Human Detection using OpenCV's HOG people detector

detect.py

import cv2
import time

hog = cv2.HOGDescriptor()
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())

cap = cv2.VideoCapture('XVR_ch11_main_20200510120008_20200510130008.dav')

if(cap.isOpened() == False):
    print("Error!")

while(cap.isOpened()):
    ret, frame = cap.read()
    if ret == True:
        start_time = time.time()
        frame = cv2.resize(frame,(1280, 720))
        gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        
        rects, weights = hog.detectMultiScale(gray_frame)
        
        end_time = time.time()
        print(f"Elapsed time: {end_time-start_time}")

        for i, (x, y, w, h) in enumerate(rects):
            if weights[i] < 0.7:
                continue
            cv2.rectangle(frame, (x,y), (x+w, y+h), (0,255,0), 2)

        cv2.imshow('Body detector!', frame)

        if(cv2.waitKey(25) & 0xFF == ord('q')):
            break

    else:
        break

cap.release()
cv2.destroyAllWindows()