LAV

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RuntimeError: main thread is not in main loop while running train_full.py

2

Thank you for the great effort that you have put in the project and for making it available publicly. I am facing an issue while training the full models using...

baderababtain

Model weights

1

Hi @dotchen, When are you planning to release the real model weights?

ricokoff

About data generation for perception training

18

Thanks for your fantastic work! I have read the paper and noticed that the mapping prediction and detection in perception training are both supervised. Since I didn't find details about...

xingbw

Using a pre-trained model

6

Hi there, I would like to test the pre-trained model against pedestrian models that I have been developing. I see there is a weight folder but still not sure how...

adhocmaster

Minimum requirements of VRAM

4

Hi Chen, thank you so much for sharing your amazing work! I tried and was able to run your pretrained agent with weight checkpoints in weights folder. Currently, I decided...

keishihara

failed to connect to newly created map

1

Thanks for your great work, I meet this question of "RuntimeError: failed to connect to newly created map" during evalution. Would you give me some suggestion?

raozhongyu

continue the training step without a break otherwise, there may be an error like here: ```python File "/LAV/lav/utils/datasets/lidar_painted_dataset.py", line 27, in __getitem__ lidar_painted = self.__class__.access('lidar_sem', lmdb_txn, index, 1).reshape(-1,len(self.seg_channels)) File "/LAV/lav/utils/datasets/basic_dataset.py",...

Kin-Zhang

Some question about the code

1

Hi Chen, thanks for the wonderful work. I would like to ask you some questions about the code in `lav_agent.py`. 1. Does the npxs means the next target point about...

Watson52

How to remove patches when evaluating?

4

Really impressed in your work. May I ask how you load the patches on map during evaluating? I looked thoroughly but failed to find ways. Really thanks if you are...

erouirior

Evaluation consumes all memory and leads failure

5

I start a carla docker image, and copy the LAV code into the container. The RouteScenorio1 last around 2hours and exit with the message "RuntimeError: Timeout: Agent took too long...

woolpeeker