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autonomousvision / neat

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
MIT License
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How to generate training data for different model #3

Closed hu-jerry closed 2 years ago

hu-jerry commented 2 years ago

Hi, Thanks for the interesting work !

I follow the step of Data Generation provides in the README file, "./leaderboard/scripts/run_evaluation.sh" to run the Autopilot. But I havesome questions,as the following : (1) this process is only to evaluate the performance of different agents on the defined routes. No data was generated. (2) different models (agent) need different types of data. I want to know how to generate training data for different models.

Any tips would be helpful.

Thanks in advance!

ap229997 commented 2 years ago
  1. You can assign the desired location to save data to the SAVE_PATH variable in ./leaderboard/scripts/run_evaluation.sh to generate data.
  2. The data is generated only once for all the models and it contains all the required modalities for all the models.