Download and run the test samples
Now that you have created a virtualenv and installed all the dependencies, you are now ready to download and run the TAO samples on the notebook. The instructions below assume that you are running the TAO Computer Vision samples.
- Download and unzip the notebooks from NGC using the commands below:
wget --content-disposition https://api.ngc.nvidia.com/v2/resources/nvidia/tao/tao-getting-started/versions/5.0.0/zip -O tao-getting-started_5.0.0.zip
unzip -u tao-getting-started_5.0.0.zip -d ./tao-getting-started_5.0.0 && cd ./tao-getting-started_5.0.0
- Launch the jupyter notebook using the command below:
jupyter notebook --ip 0.0.0.0 --port 8888 --allow-root --NotebookApp.token=<notebook_token>
This will kick off the jupyter notebook server in the VM. To access this server, navigate to http://<dns_name>:8888/ and, when prompted, enter the <notebook_token> used to start the notebook server. The dns_name here is the Public IPv4 DNS of the VM that you will see under the EC2 dashboard of your respective instance.
I am running iton AWS vm,
I want to train the yolo_v4 model
where can I found the <notebook_token>
3 posts - 2 participants