{"id":1078812,"date":"2025-01-08T12:15:05","date_gmt":"2025-01-08T04:15:05","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1078812.html"},"modified":"2025-01-08T12:15:08","modified_gmt":"2025-01-08T04:15:08","slug":"python%e5%a6%82%e4%bd%95%e6%8f%90%e5%8f%96%e5%9b%be%e7%89%87%e7%9a%84%e5%83%8f%e7%b4%a0%e7%82%b9-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1078812.html","title":{"rendered":"python\u5982\u4f55\u63d0\u53d6\u56fe\u7247\u7684\u50cf\u7d20\u70b9"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24182152\/d76cf3d0-cb9e-48cc-8fca-b894fa1f8efa.webp\" alt=\"python\u5982\u4f55\u63d0\u53d6\u56fe\u7247\u7684\u50cf\u7d20\u70b9\" \/><\/p>\n<p><p> \u8981\u63d0\u53d6\u56fe\u7247\u7684\u50cf\u7d20\u70b9\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684Pillow\u5e93\u3002Pillow\u662fPython\u56fe\u50cf\u5e93 (PIL) \u7684\u4e00\u4e2a\u5206\u652f\u548c\u53cb\u597d\u7248\u672c\u3002\u5b83\u4e3a\u56fe\u50cf\u5904\u7406\u63d0\u4f9b\u4e86\u65b9\u4fbf\u7684\u5de5\u5177\u3002\u901a\u8fc7Pillow\u5e93\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u8bfb\u53d6\u56fe\u50cf\u5e76\u83b7\u53d6\u5176\u50cf\u7d20\u6570\u636e\u3002<strong>\u4f7f\u7528Pillow\u5e93\u3001\u8bfb\u53d6\u56fe\u50cf\u3001\u83b7\u53d6\u50cf\u7d20\u6570\u636e\u3001\u5904\u7406\u548c\u64cd\u4f5c\u50cf\u7d20\u6570\u636e<\/strong>\u662f\u63d0\u53d6\u56fe\u7247\u50cf\u7d20\u70b9\u7684\u6838\u5fc3\u6b65\u9aa4\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u7684\u5b9e\u73b0\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Pillow\u5e93\uff0c\u5982\u679c\u6ca1\u6709\u5b89\u88c5\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 Pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\u662f\u5177\u4f53\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u6253\u5f00\u56fe\u7247<\/strong><\/h2>\n<p>image = Image.open(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u83b7\u53d6\u56fe\u7247\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6<\/strong><\/h2>\n<p>width, height = image.size<\/p>\n<h2><strong>\u52a0\u8f7d\u56fe\u7247\u50cf\u7d20\u6570\u636e<\/strong><\/h2>\n<p>pixels = image.load()<\/p>\n<h2><strong>\u6253\u5370\u56fe\u7247\u7684\u6bcf\u4e2a\u50cf\u7d20\u70b9<\/strong><\/h2>\n<p>for y in range(height):<\/p>\n<p>    for x in range(width):<\/p>\n<p>        print(pixels[x, y])  # \u83b7\u53d6(x, y)\u4f4d\u7f6e\u7684\u50cf\u7d20\u503c<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528Pillow\u5e93<\/h3>\n<\/p>\n<p><p>Pillow\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5e93\uff0c\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\uff0c\u8fd8\u53ef\u4ee5\u5bf9\u56fe\u50cf\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\uff0c\u5982\u88c1\u526a\u3001\u8c03\u6574\u5927\u5c0f\u3001\u65cb\u8f6c\u7b49\u3002\u901a\u8fc7Pillow\u5e93\uff0c\u4f60\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u63d0\u53d6\u548c\u64cd\u4f5c\u56fe\u50cf\u7684\u50cf\u7d20\u6570\u636e\u3002<\/p>\n<\/p>\n<p><p>Pillow\u5e93\u7684\u4f7f\u7528\u975e\u5e38\u7b80\u5355\uff0c\u9996\u5148\u9700\u8981\u5bfc\u5165\u5e93\uff0c\u7136\u540e\u4f7f\u7528<code>Image.open<\/code>\u65b9\u6cd5\u6253\u5f00\u56fe\u50cf\u3002\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528<code>image.load<\/code>\u65b9\u6cd5\u52a0\u8f7d\u56fe\u50cf\u7684\u50cf\u7d20\u6570\u636e\u3002\u901a\u8fc7\u53cc\u91cd\u5faa\u73af\u904d\u5386\u56fe\u50cf\u7684\u6bcf\u4e2a\u50cf\u7d20\u70b9\uff0c\u5e76\u6253\u5370\u51fa\u6bcf\u4e2a\u50cf\u7d20\u70b9\u7684\u503c\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u8bfb\u53d6\u56fe\u50