{"id":1074656,"date":"2025-01-08T11:36:42","date_gmt":"2025-01-08T03:36:42","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1074656.html"},"modified":"2025-01-08T11:36:42","modified_gmt":"2025-01-08T03:36:42","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python3%e8%af%bb%e5%8f%96%e6%98%be%e7%a4%ba%e5%9b%be%e7%89%87-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1074656.html","title":{"rendered":"\u5982\u4f55\u7528python3\u8bfb\u53d6\u663e\u793a\u56fe\u7247"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25104229\/d607366e-2d24-44a4-97ca-437a26d4f338.webp\" alt=\"\u5982\u4f55\u7528python3\u8bfb\u53d6\u663e\u793a\u56fe\u7247\" \/><\/p>\n<p><p> <strong>\u5982\u4f55\u7528Python3\u8bfb\u53d6\u663e\u793a\u56fe\u7247<\/strong><\/p>\n<\/p>\n<p><p>\u5728Python3\u4e2d\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u5e38\u7528\u7684\u5e93\u5305\u62ecPIL\uff08Pillow\uff09\u3001OpenCV\u548cmatplotlib\u3002<strong>\u4f7f\u7528PIL\u5e93\u3001\u4f7f\u7528OpenCV\u5e93\u3001\u4f7f\u7528matplotlib\u5e93<\/strong>\u662f\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u7684\u51e0\u79cd\u4e3b\u8981\u65b9\u6cd5\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5e93\u6765\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\uff0c\u5e76\u63a2\u8ba8\u5404\u81ea\u7684\u4f18\u7f3a\u70b9\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528PIL\u5e93<\/h3>\n<\/p>\n<p><p>PIL\uff08Python Imaging Library\uff09\u662fPython\u4e2d\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u7684\u6807\u51c6\u5e93\uff0c\u4f46\u7531\u4e8ePIL\u4e0d\u518d\u7ef4\u62a4\uff0c\u73b0\u5728\u4e3b\u8981\u4f7f\u7528\u5b83\u7684\u5206\u652fPillow\u3002Pillow\u662f\u4e00\u4e2a\u66f4\u52a0\u73b0\u4ee3\u4e14\u529f\u80fd\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u5e93\u3002<\/p>\n<\/p>\n<p><h4>\u5b89\u88c5Pillow<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5Pillow\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-sh\">pip install pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247<\/h4>\n<\/p>\n<p><p>\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<ol>\n<li>\u5bfc\u5165Pillow\u5e93\u4e2d\u7684Image\u6a21\u5757\u3002<\/li>\n<li>\u4f7f\u7528<code>Image.open()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3002<\/li>\n<li>\u4f7f\u7528<code>show()<\/code>\u65b9\u6cd5\u663e\u793a\u56fe\u50cf\u3002<\/li>\n<\/ol>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>image = Image.open(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n<p>image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8be6\u7ec6\u63cf\u8ff0<\/h4>\n<\/p>\n<p><p>Pillow\u7684<code>Image.open()<\/code>\u51fd\u6570\u80fd\u591f\u8bfb\u53d6\u591a\u79cd\u683c\u5f0f\u7684\u56fe\u7247\uff0c\u5305\u62ecJPEG\u3001PNG\u3001BMP\u7b49\u3002<code>show()<\/code>\u65b9\u6cd5\u4f1a\u8c03\u7528\u9ed8\u8ba4\u7684\u56fe\u7247\u67e5\u770b\u5668\u6765\u663e\u793a\u56fe\u50cf\uff0c\u8fd9\u5728\u5feb\u901f\u67e5\u770b\u56fe\u50cf\u65f6\u975e\u5e38\u6709\u7528\u3002\u7136\u800c\uff0c<code>show()<\/code>\u65b9\u6cd5\u5e76\u4e0d\u9002\u5408\u5728\u7a0b\u5e8f\u4e2d\u9891\u7e41\u4f7f\u7528\uff0c\u56e0\u4e3a\u5b83\u6bcf\u6b21\u90fd\u4f1a\u6253\u5f00\u4e00\u4e2a\u65b0\u7684\u56fe\u7247\u67e5\u770b\u5668\u7a97\u53e3\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528OpenCV\u5e93<\/h3>\n<\/p>\n<p><p>OpenCV\uff08Open Source