Hao Shao

Hi! You can refer to this script: https://github.com/opendilab/InterFuser/blob/main/interfuser/render.py The usage of the rendering function: https://github.com/opendilab/InterFuser/blob/4145d6ca58c19ce2a29d319c47980cea05586b06/leaderboard/team_code/interfuser_agent.py#L500 The expected visualization should be like:

你好！ 1. 目前release的lmdriver_agent.py在一个阶段内只会有一个instruction出现，所以预测给定指令是否完成这个feature没有使用。在同时给多条连续指令时，这个预测会被采用 2. 除了默认输入的instruction，之后每一帧输入的sensor data都会生成这一帧对应的控制信号，然后控制信号会控制车辆运动。下一帧同理。你的理解应该没问题

Hi! 1. You can put the dataset anywhere you can access it. When you use the dataset to pretrain or finetune the model, the dataset path should be set to...

Hi Could you try the openxlab cli? To proceed effectively, you can either reach out to the openxlab support team directly for solutions or to provide feedback, or you can...

Hi! 1. Yes. Our pipeline is based on the closed-loop and end-to-end setting. The evaluation needs to interact with the simulator in a real-time manner. 2. Sorry, I can't reproduce...

Hi! It looks like you have not installed the vision encoder correctly. The model name should be `memfuser_baseline_e1d3_return_feature`, instead of `ResNet`. > "vfs_fuse.c:281 UCX ERROR inotify_add_watch(/tmp) failed: No space left...

Hi! I just created a blank conda env and installed the package. It's ok to run the following script: ```python import timm timm.create_model('memfuser_baseline_e1d3_return_feature') ``` Maybe you need to create a...

Hi! Could you just try: . /carla/CarlaUE4.sh -carla-server --world-port=15302 Maybe you can find more information at https://github.com/carla-simulator/carla/issues

Also, I have updated the `Setup` section in readme and some files in the repo. Please use the latest version.

Hi! With 3090, a frame in the simulator usually takes about 0.15 seconds.