nvidia_traffic_sign
1. 环境配置
Training
|
Version |
| OS |
Ubuntu 18.04 |
| Nvidia Driver |
440 |
| CUDA Version |
CUDA 10.02-base |
Inference
|
Version |
| OS |
Ubuntu 18.04 L4T |
| CUDA |
10.2 |
| CUDNN |
8.0.0 |
| TensorRT |
7.1.0 |
2. 相关命令
Creating container and starting jupyter notebook
sudo docker run --runtime=nvidia -it \
-v /path/to/dir/on/host:/workspace/tlt-experiments \
-p 8888:8888 nvcr.io/nvidia/tlt-streamanalytics:v2.0_py3 /bin/bash
jupyter notebook --ip 0.0.0.0 --allow-root
Entering the container created before
sudo docker ps -l # Get the latest ran containerID
sudo docker start containerID
sudo exec -it containerID /bin/bash