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draw contours and area on image for motion debugging

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blakeblackshear 2019-02-17 10:34:48 -06:00
parent d9d3937a0f
commit 2b0ebfa354
1 changed files with 18 additions and 10 deletions
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16
detect_objects.py
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@ -478,25 +478,33 @@ def detect_motion(shared_arr, shared_frame_time, ready_for_frame, shared_motion,
motion_frames = 0 motion_frames = 0
continue continue
motion_found = False
# loop over the contours # loop over the contours
for c in cnts: for c in cnts:
# if the contour is big enough, count it as motion # if the contour is big enough, count it as motion
contour_area = cv2.contourArea(c) contour_area = cv2.contourArea(c)
if contour_area > min_motion_area: if contour_area > min_motion_area:
motion_found = True
if debug: if debug:
(x, y, w, h) = cv2.boundingRect(c) cv2.drawContours(cropped_frame, [c], -1, (0, 255, 0), 2)
cv2.rectangle(thresh, (x, y), (x + w, y + h), (0, 255, 0), 2) x, y, w, h = cv2.boundingRect(c)
cv2.putText(cropped_frame, str(contour_area), (x, y),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 100, 0), 2)
else:
break
if motion_found:
motion_frames += 1 motion_frames += 1
# if there have been enough consecutive motion frames, report motion # if there have been enough consecutive motion frames, report motion
if motion_frames >= 3: if motion_frames >= 3:
shared_motion.value = 1 shared_motion.value = 1
last_motion = now last_motion = now
break else:
motion_frames = 0 motion_frames = 0
if debug and motion_frames > 0: if debug and motion_frames > 0:
cv2.imwrite("/lab/debug/motion-{}-{}-{}.jpg".format(region_x_offset, region_y_offset, datetime.datetime.now().timestamp()), thresh) cv2.imwrite("/lab/debug/motion-{}-{}-{}.jpg".format(region_x_offset, region_y_offset, datetime.datetime.now().timestamp()), cropped_frame)
if __name__ == '__main__': if __name__ == '__main__':
mp.freeze_support() mp.freeze_support()