{"id":978639,"date":"2024-12-27T06:39:28","date_gmt":"2024-12-26T22:39:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/978639.html"},"modified":"2024-12-27T06:39:31","modified_gmt":"2024-12-26T22:39:31","slug":"python-opencv%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96%e5%9b%be%e7%89%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/978639.html","title":{"rendered":"python opencv\u5982\u4f55\u8bfb\u53d6\u56fe\u7247"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24203527\/e7d4e6a8-2c44-4481-8a1f-9270d14c64f4.webp\" alt=\"python opencv\u5982\u4f55\u8bfb\u53d6\u56fe\u7247\" \/><\/p>\n<p><p> <strong>Python OpenCV\u8bfb\u53d6\u56fe\u7247\u7684\u6b65\u9aa4\u5305\u62ec\uff1a\u5bfc\u5165OpenCV\u5e93\u3001\u4f7f\u7528<code>cv2.imread<\/code>\u8bfb\u53d6\u56fe\u7247\u3001\u663e\u793a\u56fe\u7247\u4ee5\u53ca\u91ca\u653e\u8d44\u6e90\u3002<\/strong>\u5728\u8fd9\u51e0\u4e2a\u6b65\u9aa4\u4e2d\uff0c\u4f7f\u7528<code>cv2.imread<\/code>\u51fd\u6570\u662f\u5173\u952e\uff0c\u5b83\u80fd\u591f\u8bfb\u53d6\u6307\u5b9a\u8def\u5f84\u4e0b\u7684\u56fe\u7247\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u4f9b\u540e\u7eed\u5904\u7406\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528OpenCV\u8bfb\u53d6\u548c\u5904\u7406\u56fe\u7247\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u4e2a\u4eba\u7ecf\u9a8c\u548c\u6280\u5de7\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5bfc\u5165OpenCV\u5e93<\/h3>\n<\/p>\n<p><p>\u5728\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u7247\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5OpenCV\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u901a\u8fc7pip\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\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165OpenCV\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u7247\u7684\u4e3b\u8981\u51fd\u6570\u662f<code>cv2.imread<\/code>\u3002\u8be5\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6\u591a\u79cd\u683c\u5f0f\u7684\u56fe\u7247\uff0c\u5305\u62ecJPEG\u3001PNG\u3001BMP\u7b49\u3002\u5176\u57fa\u672c\u7528\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">image = cv2.imread(&#39;path_to_image.jpg&#39;, cv2.IMREAD_COLOR)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><code>cv2.imread<\/code>\u51fd\u6570\u6709\u4e24\u4e2a\u53c2\u6570\uff1a\u7b2c\u4e00\u4e2a\u662f\u56fe\u7247\u7684\u8def\u5f84\uff0c\u7b2c\u4e8c\u4e2a\u662f\u8bfb\u53d6\u6a21\u5f0f\u3002\u5e38\u7528\u7684\u8bfb\u53d6\u6a21\u5f0f\u6709\uff1a<\/p>\n<\/p>\n<ul>\n<li><code>cv2.IMREAD_COLOR<\/code>\uff1a\u4ee5\u5f69\u8272\u6a21\u5f0f\u8bfb\u53d6\u56fe\u7247\uff0c\u5ffd\u7565\u900f\u660e\u5ea6\u3002<\/li>\n<li><code>cv2.IMREAD_GRAYSCALE<\/code>\uff1a\u4ee5\u7070\u5ea6\u6a21\u5f0f\u8bfb\u53d6\u56fe\u7247\u3002<\/li>\n<li><code>cv2.IMREAD_UNCHANGED<\/code>\uff1a\u5305\u62ecalpha\u901a\u9053\u5728\u5185\uff0c\u8bfb\u53d6\u5b8c\u6574\u56fe\u50cf\u3002<\/li>\n<\/ul>\n<p><p><strong>\u4e2a\u4eba\u7ecf\u9a8c<\/strong>\uff1a\u5728\u8bfb\u53d6\u56fe\u7247\u65f6\uff0c\u5efa\u8bae\u68c0\u67e5\u6587\u4ef6\u8def\u5f84\u7684\u6b63\u786e\u6027\uff0c\u5e76\u4f7f\u7528\u5f02\u5e38\u5904\u7406\u673a\u5236\u6765\u6355\u83b7\u8bfb\u53d6\u9519\u8bef\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">try:<\/p>\n<p>    image = cv2.imread(&#39;path_to_image.jpg&#39;, cv2.IMREAD_COLOR)<\/p>\n<p>    if image is None:<\/p>\n<p>        r<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>se FileNotFoundError(&quot;Image file not found.