{"id":955196,"date":"2024-12-27T02:11:17","date_gmt":"2024-12-26T18:11:17","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/955196.html"},"modified":"2024-12-27T02:11:20","modified_gmt":"2024-12-26T18:11:20","slug":"python%e4%b8%adopencv%e5%a6%82%e4%bd%95%e7%94%bb%e7%82%b9","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/955196.html","title":{"rendered":"python\u4e2dopencv\u5982\u4f55\u753b\u70b9"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25095149\/e2e17373-4922-4591-a4cc-56423aede43b.webp\" alt=\"python\u4e2dopencv\u5982\u4f55\u753b\u70b9\" \/><\/p>\n<p><p> \u5728Python\u4e2d\u4f7f\u7528OpenCV\u753b\u70b9\uff0c\u53ef\u4ee5\u901a\u8fc7<code>cv2.circle()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u3002<strong>\u9996\u5148\uff0c\u4f7f\u7528OpenCV\u7ed8\u5236\u70b9\u7684\u4e3b\u8981\u6b65\u9aa4\u5305\u62ec\uff1a\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u3001\u521b\u5efa\u6216\u8bfb\u53d6\u56fe\u50cf\u3001\u4f7f\u7528<code>cv2.circle()<\/code>\u51fd\u6570\u7ed8\u5236\u70b9\u3001\u663e\u793a\u548c\u4fdd\u5b58\u7ed3\u679c\u56fe\u50cf<\/strong>\u3002\u5176\u4e2d\uff0c<code>cv2.circle()<\/code>\u51fd\u6570\u6700\u4e3a\u5e38\u7528\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u7ed8\u5236\u5706\u5f62\uff0c\u8fd8\u80fd\u901a\u8fc7\u8bbe\u7f6e\u534a\u5f84\u4e3a1\u6216\u8f83\u5c0f\u503c\u6765\u6a21\u62df\u7ed8\u5236\u70b9\u7684\u6548\u679c\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528OpenCV\u5728Python\u4e2d\u753b\u70b9\uff0c\u5e76\u4ecb\u7ecd\u76f8\u5173\u6b65\u9aa4\u548c\u6ce8\u610f\u4e8b\u9879\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/p>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u7ed8\u5236\u70b9\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u548c\u5bfc\u5165OpenCV\u5e93\u3002\u901a\u5e38\uff0cOpenCV\u5e93\u5b89\u88c5\u5728Python\u73af\u5883\u4e2d\u53ef\u4ee5\u4f7f\u7528<code>pip<\/code>\u5de5\u5177\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e00\u65e6\u5b89\u88c5\u5b8c\u6210\uff0c\u53ef\u4ee5\u5728Python\u811a\u672c\u6216\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\u5bfc\u5165OpenCV\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u5bfc\u5165\u5e93\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5f00\u59cb\u521b\u5efa\u56fe\u50cf\u6216\u8bfb\u53d6\u73b0\u6709\u56fe\u50cf\u4ee5\u4fbf\u5728\u5176\u4e0a\u7ed8\u5236\u70b9\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u521b\u5efa\u6216\u8bfb\u53d6\u56fe\u50cf<\/p>\n<\/p>\n<p><p>\u5728\u7ed8\u5236\u70b9\u4e4b\u524d\uff0c\u9700\u8981\u6709\u4e00\u4e2a\u76ee\u6807\u56fe\u50cf\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u521b\u5efa\u4e00\u4e2a\u7a7a\u767d\u56fe\u50cf\u6216\u8bfb\u53d6\u73b0\u6709\u56fe\u50cf\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n<ol>\n<li>\u521b\u5efa\u7a7a\u767d\u56fe\u50cf<\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u521b\u5efa\u4e00\u4e2a\u7a7a\u767d\u56fe\u50cf\uff0c\u4f8b\u5982\u9ed1\u8272\u80cc\u666f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u9ed1\u8272\u56fe\u50cf\uff0c\u5927\u5c0f\u4e3a512x512\uff0c\u4e09\u901a\u9053\uff08BGR\uff09<\/p>\n<p>image = np.zeros((512, 512, 