OpenCV项目6-图像检测之人脸检测

1.图片读取

img = cv2.imread('./p3.png')

2.图片灰度化

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

3.haar级联分类器创建

face = cv2.CascadeClassifier('./haarcascade_frontalface_default.xml') # 人脸
eye = cv2.CascadeClassifier('./haarcascade_eye.xml') # 眼睛

4.人脸框及人眼框检测、绘制

faces = face.detectMultiScale(gray)
for (x, y, w, h) in faces:
    cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 2)
    roi_img = img[y: y + h, x: x + w]       # 感兴趣区域即人脸区域
    eyes = eye.detectMultiScale(roi_img)  # 人脸区域寻找人眼
    for (ox, oy, ow, oh) in eyes:
        cv2.rectangle(roi_img, (ox, oy), (ox + ow, oy + oh), (0, 255, 0), 2)
        roi_eye = roi_img[oy: oy + oh, ox: ox + ow] # 人眼框
        img[y: y + h, x: x + w] = roi_img # 人眼框赋值给彩色图
        cv2.imshow('eye', roi_eye)

5.图片显示

cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()