Ed Murphy

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I really like this direction. I really like that the user could spin-up a vehicle without needing any Python or even a configuration file. There a few things to think...

I know @TCIII uses the PS4 on Nano. He was having this issue.

@DocGarbanzo Thank you for the review, I've rebased and updated version="4.3.20"

@TCIII we are at donkey 4.4 now. Can we close this issue?

I'm going to close this. Both Tensorflow and Tensorflow Lite support multi-threaded inference. Here is Google's page on how to profile a model and the levers for increasing performance, including...

docs have been updated https://docs.donkeycar.com/parts/controllers/#ps4-dualshock-4-wireless-gamepad-controller

T265 is not longer suppored by Intel, so I'm going to close this issue.

Now that we have completed upgrading the computer vision template (cv_control.py) and the path follow template (path_follow.py) it seems reasonable to remove the other templates.

@DocGarbanzo also implemented an improvement to caching when using augmentation in PR https://github.com/autorope/donkeycar/pull/1050 Total training time on my RTX-2060 went from 2.5 hours to 45 minutes for 21 epochs

This can be done in the DonkeyUI in the [Pilot Arena](https://docs.donkeycar.com/utility/ui/#the-pilot-arena)