3), dtype=np.uint8)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u8bfb\u53d6\u73b0\u6709\u56fe\u50cf<\/li>\n<\/ol>\n<p><p>\u5982\u679c\u60a8\u5e0c\u671b\u5728\u73b0\u6709\u56fe\u50cf\u4e0a\u7ed8\u5236\u70b9\uff0c\u53ef\u4ee5\u4f7f\u7528<code>cv2.imread()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u50cf\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6\u4e00\u5f20\u56fe\u7247<\/p>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u521b\u5efa\u6216\u8bfb\u53d6\u56fe\u50cf\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528OpenCV\u7684\u7ed8\u56fe\u51fd\u6570\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u70b9\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u4e09\u3001\u4f7f\u7528cv2.circle()\u7ed8\u5236\u70b9<\/p>\n<\/p>\n<p><p><code>cv2.circle()<\/code>\u51fd\u6570\u901a\u5e38\u7528\u4e8e\u7ed8\u5236\u5706\u5f62\uff0c\u4f46\u901a\u8fc7\u8bbe\u7f6e\u8f83\u5c0f\u7684\u534a\u5f84\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u7ed8\u5236\u70b9\u3002\u8be5\u51fd\u6570\u7684\u57fa\u672c\u8bed\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">cv2.circle(image, center, radius, color, thickness)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><code>image<\/code>\uff1a\u76ee\u6807\u56fe\u50cf\u3002<\/li>\n<li><code>center<\/code>\uff1a\u70b9\u7684\u4e2d\u5fc3\u5750\u6807\uff0c\u683c\u5f0f\u4e3a(x, y)\u3002<\/li>\n<li><code>radius<\/code>\uff1a\u5706\u7684\u534a\u5f84\uff0c\u82e5\u8981\u7ed8\u5236\u70b9\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u4e3a1\u6216\u5176\u4ed6\u5c0f\u503c\u3002<\/li>\n<li><code>color<\/code>\uff1a\u70b9\u7684\u989c\u8272\uff0c\u901a\u5e38\u4e3aBGR\u683c\u5f0f\u3002<\/li>\n<li><code>thickness<\/code>\uff1a\u5706\u7684\u8fb9\u7f18\u539a\u5ea6\uff0c\u82e5\u4e3a\u8d1f\u503c\u5219\u586b\u5145\u5706\u5f62\u5185\u90e8\u3002<\/li>\n<\/ul>\n<p><p>\u4f8b\u5982\uff0c\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u4e00\u4e2a\u767d\u8272\u7684\u70b9\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5b9a\u4e49\u70b9\u7684\u5750\u6807<\/p>\n<p>center_coordinates = (256, 256)<\/p>\n<h2><strong>\u5b9a\u4e49\u534a\u5f84<\/strong><\/h2>\n<p>radius = 1<\/p>\n<h2><strong>\u5b9a\u4e49\u989c\u8272 (\u767d\u8272)<\/strong><\/h2>\n<p>color = (255, 255, 255)<\/p>\n<h2><strong>\u5b9a\u4e49\u539a\u5ea6 (-1 \u8868\u793a\u586b\u5145)<\/strong><\/h2>\n<p>thickness = -1<\/p>\n<h2><strong>\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u70b9<\/strong><\/h2>\n<p>cv2.circle(image, center_coordinates, radius, color, thickness)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u7ed8\u5236\u70b9\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528OpenCV\u63d0\u4f9b\u7684\u51fd\u6570\u6765\u663e\u793a\u548c\u4fdd\u5b58\u7ed3\u679c\u56fe\u50cf\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u56db\u3001\u663e\u793a\u548c\u4fdd\u5b58\u7ed3\u679c\u56fe\u50cf<\/p>\n<\/p>\n<ol>\n<li>\u663e\u793a\u56fe\u50cf<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528<code>cv2.imshow()<\/code>\u51fd\u6570\u53ef\u4ee5\u5728\u7a97\u53e3\u4e2d\u663e\u793a\u56fe\u50cf\u3002\u8be5\u51fd\u6570\u7684\u57fa\u672c\u7528\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">cv2.imshow(&#39;Image with