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January 4, 2018 19:19
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import numpy as np | |
import cv2 | |
import os # changed | |
def inside(r, q): | |
rx, ry, rw, rh = r | |
qx, qy, qw, qh = q | |
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh | |
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') | |
previously_found = False | |
while True: | |
_,frame=cap.read() | |
found,w=hog.detectMultiScale(frame, winStride=(8,8), padding=(32,32), scale=1.05) | |
# Hier dus ;) | |
if any(found) and not previously_found: | |
previously_found = True | |
cv2.imwrite('/home/pi/jebenter/opencv{num}.jpg'.format(num=num)) | |
elif not any(found): | |
previously_found = False | |
draw_detections(frame,found) | |
cv2.imshow('feed',frame) | |
ch = 0xFF & cv2.waitKey(1) | |
if ch == 27: | |
break | |
cv2.destroyAllWindows() |
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