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Common tools for Zalo AILab

Project description

# Zalo AI Lab tools

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Pip package tools for Deep learning task

## Installation

` pip install ailabtools `

## Develop instruction

### Installation for developing

  1. Clone project to folder ailabtools

  2. Go to ailabtools folder, install using pip:

    ` pip install . `

    for editable package (for development process), run:

    ` pip install --editable . `

  3. Check if package installed succesfully by running this python code:

    ` from ailabtools import common common.check() `

    right output:

    ` >>> from ailabtools import common >>> common.check() AILab Server Check OK `

    make sure that the output is AILab Server Check OK without any problems.

  4. Optional, check information of package:

    ` pip show ailabtools `

### Contribution process

  • Deployment branch: master.

  • Development branch: develop.

  • Contribution process steps:
    1. Checkout new branch.

    2. Add own module.

    3. Create pull request to branch develop.

    4. Waiting for pull request review.

    5. Pull request merged, ready for beta deployment.

    6. Stable, ready for master merge for offical deployment.

### Package modified

Checkout setup.py for package information.

### Add module

Add module in ailabtools folder.

## Documents

Check wiki pages

Project details


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