It creates a basic file structure with one python file which you can use to start a new project on Machine Learning/Deep Learning
- It installs the tree package for linux for showing the directory structure
- __init__.py: This file can we used as the application start point.
- api: This directory can be used to generate rest api endpoints for the project.
- assets: This directory is used to put on the application assets required like image dataset.
- data: This directory can be used for storing the dataset csv's.
- db: Here in this directory can be used as the database point where you can create database object.
- lib: For developing and using the libraries and external source code application needs.
- releases: Put your final release packages there like pickel objects to transfer trained models.
- services: Here I like to create all the non associative services like mailer and somethng else.
- Clone the repo.
- Provide execution rights to the script.
- You're ready to go
> blink.sh <project_name>
> for ex: blink.sh my_super_cool_project
> Then press enter