&quot;)<\/p>\n<p>except Exception as e:<\/p>\n<p>    print(f&quot;Error occurred: {e}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u663e\u793a\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u8bfb\u53d6\u56fe\u7247\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>cv2.imshow<\/code>\u51fd\u6570\u5c06\u56fe\u7247\u663e\u793a\u5728\u7a97\u53e3\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">cv2.imshow(&#39;Image&#39;, image)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><code>cv2.imshow<\/code>\u51fd\u6570\u7528\u4e8e\u521b\u5efa\u4e00\u4e2a\u7a97\u53e3\u5e76\u663e\u793a\u56fe\u7247\u3002<code>cv2.waitKey(0)<\/code>\u7528\u4e8e\u7b49\u5f85\u7528\u6237\u6309\u952e\uff0c\u4ee5\u4fbf\u5173\u95ed\u7a97\u53e3\uff0c<code>cv2.destroyAllWindows()<\/code>\u7528\u4e8e\u9500\u6bc1\u6240\u6709\u7a97\u53e3\uff0c\u91ca\u653e\u8d44\u6e90\u3002<\/p>\n<\/p>\n<p><p><strong>\u6280\u5de7<\/strong>\uff1a\u53ef\u4ee5\u5c06<code>cv2.waitKey()<\/code>\u7684\u53c2\u6570\u8bbe\u4e3a\u7279\u5b9a\u7684\u6beb\u79d2\u6570\uff0c\u8fd9\u6837\u53ef\u4ee5\u5728\u6307\u5b9a\u65f6\u95f4\u540e\u81ea\u52a8\u5173\u95ed\u7a97\u53e3\uff0c\u800c\u4e0d\u662f\u7b49\u5f85\u7528\u6237\u6309\u952e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">cv2.waitKey(5000)  # 5\u79d2\u540e\u81ea\u52a8\u5173\u95ed<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u91ca\u653e\u8d44\u6e90<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528\u5b8cOpenCV\u7684\u7a97\u53e3\u540e\uff0c\u52a1\u5fc5\u8c03\u7528<code>cv2.destroyAllWindows()<\/code>\u91ca\u653e\u8d44\u6e90\u3002\u5bf9\u4e8e\u7279\u5b9a\u7a97\u53e3\uff0c\u53ef\u4ee5\u4f7f\u7528<code>cv2.destroyWindow(window_name)<\/code>\u6765\u9500\u6bc1\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u5e38\u89c1\u95ee\u9898\u548c\u89e3\u51b3\u65b9\u6848<\/h3>\n<\/p>\n<ol>\n<li>\n<p><strong>\u56fe\u7247\u8def\u5f84\u9519\u8bef<\/strong>\uff1a\u786e\u4fdd\u56fe\u7247\u8def\u5f84\u6b63\u786e\uff0c\u5e76\u6ce8\u610f\u4f7f\u7528\u53cc\u53cd\u659c\u6760\uff08\\\uff09\u6216\u539f\u59cb\u5b57\u7b26\u4e32\uff08r&#39;path&#39;\uff09\u6765\u907f\u514d\u8f6c\u4e49\u5b57\u7b26\u95ee\u9898\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u7f16\u7801\u95ee\u9898<\/strong>\uff1a\u5728\u8bfb\u53d6\u975e\u82f1\u6587\u8def\u5f84\u7684\u56fe\u7247\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7f16\u7801\u95ee\u9898\u3002\u53ef\u4ee5\u4f7f\u7528<code>os<\/code>\u6a21\u5757\u83b7\u53d6\u7edd\u5bf9\u8def\u5f84\u6765\u907f\u514d\u6b64\u7c7b\u95ee\u9898\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u56fe\u50cf\u663e\u793a\u5f02\u5e38<\/strong>\uff1a\u5982\u679c\u663e\u793a\u7684\u56fe\u50cf\u989c\u8272\u5f02\u5e38\uff0c\u53ef\u80fd\u662f\u56e0\u4e3a\u4f7f\u7528\u4e86\u9519\u8bef\u7684\u989c\u8272\u6a21\u5f0f\u3002\u786e\u4fdd\u4f7f\u7528\u6b63\u786e\u7684\u8bfb\u53d6\u6a21\u5f0f\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u7a97\u53e3\u5927\u5c0f\u95ee\u9898<\/strong>\uff1a<code>cv2.imshow<\/code>\u663e\u793a\u7684\u7a97\u53e3\u4e0d\u80fd\u624b\u52a8\u8c03\u6574\u5927\u5c0f\u3002\u53ef\u4ee5\u4f7f\u7528<code>cv2.resizeWindow<\/code>\u8bbe\u7f6e\u7a97\u53e3\u5927\u5c0f\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u9ad8\u5206\u8fa8\u7387\u56fe\u7247\u5904\u7406<\/strong>\uff1a\u5bf9\u4e8e\u9ad8\u5206\u8fa8\u7387\u56fe\u7247\uff0c\u76f4\u63a5\u663e\u793a\u53ef\u80fd\u4f1a\u5bfc\u81f4\u663e\u793a\u7f13\u6162\u6216\u5185\u5b58\u4e0d\u8db3\u3002\u53ef\u4ee5\u5148\u5bf9\u56fe\u7247\u8fdb\u884c\u7f29\u653e\u5904\u7406\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n<p><pre><code class=\"language-python\"># \u7f29\u653e\u56fe\u7247<\/p>\n<p>scale_percent = 60  # \u7f29\u653e60%<\/p>\n<p>width = int(image.shape[1] * scale_percent \/ 100)<\/p>\n<p>height = int(image.shape[0] * scale_percent \/ 100)<\/p>\n<p>dim = (width, height)<\/p>\n<p>resized = cv2.resize(image, dim, interpolation=cv2.INTER_AREA)<\/p>\n<p>cv2.imshow(&#39;Resized Image&#39;, resized)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u56fe\u7247\u8bfb\u53d6\u548c\u5904\u7406\u7684\u6269\u5c55<\/h3>\n<\/p>\n<p><p>\u5728\u8bfb\u53d6\u56fe\u7247\u540e\uff0c\u53ef\u4ee5\u5229\u7528OpenCV\u8fdb\u884c\u4e00\u7cfb\u5217\u7684\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u8f6c\u6362\u989c\u8272\u7a7a\u95f4\u3001\u56fe\u50cf\u5e73\u6ed1\u3001\u8fb9\u7f18\u68c0\u6d4b\u7b49\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u989c\u8272\u7a7a\u95f4\u8f6c\u6362<\/h4>\n<\/p>\n<p><p>OpenCV\u63d0\u4f9b\u4e86\u591a\u79cd\u989c\u8272\u7a7a\u95f4\u8f6c\u6362\u7684\u65b9\u6cd5\uff0c\u4f8b\u5982\u5c06\u56fe\u7247\u4eceBGR\u8f6c\u6362\u4e3aRGB\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u56fe\u50cf\u5e73\u6ed1<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528\u9ad8\u65af\u6a21\u7cca\u5bf9\u56fe\u50cf\u8fdb\u884c\u5e73\u6ed1\u5904\u7406\uff0c\u4ee5\u964d\u4f4e\u566a\u58f0\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">blurred = cv2.GaussianBlur(image, (5, 5), 0)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u8fb9\u7f18\u68c0\u6d4b<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528Canny\u8fb9\u7f18\u68c0\u6d4b\u53ef\u4ee5\u63d0\u53d6\u56fe\u50cf\u7684\u8fb9\u7f18\u4fe1\u606f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">edges = cv2.Canny(image, 100, 200)<\/p>\n<p>cv2.imshow(&#39;Edges&#39;, edges)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001\u5b9e\u6218\u5e94\u7528<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u8bfb\u53d6\u56fe\u7247\u901a\u5e38\u662f\u56fe\u50cf\u5904\u7406\u9879\u76ee\u7684\u7b2c\u4e00\u6b65\u3002\u901a\u8fc7\u7ed3\u5408OpenCV\u7684\u5176\u4ed6\u529f\u80fd\uff0c\u53ef\u4ee5\u5b9e\u73b0\u8bb8\u591a\u6709\u8da3\u7684\u9879\u76ee\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><h4>1\u3001\u4eba\u8138\u68c0\u6d4b<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528OpenCV\u7684\u9884\u8bad\u7ec3\u7ea7\u8054\u5206\u7c7b\u5668\u8fdb\u884c\u4eba\u8138\u68c0\u6d4b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + &#39;haarcascade_frontalface_default.xml&#39;)<\/p>\n<p>gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n<p>faces = face_cascade.detectMultiScale(gray, 1.1, 4)<\/p>\n<p>for (x, y, w, h) in faces:<\/p>\n<p>    cv2.rectangle(image, (x, y), (x + w, y + h), (255, 0, 0), 2)<\/p>\n<p>cv2.imshow(&#39;Face Detection&#39;, image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u7269\u4f53\u8ddf\u8e2a<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7\u989c\u8272\u7279\u5f81\u5b9e\u73b0\u7b80\u5355\u7684\u7269\u4f53\u8ddf\u8e2a\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># HSV\u989c\u8272\u7a7a\u95f4<\/p>\n<p>hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)<\/p>\n<h2><strong>\u5b9a\u4e49\u989c\u8272\u8303\u56f4<\/strong><\/h2>\n<p>lower_blue = np.array([110, 50, 50])<\/p>\n<p>upper_blue = np.array([130, 255, 255])<\/p>\n<h2><strong>\u521b\u5efa\u63a9\u6a21<\/strong><\/h2>\n<p>mask = cv2.inRange(hsv, lower_blue, upper_blue)<\/p>\n<h2><strong>\u7ed3\u679c\u56fe\u50cf<\/strong><\/h2>\n<p>result = cv2.bitwise_and(image, image, mask=mask)<\/p>\n<p>cv2.imshow(&#39;Object