WLINUX/TLT at master · datlt4/WLINUX · GitHub

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[ ] Catalog » ResourcesTLT » CV Sample WorkFlows
https://ngc.nvidia.com/catalog/resources/nvidia:tlt_cv_samples

[ ] Docs » Object Detection » DetectNet_v2
https://docs.nvidia.com/tao/archive/tlt-30/text/object_detection/detectnet_v2.html

//=---------------------------------------------------

[ ] Catalog » Models » License Plate Recognition
https://ngc.nvidia.com/catalog/models/nvidia:tlt_lprnet

[ ] Docs » License Plate Recognition Model (LPRNet)
https://docs.nvidia.com/tao/archive/tlt-30/text/purpose_built_models/lprnet.html

[ ] Docs » Character Recognition » LPRNet
https://docs.nvidia.com/tao/archive/tlt-30/text/character_recognition/lprnet.html

//=---------------------------------------------------

[ ] Catalog » Models » LPDNet
https://ngc.nvidia.com/catalog/models/nvidia:tlt_lpdnet

[ ] Docs » LPDNet
https://docs.nvidia.com/tao/archive/tlt-30/text/purpose_built_models/lpdnet.html

//=---------------------------------------------------

[ ] Catalog » Models » PeopleNet
https://ngc.nvidia.com/catalog/models/nvidia:tlt_peoplenet

[ ] Docs » PeopleNet
https://docs.nvidia.com/tao/archive/tlt-30/text/purpose_built_models/peoplenet.html

//=---------------------------------------------------

[ ] Catalog » Models » BodyPoseNet
https://ngc.nvidia.com/catalog/models/nvidia:tlt_bodyposenet

//=---------------------------------------------------
[ ] Docs » TrafficCamNet
https://docs.nvidia.com/tao/archive/tlt-30/text/purpose_built_models/trafficcamnet.html

[ ] Catalog » Models » TrafficCamNet
https://ngc.nvidia.com/catalog/models/nvidia:tlt_trafficcamnet


//=---------------------------------------------------
//=---------------------------------------------------

```
ngc config set
```

```
docker login nvcr.io
$oauthtoken
YWIwczloMjkwM3RnOHVhMW1xdXVnMnFpanY6ZjFjYjA1ZGUtNmU1ZS00N2IxLTljZjMtODEyOWI4NjExNzNl
```

```
jupyter notebook --ip 0.0.0.0 --port 8888 --allow-root
```

```
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
   && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
   && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
curl -s -L https://nvidia.github.io/nvidia-container-runtime/experimental/$distribution/nvidia-container-runtime.list | sudo tee /etc/apt/sources.list.d/nvidia-container-runtime.list
sudo apt-get update
sudo apt-get install -y nvidia-docker2
sudo systemctl restart docker
sudo docker run --rm --gpus all nvidia/cuda:11.1-base nvidia-smi
```

```
sudo newgroup docker
sudo chmod 666 /var/run/docker.sock
sudo usermod -aG docker ${USER}
```