cf\u7f16\u8f91<\/h3>\n<\/p>\n<p><p>Python\u7684\u56fe\u50cf\u5904\u7406\u5e93\u53ef\u4ee5\u7528\u4e8e\u6784\u5efa\u81ea\u52a8\u5316\u7684\u56fe\u50cf\u7f16\u8f91\u5de5\u5177\uff0c\u8282\u7701\u4eba\u5de5\u64cd\u4f5c\u7684\u65f6\u95f4\u548c\u7cbe\u529b\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u6279\u91cf\u56fe\u50cf\u5904\u7406<\/strong>\uff1a\u901a\u8fc7Python\u811a\u672c\uff0c\u6211\u4eec\u53ef\u4ee5\u81ea\u52a8\u5316\u5904\u7406\u5927\u91cf\u56fe\u50cf\uff0c\u4f8b\u5982\u6279\u91cf\u8c03\u6574\u5c3a\u5bf8\u3001\u52a0\u6c34\u5370\u548c\u683c\u5f0f\u8f6c\u6362\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u81ea\u52a8\u5316\u6ee4\u955c\u5e94\u7528<\/strong>\uff1a\u7ed3\u5408\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u53ef\u4ee5\u6839\u636e\u56fe\u50cf\u5185\u5bb9\u81ea\u52a8\u9009\u62e9\u5e76\u5e94\u7528\u9002\u5408\u7684\u6ee4\u955c\u6548\u679c\uff0c\u63d0\u9ad8\u56fe\u50cf\u7684\u89c6\u89c9\u5438\u5f15\u529b\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>2\u3001\u667a\u80fd\u8bc6\u522b\u7cfb\u7edf<\/h3>\n<\/p>\n<p><p>Python\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u80fd\u529b\u53ef\u4ee5\u7528\u4e8e\u6784\u5efa\u667a\u80fd\u8bc6\u522b\u7cfb\u7edf\uff0c\u5982\u4eba\u8138\u8bc6\u522b\u548c\u7269\u4f53\u68c0\u6d4b\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u5b9e\u65f6\u4eba\u8138\u8bc6\u522b<\/strong>\uff1a\u901a\u8fc7OpenCV\u548c\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9e\u73b0\u5b9e\u65f6\u4eba\u8138\u8bc6\u522b\u7cfb\u7edf\uff0c\u7528\u4e8e\u5b89\u5168\u548c\u8eab\u4efd\u9a8c\u8bc1\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u7269\u4f53\u68c0\u6d4b\u4e0e\u8ddf\u8e2a<\/strong>\uff1a\u7ed3\u5408YOLO\u6216SSD\u7b49\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u53ef\u4ee5\u5b9e\u73b0\u9ad8\u6548\u7684\u7269\u4f53\u68c0\u6d4b\u548c\u8ddf\u8e2a\uff0c\u5e94\u7528\u4e8e\u81ea\u52a8\u9a7e\u9a76\u548c\u76d1\u63a7\u7cfb\u7edf\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h2>\u4e94\u3001Python\u4fee\u56fe\u7684\u4f18\u52bf\u4e0e\u6311\u6218<\/h2>\n<\/p>\n<p><p>\u867d\u7136Python\u5728\u56fe\u50cf\u5904\u7406\u9886\u57df\u6709\u8bf8\u591a\u4f18\u52bf\uff0c\u4f46\u4e5f\u9762\u4e34\u4e00\u4e9b\u6311\u6218\u3002\u4e86\u89e3\u8fd9\u4e9b\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u5229\u7528Python\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u4f18\u52bf<\/h3>\n<\/p>\n<p><p>Python\u7684\u56fe\u50cf\u5904\u7406\u5de5\u5177\u6709\u8bb8\u591a\u72ec\u7279\u7684\u4f18\u52bf\uff0c\u4f7f\u5176\u6210\u4e3a\u56fe\u50cf\u5904\u7406\u9886\u57df\u7684\u70ed\u95e8\u9009\u62e9\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u6613\u4e8e\u5b66\u4e60\u548c\u4f7f\u7528<\/strong>\uff1aPython\u8bed\u8a00\u7b80\u5355\u6613\u5b66\uff0c\u4e30\u5bcc\u7684\u5e93\u652f\u6301\u4f7f\u5f97\u56fe\u50cf\u5904\u7406\u7684\u5b9e\u73b0\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u5f3a\u5927\u7684\u793e\u533a\u652f\u6301<\/strong>\uff1aPython\u6709\u4e00\u4e2a\u5e9e\u5927\u7684\u5f00\u53d1\u8005\u793e\u533a\uff0c\u5404\u79cd\u5e93\u7684\u6587\u6863\u548c\u6559\u7a0b\u4e30\u5bcc\uff0c\u7528\u6237\u53ef\u4ee5\u5f88\u5feb\u627e\u5230\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>2\u3001\u6311\u6218<\/h3>\n<\/p>\n<p><p>\u5c3d\u7ba1\u6709\u5f88\u591a\u4f18\u52bf\uff0c\u4f46Python\u5728\u5904\u7406\u5927\u578b\u56fe\u50cf\u6570\u636e\u96c6\u65f6\u4e5f\u9762\u4e34\u4e00\u4e9b\u6311\u6218\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u6027\u80fd\u95ee\u9898<\/strong>\uff1a\u7531\u4e8ePython\u662f\u89e3\u91ca\u578b\u8bed\u8a00\uff0c\u5728\u5904\u7406\u5927\u89c4\u6a21\u56fe\u50cf\u6570\u636e\u65f6\u53ef\u80fd\u4f1a\u9047\u5230\u6027\u80fd\u74f6\u9888\u3002\u901a\u8fc7\u4f7f\u7528NumPy\u8fdb\u884c\u6570\u7ec4\u64cd\u4f5c\u6216\u901a\u8fc7Cython\u548cPyPy\u8fdb\u884c\u4f18\u5316\uff0c\u53ef\u4ee5\u90e8\u5206\u7f13\u89e3\u8fd9\u4e2a\u95ee\u9898\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u590d\u6742\u4efb\u52a1\u7684\u5b9e\u73b0<\/strong>\uff1a\u5bf9\u4e8e\u4e00\u4e9b\