search

bradyz / 2020_CARLA_challenge

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge
182 stars 50 forks source link

topdown segmentation images were all black #6

Closed nuomizai closed 4 years ago

nuomizai commented 4 years ago

After I downloaded the full dataset provided in this project, I found that the topdown png picitures were all black. And I opened several route folders, but the segmentation images were the same (all black). Why this happened? Did that mean that I can not use the topdown segmentation images for training?

bradyz commented 4 years ago

The top down segmentation is encoded as class IDs (0 through number of classes) This is why it looks black Run the dataset.py script to see it colorized

nuomizai commented 4 years ago

The top down segmentation is encoded as class IDs (0 through number of classes) This is why it looks black Run the dataset.py script to see it colorized

Thank you, @bradyz . I have run the dataset.py and seen the topdown segmentation results successfully. By the way, in your paper, you mentioned that your model was also tested under NoCrash Benchmark. So, how can I test the agent in this project under that benchmark? Do you have any code demenstration? Thank you for your help :)

bradyz commented 4 years ago

The benchmark for that is a little different, check out the original repo https://github.com/dianchen96/LearningByCheating for information on how to run the NoCrash benchmark

nuomizai commented 4 years ago

All right. Thank you! @bradyz