Open niccolopetti opened 3 years ago
Hi, I think Tensorflow should use GPU by default if you have an Nvidia card with CUDA drivers, but I'm not 100% sure, I'd have to look into it. It also depend on which part is slower for you, can you paste the runlog?
Il lun 18 gen 2021, 14:46 Niccolò Petti notifications@github.com ha scritto:
Hi, thanks for the effort you have put into this project, I've been using the script but it takes the cpu usage to 100% and takes quite some time to process videos lasting a couple of hours, Are there any chances we could use our GPUs/TPUs to improve the performace?
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Yes I have a GTX1050 with cuda and cudnn on ubuntu 20.10, the slowest part is in the Cut and Merge function, that can take the CPU usage to 100% for long periods of time
niccolo@VivobookPro:/media/niccolo/DATA/simple-ehm$ python3 simple_ehm-runnable.py video.mp4
analyzing track...
100%|█████████████████████████▉| 32968000/33000000 [00:25<00:00, 1300154.62it/s]CUT and MERGE: running 6 ffmpeg simultaneous instances.
33008000it [00:40, 1300154.62it/s]
11%|████▉ | 10/88 [00:20<04:34, 3.51s/it]
12%|█████▍ | 11/88 [00:24<04:37, 3.60s/it]
25%|██████████▊ | 22/88 [01:36<05:01, 4.57s/it
So the issue is not tensorflow
but rather ffmpeg
being slow to encode on the CPU. Yes we can GPU-accelerate that, it's doable, but different APIs are provided for different cards (Intel/AMD/Nvidia) and making a universal kind of solution like an --enable-gpu
flag on launch would need a lot of checks and modification to the current pipeline, perhaps even better by using ffmpeg python API instead of opening Popen processes.
It's a lot of boring work which I'd be willing to do if I personally needed that and I had the spare time to.
But I'm not so sure right now I can promise you that. Anyways PRs are always welcome
Thanks for the answer, I am glad to know that it is doable and once I'll have more spare time to dedicate to it I'll try to do it and make a Pr if I succeed, any help from the community is welcome
Hi, thanks for the effort you have put into this project, I've been using the script but it takes the cpu usage to 100% and takes quite some time to process videos lasting a couple of hours, Are there any chances we could use our GPUs/TPUs to improve the performace?