{"id":1036826,"date":"2024-12-31T12:10:00","date_gmt":"2024-12-31T04:10:00","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1036826.html"},"modified":"2024-12-31T12:10:03","modified_gmt":"2024-12-31T04:10:03","slug":"python%e5%a6%82%e4%bd%95%e6%a0%b9%e6%8d%ae%e6%b3%a2%e5%bd%a2%e5%9b%be%e7%81%b0%e5%ba%a6%e5%8c%96","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1036826.html","title":{"rendered":"python\u5982\u4f55\u6839\u636e\u6ce2\u5f62\u56fe\u7070\u5ea6\u5316"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/5a5229c5-4ed0-4813-997e-ceed3455b4e1.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u5982\u4f55\u6839\u636e\u6ce2\u5f62\u56fe\u7070\u5ea6\u5316\" \/><\/p>\n<p><p> <strong>Python\u6839\u636e\u6ce2\u5f62\u56fe\u7070\u5ea6\u5316\u7684\u65b9\u6cd5<\/strong>\u6709\uff1a\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3001\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u3001\u4fdd\u5b58\u7070\u5ea6\u56fe\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff0c\u5373\u901a\u8fc7\u4f7f\u7528Python\u7684OpenCV\u5e93\u6765\u5b9e\u73b0\u8be5\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n<p><p><strong>\u9996\u5148\uff0c\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u53ef\u4ee5\u5c06\u6ce2\u5f62\u56fe\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\uff1a<\/strong><\/p>\n<\/p>\n<ol>\n<li><strong>\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6<\/strong>\uff1a\u4f7f\u7528OpenCV\u7684<code>imread<\/code>\u51fd\u6570\u6765\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3002  <\/li>\n<li><strong>\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe<\/strong>\uff1a\u4f7f\u7528OpenCV\u7684<code>cvtColor<\/code>\u51fd\u6570\u5c06\u8bfb\u53d6\u7684\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u3002  <\/li>\n<li><strong>\u4fdd\u5b58\u7070\u5ea6\u56fe<\/strong>\uff1a\u4f7f\u7528OpenCV\u7684<code>imwrite<\/code>\u51fd\u6570\u5c06\u7070\u5ea6\u56fe\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002<\/li>\n<\/ol>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u6b65\u9aa4\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u662f\u7070\u5ea6\u5316\u8fc7\u7a0b\u7684\u7b2c\u4e00\u6b65\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528OpenCV\u5e93\u4e2d\u7684<code>imread<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6<\/strong><\/h2>\n<p>image = cv2.imread(&#39;waveform.png&#39;)  # \u66ff\u6362\u4e3a\u5b9e\u9645\u7684\u56fe\u50cf\u8def\u5f84<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c<code>waveform.png<\/code>\u662f\u6211\u4eec\u8981\u8bfb\u53d6\u7684\u6ce2\u5f62\u56fe\u7684\u6587\u4ef6\u540d\u3002<code>cv2.imread<\/code>\u51fd\u6570\u4f1a\u8bfb\u53d6\u8be5\u56fe\u50cf\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u53d8\u91cf<code>image<\/code>\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe<\/h3>\n<\/p>\n<p><p>\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u4e4b\u540e\uff0c\u6211\u4eec\u9700\u8981\u5c06\u5176\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u3002\u53ef\u4ee5\u4f7f\u7528OpenCV\u5e93\u4e2d\u7684<code>cvtColor<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