{"id":1129810,"date":"2025-01-08T20:32:51","date_gmt":"2025-01-08T12:32:51","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1129810.html"},"modified":"2025-01-08T20:32:53","modified_gmt":"2025-01-08T12:32:53","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e5%b0%86%e8%be%93%e5%85%a5%e7%9a%84%e5%9b%be%e7%89%87%e7%81%b0%e5%ba%a6%e5%8c%96","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1129810.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u5c06\u8f93\u5165\u7684\u56fe\u7247\u7070\u5ea6\u5316"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25100104\/cc9c1852-7d69-4e0f-ab7b-ce053c11620d.webp\" alt=\"python\u4e2d\u5982\u4f55\u5c06\u8f93\u5165\u7684\u56fe\u7247\u7070\u5ea6\u5316\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u5c06\u8f93\u5165\u7684\u56fe\u7247\u7070\u5ea6\u5316\u53ef\u4ee5\u901a\u8fc7\u591a\u4e2a\u65b9\u6cd5\u5b9e\u73b0\uff0c\u6bd4\u5982\u4f7f\u7528Pillow\u3001OpenCV\u548cScikit-image\u5e93\u3002<\/strong>\u5728\u8fd9\u4e9b\u65b9\u6cd5\u4e2d\uff0c\u6bcf\u4e00\u79cd\u90fd\u6709\u5176\u4f18\u70b9\u548c\u4f7f\u7528\u573a\u666f\uff0c\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u5e76\u89e3\u91ca\u5982\u4f55\u4f7f\u7528\u5b83\u4eec\u8fdb\u884c\u56fe\u50cf\u7070\u5ea6\u5316\u5904\u7406\u3002<\/p>\n<\/p>\n<h2><strong>\u4e00\u3001PILLOW\u5e93<\/strong><\/h2>\n<p><p>Pillow\u5e93\uff08\u524d\u8eab\u662fPIL\uff0c\u5373Python Imaging Library\uff09\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u3002\u901a\u8fc7Pillow\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u5f69\u8272\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h2>1. \u5b89\u88c5\u548c\u5bfc\u5165Pillow<\/h2>\n<\/p>\n<p><p>\u5728\u4f7f\u7528Pillow\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Pillow\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>2. \u52a0\u8f7d\u548c\u7070\u5ea6\u5316\u56fe\u50cf<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7Pillow\u5e93\u7684<code>Image<\/code>\u6a21\u5757\uff0c\u6211\u4eec\u53ef\u4ee5\u52a0\u8f7d\u56fe\u50cf\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6253\u5f00\u56fe\u50cf\u6587\u4ef6<\/p>\n<p>image = Image.open(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>gray_image = image.convert(&#39;L&#39;)<\/p>\n<h2><strong>\u4fdd\u5b58\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>gray_image.save(&#39;path_to_gray_image.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>gray_image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c<code>convert(&#39;L&#39;)<\/code>\u65b9\u6cd5\u7528\u4e8e\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u6a21\u5f0f\u3002<code>&#39;L&#39;<\/code>\u8868\u793a\u7070\u5ea6\u6a21\u5f0f\uff0c\u5176\u503c\u8303\u56f4\u4e3a0-255\uff0c\u5176\u4e2d0\u8868\u793a\u9ed1\u8272\uff0c255\u8868\u793a\u767d\u8272\u3002<\/p>\n<\/p>\n<h2><strong>\u4e8c\u3001OPENCV\u5e93<\/strong><\/h2>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u3002\u4f7f\u7528OpenCV\u4e5f\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h2>1. \u5b89\u88c5\u548c\u5bfc\u5165OpenCV<\/h2>\n<\/p>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5OpenCV\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165OpenCV\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