Point&#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<ul>\n<li><code>cv2.imshow()<\/code>\uff1a\u663e\u793a\u56fe\u50cf\uff0c\u7b2c\u4e00\u4e2a\u53c2\u6570\u4e3a\u7a97\u53e3\u540d\u79f0\uff0c\u7b2c\u4e8c\u4e2a\u53c2\u6570\u4e3a\u56fe\u50cf\u3002<\/li>\n<li><code>cv2.waitKey(0)<\/code>\uff1a\u7b49\u5f85\u6309\u952e\u4e8b\u4ef6\uff0c\u53c2\u6570\u4e3a0\u8868\u793a\u65e0\u9650\u7b49\u5f85\u3002<\/li>\n<li><code>cv2.destroyAllWindows()<\/code>\uff1a\u5173\u95ed\u6240\u6709\u521b\u5efa\u7684\u7a97\u53e3\u3002<\/li>\n<\/ul>\n<ol start=\"2\">\n<li>\u4fdd\u5b58\u56fe\u50cf<\/li>\n<\/ol>\n<p><p>\u82e5\u5e0c\u671b\u5c06\u7ed3\u679c\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>cv2.imwrite()<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">cv2.imwrite(&#39;output_image.jpg&#39;, image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><code>cv2.imwrite()<\/code>\uff1a\u5c06\u56fe\u50cf\u5199\u5165\u6587\u4ef6\uff0c\u7b2c\u4e00\u4e2a\u53c2\u6570\u4e3a\u6587\u4ef6\u8def\u5f84\uff0c\u7b2c\u4e8c\u4e2a\u53c2\u6570\u4e3a\u56fe\u50cf\u3002<\/li>\n<\/ul>\n<p><p><strong>\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u4f7f\u7528OpenCV\u5e93\u6210\u529f\u5730\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u70b9\u3002\u6839\u636e\u9700\u6c42\uff0c\u53ef\u4ee5\u8c03\u6574\u70b9\u7684\u4f4d\u7f6e\u3001\u989c\u8272\u548c\u5927\u5c0f\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u4e94\u3001\u7efc\u5408\u5e94\u7528\u793a\u4f8b<\/p>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7efc\u5408\u5e94\u7528\u793a\u4f8b\uff0c\u6f14\u793a\u4e86\u5982\u4f55\u5728\u4e00\u5f20\u7a7a\u767d\u56fe\u50cf\u4e0a\u7ed8\u5236\u591a\u4e2a\u989c\u8272\u4e0d\u540c\u7684\u70b9\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u9ed1\u8272\u56fe\u50cf\uff0c\u5927\u5c0f\u4e3a512x512\uff0c\u4e09\u901a\u9053\uff08BGR\uff09<\/strong><\/h2>\n<p>image = np.zeros((512, 512, 3), dtype=np.uint8)<\/p>\n<h2><strong>\u5b9a\u4e49\u591a\u4e2a\u70b9\u7684\u5750\u6807\u548c\u989c\u8272<\/strong><\/h2>\n<p>points = [<\/p>\n<p>    ((100, 100), (255, 0, 0)),  # \u84dd\u8272\u70b9<\/p>\n<p>    ((200, 200), (0, 255, 0)),  # \u7eff\u8272\u70b9<\/p>\n<p>    ((300, 300), (0, 0, 255)),  # \u7ea2\u8272\u70b9<\/p>\n<p>    ((400, 400), (255, 255, 255))  # \u767d\u8272\u70b9<\/p>\n<p>]<\/p>\n<h2><strong>\u7ed8\u5236\u591a\u4e2a\u70b9<\/strong><\/h2>\n<p>for center, color in points:<\/p>\n<p>    cv2.circle(image, center, 5, color, -1)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imshow(&#39;Image with Points&#39;, image)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imwrite(&#39;output_image_with_points.jpg&#39;, image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\u548c\u4ee3\u7801\u793a\u4f8b\uff0c\u60a8\u53ef\u4ee5\u5728Python\u4e2d\u4f7f\u7528OpenCV\u5e93\u6709\u6548\u5730\u7ed8\u5236\u70b9\uff0c\u5e76\u6839\u636e\u9700\u8981\u5bf9\u56fe\u50cf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5728Python\u4e2d\uff0c\u5982\u4f55\u4f7f\u7528OpenCV\u7ed8\u5236\u5355\u4e2a\u70b9\uff1f<\/strong><br \/>\u8981\u5728\u56fe\u50cf\u4e2d\u7ed8\u5236\u5355\u4e2a\u70b9\uff0c\u53ef\u4ee5\u4f7f\u7528<code>cv2.circle()<\/code>\u51fd\u6570\u3002\u8be5\u51fd\u6570\u5141\u8bb8\u60a8\u6307\u5b9a\u70b9\u7684\u5750\u6807\u3001\u534a\u5f84\u4ee5\u53ca\u989c\u8272\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">import