OpenCV与图像处理（七）

以下代码均在python3.6，opencv4.2.0环境下试了跑一遍，可直接运行。

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1、基于OpenCV中自带的HOG的行人检测分类器，实现行人检测

代码语言：javascript复制

# *_*coding:utf-8 *_*
import cv2
import numpy as np

img = cv2.imread('person.jpg')
hog = cv2.HOGDescriptor()
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector()) #使用opencv默认的模型
rects, _ = hog.detectMultiScale(img, winStride=(4,4), padding=(8,8), scale=1.05)
for (x,y,w,h) in rects:
    cv2.rectangle(img, (x,y), (x w,y h), (0,0,255), 2)
cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

运行结果：

2、基于OpenCV中自带的Haar的人脸检测分类器，实现人脸人眼检测

1）人脸检测

代码语言：javascript复制

# -*- coding: utf-8 -*-
import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

img_path = 'face.jpg'
img = cv2.imread(img_path)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faceRects = face_cascade.detectMultiScale(gray,1.1,5)
for faceRect in faceRects:
    x, y, w, h = faceRect
    cv2.rectangle(img, (x,y), (x w,y h), (255,0,0), 2, 8, 0) 
cv2.namedWindow("image", cv2.WINDOW_AUTOSIZE)
cv2.imshow("image", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

运行结果：

2）人脸人眼检测

代码语言：javascript复制

# -*- coding: utf-8 -*-
import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml")

img_path = 'face.jpg'
img = cv2.imread(img_path)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

faceRects = face_cascade.detectMultiScale(gray,1.1,5)
l=len(faceRects)
print(l)
for faceRect in faceRects:
    x, y, w, h = faceRect
    cv2.rectangle(img, (x,y), (x w,y h), (255,0,0), 2, 8, 0)

    roi_gray = gray[y:y h,x:x w]
    roi_color = img[y:y h,x:x w]
    
    eyes = eye_cascade.detectMultiScale(roi_gray,1.1,1,cv2.CASCADE_SCALE_IMAGE,(2,2))
    for (ex,ey,ew,eh) in eyes:
        cv2.rectangle(roi_color, (ex,ey), (ex ew,ey eh), (0,255,0), 2)

cv2.namedWindow("image", cv2.WINDOW_AUTOSIZE)
cv2.imshow("image", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

运行结果：

3、基于OpenCV中自带的LBP的人脸检测分类器，实现人脸检测

代码语言：javascript复制

# -*- coding: utf-8 -*-
import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier("lbpcascade_frontalface.xml")

img_path = 'face.jpg'
img = cv2.imread(img_path)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

faceRects = face_cascade.detectMultiScale(gray,1.1,5)
for faceRect in faceRects:
    x, y, w, h = faceRect
    cv2.rectangle(img, (x,y), (x w,y h), (255,0,0), 2, 8, 0)

cv2.namedWindow("image", cv2.WINDOW_AUTOSIZE)
cv2.imshow("image", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

运行结果：

以上内容如有错误或者需要补充的，请留言！

opencv 人脸识别

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