Computer Vision Library\uff09\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u548c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u8f6f\u4ef6\u5e93\uff0c\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5305\u62ecPython\u3002\u5b83\u5728\u5904\u7406\u56fe\u50cf\u548c\u89c6\u9891\u65b9\u9762\u975e\u5e38\u5f3a\u5927\u548c\u9ad8\u6548\u3002<\/p>\n<\/p>\n<p><h4>\u5b89\u88c5OpenCV<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5OpenCV\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-sh\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247<\/h4>\n<\/p>\n<p><p>\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<ol>\n<li>\u5bfc\u5165cv2\u6a21\u5757\u3002<\/li>\n<li>\u4f7f\u7528<code>cv2.imread()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3002<\/li>\n<li>\u4f7f\u7528<code>cv2.imshow()<\/code>\u51fd\u6570\u663e\u793a\u56fe\u50cf\u3002<\/li>\n<li>\u4f7f\u7528<code>cv2.w<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>tKey()<\/code>\u51fd\u6570\u7b49\u5f85\u7528\u6237\u6309\u952e\u4ee5\u5173\u95ed\u7a97\u53e3\u3002<\/li>\n<\/ol>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>image = cv2.imread(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n<p>cv2.imshow(&#39;Image&#39;, image)<\/p>\n<h2><strong>\u7b49\u5f85\u7528\u6237\u6309\u952e<\/strong><\/h2>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8be6\u7ec6\u63cf\u8ff0<\/h4>\n<\/p>\n<p><p>OpenCV\u7684<code>cv2.imread()<\/code>\u51fd\u6570\u80fd\u591f\u9ad8\u6548\u5730\u8bfb\u53d6\u56fe\u7247\uff0c\u5e76\u4ee5\u591a\u7ef4\u6570\u7ec4\u7684\u5f62\u5f0f\u5b58\u50a8\u3002<code>cv2.imshow()<\/code>\u51fd\u6570\u4f1a\u521b\u5efa\u4e00\u4e2a\u7a97\u53e3\u6765\u663e\u793a\u56fe\u50cf\uff0c<code>cv2.waitKey(0)<\/code>\u51fd\u6570\u4f1a\u7b49\u5f85\u7528\u6237\u6309\u4e0b\u4efb\u610f\u952e\u4ee5\u5173\u95ed\u7a97\u53e3\u3002\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u9002\u5408\u5728\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u9879\u76ee\u4e2d\u4f7f\u7528\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528matplotlib\u5e93<\/h3>\n<\/p>\n<p><p>matplotlib\u662fPython\u4e2d\u7528\u4e8e\u7ed8\u5236\u56fe\u5f62\u7684\u5e93\uff0c\u5b83\u4e5f\u53ef\u4ee5\u7528\u6765\u663e\u793a\u56fe\u50cf\u3002\u867d\u7136matplotlib\u4e3b\u8981\u7528\u4e8e\u7ed8\u52362D\u56fe\u5f62\uff0c\u4f46\u5b83\u7684<code>imshow()<\/code>\u51fd\u6570\u53ef\u4ee5\u65b9\u4fbf\u5730\u663e\u793a\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><h4>\u5b89\u88c5matplotlib<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5matplotlib\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-sh\">pip install matplotlib<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247<\/h4>\n<\/p>\n<p><p>\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<ol>\n<li>\u5bfc\u5165matplotlib.pyplot\u6a21\u5757\u548cPillow\u5e93\u4e2d\u7684Image\u6a21\u5757\u3002<\/li>\n<li>\u4f7f\u7528<code>Image.open()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3002<\/li>\n<li>\u4f7f\u7528<code>plt.imshow()<\/code>\u51fd\u6570\u663e\u793a\u56fe\u50cf\u3002<\/li>\n<li>\u4f7f\u7528<code>plt.show()<\/code>\u51fd\u6570\u663e\u793a\u56fe\u5f62\u7a97\u53e3\u3002<\/li>\n<\/ol>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from PIL import Image<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>image = Image.open(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n<p>plt.imshow(image)<\/p>\n<p>plt.axis(&#39;off&#39;)  # \u5173\u95ed\u5750\u6807\u8f74<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8be6\u7ec6\u63cf\u8ff0<\/h4>\n<\/p>\n<p><p>matplotlib\u7684<code>imshow()<\/code>\u51fd\u6570\u80fd\u591f\u663e\u793a\u56fe\u50cf\uff0c\u5e76\u4e14\u53ef\u4ee5\u4e0e\u5176\u4ed6matplotlib\u529f\u80fd\u7ed3\u5408\u4f7f\u7528\uff0c\u4f8b\u5982\u6dfb\u52a0\u6807\u9898\u3001\u6ce8\u91ca\u7b49\u3002<code>plt.axis(&#39;off&#39;)<\/code>\u51fd\u6570\u4f1a\u5173\u95ed\u5750\u6807\u8f74\uff0c\u4f7f\u56fe\u50cf\u663e\u793a\u66f4\u52a0\u7b80\u6d01\u3002\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u9002\u5408\u5728\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u9879\u76ee\u4e2d\u4f7f\u7528\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u6bd4\u8f83\u4e0e\u603b\u7ed3<\/h3>\n<\/p>\n<p><h4>PIL\uff08Pillow\uff09\u7684\u4f18\u7f3a\u70b9<\/h4>\n<\/p>\n<p><p><strong>\u4f18\u70b9\uff1a<\/strong><\/p>\n<\/p>\n<ul>\n<li>\u7b80\u5355\u6613\u7528\uff0c\u9002\u5408\u5feb\u901f\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\u3002<\/li>\n<li>\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u3002<\/li>\n<\/ul>\n<p><p><strong>\u7f3a\u70b9\uff1a<\/strong><\/p>\n<\/p>\n<ul>\n<li><code>show()<\/code>\u65b9\u6cd5\u6bcf\u6b21\u90fd\u4f1a\u6253\u5f00\u4e00\u4e2a\u65b0\u7684\u56fe\u7247\u67e5\u770b\u5668\u7a97\u53e3\uff0c\u4e0d\u9002\u5408\u9891\u7e41\u4f7f\u7528\u3002<\/li>\n<li>\u529f\u80fd\u76f8\u5bf9\u6709\u9650\uff0c\u4e3b\u8981\u7528\u4e8e\u57fa\u672c\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<p><h4>OpenCV\u7684\u4f18\u7f3a\u70b9<\/h4>\n<\/p>\n<p><p><strong>\u4f18\u70b9\uff1a<\/strong><\/p>\n<\/p>\n<ul>\n<li>\u9ad8\u6548\u4e14\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u5904\u7406\u5927\u578b\u56fe\u50cf\u548c\u89c6\u9891\u3002<\/li>\n<li>\u63d0\u4f9b\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u529f\u80fd\u3002<\/li>\n<\/ul>\n<p><p><strong>\u7f3a\u70b9\uff1a<\/strong><\/p>\n<\/p>\n<ul>\n<li>\u9700\u8981\u4e86\u89e3\u66f4\u591a\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u56fe\u50cf\u5904\u7406\u7684\u77e5\u8bc6\u3002<\/li>\n<li>\u63a5\u53e3\u76f8\u5bf9\u590d\u6742\uff0c\u521d\u5b66\u8005\u53ef\u80fd\u9700\u8981\u4e00\u4e9b\u65f6\u95f4\u6765\u719f\u6089\u3002<\/li>\n<\/ul>\n<p><h4>matplotlib\u7684\u4f18\u7f3a\u70b9<\/h4>\n<\/p>\n<p><p><strong>\u4f18\u70b9\uff1a<\/strong><\/p>\n<\/p>\n<ul>\n<li>\u53ef\u4ee5\u4e0e\u5176\u4ed6matplotlib\u529f\u80fd\u7ed3\u5408\u4f7f\u7528\uff0c\u9002\u5408\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002<\/li>\n<li>\u663e\u793a\u6548\u679c\u7f8e\u89c2\uff0c\u652f\u6301\u81ea\u5b9a\u4e49\u56fe\u5f62\u5143\u7d20\u3002<\/li>\n<\/ul>\n<p><p><strong>\u7f3a\u70b9\uff1a<\/strong><\/p>\n<\/p>\n<ul>\n<li>\u663e\u793a\u56fe\u50cf\u7684\u6548\u7387\u76f8\u5bf9\u8f83\u4f4e\uff0c\u5904\u7406\u5927\u578b\u56fe\u50cf\u65f6\u53ef\u80fd\u4e0d\u592a\u9002\u5408\u3002<\/li>\n<li>\u4e3b\u8981\u7528\u4e8e\u7ed8\u56fe\uff0c\u56fe\u50cf\u5904\u7406\u529f\u80fd\u6709\u9650\u3002<\/li>\n<\/ul>\n<p><h3>\u7ed3\u8bba<\/h3>\n<\/p>\n<p><p>\u5728Python3\u4e2d\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4f9b\u9009\u62e9\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528PIL\uff08Pillow\uff09\u3001OpenCV\u548cmatplotlib\u3002<strong>Pillow\u9002\u5408\u5feb\u901f\