>2. \u52a0\u8f7d\u548c\u7070\u5ea6\u5316\u56fe\u50cf<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7OpenCV\u7684<code>cv2<\/code>\u6a21\u5757\uff0c\u6211\u4eec\u53ef\u4ee5\u52a0\u8f7d\u56fe\u50cf\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6<\/p>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n<h2><strong>\u4fdd\u5b58\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imwrite(&#39;path_to_gray_image.jpg&#39;, gray_image)<\/p>\n<h2><strong>\u663e\u793a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imshow(&#39;Gray Image&#39;, gray_image)<\/p>\n<p>cv2.w<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>tKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c<code>cv2.imread()<\/code>\u7528\u4e8e\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\uff0c<code>cv2.cvtColor()<\/code>\u7528\u4e8e\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\uff0c<code>cv2.imwrite()<\/code>\u7528\u4e8e\u4fdd\u5b58\u7070\u5ea6\u56fe\u50cf\uff0c<code>cv2.imshow()<\/code>\u7528\u4e8e\u663e\u793a\u7070\u5ea6\u56fe\u50cf\u3002<\/p>\n<\/p>\n<h2><strong>\u4e09\u3001SCIKIT-IMAGE\u5e93<\/strong><\/h2>\n<p><p>Scikit-image\u662f\u4e00\u4e2a\u57fa\u4e8eSciPy\u6784\u5efa\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u901a\u8fc7Scikit-image\u5e93\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h2>1. \u5b89\u88c5\u548c\u5bfc\u5165Scikit-image<\/h2>\n<\/p>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5Scikit-image\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install scikit-image<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Scikit-image\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from skimage import io, color<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>2. \u52a0\u8f7d\u548c\u7070\u5ea6\u5316\u56fe\u50cf<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7Scikit-image\u7684<code>io<\/code>\u548c<code>color<\/code>\u6a21\u5757\uff0c\u6211\u4eec\u53ef\u4ee5\u52a0\u8f7d\u56fe\u50cf\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6<\/p>\n<p>image = io.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>gray_image = color.rgb2gray(image)<\/p>\n<h2><strong>\u4fdd\u5b58\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>io.imsave(&#39;path_to_gray_image.jpg&#39;, gray_image)<\/p>\n<h2><strong>\u663e\u793a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>io.imshow(gray_image)<\/p>\n<p>io.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c<code>io.imread()<\/code>\u7528\u4e8e\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\uff0c<code>color.rgb2gray()<\/code>\u7528\u4e8e\u5c06RGB\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\uff0c<code>io.imsave()<\/code>\u7528\u4e8e\u4fdd\u5b58\u7070\u5ea6\u56fe\u50cf\uff0c<code>io.imshow()<\/code>\u7528\u4e8e\u663e\u793a\u7070\u5ea6\u56fe\u50cf\u3002<\/p>\n<\/p>\n<h2><strong>\u56db\u3001\u7070\u5ea6\u5316\u56fe\u50cf\u7684\u5e94\u7528\u573a\u666f<\/strong><\/h2>\n<p><h2>1. \u56fe\u50cf\u5904\u7406\u548c\u5206\u6790<\/h2>\n<\/p>\n<p><p>\u7070\u5ea6\u56fe\u50cf\u5728\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\u4e2d\u5e94\u7528\u5e7f\u6cdb\u3002\u7531\u4e8e\u7070\u5ea6\u56fe\u50cf\u53ea\u5305\u542b\u4eae\u5ea