4ee5\u4e0b\u662f\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe<\/p>\n<p>gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c<code>cv2.cvtColor<\/code>\u51fd\u6570\u5c06\u5f69\u8272\u56fe\u50cf<code>image<\/code>\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u53d8\u91cf<code>gray_image<\/code>\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4fdd\u5b58\u7070\u5ea6\u56fe<\/h3>\n<\/p>\n<p><p>\u6700\u540e\uff0c\u6211\u4eec\u9700\u8981\u5c06\u8f6c\u6362\u540e\u7684\u7070\u5ea6\u56fe\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528OpenCV\u5e93\u4e2d\u7684<code>imwrite<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4ee5\u4e0b\u662f\u4fdd\u5b58\u7070\u5ea6\u56fe\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fdd\u5b58\u7070\u5ea6\u56fe<\/p>\n<p>cv2.imwrite(&#39;gray_waveform.png&#39;, gray_image)  # \u66ff\u6362\u4e3a\u5b9e\u9645\u7684\u4fdd\u5b58\u8def\u5f84<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c<code>gray_waveform.png<\/code>\u662f\u6211\u4eec\u8981\u4fdd\u5b58\u7684\u7070\u5ea6\u56fe\u7684\u6587\u4ef6\u540d\u3002<code>cv2.imwrite<\/code>\u51fd\u6570\u4f1a\u5c06\u7070\u5ea6\u56fe\u4fdd\u5b58\u5230\u8be5\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u7efc\u5408\u4ee3\u7801\u793a\u4f8b<\/h3>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u5c06\u4e0a\u8ff0\u6b65\u9aa4\u7efc\u5408\u5230\u4e00\u8d77\u7684\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6<\/strong><\/h2>\n<p>image = cv2.imread(&#39;waveform.png&#39;)  # \u66ff\u6362\u4e3a\u5b9e\u9645\u7684\u56fe\u50cf\u8def\u5f84<\/p>\n<h2><strong>\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe<\/strong><\/h2>\n<p>gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n<h2><strong>\u4fdd\u5b58\u7070\u5ea6\u56fe<\/strong><\/h2>\n<p>cv2.imwrite(&#39;gray_waveform.png&#39;, gray_image)  # \u66ff\u6362\u4e3a\u5b9e\u9645\u7684\u4fdd\u5b58\u8def\u5f84<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6ce2\u5f62\u56fe\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u3002<\/strong><\/p>\n<\/p>\n<p><h3>\u56db\u3001\u6269\u5c55\u5185\u5bb9\uff1a\u5229\u7528\u5176\u4ed6\u5e93\u8fdb\u884c\u56fe\u50cf\u7070\u5ea6\u5316<\/h3>\n<\/p>\n<p><p>\u9664\u4e86OpenCV\uff0c\u8fd8\u6709\u5176\u4ed6\u5e93\u53ef\u4ee5\u7528\u6765\u5b9e\u73b0\u56fe\u50cf\u7070\u5ea6\u5316\uff0c\u4f8b\u5982Pillow\uff08PIL\uff09\u5e93\u3002\u4e0b\u9762\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u50cf\u7070\u5ea6\u5316\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u7070\u5ea6\u5316<\/h4>\n<\/p>\n<p><p>Pillow\u662fPython Imaging Library\uff08PIL\uff09\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u50cf\u7070\u5ea6\u5316\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u5b89\u88c5Pillow\u5e93<\/strong>\uff1a\u5982\u679c\u5c1a\u672a\u5b89\u88c5Pillow\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-sh\">pip install pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6<\/strong>\uff1a\u4f7f\u7528Pillow\u5e93\u7684<code>Image.open<\/code>\u51fd\u6570\u6765\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe<\/strong>\uff1a\u4f7f\u7528Pillow\u5e93\u7684<code>convert<\/code>\u51fd\u6570\u5c06\u8bfb\u53d6\u7684\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4fdd\u5b58\u7070\u5ea6\u56fe<\/strong>\uff1a\u4f7f\u7528Pillow\u5e93\u7684<code>save<\/code>\u51fd\u6570\u5c06\u7070\u5ea6\u56fe\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n<p><p>\u4ee5\u4e0b\u662f\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u50cf\u7070\u5ea6\u5316\u7684\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\u50cf\u6587\u4ef6<\/strong><\/h2>\n<p>image = Image.open(&#39;waveform.png&#39;)  # \u66ff\u6362\u4e3a\u5b9e\u9645\u7684\u56fe\u50cf\u8def\u5f84<\/p>\n<h2><strong>\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe<\/strong><\/h2>\n<p>gray_image = image.convert(&#39;L&#39;)<\/p>\n<h2><strong>\u4fdd\u5b58\u7070\u5ea6\u56fe<\/strong><\/h2>\n<p>gray_image.save(&#39;gray_waveform_pillow.png&#39;)  # \u66ff\u6362\u4e3a\u5b9e\u9645\u7684\u4fdd\u5b58\u8def\u5f84<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c<code>waveform.png<\/code>\u662f\u6211\u4eec\u8981\u8bfb\u53d6\u7684\u6ce2\u5f62\u56fe\u7684\u6587\u4ef6\u540d\uff0c<code>gray_waveform_pillow.png<\/code>\u662f\u6211\u4eec\u8981\u4fdd\u5b58\u7684\u7070\u5ea6\u56fe\u7684\u6587\u4ef6\u540d\u3002<code>Image.open<\/code>\u51fd\u6570\u4f1a\u8bfb\u53d6\u56fe\u50cf\uff0c<code>convert<\/code>\u51fd\u6570\u4f1a\u5c06\u5176\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\uff0c<code>save<\/code>\u51fd\u6570\u4f1a\u5c06\u7070\u5ea6\u56fe\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u56fe\u50cf\u7070\u5ea6\u5316\u7684\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n<p><p>\u56fe\u50cf\u7070\u5ea6\u5316\u5728\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\u6709\u5f88\u591a\u5e94\u7528\u573a\u666f\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n<ol>\n<li><strong>\u56fe\u50cf\u9884\u5904\u7406<\/strong>\uff1a\u5728\u8bb8\u591a\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u4e2d\uff0c\u56fe\u50cf\u7070\u5ea6\u5316\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u9884\u5904\u7406\u6b65\u9aa4\u3002\u7070\u5ea6\u56fe\u50cf\u6bd4\u5f69\u8272\u56fe\u50cf\u7b80\u5355\uff0c\u53ef\u4ee5\u51cf\u5c11\u8ba1\u7b97\u590d\u6742\u5ea6\uff0c\u4ece\u800c\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002<\/li>\n<li><strong>\u56fe\u50cf\u5206\u5272<\/strong>\uff1a\u7070\u5ea6\u56fe\u50cf\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5206\u5272\u4efb\u52a1\uff0c\u901a\u8fc7\u5bf9\u7070\u5ea6\u503c\u8fdb\u884c\u9608\u503c\u5904\u7406\uff0c\u53ef\u4ee5\u5c06\u56fe\u50cf\u4e2d\u7684\u524d\u666f\u548c\u80cc\u666f\u5206\u5272\u5f00\u6765\u3002<\/li>\n<li><strong>\u7279\u5f81\u63d0\u53d6<\/strong>\uff1a\u5728\u8bb8\u591a\u8ba1\u7b97\u673a\u89c6\u89c9\u7b97\u6cd5\u4e2d\uff0c\u7279\u5f81\u63d0\u53d6\u662f\u4e00\u4e2a\u91cd\u8981\u6b65\u9aa4\u3002\u7070\u5ea6\u56fe\u50cf\u53ef\u4ee5\u7528\u4e8e\u63d0\u53d6\u8fb9\u7f18\u3001\u7eb9\u7406\u7b49\u7279\u5f81\uff0c\u4ece\u800c\u7528\u4e8e\u56fe\u50cf\u5339\u914d\u548c\u8bc6\u522b\u4efb\u52a1\u3002<\/li>\n<li><strong>\u56fe\u50cf\u589e\u5f3a<\/strong>\uff1a\u7070\u5ea6\u56fe\u50cf\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