cv2\nimport numpy as np\n\n# \u521b\u5efa\u4e00\u4e2a\u9ed1\u8272\u56fe\u50cf\nimage = np.zeros((500, 500, 3), dtype=np.uint8)\n\n# \u6307\u5b9a\u70b9\u7684\u5750\u6807\u548c\u989c\u8272\npoint_coordinates = (250, 250)  # \u4e2d\u5fc3\u70b9\ncolor = (0, 255, 0)  # \u7eff\u8272\n\n# \u7ed8\u5236\u70b9\ncv2.circle(image, point_coordinates, radius=5, color=color, thickness=-1)\n\n# \u663e\u793a\u56fe\u50cf\ncv2.imshow(&#39;Point&#39;, image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<p><strong>OpenCV\u7ed8\u5236\u591a\u4e2a\u70b9\u65f6\u5982\u4f55\u9ad8\u6548\u5904\u7406\uff1f<\/strong><br \/>\u5982\u679c\u9700\u8981\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u591a\u4e2a\u70b9\uff0c\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u904d\u5386\u70b9\u7684\u5217\u8868\uff0c\u5e76\u9010\u4e2a\u7ed8\u5236\u3002\u4e3a\u4e86\u63d0\u9ad8\u6548\u7387\uff0c\u53ef\u4ee5\u9009\u62e9\u4f7f\u7528<code>cv2.polylines()<\/code>\u51fd\u6570\uff0c\u5c24\u5176\u662f\u5f53\u70b9\u7684\u6570\u91cf\u8f83\u591a\u65f6\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u9ed1\u8272\u56fe\u50cf\nimage = np.zeros((500, 500, 3), dtype=np.uint8)\n\n# \u5b9a\u4e49\u591a\u4e2a\u70b9\u7684\u5750\u6807\npoints = [(100, 100), (200, 200), (300, 300), (400, 400)]\n\n# \u7ed8\u5236\u591a\u4e2a\u70b9\nfor point in points:\n    cv2.circle(image, point, radius=5, color=(255, 0, 0), thickness=-1)\n\n# \u663e\u793a\u56fe\u50cf\ncv2.imshow(&#39;Multiple Points&#39;, image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<p><strong>\u5982\u4f55\u63a7\u5236\u7ed8\u5236\u70b9\u7684\u5927\u5c0f\u548c\u989c\u8272\uff1f<\/strong><br \/>\u5728OpenCV\u4e2d\uff0c\u70b9\u7684\u5927\u5c0f\u53ef\u4ee5\u901a\u8fc7<code>cv2.circle()<\/code>\u51fd\u6570\u4e2d\u7684\u534a\u5f84\u53c2\u6570\u6765\u63a7\u5236\u3002\u989c\u8272\u53c2\u6570\u662f\u4e00\u4e2aBGR\u683c\u5f0f\u7684\u5143\u7ec4\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8bbe\u7f6e\u4e3a\u4efb\u610f\u989c\u8272\u3002\u4f8b\u5982\uff0c\u5982\u679c\u8981\u7ed8\u5236\u7ea2\u8272\u7684\u70b9\uff0c\u53ef\u4ee5\u8bbe\u7f6e<code>color=(0, 0, 255)<\/code>\uff0c\u800c\u8981\u589e\u52a0\u70b9\u7684\u5c3a\u5bf8\uff0c\u53ef\u4ee5\u5c06<code>radius<\/code>\u53c2\u6570\u8bbe\u7f6e\u4e3a\u66f4\u5927\u7684\u503c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u4f7f\u7528OpenCV\u753b\u70b9\uff0c\u53ef\u4ee5\u901a\u8fc7cv2.circle()\u51fd\u6570\u6765\u5b9e\u73b0\u3002\u9996\u5148\uff0c\u4f7f\u7528OpenCV\u7ed8\u5236\u70b9 [&hellip;]","protected":false},"author":3,"featured_media":955199,"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\/955196"}],"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=955196"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/955196\/revisions"}],"predecessor-version":[{"id":955200,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/955196\/revisions\/955200"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/955199"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=955196"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=955196"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=955196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}