You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi @Kyfafyd,
Thanks for your interest in our method!
To accelerate the captioning, you can increase the batch-size.
To accelerate the splitting, you can separate your videos into different groups and launch multiple parallel processes by background commands or Python built-in multiprocessing package
Hope this helps!
Hi, @tsaishien-chen
Thanks for your reply! May I learn the exact approach you have used for splitting videos? And what is the estimated time for obtaining 2M sub-videos?
Hi @Kyfafyd,
Sorry but we don't keep the original source code.
The computation time depends on the number and spec of your machines. I suggest you to check the CPU usage when splitting the videos and make sure you launch proper number of parallel processes to use all of your CPU.
RT.
As there are a large number of videos for processing, if there is an acceleration, such as multi-processing?
The text was updated successfully, but these errors were encountered: