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A pytorch implementation to train the conditional imitation learning policy in "Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective".

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The gpu has no effect, the cpu usage is full, and the gpu usage is only occasionally occupied.

Can i have a copy of your trained model ? I just want to test.

Kindly help us in solving issues.. I have tried with python3.5/python2.7, still smae issues . Do the needful File "main.py", line 316, in main() File "main.py", line 190, in main...

Hi,I saw the paper mentioned in the reference link.For that 3 weather conditions are used for training and one is for evaluation right. However a closer inspection of the dataset...

I'm wondering if you can post the datafile names (e.g. data_03664) from the original carla dataset that correspond to the different weather conditions (daytime, daytime after rain, clear sunset, and...

Hi, I run your implementation, and there is a problem. `Traceback (most recent call last): File "main.py", line 401, in main() File "main.py", line 181, in main num_workers=args.workers) File "/data/cag-stu-zhangjunwang/Documents/carla_cil_pytorch-uncertain_open/carla_cil_pytorch-uncertain_open/carla_loader.py",...

Hi, I am getting this error when I run main.py. python3 main.py [2024-05-25 08:08:36.538732]: batch_size: 1 [2024-05-25 08:08:36.538852]: branch_weight: 1 [2024-05-25 08:08:36.538903]: epochs: 90 [2024-05-25 08:08:36.538942]: eval_dir: /home/ryzen/carlacilpytorch/datacilpytorch/AgentHuman/SegVal [2024-05-25 08:08:36.538981]:...