6\u4fe1\u606f\uff0c\u6ca1\u6709\u989c\u8272\u4fe1\u606f\uff0c\u56e0\u6b64\u5904\u7406\u548c\u5206\u6790\u7070\u5ea6\u56fe\u50cf\u6bd4\u5f69\u8272\u56fe\u50cf\u66f4\u4e3a\u7b80\u5355\u548c\u9ad8\u6548\u3002\u4f8b\u5982\uff0c\u5728\u56fe\u50cf\u8fb9\u7f18\u68c0\u6d4b\u3001\u7279\u5f81\u63d0\u53d6\u548c\u6a21\u5f0f\u8bc6\u522b\u4e2d\uff0c\u901a\u5e38\u4f7f\u7528\u7070\u5ea6\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h2>2. \u8ba1\u7b97\u673a\u89c6\u89c9<\/h2>\n<\/p>\n<p><p>\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\uff0c\u7070\u5ea6\u56fe\u50cf\u540c\u6837\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u4f8b\u5982\uff0c\u5728\u76ee\u6807\u68c0\u6d4b\u3001\u56fe\u50cf\u5206\u5272\u548c\u56fe\u50cf\u914d\u51c6\u7b49\u4efb\u52a1\u4e2d\uff0c\u7070\u5ea6\u56fe\u50cf\u5e38\u5e38\u7528\u4f5c\u8f93\u5165\u6570\u636e\u3002\u901a\u8fc7\u51cf\u5c11\u989c\u8272\u4fe1\u606f\uff0c\u53ef\u4ee5\u964d\u4f4e\u8ba1\u7b97\u590d\u6742\u5ea6\uff0c\u63d0\u9ad8\u7b97\u6cd5\u7684\u6267\u884c\u6548\u7387\u3002<\/p>\n<\/p>\n<p><h2>3. \u56fe\u50cf\u538b\u7f29<\/h2>\n<\/p>\n<p><p>\u7070\u5ea6\u56fe\u50cf\u5728\u56fe\u50cf\u538b\u7f29\u4e2d\u4e5f\u6709\u91cd\u8981\u5e94\u7528\u3002\u7531\u4e8e\u7070\u5ea6\u56fe\u50cf\u53ea\u5305\u542b\u4e00\u4e2a\u901a\u9053\uff08\u4eae\u5ea6\u901a\u9053\uff09\uff0c\u800c\u5f69\u8272\u56fe\u50cf\u901a\u5e38\u5305\u542b\u4e09\u4e2a\u901a\u9053\uff08\u7ea2\u3001\u7eff\u3001\u84dd\uff09\uff0c\u56e0\u6b64\u7070\u5ea6\u56fe\u50cf\u7684\u5b58\u50a8\u548c\u4f20\u8f93\u5360\u7528\u7684\u7a7a\u95f4\u8f83\u5c0f\u3002\u5728\u4e00\u4e9b\u5bf9\u989c\u8272\u4fe1\u606f\u8981\u6c42\u4e0d\u9ad8\u7684\u5e94\u7528\u573a\u666f\u4e2d\uff0c\u4f7f\u7528\u7070\u5ea6\u56fe\u50cf\u53ef\u4ee5\u8282\u7701\u5b58\u50a8\u548c\u5e26\u5bbd\u8d44\u6e90\u3002<\/p>\n<\/p>\n<h2><strong>\u4e94\u3001\u603b\u7ed3<\/strong><\/h2>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u5728Python\u4e2d\u5982\u4f55\u4f7f\u7528Pillow\u3001OpenCV\u548cScikit-image\u5e93\u5c06\u8f93\u5165\u7684\u56fe\u7247\u7070\u5ea6\u5316\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u70b9\u548c\u9002\u7528\u573a\u666f\uff0c\u5177\u4f53\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u548c\u4e2a\u4eba\u4e60\u60ef\u8fdb\u884c\u51b3\u5b9a\u3002\u65e0\u8bba\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0c\u5173\u952e\u5728\u4e8e\u7406\u89e3\u56fe\u50cf\u7070\u5ea6\u5316\u7684\u539f\u7406\u548c\u5e94\u7528\u573a\u666f\uff0c\u4ee5\u4fbf\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u66f4\u597d\u5730\u5e94\u7528\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u4f60\u5728Python\u4e2d\u5904\u7406\u56fe\u50cf\u7070\u5ea6\u5316\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u56fe\u7247\u5e76\u8fdb\u884c\u7070\u5ea6\u5316\u5904\u7406\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528PIL\uff08Python Imaging