while True:
dt = (time.time() - last_time)
last_time = time.time()
x = int((0.5 - random.random()) * noise_x + dt * slope_x -
dt * piscope.x_correction * degree_per_step_x + bump(bump_x) * 50)
y = int((0.5 - random.random()) * noise_y + dt * slope_y -
dt * piscope.y_correction * degree_per_step_y + bump(bump_y) * 50)
M = np.float32([[1, 0, x], [0, 1, y]])
frame = cv2.warpAffine(frame, M, (cols, rows))
tracker.queue.put(frame)
vis_frame = frame.copy()
draw_str(vis_frame, (20, 20), 'track count: %d' % len(tracker.tracks))
if draw_trails:
cv2.polylines(vis_frame, [
np.int32(tr)
for tr in [[t[:2] for t in tr] for tr in tracker.tracks]
], False, (0, 255, 0))
for tr in tracker.tracks:
cv2.circle(vis_frame, (tr[-1][0], tr[-1][1]), 2, (0, 255, 0), -1)
cv2.imshow('lk_track', vis_frame)
ch = 0xFF & cv2.waitKey(1)
if ch == 27:
break
time.sleep(0.1)
return frame, t0
threadn = cv2.getNumberOfCPUs()
pool = ThreadPool(processes = threadn)
pending = deque()
threaded_mode = True
latency = StatValue()
frame_interval = StatValue()
last_frame_time = clock()
while True:
while len(pending) > 0 and pending[0].ready():
res, t0 = pending.popleft().get()
latency.update(clock() - t0)
draw_str(res, (20, 20), "threaded : " + str(threaded_mode))
draw_str(res, (20, 40), "latency : %.1f ms" % (latency.value*1000))
draw_str(res, (20, 60), "frame interval : %.1f ms" % (frame_interval.value*1000))
cv2.imshow('threaded video', res)
if len(pending) < threadn:
ret, frame = cap.read()
t = clock()
frame_interval.update(t - last_frame_time)
last_frame_time = t
if threaded_mode:
task = pool.apply_async(process_frame, (frame.copy(), t))
else:
task = DummyTask(process_frame(frame, t))
pending.append(task)
ch = 0xFF & cv2.waitKey(1)
if ch == ord(' '):
return 0
while True:
dt = (time.time() - last_time)
last_time = time.time()
x = int((0.5-random.random())*noise_x + dt*slope_x-dt*piscope.x_correction*degree_per_step_x+ bump(bump_x)*50)
y = int((0.5-random.random())*noise_y + dt*slope_y-dt*piscope.y_correction*degree_per_step_y+bump(bump_y)*50)
M = np.float32([[1,0,x],[0,1,y]])
frame = cv2.warpAffine(frame,M,(cols,rows))
tracker.queue.put(frame)
vis_frame = frame.copy()
draw_str(vis_frame, (20, 20), 'track count: %d' % len(tracker.tracks))
if draw_trails:
cv2.polylines(vis_frame, [np.int32(tr) for tr in [[t[:2] for t in tr] for tr in tracker.tracks]], False, (0, 255, 0))
for tr in tracker.tracks:
cv2.circle(vis_frame, (tr[-1][0], tr[-1][1]), 2, (0, 255, 0), -1)
cv2.imshow('lk_track', vis_frame)
ch = 0xFF & cv2.waitKey(1)
if ch == 27:
break
time.sleep(0.1)
