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Fix darknet_video.py to so it's not off by 1 frame #6717

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Fix darknet_video.py to so it's not off by 1 frame #6717

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2d680ed
Update darknet_video.py
mazatov Sep 22, 2020
4a61d97
Put maxsize to 250 to avoid memory overload
mazatov Sep 22, 2020
c788ce1
Update darknet_video.py
mazatov Sep 28, 2020
6a8d506
Update darknet_video.py
mazatov Sep 29, 2020
b94f949
Merge branch 'master' into patch-1
cenit Apr 16, 2021
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22 changes: 16 additions & 6 deletions darknet_video.py
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Original file line number Diff line number Diff line change
Expand Up @@ -61,6 +61,7 @@ def set_saved_video(input_video, output_video, size):


def video_capture(frame_queue, darknet_image_queue):
darknet_image_id = 0
while cap.isOpened():
ret, frame = cap.read()
if not ret:
Expand All @@ -69,9 +70,12 @@ def video_capture(frame_queue, darknet_image_queue):
frame_resized = cv2.resize(frame_rgb, (width, height),
interpolation=cv2.INTER_LINEAR)
frame_queue.put(frame_resized)
img_for_detect = darknet.make_image(width, height, 3)
darknet.copy_image_from_bytes(img_for_detect, frame_resized.tobytes())
darknet_image_queue.put(img_for_detect)
darknet_image = darknet_images[darknet_image_id]
darknet.copy_image_from_bytes(darknet_image, frame_resized.tobytes())
darknet_image_queue.put(darknet_image)
if darknet_image_id==maxsize-1:
darknet_image_id = 0
darknet_image_id+=1
cap.release()


Expand Down Expand Up @@ -112,9 +116,10 @@ def drawing(frame_queue, detections_queue, fps_queue):

if __name__ == '__main__':
frame_queue = Queue()
darknet_image_queue = Queue(maxsize=1)
detections_queue = Queue(maxsize=1)
fps_queue = Queue(maxsize=1)
maxsize = 250
darknet_image_queue = Queue(maxsize = maxsize-2)
detections_queue = Queue(maxsize = maxsize-2)
fps_queue = Queue(maxsize = maxsize-2)

args = parser()
check_arguments_errors(args)
Expand All @@ -128,6 +133,11 @@ def drawing(frame_queue, detections_queue, fps_queue):
height = darknet.network_height(network)
input_path = str2int(args.input)
cap = cv2.VideoCapture(input_path)
darknet_images = []
for i in range(maxsize):
darknet_image = darknet.make_image(width, height, 3)
darknet_images.append(darknet_image)

Thread(target=video_capture, args=(frame_queue, darknet_image_queue)).start()
Thread(target=inference, args=(darknet_image_queue, detections_queue, fps_queue)).start()
Thread(target=drawing, args=(frame_queue, detections_queue, fps_queue)).start()