autorope / donkeycar

Open source hardware and software platform to build a small scale self driving car.
http://www.donkeycar.com
MIT License
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[Question] Deploying Stable Baselines 3 PPO-Trained Model on Jetson Nano for Real-Time Execution #1148

Open Gribesh opened 7 months ago

Gribesh commented 7 months ago

This is related to gym-donkeycar. I cannot ask questions or issues in gym-donkeycar, so I am raising the issue here.

I have successfully trained a reinforcement learning model using Proximal Policy Optimization (PPO) through Stable Baselines 3 and the RL Baselines 3 Zoo frameworks. The model's performance has been validated within a simulation environment, and it works.

I am now at the stage where I wish to transition from simulation to deployment on a Jetson Nano for real-time operation. However, I am encountering uncertainty with the process of utilizing the manage.py file to initiate the model's runtime on the hardware.

My specific queries are as follows:

I would greatly appreciate guidance or references to documentation that may be helpful. Please let me know if any aspects of my question require clarification, and I will provide additional information.

Thanks.