cf<\/h3>\n<\/p>\n<p><p>\u8bfb\u53d6\u56fe\u50cf\u662f\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u7684\u7b2c\u4e00\u6b65\u3002\u901a\u8fc7Pillow\u5e93\u7684<code>Image.open<\/code>\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6\u548c\u6253\u5f00\u56fe\u50cf\u3002\u8fd9\u4e2a\u65b9\u6cd5\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u5982JPEG\u3001PNG\u3001BMP\u7b49\u3002<\/p>\n<\/p>\n<p><p>\u5f53\u56fe\u50cf\u88ab\u8bfb\u53d6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>image.size<\/code>\u83b7\u53d6\u56fe\u50cf\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u3002\u8fd9\u4e9b\u4fe1\u606f\u5728\u904d\u5386\u56fe\u50cf\u50cf\u7d20\u65f6\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u83b7\u53d6\u50cf\u7d20\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u83b7\u53d6\u50cf\u7d20\u6570\u636e\u662f\u56fe\u50cf\u5904\u7406\u7684\u6838\u5fc3\u6b65\u9aa4\u3002\u901a\u8fc7<code>image.load<\/code>\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u52a0\u8f7d\u56fe\u50cf\u7684\u50cf\u7d20\u6570\u636e\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2a\u50cf\u7d20\u8bbf\u95ee\u5bf9\u8c61\u4e2d\u3002\u8fd9\u4e2a\u5bf9\u8c61\u652f\u6301\u4f7f\u7528<code>pixels[x, y]<\/code>\u7684\u65b9\u5f0f\u8bbf\u95ee\u7279\u5b9a\u4f4d\u7f6e\u7684\u50cf\u7d20\u503c\u3002<\/p>\n<\/p>\n<p><p>\u50cf\u7d20\u503c\u7684\u683c\u5f0f\u53d6\u51b3\u4e8e\u56fe\u50cf\u7684\u6a21\u5f0f\u3002\u5bf9\u4e8eRGB\u56fe\u50cf\uff0c\u50cf\u7d20\u503c\u662f\u4e00\u4e2a\u5305\u542b\u7ea2\u8272\u3001\u7eff\u8272\u548c\u84dd\u8272\u4e09\u4e2a\u901a\u9053\u503c\u7684\u5143\u7ec4\u3002\u5bf9\u4e8e\u7070\u5ea6\u56fe\u50cf\uff0c\u50cf\u7d20\u503c\u662f\u4e00\u4e2a\u5355\u4e00\u7684\u7070\u5ea6\u503c\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5904\u7406\u548c\u64cd\u4f5c\u50cf\u7d20\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u63d0\u53d6\u50cf\u7d20\u6570\u636e\u540e\uff0c\u4f60\u53ef\u4ee5\u5bf9\u5176\u8fdb\u884c\u5404\u79cd\u5904\u7406\u548c\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u6839\u636e\u50cf\u7d20\u503c\u8fdb\u884c\u56fe\u50cf\u7684\u4e8c\u503c\u5316\u5904\u7406\uff0c\u5373\u5c06\u56fe\u50cf\u4e2d\u7684\u50cf\u7d20\u503c\u8f6c\u6362\u4e3a0\u6216255\u3002\u4e5f\u53ef\u4ee5\u8fdb\u884c\u56fe\u50cf\u7684\u6ee4\u6ce2\u5904\u7406\uff0c\u5982\u5747\u503c\u6ee4\u6ce2\u3001\u9ad8\u65af\u6ee4\u6ce2\u7b49\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u5bf9\u50cf\u7d20\u6570\u636e\u7684\u64cd\u4f5c\uff0c\u4f60\u53ef\u4ee5\u5b9e\u73b0\u5404\u79cd\u56fe\u50cf\u5904\u7406\u7b97\u6cd5\uff0c\u5982\u8fb9\u7f18\u68c0\u6d4b\u3001\u8f6e\u5ed3\u63d0\u53d6\u3001\u56fe\u50cf\u5206\u5272\u7b49\u3002\u8fd9\u4e9b\u7b97\u6cd5\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u56fe\u50cf\u5904\u7406\u9886\u57df\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\u3002<\/p>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Pillow\u5e93\u5bf9\u56fe\u50cf\u8fdb\u884c\u4e8c\u503c\u5316\u5904\u7406\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u6253\u5f00\u56fe\u7247<\/strong><\/h2>\n<p>image = Image.open(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>gray_image = image.convert(&#39;L&#39;)<\/p>\n<h2><strong>\u83b7\u53d6\u56fe\u7247\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6<\/strong><\/h2>\n<p>width, height = gray_image.size<\/p>\n<h2><strong>\u52a0\u8f7d\u56fe\u7247\u50cf\u7d20\u6570\u636e<\/strong><\/h2>\n<p>pixels = gray_image.load()<\/p>\n<h2><strong>\u4e8c\u503c\u5316\u5904\u7406<\/strong><\/h2>\n<p>threshold = 128<\/p>\n<p>for y in