{"id":1276,"date":"2020-07-13T21:03:33","date_gmt":"2020-07-13T13:03:33","guid":{"rendered":"https:\/\/www.linuxmi.com\/?p=1276"},"modified":"2020-07-13T21:03:33","modified_gmt":"2020-07-13T13:03:33","slug":"python-opencv-haarcascade-eye","status":"publish","type":"post","link":"https:\/\/www.linuxmi.com\/python-opencv-haarcascade-eye.html","title":{"rendered":"Python OpenCV\u6559\u7a0b\uff1a\u4f7f\u7528 HaarCascade \u8fdb\u884c\u773c\u775b\u68c0\u6d4b"},"content":{"rendered":"

\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u60f3\u8c08\u8c08\u4f7f\u7528Python OpenCV\u8fdb\u884c\u773c\u775b\u68c0\u6d4b\u3002\u6240\u4ee5\u5728\u672c\u6587\u4e2d\u6211\u4eec\u4f7f\u7528Haar\u7ea7\u8054\u5206\u7c7b\u5668\uff08Haar Cascade \uff09\u3002<\/p>\n

Haar Cascade \u662f\u4ec0\u4e48?<\/strong><\/p>\n

Haar\u7ea7\u8054\u5206\u7c7b\u5668\u7528\u4e8e\u4ece\u6e90\u5934\u68c0\u6d4b\u5b83\u6240\u8bad\u7ec3\u7684\u5bf9\u8c61\u3002Haar Cascade\u7684\u8bad\u7ec3\u65b9\u6cd5\u662f\u5c06\u6b63\u56fe\u50cf\u53e0\u52a0\u5728\u4e00\u7ec4\u8d1f\u56fe\u50cf\u4e0a\u3002\u57f9\u8bad\u901a\u5e38\u5728\u670d\u52a1\u5668\u548c\u4e0d\u540c\u7684\u9636\u6bb5\u8fdb\u884c\u3002\u901a\u8fc7\u4f7f\u7528\u9ad8\u8d28\u91cf\u7684\u56fe\u50cf\u548c\u589e\u52a0\u5206\u7c7b\u5668\u6240\u8bad\u7ec3\u7684\u9636\u6570\uff0c\u53ef\u4ee5\u5f97\u5230\u66f4\u597d\u7684\u7ed3\u679c\u3002<\/p>\n

\u4f60\u4e5f\u53ef\u4ee5\u4f7f\u7528github<\/a>\u4e0a\u63d0\u4f9b\u7684\u9884\u5b9a\u4e49Haar Cascades\u3002<\/p>\n

\u8fd9\u662f\u4f7f\u7528OpenCV\u8fdb\u884cPython\u773c\u775b\u68c0\u6d4b\u7684\u5b8c\u6574\u4ee3\u7801\uff1a<\/p>\n

\n
import<\/span><\/span> cv2\r\n\r\nimage = cv2.imread(\"www.linuxmi.com.jpg\"<\/span><\/span>)\r\neye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml'<\/span><\/span>)\r\neyes = eye_cascade.detectMultiScale(image, scaleFactor = 1.2<\/span><\/span>, minNeighbors = 5.3<\/span><\/span>)\r\n\r\nfor<\/span><\/span> (ex,ey,ew,eh) in<\/span><\/span> eyes:\r\n            cv2.rectangle(image,(ex,ey),(ex+ew,ey+eh),(255<\/span><\/span>,0<\/span><\/span>,0<\/span><\/span>),5<\/span><\/span>)\r\n\r\ncv2.imshow(\"www.linuxmi.com,Eye Detected\"<\/span><\/span>, image)\r\n\r\ncv2.waitKey(0<\/span><\/span>)\r\ncv2.destroyAllWindows()\r\n<\/code><\/pre>\n<\/div>\n
\u5728\u8fd9\u884c\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5df2\u7ecf\u52a0\u8f7d\u4e86\u56fe\u50cf\uff0c\u4f60\u9700\u8981\u5728\u5de5\u4f5c\u76ee\u5f55\u4e2d\u6709\u4e00\u4e2a\u56fe\u50cf<\/p>\n
image = cv2.imread(\"www.linuxmi.com.jpg\")<\/code><\/p>\n
\u8fd9\u662f\u4e3a\u4e86\u52a0\u8f7d\u6211\u4eec\u5df2\u7ecf\u590d\u5236\u5230\u76ee\u5f55\u4e2d\u7684Haar\u7ea7\u8054\u5206\u7c7b\u5668<\/p>\n
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')<\/code><\/p>\n
detecMultiScale()\u51fd\u6570\u7528\u4e8e\u68c0\u6d4b\u76ee\u6807\uff0c\u5982\u679c\u5728\u56fe\u50cf\u4e2d\u627e\u5230\u4e00\u4e2a\u4eba\u8138\uff0c\u5c06\u4ee5x,y,w,h\u7684\u5f62\u5f0f\u8fd4\u56de\u3002\u5b83\u9700\u8981\u4e00\u4e9b\u53c2\u6570\u3002<\/p>\n
ScaleFactor\uff1a\u8fd9\u662f\u4e00\u4e2a\u53c2\u6570\uff0c\u7528\u4e8e\u6307\u5b9a\u5728\u6bcf\u4e2a\u56fe\u50cf\u7f29\u653e\u65f6\u56fe\u50cf\u5927\u5c0f\u4f1a\u51cf\u5c11\u591a\u5c11\u3002<\/p>\n
minNeighbors\uff1a\u53c2\u6570\u6307\u5b9a\u6bcf\u4e2a\u5019\u9009\u77e9\u5f62\u5e94\u8be5\u4fdd\u7559\u591a\u5c11\u90bb\u5c45\uff0c\u8fd9\u4e2a\u53c2\u6570\u5c06\u5f71\u54cd\u68c0\u6d4b\u5230\u7684\u9762\u5b54\u7684\u8d28\u91cf\u3002<\/p>\n
eyes = eye_cascade.detectMultiScale(image, scaleFactor = 1.2, minNeighbors = 5.3)<\/code><\/p>\n
\u5728\u8fd9\u4e2a\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u60f3\u5728\u56fe\u50cf\u7684\u773c\u775b\u4e2d\u7ed8\u5236\u77e9\u5f62<\/p>\n
for (ex,ey,ew,eh) in eyes:
\ncv2.rectangle(image,(ex,ey),(ex+ew,ey+eh),(255,0,0),5)<\/p>\n
\u5728\u8fd9\u884c\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5e0c\u671b\u663e\u793a\u56fe\u50cf<\/p>\n
cv2.imshow(\"www.linuxmi.com,Eye Detected\", image)<\/code><\/p>\n
\u8fd0\u884c\u5b8c\u6574\u7684\u4ee3\u7801\uff0c\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n
\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u60f3\u8c08\u8c08\u4f7f\u7528Python OpenCV\u8fdb\u884c\u773c\u775b\u68c0\u6d4b\u3002\u6240\u4ee5\u5728\u672c\u6587\u4e2d\u6211\u4eec\u4f7f\u7528Haar\u7ea7\u8054\u5206 …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[4],"tags":[102],"class_list":["post-1276","post","type-post","status-publish","format-standard","hentry","category-python","tag-opencv"],"aioseo_notices":[],"views":1496,"_links":{"self":[{"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/posts\/1276","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/comments?post=1276"}],"version-history":[{"count":1,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/posts\/1276\/revisions"}],"predecessor-version":[{"id":1278,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/posts\/1276\/revisions\/1278"}],"wp:attachment":[{"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/media?parent=1276"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/categories?post=1276"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/tags?post=1276"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\"\"<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"