Soon Youtube video will be available for this.

<aside> 👉🏼

Below article is not well articulated. Sorry for that. When time permits i will write it .The article have nearly all information you need to make a docker image required for Machine Learning and Deep Learning project.

</aside>

1. Docker setup

2. Installing the nvidia-toolkit for docker

3. Setting up the docker storage

Adding port to the docker image

Step1 : create a dcoker file by the name Dockerfile

# In bash : Linux Terminal 
vim Dockerfile

Docker File content : Based on your requirements

For this documentation lets follow the github

https://github.com/LiyaoTang/contrastBoundary

Let’s understand the requirements

As here we have option to implement with pytorch or tensorflow

Pytorch

—> this directory is build on the point-transformer So lets follow the setup provided on the point-transformer github —> https://github.com/POSTECH-CVLab/point-transformer

Dependencies

Also provided