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 : 9930046@gmail.com

LICENSE

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