{"id":982868,"date":"2024-12-27T07:14:32","date_gmt":"2024-12-26T23:14:32","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/982868.html"},"modified":"2024-12-27T07:14:35","modified_gmt":"2024-12-26T23:14:35","slug":"python%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96%e6%98%be%e7%a4%ba%e5%9b%be%e5%83%8f","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/982868.html","title":{"rendered":"python\u5982\u4f55\u8bfb\u53d6\u663e\u793a\u56fe\u50cf"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24211144\/81bbe2d0-915d-42f5-9f25-7cd38a96fc31.webp\" alt=\"python\u5982\u4f55\u8bfb\u53d6\u663e\u793a\u56fe\u50cf\" \/><\/p>\n<p><p> <strong>Python\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528OpenCV\u3001PIL\uff08Pillow\uff09\u548cMatplotlib\u7b49\u5e93\u3002<\/strong> \u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u663e\u793a\uff0c\u5176\u4e2d\uff0c<strong>OpenCV\u4ee5\u5176\u9ad8\u6548\u7684\u5904\u7406\u80fd\u529b\u548c\u4e30\u5bcc\u7684\u529f\u80fd\u800c\u88ab\u5e7f\u6cdb\u4f7f\u7528<\/strong>\u3002\u4f7f\u7528OpenCV\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\u7684\u57fa\u672c\u6b65\u9aa4\u5305\u62ec\uff1a\u5bfc\u5165\u5e93\uff0c\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\uff0c\u663e\u793a\u56fe\u50cf\u5e76\u7b49\u5f85\u7528\u6237\u64cd\u4f5c\u3002\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u51e0\u79cd\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u4ee3\u7801\u793a\u4f8b\uff0c\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001OPENCV\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf<\/p>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u63d0\u4f9b\u4e86\u591a\u79cd\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u56fe\u50cf\u8bfb\u53d6\u3001\u663e\u793a\u548c\u4fdd\u5b58\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5OpenCV<\/p>\n<p>\u8981\u4f7f\u7528OpenCV\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u8be5\u5e93\u3002\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u901a\u8fc7pip\u5b89\u88c5\uff1a<\/li>\n<\/p>\n<\/ol>\n<p><pre><code class=\"language-bash\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528OpenCV\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf<\/p>\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528OpenCV\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\uff1a<\/li>\n<\/p>\n<\/ol>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u68c0\u67e5\u56fe\u50cf\u662f\u5426\u6210\u529f\u8bfb\u53d6<\/strong><\/h2>\n<p>if image is None:<\/p>\n<p>    print(&quot;\u56fe\u50cf\u8bfb\u53d6\u5931\u8d25\uff0c\u8bf7\u68c0\u67e5\u8def\u5f84&quot;)<\/p>\n<p>else:<\/p>\n<p>    # \u663e\u793a\u56fe\u50cf<\/p>\n<p>    cv2.imshow(&#39;Image&#39;, image)<\/p>\n<p>    # \u7b49\u5f85\u7528\u6237\u6309\u952e<\/p>\n<p>    cv2.w<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>tKey(0)<\/p>\n<p>    # \u9500\u6bc1\u6240\u6709\u7a97\u53e3<\/p>\n<p>    cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>cv2.imread()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u50cf\uff0c<code>cv2.imshow()<\/code>\u51fd\u6570\u663e\u793a\u56fe\u50cf\uff0c<code>cv2.waitKey(0)<\/code>\u51fd\u6570\u7b49\u5f85\u7528\u6237\u6309\u4e0b\u4efb\u610f\u952e\uff0c\u6700\u540e\u4f7f\u7528<code>cv2.destroyAllWindows()<\/code>\u5173\u95ed\u6240\u6709\u7a97\u53e3\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001PIL\uff08Pillow\uff09\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf<\/p>\n<\/p>\n<p><p>PIL\uff08Pillow\uff09\u662fPython Imaging