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This is a Python3 based project where I have implemented the HOG method for Face detection and with the help of dlib library created an attendance system.

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gdsc-pdeu/Face-Recognition-cum-Attendance

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Face-Recognition-cum-Attendance

Author

Kunal Kumar Sahoo

To install the requirements use the followinng command:
pip/pip3 install -r requirements.txt

If any problems faced during installation of dlib library, refer to this page: https://gist.github.com/ageitgey/629d75c1baac34dfa5ca2a1928a7aeaf

Contribution Guidelines

Are we missing any of your favorite features, which you think you can add to it❓ We invite you to contribute to this project and make it better. To start contributing, follow the below guidelines:

1. Fork this repository.

2. Clone your forked copy of the project.

git clone https://github.com/<your_user_name>/Face-Recognition-cum-Attendance.git

3. Navigate to the project directory 📁 .

cd Face-Recognition-cum-Attendance

4. Add a reference(remote) to the original repository.

git remote add upstream https://github.com/gdsc-pdeu/Face-Recognition-cum-Attendance.git

5. Check the remotes for this repository.

git remote -v

6. 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

7. Create a new branch.

git checkout -b <your_branch_name>

8. Perfom your desired changes to the code base.

9. Track your changes:heavy_check_mark: .

git add .

10. Commit your changes .

git commit -m "enter Necessary message"

11. Push the committed changes in your feature branch to your remote repo.

git push -u origin <your_branch_name>

12. To create a pull request, click on compare and pull requests.

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

14. Click on Create a Pull Request.

15 Voila!! You have made a PR to the Face-Recognition-cum-Attendance . Wait for your submission to be accepted and your PR to be merged.

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This is a Python3 based project where I have implemented the HOG method for Face detection and with the help of dlib library created an attendance system.

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