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0cPython\u4e2d\u7684\u5e93\u53ef\u80fd\u9700\u8981\u914d\u5408\u4f7f\u7528\uff0c\u5f00\u53d1\u8005\u9700\u8981\u5bf9\u591a\u4e2a\u5e93\u6709\u8f83\u6df1\u5165\u7684\u4e86\u89e3\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><p>\u901a\u8fc7\u5408\u7406\u5730\u5229\u7528Python\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u9ad8\u6548\u5730\u5b8c\u6210\u5404\u79cd\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0c\u4ece\u7b80\u5355\u7684\u56fe\u50cf\u7f16\u8f91\u5230\u590d\u6742\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528\uff0cPython\u90fd\u80fd\u63d0\u4f9b\u5f3a\u6709\u529b\u7684\u652f\u6301\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u8fdb\u884c\u56fe\u50cf\u5904\u7406\uff1f<\/strong><br \/>Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5e93\u6765\u8fdb\u884c\u56fe\u50cf\u5904\u7406\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fPIL\uff08Pillow\uff09\u548cOpenCV\u3002Pillow\u5e93\u9002\u5408\u8fdb\u884c\u57fa\u672c\u7684\u56fe\u50cf\u64cd\u4f5c\uff0c\u5982\u526a\u5207\u3001\u7f29\u653e\u3001\u6ee4\u955c\u5e94\u7528\u7b49\uff0c\u800cOpenCV\u5219\u66f4\u9002\u5408\u590d\u6742\u7684\u56fe\u50cf\u5206\u6790\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u3002\u901a\u8fc7\u5b89\u88c5\u8fd9\u4e9b\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u56fe\u50cf\u7684\u8bfb\u53d6\u3001\u4fee\u6539\u548c\u4fdd\u5b58\u3002<\/p>\n<p><strong>\u6211\u9700\u8981\u54ea\u4e9b\u5de5\u5177\u548c\u5e93\u6765\u4fee\u56fe\uff1f<\/strong><br \/>\u4e3a\u4e86\u5f00\u59cb\u4f7f\u7528Python\u8fdb\u884c\u56fe\u50cf\u5904\u7406\uff0c\u60a8\u53ef\u4ee5\u5b89\u88c5Pillow\u548cOpenCV\u8fd9\u4e24\u4e2a\u5e93\u3002\u4f7f\u7528pip\u547d\u4ee4\u53ef\u4ee5\u8f7b\u677e\u5b89\u88c5\u5b83\u4eec\uff1a<code>pip install Pillow<\/code>\u548c<code>pip install opencv-python<\/code>\u3002\u9664\u4e86\u8fd9\u4e9b\u5e93\u4e4b\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528NumPy\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\uff0c\u8fd9\u5728\u5904\u7406\u56fe\u50cf\u6570\u7ec4\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Python\u4e2d\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u548c\u683c\u5f0f\uff1f<\/strong><br \/>\u4f7f\u7528Pillow\u5e93\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u4ee3\u7801\u6765\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u548c\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u901a\u8fc7<code>image.resize()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u8f7b\u677e\u6539\u53d8\u56fe\u50cf\u7684\u5c3a\u5bf8\uff0c\u800c\u4f7f\u7528<code>image.save()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3a\u4e0d\u540c\u7684\u683c\u5f0f\uff08\u5982JPEG\u3001PNG\u7b49\uff09\u3002\u5177\u4f53\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">from PIL import Image\n\nimage = Image.open(&#39;example.jpg&#39;)\nresized_image = image.resize((800, 600))\nresized_image.save(&#39;resized_image.png&#39;)\n<\/code><\/pre>\n<p>\u4ee5\u4e0a\u4ee3\u7801\u5c06<code>example.jpg<\/code>\u56fe\u50cf\u8c03\u6574\u4e3a800&#215;600\u7684\u5927\u5c0f\u5e76\u4fdd\u5b58\u4e3aPNG\u683c\u5f0f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"LEARN PYTHON\u5982\u4f55\u4fee\u56fe \u4f7f\u7528Python\u4fee\u56fe\u53ef\u4ee5\u901a\u8fc7\u56fe\u50cf\u5904\u7406\u5e93\u5982PIL\u3001OpenCV\u548cscikit- [&hellip;]","protected":false},"author":3,"featured_media":969167,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/969165"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=969165"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/969165\/revisions"}],"predecessor-version":[{"id":969168,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/969165\/revisions\/969168"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/969167"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=969165"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=969165"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=969165"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}