Library\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u63d0\u4f9b\u4e86\u56fe\u50cf\u5904\u7406\u7684\u57fa\u672c\u529f\u80fd\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5Pillow<\/p>\n<p>\u53ef\u4ee5\u4f7f\u7528pip\u5b89\u88c5Pillow\uff1a<\/li>\n<\/p>\n<\/ol>\n<p><pre><code class=\"language-bash\">pip install Pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528Pillow\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf<\/p>\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Pillow\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\uff1a<\/li>\n<\/p>\n<\/ol>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = Image.open(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n<p>image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>Image.open()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u50cf\uff0c<code>image.show()<\/code>\u51fd\u6570\u663e\u793a\u56fe\u50cf\u3002Pillow\u4f1a\u8c03\u7528\u7cfb\u7edf\u9ed8\u8ba4\u7684\u56fe\u50cf\u67e5\u770b\u5668\u6765\u663e\u793a\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001MATPLOTLIB\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf<\/p>\n<\/p>\n<p><p>Matplotlib\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u901a\u5e38\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e\u663e\u793a\u56fe\u50cf\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5Matplotlib<\/p>\n<p>\u53ef\u4ee5\u901a\u8fc7pip\u5b89\u88c5Matplotlib\uff1a<\/li>\n<\/p>\n<\/ol>\n<p><pre><code class=\"language-bash\">pip install matplotlib<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528Matplotlib\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf<\/p>\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Matplotlib\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\uff1a<\/li>\n<\/p>\n<\/ol>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import matplotlib.image as mpimg<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = mpimg.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u50cf<\/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><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>mpimg.imread()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u50cf\uff0c\u5e76\u4f7f\u7528<code>plt.imshow()<\/code>\u51fd\u6570\u663e\u793a\u56fe\u50cf\u3002<code>plt.axis(&#39;off&#39;)<\/code>\u7528\u4e8e\u5173\u95ed\u5750\u6807\u8f74\uff0c\u4f7f\u56fe\u50cf\u663e\u793a\u5f97\u66f4\u4e3a\u6e05\u6670\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u6bd4\u8f83\u4e09\u79cd\u65b9\u6cd5<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u529f\u80fd\u548c\u6548\u7387<\/strong><\/p>\n<\/p>\n<ul>\n<li><strong>OpenCV<\/strong>\uff1a\u529f\u80fd\u5f3a\u5927\uff0c\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u548c\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\uff0c\u9002\u5408\u9700\u8981\u9ad8\u6548\u5904\u7406\u56fe\u50cf\u7684\u5e94\u7528\u3002<\/li>\n<li><strong>Pillow<\/strong>\uff1a\u66f4\u4e3a\u7b80\u5355\u6613\u7528\uff0c\u9002\u5408\u57fa\u672c\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u548c\u5feb\u901f\u7684\u56fe\u50cf\u663e\u793a\u3002<\/li>\n<li><strong>Matplotlib<\/strong>\uff1a\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u9002\u5408\u9700\u8981\u7ed3\u5408\u6570\u636e\u8fdb\u884c\u56fe\u50cf\u5c55\u793a\u7684\u573a\u666f\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u5b89\u88c5\u548c\u4f9d\u8d56<\/strong><\/p>\n<\/p>\n<ul>\n<li><strong>OpenCV<\/strong>\u548c<strong>Matplotlib<\/strong>\u53ef\u80fd\u9700\u8981\u66f4\u591a\u7684\u5b89\u88c5\u914d\u7f6e\uff0c\u7279\u522b\u662f\u5728\u67d0\u4e9b\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u3002<\/li>\n<li><strong>Pillow<\/strong>\u901a\u5e38\u6bd4\u8f83\u5bb9\u6613\u5b89\u88c5\uff0c\u4f9d\u8d56\u8f83\u5c11\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