range(height):<\/p>\n<p>    for x in range(width):<\/p>\n<p>        if pixels[x, y] &lt; threshold:<\/p>\n<p>            pixels[x, y] = 0<\/p>\n<p>        else:<\/p>\n<p>            pixels[x, y] = 255<\/p>\n<h2><strong>\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>gray_image.save(&#39;binarized_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u5b9e\u9645\u5e94\u7528<\/h3>\n<\/p>\n<p><p>\u56fe\u50cf\u50cf\u7d20\u6570\u636e\u7684\u63d0\u53d6\u548c\u5904\u7406\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u975e\u5e38\u5e7f\u6cdb\u3002\u4f8b\u5982\uff0c\u5728\u56fe\u50cf\u8bc6\u522b\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u63d0\u53d6\u56fe\u50cf\u7684\u7279\u5f81\u70b9\u8fdb\u884c\u5bf9\u8c61\u8bc6\u522b\u3002\u5728\u533b\u5b66\u56fe\u50cf\u5904\u7406\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5bf9\u56fe\u50cf\u7684\u5206\u5272\u548c\u5904\u7406\uff0c\u63d0\u53d6\u51fa\u611f\u5174\u8da3\u7684\u533a\u57df\u8fdb\u884c\u5206\u6790\u3002\u5728\u81ea\u52a8\u9a7e\u9a76\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5bf9\u9053\u8def\u56fe\u50cf\u7684\u5904\u7406\uff0c\u8bc6\u522b\u51fa\u8f66\u9053\u7ebf\u548c\u969c\u788d\u7269\u3002<\/p>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Pillow\u5e93\u5bf9\u56fe\u50cf\u8fdb\u884c\u8fb9\u7f18\u68c0\u6d4b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image, ImageFilter<\/p>\n<h2><strong>\u6253\u5f00\u56fe\u7247<\/strong><\/h2>\n<p>image = Image.open(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n<p>gray_image = image.convert(&#39;L&#39;)<\/p>\n<h2><strong>\u8fb9\u7f18\u68c0\u6d4b<\/strong><\/h2>\n<p>edge_image = gray_image.filter(ImageFilter.FIND_EDGES)<\/p>\n<h2><strong>\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>edge_image.save(&#39;edge_detected_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u63d0\u53d6\u548c\u5904\u7406\u56fe\u50cf\u7684\u50cf\u7d20\u6570\u636e\uff0c\u5e76\u5b9e\u73b0\u5404\u79cd\u56fe\u50cf\u5904\u7406\u7b97\u6cd5\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\u3002\u5982\u679c\u4f60\u6709\u4efb\u4f55\u95ee\u9898\uff0c\u6b22\u8fce\u968f\u65f6\u63d0\u95ee\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u63d0\u53d6\u56fe\u7247\u7684\u50cf\u7d20\u70b9\uff1f<\/strong><br \/>\u8981\u63d0\u53d6\u56fe\u7247\u7684\u50cf\u7d20\u70b9\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684Pillow\u5e93\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Pillow\u5e93\uff0c\u4f7f\u7528\u547d\u4ee4<code>pip install Pillow<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u63a5\u7740\uff0c\u4f7f\u7528<code>Image.open()<\/code>\u65b9\u6cd5\u52a0\u8f7d\u56fe\u7247\uff0c\u4f7f\u7528<code>load()<\/code>\u65b9\u6cd5\u83b7\u53d6\u50cf\u7d20\u70b9\u3002\u6bcf\u4e2a\u50cf\u7d20\u70b9\u7684\u503c\u901a\u5e38\u662f\u4e00\u4e2a\u5305\u542b\u7ea2\u3001\u7eff\u3001\u84dd\uff08RGB\uff09\u503c\u7684\u5143\u7ec4\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">from PIL import Image\n\nimage = Image.open(&#39;your_image.jpg&#39;)\npixels = image.load()\n\n# \u83b7\u53d6\u7279\u5b9a\u50cf\u7d20\u70b9\u7684RGB\u503c\nr, g, b = pixels[x, y]\n<\/code><\/pre>\n<p><strong>\u63d0\u53d6\u7684\u50cf\u7d20\u70b9\u6570\u636e\u53ef\u4ee5\u7528\u4e8e\u54ea\u4e9b\u5e94\u7528\uff1f<\/strong><br \/>\u63d0\u53d6\u7684\u50cf\u7d20\u70b9\u6570\u636e\u53ef\u4ee5\u7528\u4e8e\u591a\u79cd\u5e94\u7528\uff0c\u5305\u62ec\u56fe\u50cf\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u56fe\u50cf\u5206\u6790\u548c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u3002\u901a\u8fc7\u5206\u6790\u50cf\u7d20\u70b9\uff0c\u53ef\u4ee5\u5b9e\u73b0\u7279\u5f81\u63d0\u53d6\u3001\u56fe\u50cf\u5206\u7c7b\u3001\u8fb9\u7f18\u68c0\u6d4b\u7b49\u529f\u80fd\u3002\u6b64\u5916\uff0c\u63d0\u53d6\u7684\u50cf\u7d20\u4fe1\u606f\u4e5f\u53ef\u4ee5\u7528\u4e8e\u751f\u6210\u56fe\u50cf\u6ee4\u955c\u6216\u8fdb\u884c\u989c\u8272\u8c03\u6574\u3002<\/p>\n<p><strong>\u5982\u4f55\u5904\u7406\u5927\u56fe\u50cf\u4ee5\u4f18\u5316\u50cf\u7d20\u63d0\u53d6\u7684\u6027\u80fd\uff1f<\/strong><br \/>\u5904\u7406\u5927\u56fe\u50cf\u65f6\uff0c\u5efa\u8bae\u4f7f\u7528\u56fe\u50cf\u7684\u7f29\u7565\u56fe\u6216\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\uff0c\u4ee5\u51cf\u5c11\u5185\u5b58\u4f7f\u7528\u548c\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002Pillow\u5e93\u63d0\u4f9b\u4e86<code>thumbn<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>l()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u7f29\u7565\u56fe\u3002\u6b64\u5916\uff0c\u4f7f\u7528Numpy\u5e93\u4e5f\u53ef\u4ee5\u52a0\u901f\u50cf\u7d20\u5904\u7406\uff0c\u7279\u522b\u662f\u5728\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u8ba1\u7b97\u65f6\uff0c\u53ef\u4ee5\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumpy\u6570\u7ec4\uff0c\u4ee5\u4fbf\u66f4\u9ad8\u6548\u5730\u64cd\u4f5c\u50cf\u7d20\u6570\u636e\u3002<\/p>\n<pre><code class=\"language-python\">import numpy as np\n\n# \u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumpy\u6570\u7ec4\nimage_array = np.array(image)\n# \u8bbf\u95ee\u67d0\u4e2a\u50cf\u7d20\npixel_value = image_array[y, x]\n<\/code><\/pre>\n<p><strong>\u5982\u4f55\u63d0\u53d6\u7279\u5b9a\u533a\u57df\u7684\u50cf\u7d20\u70b9\uff1f<\/strong><br \/>\u5982\u679c\u60a8\u60f3\u63d0\u53d6\u7279\u5b9a\u533a\u57df\u7684\u50cf\u7d20\u70b9\uff0c\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u7684<code>crop()<\/code>\u65b9\u6cd5\u3002\u8fd9\u5141\u8bb8\u60a8\u6307\u5b9a\u611f\u5174\u8da3\u533a\u57df\u7684\u5750\u6807\uff0c\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u56fe\u50cf\u5bf9\u8c61\uff0c\u60a8\u53ef\u4ee5\u5728\u6b64\u57fa\u7840\u4e0a\u8fdb\u884c\u50cf\u7d20\u63d0\u53d6\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u5750\u6807\u6846<code>(left, upper, right, lower)<\/code>\u6765\u5b9a\u4e49\u533a\u57df\uff1a<\/p>\n<pre><code class=\"language-python\">box = (left, upper, right, lower)\ncropped_image = image.crop(box)\ncropped_pixels = cropped_image.load()\n<\/code><\/pre>\n<p>\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u60a8\u53ef\u4ee5\u96c6\u4e2d\u4e8e\u7279\u5b9a\u533a\u57df\u7684\u50cf\u7d20\u70b9\uff0c\u800c\u4e0d\u5fc5\u5904\u7406\u6574\u4e2a\u56fe\u50cf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u63d0\u53d6\u56fe\u7247\u7684\u50cf\u7d20\u70b9\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684Pillow\u5e93\u3002Pillow\u662fPython\u56fe\u50cf\u5e93 (PIL) \u7684\u4e00 [&hellip;]","protected":false},"author":3,"featured_media":1078820,"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\/1078812"}],"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=1078812"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1078812\/revisions"}],"predecessor-version":[{"id":1078822,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1078812\/revisions\/1078822"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1078820"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1078812"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1078812"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1078812"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}