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Intermediate Track For Python Image Classification Library

Information

This is a Python package for automatic Image Classification. Anyone can use this code for their own purpose. If you are interested in contributing to make this project then please follow code-Style and Contribution steps.

Installation

  • Clone this repository
git clone https://github.com/Google-Developer-Student-Club-RAIT/Beginner_Track-Python_ImageClassification_Library.git
  • Create and Activate conda environment
conda create -n packaging

conda activate packaging
  • Install required packages
pip install -r requirements.txt

Steps to contribute

  • Fork this repo.

  • Clone your forked copy of the project.

git clone https://github.com/Google-Developer-Student-Club-RAIT/Beginner_Track-Python_ImageClassification_Library.git
  • Navigate to the project directory :file_folder
cd Beginner_Track-Python_ImageClassification_Library
  • Add a reference(remote) to the original repository.
git remote add upstream https://github.com/Google-Developer-Student-Club-RAIT/Beginner_Track-Python_ImageClassification_Library.git
  • Check the remotes for this repository.
git remote -v
  • Always take a pull from the upstream repository to your master branch to keep it at par with the main project(updated repository).
git pull upstream main
  • Create a new branch.
git checkout -b <your_branch_name>
  • Perform your desired changes to the code base.
  • Track your changes:heavy_check_mark:
git add .
  • Commit your changes.
git commit -m "Relevant message"
  • Push the committed changes in your feature branch to your remote repo.
git push -u origin <your_branch_name>

  • To create a pull request, click on compare and pull requests. Please ensure you compare your feature branch to the desired branch of the repository you are supposed to make a PR to.

  • Add appropriate title and description to your pull request explaining your changes and efforts done.

  • Click on Create Pull Request.

  • Congratulations! You have made a PR. Sit back patiently and relax while your PR is reviewed.

Topics to cover

Programming Languages

  • Python 3.7
  • Python OOPS concepts

Modules and Frameworks

  • Pandas
  • Numpy
  • Flask

Deep Learning Frameworks and Methods

  • TensorFlow
  • Image Classification Models

Python packaging

  • Basic package
  • Uploading to PyPi

Congrats !!! You have your first Python package.

Contributors

Contact

Maintainer : [email protected]

LICENSE

Copyright (c) GDSC Rait. All rights reserved. Licensed under the MIT License