opencv

2023-01-29 06:51| 来源: 网络整理| 查看: 265

其中的内容均参考自官网的说明： http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_tutorials.html

显示图片-Gui Features in OpenCV-

Getting Started with Images# 显示图片 import cv2 img = cv2.imread("./animal.jpg", cv2.IMREAD_COLOR ) cv2.namedWindow("Image") cv2.imshow("Image", img) print "save press s, exit press esc" key = cv2.waitKey (0) if key == 27: cv2.destroyAllWindows() elif key == ord('s'): cv2.imwrite("wirte.png", img) cv2.destroyAllWindows()

绘制图形-Gui Features in OpenCV-

Drawing Functions in OpenCV# drawing import numpy import cv2 # Create a black image img = numpy.zeros((512,512,3), numpy.uint8) # Draw a diagonal blue line with thickness of 5 px cv2.line(img,(0,0),(511,511),(255,0,0),5) # draw a rectangle cv2.rectangle(img,(384,0),(510,128),(0,255,0),3) # draw a circle cv2.circle(img,(447,63), 63, (0,0,255), -1) # add text font = cv2.FONT_HERSHEY_SIMPLEX cv2.putText(img,'Meng', (10,500), font, 4, (255,255,255), 2) # cv2.putText(img,'OpenCV',(10,500), font, 4,(255,255,255),2,cv2.LINE_AA) # cv2.LINE_AA not found # write file to disk # cv2.namedWindow("Image") cv2.imshow("Image", img) key = cv2.waitKey (0) cv2.destroyAllWindows()

3.人脸识别

参考文档： http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html#face-detection

其中具体如何训练见文档，这里教大家如何使用训练好的xml文件。

haarcascade_frontalface_default.xml

haarcascade_eye.xml

这两个文件在解压的源代码路径 opencv-3.2.0/data/haarcascades/ 目录下，手动拷贝一下就可以了，代码如下

# face detection import numpy import cv2 face_cascade = cv2.CascadeClassifier("data/haarcascade_frontalface_default.xml") eye_cascade = cv2.CascadeClassifier('data/haarcascade_eye.xml') img = cv2.imread("wbq.jpg") gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, 1.3, 5) for (x,y,w,h) in faces: cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) roi_gray = gray[y:y+h, x:x+w] roi_color = img[y:y+h, x:x+w] eyes = eye_cascade.detectMultiScale(roi_gray) for (ex,ey,ew,eh) in eyes: cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2) cv2.imshow('img',img) cv2.waitKey(0) cv2.destroyAllWindows()

效果稍微有点偏差，比如说大峰哥这个图。

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