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https://github.com/miladsade96/asfr
Attendance system using facial recognition
https://github.com/miladsade96/asfr
attendance deep-learning face-recognition facial-recognition machine-learning neural-network numpy opencv opencv-python python python3
Last synced: about 1 month ago
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Attendance system using facial recognition
- Host: GitHub
- URL: https://github.com/miladsade96/asfr
- Owner: miladsade96
- License: mit
- Created: 2020-11-11T15:52:47.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-07-01T16:35:06.000Z (over 3 years ago)
- Last Synced: 2024-09-08T22:27:24.256Z (2 months ago)
- Topics: attendance, deep-learning, face-recognition, facial-recognition, machine-learning, neural-network, numpy, opencv, opencv-python, python, python3
- Language: Python
- Homepage:
- Size: 2.1 MB
- Stars: 7
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://www.codefactor.io/repository/github/everlookneversee/asfr)
## Attendance system using facial recognition
This project is built using python and javascript programming languages
([python][python] for backend and [javascript][javascript] for frontend and gui).
We used [Eel][eel] package to make connections between frontend and backend.
## Authors
Milad Sadeghi DM - initial work - [@EverLookNeverSee][github-profile]
See also the list of [contributors][contributors] who participated in this project.
## Requirements
For more details, see [requirements.txt](requirements.txt)
## Getting started and running
First of all you should clone the project on your local machine:
```shell
git clone https://github.com/EverLookNeverSee/ASFR.git
```
navigate to project root directory:
```shell
cd ASFR/
```
install all dependencies using python package manager:
```shell
python -m pip install -r requirements.txt
```
create a directory named **train_images** and put all your images in it:
```shell
mkdir train_images
```
navigate to asfr subdirectory:
```shell
cd asfr/
```
and then run the program using command below:
```shell
python main.py
```
command above will fire up the program and its gui will appear on the screen.
In the next step you should **load** , **encode** and **save** your encoding values; to do so
press **load**, **encode** and **save** buttons in order.
Congratulations, now you can press **start** button and program starts the recognition process.
**Note:** the **stop** button stops the recognition process and if you press it twice, it resets video capture window.
## License
This project is licensed under the **MIT License** - see the [LICENSE](LICENSE) file for more details.
[github-profile]: https://github.com/EverLookNeverSee
[python]: https://python.org
[javascript]: https://javascript.com
[eel]: https://github.com/ChrisKnott/Eel
[eel-pypi]: https://pypi.org/project/Eel/
[cmake-pypi]: https://pypi.org/project/cmake/
[numpy-pypi]: https://pypi.org/project/numpy/
[pytest-pypi]: https://pypi.org/project/pytest/
[khayyam-pypi]: https://pypi.org/project/Khayyam/
[setuptools-pypi]: https://pypi.org/project/setuptools/
[opencv-python-pypi]: https://pypi.org/project/opencv-python/
[face-recognition-pypi]: https://pypi.org/project/face-recognition/
[contributors]: https://github.com/EverLookNeverSee/ASFR/graphs/contributors