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\uff0cOpenCV\u9002\u5408\u5904\u7406\u5927\u578b\u56fe\u50cf\u548c\u89c6\u9891\uff0cmatplotlib\u9002\u5408\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316<\/strong>\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u53ef\u4ee5\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u548c\u4ee3\u7801\u8d28\u91cf\u3002\u65e0\u8bba\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0c\u638c\u63e1\u56fe\u50cf\u5904\u7406\u7684\u57fa\u672c\u6280\u80fd\u90fd\u662f\u975e\u5e38\u6709\u5e2e\u52a9\u7684\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u548c\u663e\u793a\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u7247\uff1f<\/strong><br \/>Python\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u7684\u8bfb\u53d6\uff0c\u5982JPEG\u3001PNG\u3001BMP\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528PIL\uff08Pillow\uff09\u5e93\u6765\u5904\u7406\u56fe\u50cf\u3002\u5b89\u88c5Pillow\u5e93\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7<code>Image.open()<\/code>\u65b9\u6cd5\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\uff0c\u7136\u540e\u4f7f\u7528<code>show()<\/code>\u65b9\u6cd5\u5728\u9ed8\u8ba4\u56fe\u50cf\u67e5\u770b\u5668\u4e2d\u663e\u793a\u3002<\/p>\n<p><strong>\u4f7f\u7528Python\u8bfb\u53d6\u56fe\u7247\u9700\u8981\u54ea\u4e9b\u5e93\uff1f<\/strong><br \/>\u5e38\u7528\u7684\u5e93\u5305\u62ecPillow\uff08PIL\u7684\u66f4\u65b0\u7248\u672c\uff09\u548cOpenCV\u3002Pillow\u9002\u5408\u5904\u7406\u57fa\u672c\u7684\u56fe\u50cf\u64cd\u4f5c\uff0c\u800cOpenCV\u5219\u9002\u5408\u9700\u8981\u66f4\u590d\u6742\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u7684\u5e94\u7528\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u4f1a\u8ba9\u56fe\u50cf\u5904\u7406\u66f4\u52a0\u9ad8\u6548\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u5982\u4f55\u4f18\u5316\u663e\u793a\u56fe\u7247\u7684\u6027\u80fd\uff1f<\/strong><br \/>\u5bf9\u4e8e\u5927\u5c3a\u5bf8\u56fe\u50cf\uff0c\u53ef\u4ee5\u8003\u8651\u5728\u663e\u793a\u524d\u8fdb\u884c\u7f29\u653e\uff0c\u4f7f\u7528<code>thumbnail()<\/code>\u65b9\u6cd5\u751f\u6210\u7f29\u7565\u56fe\u3002\u8fd9\u6837\u80fd\u591f\u51cf\u5c11\u5185\u5b58\u5360\u7528\u548c\u63d0\u9ad8\u663e\u793a\u901f\u5ea6\u3002\u540c\u65f6\uff0c\u786e\u4fdd\u4f7f\u7528\u9ad8\u6548\u7684\u56fe\u50cf\u683c\u5f0f\u4e5f\u6709\u52a9\u4e8e\u63d0\u5347\u6027\u80fd\u3002\u4f7f\u7528OpenCV\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7<code>cv2.imshow()<\/code>\u65b9\u6cd5\u76f4\u63a5\u5728\u7a97\u53e3\u4e2d\u663e\u793a\u56fe\u50cf\uff0c\u5e76\u901a\u8fc7\u9002\u5f53\u7684\u5ef6\u65f6\u63a7\u5236\u663e\u793a\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5982\u4f55\u7528Python3\u8bfb\u53d6\u663e\u793a\u56fe\u7247 \u5728Python3\u4e2d\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u5e38\u7528\u7684\u5e93\u5305\u62ecPIL\uff08Pillow [&hellip;]","protected":false},"author":3,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1074656"}],"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=1074656"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1074656\/revisions"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1074656"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1074656"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1074656"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}