HOG目标检测

import cv2
import numpy as np
import matplotlib.pylab as pylab
img=cv2.imread('C:/Users/xpp/Desktop/Lena.png')#原始图像
hog=cv2.HOGDescriptor()#HOG描述子
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())#SVM分类器
(foundBoundingBoxes,weights)=hog.detectMultiScale(img,winStride=(2,2),padding=(8,8),scale=1.02,finalThreshold=0)
print(len(foundBoundingBoxes))
imgWithRawBboxes=img.copy()
for (hx,hy,hw,hh) in foundBoundingBoxes:
    cv2.rectangle(imgWithRawBboxes,(hx,hy),(hx+hw,hy+hh),(0,0,255),1)
pylab.figure(figsize=(20,12))
imgWithRawBboxes=cv2.cvtColor(imgWithRawBboxes,cv2.COLOR_BGR2RGB)
pylab.imshow(imgWithRawBboxes,aspect='auto') 
pylab.axis('off')
pylab.show()