peopleDetect.py

#OpenCV python HOG feature based people detector applied on video
#Find the peopledetect.py on opencv-master/samples/python on your OpenCV installation

import numpy as np
import cv2

def draw_detections(img, rects, thickness = 1):
    for x, y, w, h in rects:
        # the HOG detector returns slightly larger rectangles than the real objects.
        # so we slightly shrink the rectangles to get a nicer output.
        pad_w, pad_h = int(0.15*w), int(0.05*h)
        cv2.rectangle(img, (x+pad_w, y+pad_h), (x+w-pad_w, y+h-pad_h), (0, 255, 0), thickness)


if __name__ == '__main__':
    
    hog = cv2.HOGDescriptor()
    hog.setSVMDetector( cv2.HOGDescriptor_getDefaultPeopleDetector() )
    cap=cv2.VideoCapture('vid.avi')
    while True:
		_,frame=cap.read()
		found,w=hog.detectMultiScale(frame, winStride=(8,8), padding=(32,32), scale=1.05)
		draw_detections(frame,found)
		cv2.imshow('feed',frame)
		ch = 0xFF & cv2.waitKey(30)
		if ch == 27:
			break
    cv2.destroyAllWindows()