{"id":1103812,"date":"2025-01-08T16:14:19","date_gmt":"2025-01-08T08:14:19","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1103812.html"},"modified":"2025-01-08T16:14:21","modified_gmt":"2025-01-08T08:14:21","slug":"%e5%a6%82%e4%bd%95%e5%b0%86%e7%99%bd%e5%ba%95%e7%85%a7%e7%89%87%e5%8f%98%e6%88%90%e8%93%9d%e5%ba%95python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1103812.html","title":{"rendered":"\u5982\u4f55\u5c06\u767d\u5e95\u7167\u7247\u53d8\u6210\u84dd\u5e95python"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25065453\/f6aa1b4e-345b-426b-9f30-23c58bf41fa0.webp\" alt=\"\u5982\u4f55\u5c06\u767d\u5e95\u7167\u7247\u53d8\u6210\u84dd\u5e95python\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u5c06\u767d\u5e95\u7167\u7247\u53d8\u6210\u84dd\u5e95\u7684\u6838\u5fc3\u6b65\u9aa4\u5305\u62ec\uff1a\u8bfb\u53d6\u56fe\u50cf\u3001\u8bc6\u522b\u767d\u8272\u80cc\u666f\u3001\u5c06\u80cc\u666f\u66ff\u6362\u4e3a\u84dd\u8272\u3002<\/strong><\/p>\n<\/p>\n<p><p><strong>\u6b65\u9aa4\u5305\u62ec\uff1a\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u50cf\u3001\u5229\u7528NumPy\u8fdb\u884c\u6570\u7ec4\u64cd\u4f5c\u3001\u901a\u8fc7\u9608\u503c\u6cd5\u8bc6\u522b\u767d\u8272\u80cc\u666f\uff0c\u5c06\u80cc\u666f\u53d8\u4e3a\u84dd\u8272<\/strong>\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u63cf\u8ff0\u8fd9\u4e9b\u6b65\u9aa4\uff0c\u5e76\u63d0\u4f9b\u76f8\u5e94\u7684\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b89\u88c5\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u7f16\u5199\u4ee3\u7801\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86\u5fc5\u8981\u7684Python\u5e93\u3002\u6211\u4eec\u5c06\u4f7f\u7528OpenCV\u548cNumPy\u6765\u5904\u7406\u56fe\u50cf\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">pip install opencv-python numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u8bfb\u53d6\u56fe\u50cf<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u8bfb\u53d6\u8981\u5904\u7406\u7684\u56fe\u50cf\u3002OpenCV\u63d0\u4f9b\u4e86<code>cv2.imread<\/code>\u65b9\u6cd5\u6765\u8bfb\u53d6\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u8bfb\u53d6\u56fe\u50cf\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<\/strong><\/h2>\n<p>image = cv2.imread(&#39;white_background_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u8bc6\u522b\u767d\u8272\u80cc\u666f<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u5c06\u767d\u8272\u80cc\u666f\u66ff\u6362\u4e3a\u84dd\u8272\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u8bc6\u522b\u51fa\u56fe\u50cf\u4e2d\u7684\u767d\u8272\u90e8\u5206\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u989c\u8272\u9608\u503c\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u989c\u8272\u9608\u503c\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8bc6\u522b\u51fa\u56fe\u50cf\u4e2d\u7b26\u5408\u7279\u5b9a\u989c\u8272\u8303\u56f4\u7684\u90e8\u5206\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u5b9a\u4e49\u767d\u8272\u7684\u8303\u56f4<\/strong><\/h2>\n<p>lower_white = np.array([200, 200, 200])<\/p>\n<p>upper_white = np.array([255, 255, 255])<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u906e\u7f69\uff0c\u8bc6\u522b\u51fa\u56fe\u50cf\u4e2d\u7684\u767d\u8272\u90e8\u5206<\/strong><\/h2>\n<p>mask = cv2.inRange(image, lower_white, upper_white)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u5c06\u80cc\u666f\u66ff\u6362\u4e3a\u84dd\u8272<\/h3>\n<\/p>\n<p><p>\u4e00\u65e6\u6211\u4eec\u8bc6\u522b\u51fa\u56fe\u50cf\u4e2d\u7684\u767d\u8272\u90e8\u5206\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u8fd9\u4e9b\u90e8\u5206\u66ff\u6362\u4e3a\u84dd\u8272\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528NumPy\u6570\u7ec4\u64cd\u4f5c\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5c06\u56fe\u50cf\u4e2d\u7684\u767d\u8272\u90e8\u5206\u66ff\u6362\u4e3a\u84dd\u8272<\/p>\n<p>image[mask != 0] = [255, 0, 0]  # \u84dd\u8272\u7684BGR\u503c\u4e3a(255, 0, 0)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u4fdd\u5b58\u5e76\u663e\u793a\u7ed3\u679c\u56fe\u50cf<\/h3>\n<\/p>\n<p><p>\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528OpenCV\u7684<code>cv2.imwrite<\/code>\u65b9\u6cd5\u5c06\u5904\u7406\u540e\u7684\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u5e76\u4f7f\u7528<code>cv2.imshow<\/code>\u65b9\u6cd5\u663e\u793a\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u50cf<\/p>\n<p>cv2.imwrite(&#39;blue_background_image.jpg&#39;, image)<\/p>\n<h2><strong>\u663e\u793a\u5904\u7406\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imshow(&#39;Blue Background Image&#39;, 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><h3>\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b<\/h3>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u767d\u5e95\u7167\u7247\u53d8\u6210\u84dd\u5e95\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = cv2.imread(&#39;white_background_image.jpg&#39;)<\/p>\n<h2><strong>\u5b9a\u4e49\u767d\u8272\u7684\u8303\u56f4<\/strong><\/h2>\n<p>lower_white = np.array([200, 200, 200])<\/p>\n<p>upper_white = np.array([255, 255, 255])<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u906e\u7f69\uff0c\u8bc6\u522b\u51fa\u56fe\u50cf\u4e2d\u7684\u767d\u8272\u90e8\u5206<\/strong><\/h2>\n<p>mask = cv2.inRange(image, lower_white, upper_white)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u4e2d\u7684\u767d\u8272\u90e8\u5206\u66ff\u6362\u4e3a\u84dd\u8272<\/strong><\/h2>\n<p>image[mask != 0] = [255, 0, 0]  # \u84dd\u8272\u7684BGR\u503c\u4e3a(255, 0, 0)<\/p>\n<h2><strong>\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imwrite(&#39;blue_background_image.jpg&#39;, image)<\/p>\n<h2><strong>\u663e\u793a\u5904\u7406\u540e\u7684\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imshow(&#39;Blue Background Image&#39;, image)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u8be6\u7ec6\u63cf\u8ff0\u6b65\u9aa4<\/h3>\n<\/p>\n<p><h4>1. \u5b89\u88c5\u5fc5\u8981\u7684\u5e93<\/h4>\n<\/p>\n<p><p>\u4e3a\u4e86\u5904\u7406\u56fe\u50cf\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5OpenCV\u548cNumPy\u5e93\u3002OpenCV\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\u3002NumPy\u662fPython\u7684\u4e00\u4e2a\u5e93\uff0c\u652f\u6301\u5927\u89c4\u6a21\u7684\u591a\u7ef4\u6570\u7ec4\u4e0e\u77e9\u9635\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<p><h4>2. \u8bfb\u53d6\u56fe\u50cf<\/h4>\n<\/p>\n<p><p>\u8bfb\u53d6\u56fe\u50cf\u662f\u5904\u7406\u56fe\u50cf\u7684\u7b2c\u4e00\u6b65\u3002\u6211\u4eec\u4f7f\u7528<code>cv2.imread<\/code>\u65b9\u6cd5\u8bfb\u53d6\u56fe\u50cf\u3002\u8be5\u65b9\u6cd5\u63a5\u53d7\u56fe\u50cf\u6587\u4ef6\u7684\u8def\u5f84\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u56fe\u50cf\u5bf9\u8c61\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">image = cv2.imread(&#39;white_background_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3. \u8bc6\u522b\u767d\u8272\u80cc\u666f<\/h4>\n<\/p>\n<p><p>\u4e3a\u4e86\u8bc6\u522b\u767d\u8272\u80cc\u666f\uff0c\u6211\u4eec\u9700\u8981\u5b9a\u4e49\u767d\u8272\u7684\u8303\u56f4\u3002\u767d\u8272\u7684BGR\u503c\u5728OpenCV\u4e2d\u901a\u5e38\u63a5\u8fd1(255, 255, 255)\u3002\u6211\u4eec\u5b9a\u4e49\u4e00\u4e2a\u8303\u56f4\u6765\u8bc6\u522b\u63a5\u8fd1\u767d\u8272\u7684\u50cf\u7d20\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">lower_white = np.array([200, 200, 200])<\/p>\n<p>upper_white = np.array([255, 255, 255])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4f7f\u7528<code>cv2.inRange<\/code>\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u906e\u7f69\uff0c\u8be5\u906e\u7f69\u5305\u542b\u56fe\u50cf\u4e2d\u6240\u6709\u5728\u767d\u8272\u8303\u56f4\u5185\u7684\u50cf\u7d20\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">mask = cv2.inRange(image, lower_white, upper_white)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>4. \u5c06\u80cc\u666f\u66ff\u6362\u4e3a\u84dd\u8272<\/h4>\n<\/p>\n<p><p>\u4e00\u65e6\u6211\u4eec\u8bc6\u522b\u51fa\u56fe\u50cf\u4e2d\u7684\u767d\u8272\u90e8\u5206\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528NumPy\u6570\u7ec4\u64cd\u4f5c\u5c06\u8fd9\u4e9b\u90e8\u5206\u66ff\u6362\u4e3a\u84dd\u8272\u3002\u84dd\u8272\u7684BGR\u503c\u4e3a(255, 0, 0)\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">image[mask != 0] = [255, 0, 0]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>5. \u4fdd\u5b58\u5e76\u663e\u793a\u7ed3\u679c\u56fe\u50cf<\/h4>\n<\/p>\n<p><p>\u5904\u7406\u5b8c\u56fe\u50cf\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>cv2.imwrite<\/code>\u65b9\u6cd5\u5c06\u7ed3\u679c\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u5e76\u4f7f\u7528<code>cv2.imshow<\/code>\u65b9\u6cd5\u663e\u793a\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">cv2.imwrite(&#39;blue_background_image.jpg&#39;, image)<\/p>\n<p>cv2.imshow(&#39;Blue Background Image&#39;, image)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u6211\u4eec\u6210\u529f\u5730\u5c06\u767d\u5e95\u7167\u7247\u53d8\u6210\u4e86\u84dd\u5e95\u3002\u8fd9\u4e2a\u8fc7\u7a0b\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Python\u548cOpenCV\u5e93\u6765\u5904\u7406\u548c\u4fee\u6539\u56fe\u50cf\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff01<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u5c06\u767d\u5e95\u7167\u7247\u8f6c\u6362\u4e3a\u84dd\u5e95\uff1f<\/strong><br \/>\u8981\u5c06\u767d\u5e95\u7167\u7247\u53d8\u6210\u84dd\u5e95\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u5982Pillow\u548cNumPy\u3002\u9996\u5148\uff0c\u52a0\u8f7d\u56fe\u50cf\u5e76\u8f6c\u6362\u4e3aRGBA\u683c\u5f0f\u3002\u63a5\u7740\uff0c\u901a\u8fc7\u904d\u5386\u6bcf\u4e2a\u50cf\u7d20\uff0c\u5c06\u767d\u8272\uff08\u6216\u63a5\u8fd1\u767d\u8272\u7684\u50cf\u7d20\uff09\u66ff\u6362\u4e3a\u84dd\u8272\u3002\u6700\u540e\uff0c\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u50cf\u3002\u5177\u4f53\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">from PIL import Image\nimport numpy as np\n\n# \u52a0\u8f7d\u56fe\u50cf\nimg = Image.open(&quot;path_to_your_image.jpg&quot;).convert(&quot;RGBA&quot;)\ndata = np.array(img)\n\n# \u66ff\u6362\u767d\u8272\u80cc\u666f\u4e3a\u84dd\u8272\ndata[(data[:, :, 0] &gt; 200) &amp; (data[:, :, 1] &gt; 200) &amp; (data[:, :, 2] &gt; 200)] = [0, 0, 255, 255]\n\n# \u4fdd\u5b58\u65b0\u56fe\u50cf\nnew_img = Image.fromarray(data)\nnew_img.save(&quot;blue_background_image.png&quot;)\n<\/code><\/pre>\n<p><strong>\u4f7f\u7528Python\u65f6\uff0c\u5982\u4f55\u5904\u7406\u4e0d\u540c\u8272\u8c03\u7684\u767d\u8272\uff1f<\/strong><br \/>\u5728\u5904\u7406\u767d\u5e95\u7167\u7247\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e0d\u540c\u8272\u8c03\u7684\u767d\u8272\u3002\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574RGB\u9608\u503c\u6765\u66f4\u7075\u6d3b\u5730\u8bc6\u522b\u548c\u66ff\u6362\u767d\u8272\u50cf\u7d20\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c06\u9608\u503c\u8bbe\u7f6e\u4e3a\u4e00\u4e2a\u8303\u56f4\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u56fa\u5b9a\u7684\u6570\u5b57\uff0c\u786e\u4fdd\u5373\u4fbf\u662f\u7a0d\u5fae\u5e26\u6709\u8272\u8c03\u7684\u767d\u8272\u4e5f\u80fd\u88ab\u6b63\u786e\u8f6c\u6362\u3002<\/p>\n<p><strong>\u8f6c\u6362\u767d\u5e95\u7167\u7247\u7684\u6548\u7387\u5982\u4f55\u4f18\u5316\uff1f<\/strong><br \/>\u5904\u7406\u5927\u5c3a\u5bf8\u56fe\u50cf\u65f6\uff0c\u6548\u7387\u53ef\u80fd\u662f\u4e00\u4e2a\u95ee\u9898\u3002\u53ef\u4ee5\u8003\u8651\u4f7f\u7528NumPy\u7684\u5411\u91cf\u5316\u64cd\u4f5c\uff0c\u907f\u514d\u4f7f\u7528\u5faa\u73af\uff0c\u4ee5\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u66f4\u9ad8\u6548\u7684\u56fe\u50cf\u5e93\u5982OpenCV\uff0c\u4e5f\u80fd\u52a0\u901f\u56fe\u50cf\u7684\u8bfb\u53d6\u548c\u5904\u7406\u8fc7\u7a0b\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728\u8f6c\u6362\u8fc7\u7a0b\u4e2d\u4fdd\u6301\u56fe\u50cf\u7684\u8d28\u91cf\uff1f<\/strong><br \/>\u5728\u56fe\u50cf\u8f6c\u6362\u8fc7\u7a0b\u4e2d\uff0c\u4fdd\u6301\u8d28\u91cf\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002\u4f7f\u7528\u9ad8\u8d28\u91cf\u7684\u8f93\u5165\u56fe\u50cf\uff0c\u5e76\u5728\u4fdd\u5b58\u8f93\u51fa\u65f6\u9009\u62e9\u5408\u9002\u7684\u683c\u5f0f\u548c\u538b\u7f29\u53c2\u6570\uff0c\u53ef\u4ee5\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u8d28\u91cf\u635f\u5931\u3002PNG\u683c\u5f0f\u901a\u5e38\u4f18\u4e8eJPEG\uff0c\u56e0\u4e3a\u5b83\u652f\u6301\u65e0\u635f\u538b\u7f29\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u5c06\u767d\u5e95\u7167\u7247\u53d8\u6210\u84dd\u5e95\u7684\u6838\u5fc3\u6b65\u9aa4\u5305\u62ec\uff1a\u8bfb\u53d6\u56fe\u50cf\u3001\u8bc6\u522b\u767d\u8272\u80cc\u666f\u3001\u5c06\u80cc\u666f\u66ff\u6362\u4e3a\u84dd\u8272\u3002 \u6b65\u9aa4\u5305\u62ec\uff1a\u4f7f\u7528O [&hellip;]","protected":false},"author":3,"featured_media":1103818,"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\/1103812"}],"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=1103812"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1103812\/revisions"}],"predecessor-version":[{"id":1103823,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1103812\/revisions\/1103823"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1103818"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1103812"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1103812"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1103812"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}