{"id":302,"date":"2020-11-24T22:35:30","date_gmt":"2020-11-24T14:35:30","guid":{"rendered":"http:\/\/www.type59magictank.space\/?p=302"},"modified":"2022-11-14T18:39:24","modified_gmt":"2022-11-14T10:39:24","slug":"python%e5%80%9f%e5%8a%a9opencv%e5%ba%93%e5%9c%a8%e6%a0%91%e8%8e%93%e6%b4%be%e4%b8%8a%e5%ae%9e%e7%8e%b0%e7%ae%80%e5%8d%95%e4%ba%ba%e8%84%b8%e8%af%86%e5%88%ab","status":"publish","type":"post","link":"https:\/\/www.type59magictank.space\/index.php\/2020\/11\/24\/python%e5%80%9f%e5%8a%a9opencv%e5%ba%93%e5%9c%a8%e6%a0%91%e8%8e%93%e6%b4%be%e4%b8%8a%e5%ae%9e%e7%8e%b0%e7%ae%80%e5%8d%95%e4%ba%ba%e8%84%b8%e8%af%86%e5%88%ab\/","title":{"rendered":"python\u501f\u52a9opencv\u5e93\u5728\u6811\u8393\u6d3e\u4e0a\u5b9e\u73b0\u7b80\u5355\u4eba\u8138\u8bc6\u522b"},"content":{"rendered":"

\"\"<\/p>\n

\u8fd9\u4e2a\u661f\u671fblog\u5dee\u70b9\u6709\u6ca1\u6709\u4e1c\u897f\u4e86\uff0c\u597d\u51e0\u672c\u5927\u4e66\u8981\u770b\u6765\u4e0d\u53ca\u53d1blog\u5c31\u628a\u4e4b\u524d\u641e\u5f97\u4e00\u76f4\u6ca1\u5199\u7684\u4e1c\u897f\u53d1\u4e00\u53d1\u3002<\/p>\n

\u8fd0\u884c\u9700\u8981pip\u5b89\u88c5python\u7684python-opencv\u5e93\u7136\u540e\u53bbhttps:\/\/github.com\/opencv\/opencv\u628a\u91cc\u9762\u7684\u6a21\u578b\u514b\u9686\u4e0b\u6765\u4f7f\u7528<\/p>\n

\u8fd9\u91cc\u4f7f\u7528\u7684\u662f\u6811\u8393\u6d3e\u5b98\u65b9\u7cfb\u7edf\uff0c\u5bf9\u6444\u50cf\u5934\u7684\u652f\u6301\u65b9\u4fbf\u4e00\u70b9\u3002<\/p>\n

python\u7a0b\u5e8f\u4ee3\u7801\u8d34\u5728\u4e0b\u9762<\/p>\n

import numpy as np\nimport cv2\n\n# \u4eba\u8138\u8bc6\u522b\u5206\u7c7b\u5668\nfaceCascade = cv2.CascadeClassifier('\/home\/pi\/.local\/lib\/python3.7\/site-packages\/cv2\/data\/haarcascade_frontalface_default.xml')\n\n# \u8bc6\u522b\u773c\u775b\u7684\u5206\u7c7b\u5668\neyeCascade = cv2.CascadeClassifier('\/home\/pi\/.local\/lib\/python3.7\/site-packages\/cv2\/data\/haarcascade_eye.xml')\n\n#\u8fd9\u4e2a\u5730\u65b9\u770b\u4f60\u81ea\u5df1\u7684\u6587\u4ef6\u5728\u54ea\u91cc\n\n# \u5f00\u542f\u6444\u50cf\u5934\ncap = cv2.VideoCapture(0)\n#cap.set(3,640) # set Width\n#cap.set(4,480) # set Height\nok = True\n\nwhile ok:\n    # \u8bfb\u53d6\u6444\u50cf\u5934\u4e2d\u7684\u56fe\u50cf\uff0cok\u4e3a\u662f\u5426\u8bfb\u53d6\u6210\u529f\u7684\u5224\u65ad\u53c2\u6570\n    ok, img = cap.read()\n    # \u8f6c\u6362\u6210\u7070\u5ea6\u56fe\u50cf\n    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n\n    # \u4eba\u8138\u68c0\u6d4b\n    \n    faces = faceCascade.detectMultiScale(\n        gray,\n        scaleFactor=1.2,\n        minNeighbors=6, \n        #\u8fd9\u91cc\u662f\u57fa\u4e8e\u6a21\u578b\u7684\u51c6\u786e\u6027\u53c2\u6570\uff0c\u8d8a\u5c0f\u73b0\u5b9e\u7684\u53ef\u80fd\u5224\u65ad\u8d8a\u591a\n        minSize=(20, 20)\n    )   #\u91c7\u7528Haar+Cascade\u5206\u7c7b\u5668\u8fdb\u884c\u8138\u90e8\u8bc6\u522b\n    result = []\n    # \u5728\u68c0\u6d4b\u4eba\u8138\u7684\u57fa\u7840\u4e0a\u68c0\u6d4b\u773c\u775b\n    for (x, y, w, h) in faces:\n        fac_gray = gray[y: (y+h), x: (x+w)]\n        result = []\n        eyes = eyeCascade.detectMultiScale(fac_gray, 1.3, 2)\n\n        # \u773c\u775b\u5750\u6807\u7684\u6362\u7b97\uff0c\u5c06\u76f8\u5bf9\u4f4d\u7f6e\u6362\u6210\u7edd\u5bf9\u4f4d\u7f6e\n        for (ex, ey, ew, eh) in eyes:\n            result.append((x+ex, y+ey, ew, eh))\n\n    # \u753b\u77e9\u5f62\n    for (x, y, w, h) in faces:\n        cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)\n\n    for (ex, ey, ew, eh) in result:\n        cv2.rectangle(img, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)\n\n    cv2.imshow('video', img)\n\n    k = cv2.waitKey(1)\n    if k == 27:    # press 'ESC' to quit\n        break\n\ncap.release()\ncv2.destroyAllWindows()<\/pre>\n
\u8fd9\u91cc\u662f\u6a21\u578b\u548c\u4ee3\u7801\u6587\u4ef6code<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u8fd9\u4e2a\u661f\u671fblog\u5dee\u70b9\u6709\u6ca1\u6709\u4e1c\u897f\u4e86\uff0c\u597d\u51e0\u672c\u5927\u4e66\u8981\u770b\u6765\u4e0d\u53ca\u53d1blog\u5c31\u628a\u4e4b\u524d\u641e\u5f97\u4e00\u76f4\u6ca1\u5199\u7684\u4e1c\u897f\u53d1\u4e00\u53d1\u3002  …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14,7,26],"tags":[],"class_list":["post-302","post","type-post","status-publish","format-standard","hentry","category-python","category-7","category-26"],"yoast_head":"\npython\u501f\u52a9opencv\u5e93\u5728\u6811\u8393\u6d3e\u4e0a\u5b9e\u73b0\u7b80\u5355\u4eba\u8138\u8bc6\u522b - \u6f2b\u6f2b\u5b66\u4e60\u8def<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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