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import cv2 | |
import time | |
hog = cv2.HOGDescriptor() | |
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector()) | |
cap = cv2.VideoCapture("/path/to/test/video") | |
while True: | |
r, frame = cap.read() | |
if r: | |
start_time = time.time() | |
frame = cv2.resize(frame,(1280, 720)) # Downscale to improve frame rate | |
gray_frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY) # HOG needs a grayscale image | |
rects, weights = hog.detectMultiScale(gray_frame) | |
# Measure elapsed time for detections | |
end_time = time.time() | |
print("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("preview", frame) | |
k = cv2.waitKey(1) | |
if k & 0xFF == ord("q"): # Exit condition | |
break |
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