Tracking&#39;, result)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>OpenCV\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u56fe\u50cf\u8bfb\u53d6\u548c\u5904\u7406\u529f\u80fd\uff0c\u901a\u8fc7\u719f\u7ec3\u638c\u63e1\u8fd9\u4e9b\u57fa\u672c\u64cd\u4f5c\uff0c\u53ef\u4ee5\u4e3a\u540e\u7eed\u7684\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u9879\u76ee\u6253\u4e0b\u575a\u5b9e\u7684\u57fa\u7840\u3002\u5728\u4f7f\u7528\u8fc7\u7a0b\u4e2d\uff0c\u6ce8\u610f\u5408\u7406\u5904\u7406\u5f02\u5e38\u60c5\u51b5\uff0c\u5e76\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u56fe\u50cf\u5904\u7406\u7b97\u6cd5\uff0c\u4ee5\u8fbe\u5230\u6700\u4f73\u6548\u679c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u7247\uff1f<\/strong><br \/>\u5728Python\u4e2d\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u7247\u975e\u5e38\u7b80\u5355\u3002\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86OpenCV\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7<code>pip install opencv-python<\/code>\u6765\u5b89\u88c5\u3002\u4f7f\u7528<code>cv2.imread()<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6\u56fe\u7247\uff0c\u4f20\u5165\u7684\u53c2\u6570\u662f\u56fe\u7247\u7684\u6587\u4ef6\u8def\u5f84\u3002\u4ee3\u7801\u793a\u4f8b\uff1a  <\/p>\n<pre><code class=\"language-python\">import cv2\n\nimage = cv2.imread(&#39;path\/to\/image.jpg&#39;)\n<\/code><\/pre>\n<p>\u8fd9\u6bb5\u4ee3\u7801\u4f1a\u5c06\u6307\u5b9a\u8def\u5f84\u7684\u56fe\u7247\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\uff0c\u4ee5\u4fbf\u540e\u7eed\u5904\u7406\u3002<\/p>\n<p><strong>OpenCV\u652f\u6301\u54ea\u4e9b\u56fe\u7247\u683c\u5f0f\uff1f<\/strong><br \/>OpenCV\u652f\u6301\u591a\u79cd\u56fe\u7247\u683c\u5f0f\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8eJPEG\u3001PNG\u3001BMP\u3001TIFF\u7b49\u3002\u5728\u4f7f\u7528<code>cv2.imread()<\/code>\u8bfb\u53d6\u56fe\u7247\u65f6\uff0c\u786e\u4fdd\u6587\u4ef6\u6269\u5c55\u540d\u6b63\u786e\uff0c\u4ee5\u4fbfOpenCV\u80fd\u6b63\u786e\u89e3\u6790\u56fe\u7247\u683c\u5f0f\u3002<\/p>\n<p><strong>\u8bfb\u53d6\u56fe\u7247\u540e\u5982\u4f55\u663e\u793a\u5b83\uff1f<\/strong><br \/>\u5728\u8bfb\u53d6\u56fe\u7247\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528OpenCV\u7684<code>cv2.imshow()<\/code>\u51fd\u6570\u6765\u663e\u793a\u56fe\u7247\u3002\u663e\u793a\u7a97\u53e3\u4f1a\u4fdd\u6301\u76f4\u5230\u7528\u6237\u6309\u4e0b\u4efb\u610f\u952e\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">cv2.imshow(&#39;Image&#39;, image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<p>\u901a\u8fc7\u8fd9\u6bb5\u4ee3\u7801\uff0c\u7528\u6237\u53ef\u4ee5\u67e5\u770b\u8bfb\u53d6\u7684\u56fe\u7247\uff0c\u6309\u4e0b\u4efb\u610f\u952e\u540e\u7a97\u53e3\u4f1a\u5173\u95ed\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python OpenCV\u8bfb\u53d6\u56fe\u7247\u7684\u6b65\u9aa4\u5305\u62ec\uff1a\u5bfc\u5165OpenCV\u5e93\u3001\u4f7f\u7528cv2.imread\u8bfb\u53d6\u56fe\u7247\u3001\u663e\u793a\u56fe\u7247\u4ee5 [&hellip;]","protected":false},"author":3,"featured_media":978653,"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\/978639"}],"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=978639"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/978639\/revisions"}],"predecessor-version":[{"id":978657,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/978639\/revisions\/978657"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/978653"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=978639"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=978639"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=978639"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}