dotchen / LearningByCheating

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
MIT License
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Error while running data collection file #45

Open SExpert12 opened 5 months ago

SExpert12 commented 5 months ago

Hi, I have run the data collection file with cmd as python 3 data_collector.py --dataset_path $PWD/DATA_N --frame_skip 10 --frames_per_episode 100 --n_episodes 5 --port 2000 --n_vehicles 5 --n_pedestrians 0

Then the output is like Initial collided: False Frame: 97%|█████████████████████████████████▉ | 97/100 [00:39<00:01, 2.45it/s] Frame: 97%|█████████████████████████████████▉ | 97/100 [00:39<00:01, 2.60it/sspawned 5 vehicles | 0/100 [00:00<?, ?it/s] spawned 0 pedestrians Initial collided: False Frame: 100%|██████████████████████████████████| 100/100 [00:40<00:00, 2.45it/s] Frame: 100%|██████████████████████████████████| 100/100 [00:40<00:00, 2.77it/sspawned 5 vehicles | 0/100 [00:00<?, ?it/s] spawned 0 pedestrians Initial collided: False Frame: 100%|██████████████████████████████████| 100/100 [00:41<00:00, 2.43it/s] Frame: 100%|██████████████████████████████████| 100/100 [00:41<00:00, 2.71it/sspawned 5 vehicles | 0/100 [00:00<?, ?it/s] spawned 0 pedestrians Initial collided: False Frame: 100%|██████████████████████████████████| 100/100 [00:41<00:00, 2.42it/s] Frame: 100%|██████████████████████████████████| 100/100 [00:41<00:00, 2.33it/sspawned 5 vehicles | 0/100 [00:00<?, ?it/s] spawned 0 pedestrians Initial collided: False

for few hours.

But after that output folder is blank.

How to resolve this?

I am using CARLA version 0.9.14.