I have a python generator that outputs cv2 images (frames) from a video and am processing it using concurrent.futures.ThreadPoolExecutor
. I am seeing that tqdm hangs until the generator is exhausted. However, if I feed the executor from gen_frames_dummy
, tqdm updates with each task completion.
Any assistance would be greatly appreciated.
def gen_frames(s):
for frame_num in frames_2_get:
# skip to frame in video
s.set(cv2.CAP_PROP_POS_FRAMES, frame_num-1)
res, frame = s.read()
if res:
yield frame
def gen_frames_dummy(s):
for frame_num in frames_2_get:
yield np.zeros((16,16,3))
def frame_op(f):
# process the frame
pass
with ThreadPoolExecutor() as executor:
frames_g = gen_frames(vid_capture)
list(tqdm(executor.map(frame_op, frames_g), total=len(frames2get))
map
waits until all workers are completed and then the results are passed to tqdm
in your code.
I guess you can rewrite like this to make tqdm
work as intended.
for args in tqdm(frames_g, total=len(frames_2_get)):
executor.submit(frame_op, args)