def worker(input_q, output_q):
"""
Loads a frozen Tensorflow model in memory.
:param input_q:
:param output_q:
:return:
"""
detection_graph = tf.Graph()
with detection_graph.as_default():
od_graph_def = tf.GraphDef()
with tf.gfile.GFile(FROZEN_MODEL_PATH, 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
sess = tf.Session(graph=detection_graph)
fps = FPS().start()
while True:
fps.update()
frame = input_q.get()
output_q.put(detect_objects(frame, sess, detection_graph))
fps.stop()
sess.close()
def worker(input_q,output_q):
fps = FPS().start()
while True:
fps.update()
frame = input_q.get()
output_q.put(cam_loop(frame))
fps.stop()
def worker(input_q, output_q):
# Load a (frozen) Tensorflow model into memory.
detection_graph = tf.Graph()
with detection_graph.as_default():
od_graph_def = tf.GraphDef()
with tf.gfile.GFile(PATH_TO_FROZEN_GRAPH, 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
sess = tf.Session(graph=detection_graph)
fps = FPS().start()
while True:
fps.update()
frame = input_q.get()
output_q.put(detect_objects(frame, sess, detection_graph))
fps.stop()
sess.close()
def main():
"""
Main program.
:return: void.
"""
# Create a Thread pool.
input_q = Queue(maxsize=args.queue_size)
output_q = Queue(maxsize=args.queue_size)
pool = Pool(args.num_workers, worker, (input_q, output_q))
# Load camera configuration.
width, height = INPUT_RESOLUTION[args.quality]["width"], INPUT_RESOLUTION[args.quality]["height"]
# Grab video input.
video_capture = WebcamVideoStream(src=args.video_source, width=width, height=height).start()
fps = FPS().start()
# Read video input.
while True:
# Update framerate.
fps.update()
# Grab frame.
frame = video_capture.read()
# Send frame to AI.
input_q.put(frame)
# Show processed frame.
cv.imshow("Webcam videostream ({width} x {height})".format(width=width, height=height), output_q.get())
# Exit program on the Q click.
if cv.waitKey(1) & 0xFF == ord('q'):
break
fps.stop()
# End program properly.
pool.terminate()
video_capture.stop()
cv.destroyAllWindows()
output_q.put(cam_loop(frame))
fps.stop()
if __name__ == '__main__':
logger = multiprocessing.log_to_stderr()
logger.setLevel(multiprocessing.SUBDEBUG)
input_q = Queue(maxsize=10)
output_q = Queue(maxsize=10)
pool = Pool(5,worker, (input_q,output_q))
video_capture = WebcamVideoStream('crashvideo5.mp4',800,600).start()
fps = FPS().start()
while True:
frame = video_capture.read()
input_q.put(frame)
cv2.imshow("videos",output_q.get())
fps.update()
if cv2.waitKey(1) & 0xFF == ord('q'):
break
fps.stop()
pool.terminate()
# input_q.join()
# output_q.join()
video_capture.stop()
logger = multiprocessing.log_to_stderr()
logger.setLevel(multiprocessing.SUBDEBUG)
input_q = Queue(maxsize=args.queue_size)
output_q = Queue(maxsize=args.queue_size)
pool = Pool(args.num_workers, worker, (input_q, output_q))
print(args.video_source)
print(args.width)
print(args.height)
video_capture = WebcamVideoStream(src=args.video_source,
width=args.width,
height=args.height).start()
fps = FPS().start()
while True: # fps._numFrames < 120
frame = video_capture.read()
input_q.put(frame)
t = time.time()
cv2.imshow('Video', output_q.get())
fps.update()
print('[INFO] elapsed time: {:.2f}'.format(time.time() - t))
if cv2.waitKey(1) & 0xFF == ord('q'):
break