Library\uff09\u5e93\u6216OpenCV\u5e93\u6765\u8bfb\u53d6\u56fe\u7247\u5e76\u8fdb\u884c\u7070\u5ea6\u5316\u5904\u7406\u3002\u4f7f\u7528PIL\u5e93\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7<code>Image.open()<\/code>\u65b9\u6cd5\u8bfb\u53d6\u56fe\u7247\uff0c\u7136\u540e\u4f7f\u7528<code>convert(&#39;L&#39;)<\/code>\u65b9\u6cd5\u5c06\u5176\u8f6c\u4e3a\u7070\u5ea6\u56fe\u50cf\u3002\u4f7f\u7528OpenCV\u5e93\u5219\u53ef\u4ee5\u901a\u8fc7<code>cv2.imread()<\/code>\u8bfb\u53d6\u56fe\u7247\uff0c\u5e76\u4f7f\u7528<code>cv2.cvtColor()<\/code>\u51fd\u6570\u5c06\u5176\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u3002<\/p>\n<p><strong>\u7070\u5ea6\u5316\u5904\u7406\u5bf9\u56fe\u50cf\u6709\u4ec0\u4e48\u5f71\u54cd\uff1f<\/strong><br \/>\u7070\u5ea6\u5316\u5904\u7406\u4f1a\u5c06\u5f69\u8272\u56fe\u50cf\u8f6c\u6362\u4e3a\u53ea\u6709\u9ed1\u767d\u4e24\u79cd\u989c\u8272\u7684\u56fe\u50cf\u3002\u6b64\u8fc7\u7a0b\u80fd\u51cf\u5c0f\u56fe\u50cf\u7684\u590d\u6742\u6027\uff0c\u6709\u52a9\u4e8e\u5728\u540e\u7eed\u7684\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\u4e2d\u63d0\u9ad8\u6548\u7387\u3002\u7070\u5ea6\u56fe\u50cf\u5e38\u7528\u4e8e\u8fb9\u7f18\u68c0\u6d4b\u3001\u7279\u5f81\u63d0\u53d6\u7b49\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\uff0c\u56e0\u4e3a\u5b83\u4eec\u901a\u5e38\u51cf\u5c11\u4e86\u8ba1\u7b97\u91cf\u5e76\u7a81\u51fa\u4e86\u91cd\u8981\u7684\u56fe\u50cf\u4fe1\u606f\u3002<\/p>\n<p><strong>\u6709\u6ca1\u6709\u7b80\u5355\u7684\u4ee3\u7801\u793a\u4f8b\u53ef\u4ee5\u53c2\u8003\uff1f<\/strong><br \/>\u5f53\u7136\u53ef\u4ee5\uff01\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528PIL\u5e93\u5c06\u8f93\u5165\u56fe\u7247\u7070\u5ea6\u5316\u7684\u7b80\u5355\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<pre><code class=\"language-python\">from PIL import Image\n\n# \u8bfb\u53d6\u56fe\u7247\nimage = Image.open(&#39;input_image.jpg&#39;)\n\n# \u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\ngray_image = image.convert(&#39;L&#39;)\n\n# \u4fdd\u5b58\u7070\u5ea6\u56fe\ngray_image.save(&#39;output_image.jpg&#39;)\n<\/code><\/pre>\n<p>\u5982\u679c\u4f7f\u7528OpenCV\uff0c\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">import cv2\n\n# \u8bfb\u53d6\u56fe\u7247\nimage = cv2.imread(&#39;input_image.jpg&#39;)\n\n# \u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\ngray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n\n# \u4fdd\u5b58\u7070\u5ea6\u56fe\ncv2.imwrite(&#39;output_image.jpg&#39;, gray_image)\n<\/code><\/pre>\n<p>\u8fd9\u4e9b\u4ee3\u7801\u80fd\u591f\u5e2e\u52a9\u4f60\u5feb\u901f\u5b9e\u73b0\u56fe\u7247\u7684\u7070\u5ea6\u5316\u5904\u7406\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u5c06\u8f93\u5165\u7684\u56fe\u7247\u7070\u5ea6\u5316\u53ef\u4ee5\u901a\u8fc7\u591a\u4e2a\u65b9\u6cd5\u5b9e\u73b0\uff0c\u6bd4\u5982\u4f7f\u7528Pillow\u3001OpenCV\u548cScikit-i [&hellip;]","protected":false},"author":3,"featured_media":1129817,"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\/1129810"}],"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=1129810"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1129810\/revisions"}],"predecessor-version":[{"id":1129819,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1129810\/revisions\/1129819"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1129817"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1129810"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1129810"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1129810"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}