u589e\u5f3a\u4efb\u52a1\uff0c\u4f8b\u5982\u5bf9\u6bd4\u5ea6\u589e\u5f3a\u3001\u53bb\u566a\u7b49\u3002\u7070\u5ea6\u56fe\u50cf\u6bd4\u5f69\u8272\u56fe\u50cf\u66f4\u6613\u4e8e\u5904\u7406\uff0c\u53ef\u4ee5\u901a\u8fc7\u5404\u79cd\u56fe\u50cf\u5904\u7406\u7b97\u6cd5\u8fdb\u884c\u589e\u5f3a\u3002<\/li>\n<\/ol>\n<p><h3>\u516d\u3001\u56fe\u50cf\u7070\u5ea6\u5316\u7684\u539f\u7406<\/h3>\n<\/p>\n<p><p>\u56fe\u50cf\u7070\u5ea6\u5316\u7684\u539f\u7406\u662f\u5c06\u5f69\u8272\u56fe\u50cf\u4e2d\u7684\u6bcf\u4e2a\u50cf\u7d20\u7684\u989c\u8272\u503c\u8f6c\u6362\u4e3a\u4e00\u4e2a\u7070\u5ea6\u503c\u3002\u7070\u5ea6\u503c\u901a\u5e38\u662f\u6839\u636e\u50cf\u7d20\u7684\u7ea2\u8272\u3001\u7eff\u8272\u548c\u84dd\u8272\u901a\u9053\u7684\u52a0\u6743\u5e73\u5747\u503c\u8ba1\u7b97\u7684\u3002\u4ee5\u4e0b\u662f\u5e38\u89c1\u7684\u7070\u5ea6\u5316\u516c\u5f0f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">gray_value = 0.2989 * red + 0.5870 * green + 0.1140 * blue<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u516c\u5f0f\u4e2d\uff0c<code>red<\/code>\u3001<code>green<\/code>\u548c<code>blue<\/code>\u5206\u522b\u662f\u50cf\u7d20\u7684\u7ea2\u8272\u3001\u7eff\u8272\u548c\u84dd\u8272\u901a\u9053\u7684\u503c\uff0c<code>gray_value<\/code>\u662f\u8ba1\u7b97\u5f97\u5230\u7684\u7070\u5ea6\u503c\u3002\u8fd9\u4e2a\u516c\u5f0f\u4e2d\u7684\u6743\u91cd\u503c\u662f\u6839\u636e\u4eba\u773c\u5bf9\u4e0d\u540c\u989c\u8272\u7684\u654f\u611f\u5ea6\u786e\u5b9a\u7684\uff0c\u4eba\u773c\u5bf9\u7eff\u8272\u6700\u654f\u611f\uff0c\u5bf9\u84dd\u8272\u6700\u4e0d\u654f\u611f\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u9762\u7684\u516c\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u5f69\u8272\u56fe\u50cf\u4e2d\u7684\u6bcf\u4e2a\u50cf\u7d20\u7684\u989c\u8272\u503c\u8f6c\u6362\u4e3a\u4e00\u4e2a\u7070\u5ea6\u503c\uff0c\u4ece\u800c\u5f97\u5230\u7070\u5ea6\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h3>\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u672c\u6587\u4ecb\u7ecd\u4e86\u4f7f\u7528Python\u6839\u636e\u6ce2\u5f62\u56fe\u7070\u5ea6\u5316\u7684\u65b9\u6cd5\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528OpenCV\u5e93\u548cPillow\u5e93\u4e24\u79cd\u65b9\u6cd5\u3002\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3001\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u548c\u4fdd\u5b58\u7070\u5ea6\u56fe\u7684\u6b65\u9aa4\uff0c\u5e76\u63d0\u4f9b\u4e86\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\u3002\u6b64\u5916\uff0c\u8fd8\u4ecb\u7ecd\u4e86\u56fe\u50cf\u7070\u5ea6\u5316\u7684\u5e94\u7528\u573a\u666f\u548c\u539f\u7406\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u5e0c\u671b\u8bfb\u8005\u80fd\u591f\u638c\u63e1\u5982\u4f55\u4f7f\u7528Python\u6839\u636e\u6ce2\u5f62\u56fe\u8fdb\u884c\u7070\u5ea6\u5316\uff0c\u5e76\u4e86\u89e3\u56fe\u50cf\u7070\u5ea6\u5316\u5728\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\u7684\u5e94\u7528\u3002\u5982\u679c\u6709\u66f4\u591a\u9700\u6c42\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u4e00\u6b65\u7814\u7a76\u548c\u5e94\u7528\u5176\u4ed6\u56fe\u50cf\u5904\u7406\u6280\u672f\uff0c\u4ee5\u6ee1\u8db3\u5b9e\u9645\u