Vedanta Jha
@zerollzeng . Facing the same issue. Were you able to fix this ?
@rosinality I tried to use the same Dockerfile, But for some reason facing issues with running tensorflow-gpu. Would it be possible for you to provide the Dockerfile you used? Thanks
@jogo Kindly take a look at the PR I've created to add this feature.
@jogo Can you please take a look at the PR I've created , I would like to know what should be the next steps ? This feature is actually kind...
Using another thread for grabbing frames slightly increases the speed.
@allo- I employed the following tricks to increase the speed, It definitely results in better performance 1. Using a different thread to grab frame 2. Replacing .astype('uint8') with .view('uint8') [:,:]...
1. Using a separate thread allows frames to be read continuously from the I/O thread, all while our root thread processes the current frame. Once the root thread has finished...
Should I create a PR for 2nd and 3rd point?
@allo- Also, Would be great if you could share some ideas on how we can use threading ? Like, Some locking methods that you think can work for this problem
@allo- Do you think we should make the changes I suggested(2nd and 3rd not threading). These definitely do improve the performance.