u663e\u793a\u6548\u679c<\/strong><\/p>\n<\/p>\n<ul>\n<li><strong>OpenCV<\/strong>\uff1a\u76f4\u63a5\u5728\u7a97\u53e3\u4e2d\u663e\u793a\u56fe\u50cf\uff0c\u9002\u5408\u5feb\u901f\u67e5\u770b\u3002<\/li>\n<li><strong>Pillow<\/strong>\uff1a\u8c03\u7528\u7cfb\u7edf\u9ed8\u8ba4\u67e5\u770b\u5668\uff0c\u663e\u793a\u6548\u679c\u4f9d\u8d56\u4e8e\u7cfb\u7edf\u3002<\/li>\n<li><strong>Matplotlib<\/strong>\uff1a\u5728\u7ed8\u56fe\u7a97\u53e3\u4e2d\u663e\u793a\u56fe\u50cf\uff0c\u9002\u5408\u7ed3\u5408\u5176\u4ed6\u6570\u636e\u8fdb\u884c\u5c55\u793a\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p><p>\u4e94\u3001\u5b9e\u8df5\u5efa\u8bae<\/p>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u9700\u6c42\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u5982\u679c\u9700\u8981\u8fdb\u884c\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406<\/strong>\uff0c\u5982\u8fb9\u7f18\u68c0\u6d4b\u3001\u56fe\u50cf\u589e\u5f3a\u7b49\uff0cOpenCV\u662f\u4e00\u4e2a\u7406\u60f3\u7684\u9009\u62e9\u3002<\/li>\n<li><strong>\u5982\u679c\u53ea\u662f\u9700\u8981\u7b80\u5355\u5730\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf<\/strong>\uff0cPillow\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u6613\u7528\u7684\u63a5\u53e3\u3002<\/li>\n<li><strong>\u5982\u679c\u9700\u8981\u7ed3\u5408\u6570\u636e\u8fdb\u884c\u56fe\u50cf\u5c55\u793a<\/strong>\uff0c\u5982\u6570\u636e\u5206\u6790\u62a5\u544a\u4e2d\u7684\u56fe\u50cf\u5c55\u793a\uff0cMatplotlib\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002<\/li>\n<\/ul>\n<p><p>\u516d\u3001\u7efc\u5408\u793a\u4f8b\uff1a\u56fe\u50cf\u5904\u7406\u548c\u663e\u793a<\/p>\n<\/p>\n<p><p>\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5e93\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u548c\u663e\u793a\uff0c\u6211\u4eec\u63d0\u4f9b\u4e00\u4e2a\u7efc\u5408\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528OpenCV\u8fdb\u884c\u56fe\u50cf\u5904\u7406\uff0c\u5e76\u4f7f\u7528Matplotlib\u663e\u793a\u7ed3\u679c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n<h2><strong>\u8fb9\u7f18\u68c0\u6d4b<\/strong><\/h2>\n<p>edges = cv2.Canny(gray_image, 100, 200)<\/p>\n<h2><strong>\u4f7f\u7528Matplotlib\u663e\u793a\u7ed3\u679c<\/strong><\/h2>\n<p>plt.figure(figsize=(10, 5))<\/p>\n<p>plt.subplot(1, 3, 1)<\/p>\n<p>plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))<\/p>\n<p>plt.title(&#39;Original Image&#39;)<\/p>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<p>plt.subplot(1, 3, 2)<\/p>\n<p>plt.imshow(gray_image, cmap=&#39;gray&#39;)<\/p>\n<p>plt.title(&#39;Gray Image&#39;)<\/p>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<p>plt.subplot(1, 3, 3)<\/p>\n<p>plt.imshow(edges, cmap=&#39;gray&#39;)<\/p>\n<p>plt.title(&#39;Edge Image&#39;)<\/p>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u50cf\u5e76\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\uff0c\u7136\u540e\u8fdb\u884c\u8fb9\u7f18\u68c0\u6d4b\uff0c\u6700\u540e\u4f7f\u7528Matplotlib\u663e\u793a\u539f\u56fe\u3001\u7070\u5ea6\u56fe\u548c\u8fb9\u7f18\u68c0\u6d4b\u7ed3\u679c\u3002\u8fd9\u79cd\u65b9\u5f0f\u7ed3\u5408\u4e86OpenCV\u7684\u9ad8\u6548\u56fe\u50cf\u5904\u7406\u80fd\u529b\u548cMatplotlib\u7684\u5f3a\u5927\u53ef\u89c6\u5316\u529f\u80fd\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u7684\u8be6\u7ec6\u4ecb\u7ecd\u548c\u793a\u4f8b\u4ee3\u7801\uff0c\u76f8\u4fe1\u60a8\u5df2\u7ecf\u5bf9\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\u6709\u4e86\u66f4\u6df1\u5165\u7684\u4e86\u89e3\u3002\u6839\u636e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u60a8\u66f4\u6709\u6548\u5730\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u548c\u5c55\u793a\u3002\u65e0\u8bba\u662f\u8fdb\u884c\u7b80\u5355\u7684\u56fe\u50cf\u67e5\u770b\uff0c\u8fd8\u662f\u590d\u6742\u7684\u56fe\u50cf\u5206\u6790\uff0c\u8fd9\u4e9b\u5de5\u5177\u90fd\u80fd\u4e3a\u60a8\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6\u548c\u663e\u793a\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6\uff1f<\/strong><br \/>Python\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u7684\u8bfb\u53d6\uff0c\u6bd4\u5982JPEG\u3001PNG\u3001BMP\u7b49\u3002\u4f7f\u7528PIL\uff08Pillow\uff09\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6\u8fd9\u4e9b\u683c\u5f0f\u3002\u9996\u5148\u5b89\u88c5Pillow\u5e93\uff0c\u7136\u540e\u4f7f\u7528<code>Image.open()<\/code>\u65b9\u6cd5\u8bfb\u53d6\u56fe\u50cf\u3002\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u4f7f\u7528<code>Image.show()<\/code>\u65b9\u6cd5\u663e\u793a\u56fe\u50cf\uff0c\u6216\u8005\u4f7f\u7528Matplotlib\u5e93\u7684<code>imshow()<\/code>\u51fd\u6570\u8fdb\u884c\u66f4\u590d\u6742\u7684\u663e\u793a\u548c\u5904\u7406\u3002<\/p>\n<p><strong>\u6211\u8be5\u5982\u4f55\u5904\u7406\u8bfb\u53d6\u7684\u56fe\u50cf\u6570\u636e\uff1f<\/strong><br \/>\u8bfb\u53d6\u56fe\u50cf\u540e\uff0c\u60a8\u53ef\u4ee5\u5bf9\u5176\u8fdb\u884c\u591a\u79cd\u5904\u7406\uff0c\u4f8b\u5982\u8c03\u6574\u5927\u5c0f\u3001\u88c1\u526a\u3001\u65cb\u8f6c\u6216\u5e94\u7528\u6ee4\u955c\u3002Pillow\u5e93\u63d0\u4f9b\u4e86\u5f88\u591a\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5982<code>resize()<\/code>\u3001<code>crop()<\/code>\u548c<code>rotate()<\/code>\u65b9\u6cd5\u3002\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u56fe\u50cf\u5206\u6790\uff0cOpenCV\u5e93\u4e5f\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u9009\u62e9\uff0c\u652f\u6301\u5404\u79cd\u56fe\u50cf\u5904\u7406\u7b97\u6cd5\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u529f\u80fd\u3002<\/p>\n<p><strong>\u5728\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\u65f6\uff0c\u5982\u4f55\u5904\u7406\u56fe\u50cf\u7684\u989c\u8272\u901a\u9053\uff1f<\/strong><br \/>\u56fe\u50cf\u901a\u5e38\u5177\u6709\u591a\u4e2a\u989c\u8272\u901a\u9053\uff0c\u4f8b\u5982RGB\u6216\u7070\u5ea6\u3002\u5728\u4f7f\u7528Pillow\u8bfb\u53d6\u56fe\u50cf\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>convert()<\/code>\u65b9\u6cd5\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u4e0d\u540c\u7684\u989c\u8272\u6a21\u5f0f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>convert(&#39;L&#39;)<\/code>\u53ef\u4ee5\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u6a21\u5f0f\u3002\u4e86\u89e3\u989c\u8272\u901a\u9053\u7684\u5904\u7406\u5bf9\u4e8e\u56fe\u50cf\u5206\u6790\u548c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u4efb\u52a1\u975e\u5e38\u91cd\u8981\uff0c\u786e\u4fdd\u5728\u663e\u793a\u65f6\u4f7f\u7528\u5408\u9002\u7684\u901a\u9053\u53ef\u4ee5\u589e\u5f3a\u56fe\u50cf\u7684\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528OpenCV\u3001PIL\uff08Pillow\uff09\u548cMatplotlib\u7b49\u5e93\u3002 \u8fd9\u4e9b [&hellip;]","protected":false},"author":3,"featured_media":982876,"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\/982868"}],"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=982868"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/982868\/revisions"}],"predecessor-version":[{"id":982880,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/982868\/revisions\/982880"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/982876"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=982868"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=982868"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=982868"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}