9879\u76ee\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u6ce2\u5f62\u56fe\u5e76\u8fdb\u884c\u7070\u5ea6\u5316\u5904\u7406\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u6765\u8bfb\u53d6\u6ce2\u5f62\u56fe\u50cf\u5e76\u8fdb\u884c\u7070\u5ea6\u5316\u5904\u7406\u3002\u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5Pillow\u5e93\uff0c\u7136\u540e\u4f7f\u7528<code>Image.open()<\/code>\u65b9\u6cd5\u8bfb\u53d6\u56fe\u50cf\uff0c\u63a5\u7740\u8c03\u7528<code>convert(&#39;L&#39;)<\/code>\u65b9\u6cd5\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u6a21\u5f0f\uff0c\u6700\u540e\u4f7f\u7528<code>save()<\/code>\u65b9\u6cd5\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<p><strong>\u7070\u5ea6\u5316\u5904\u7406\u5bf9\u6ce2\u5f62\u56fe\u5206\u6790\u6709\u4ec0\u4e48\u597d\u5904\uff1f<\/strong><br \/>\u7070\u5ea6\u5316\u5904\u7406\u53ef\u4ee5\u51cf\u5c11\u56fe\u50cf\u6570\u636e\u7684\u590d\u6742\u6027\uff0c\u4f7f\u5f97\u6ce2\u5f62\u56fe\u7684\u7279\u5f81\u66f4\u52a0\u7a81\u51fa\u3002\u5728\u8fdb\u884c\u56fe\u50cf\u8bc6\u522b\u6216<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u4efb\u52a1\u65f6\uff0c\u7070\u5ea6\u56fe\u50cf\u901a\u5e38\u53ef\u4ee5\u63d0\u9ad8\u7b97\u6cd5\u7684\u6548\u7387\uff0c\u56e0\u4e3a\u5b83\u4eec\u964d\u4f4e\u4e86\u8ba1\u7b97\u91cf\u5e76\u4fdd\u7559\u4e86\u91cd\u8981\u7684\u7ed3\u6784\u4fe1\u606f\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528OpenCV\u8fdb\u884c\u6ce2\u5f62\u56fe\u7684\u7070\u5ea6\u5316\uff1f<\/strong><br \/>\u4f7f\u7528OpenCV\u5e93\u8fdb\u884c\u6ce2\u5f62\u56fe\u7684\u7070\u5ea6\u5316\u975e\u5e38\u7b80\u5355\u3002\u9996\u5148\uff0c\u5bfc\u5165OpenCV\u5e93\u5e76\u4f7f\u7528<code>cv2.imread()<\/code>\u65b9\u6cd5\u8bfb\u53d6\u6ce2\u5f62\u56fe\u3002\u63a5\u7740\uff0c\u53ef\u4ee5\u4f7f\u7528<code>cv2.cvtColor()<\/code>\u51fd\u6570\uff0c\u5c06\u56fe\u50cf\u4eceBGR\u6a21\u5f0f\u8f6c\u6362\u4e3a\u7070\u5ea6\u6a21\u5f0f\u3002\u6700\u540e\uff0c\u4f7f\u7528<code>cv2.imwrite()<\/code>\u65b9\u6cd5\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u50cf\u3002\u8fd9\u79cd\u65b9\u6cd5\u5e7f\u6cdb\u5e94\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u6839\u636e\u6ce2\u5f62\u56fe\u7070\u5ea6\u5316\u7684\u65b9\u6cd5\u6709\uff1a\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\u3001\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u3001\u4fdd\u5b58\u7070\u5ea6\u56fe\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff0c\u5373\u901a\u8fc7 [&hellip;]","protected":false},"author":3,"featured_media":1036836,"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\/1036826"}],"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=1036826"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1036826\/revisions"}],"predecessor-version":[{"id":1036839,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1036826\/revisions\/1036839"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1036836"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1036826"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1036826"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1036826"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}