This is a Python facial recognition, use Opencv and numpy to collect data, use it but read the instructions first.
- It reads your face by taking multiple photos with Opencv technology and collects all the data in one .npy file to use for facial recognition.
- All in a single file for each person.
- You can save the data of thousands of people.
- Easy implementation to other projects.
Here you will find out the technologies used:
- Python - All code on python!
- Opencv - Awesome open library, and powerful.
- Numpy - To save data in amazing ways and with good practices.
- Git - The whole Project uses git for version control.
There are few technologies but I think they are necessary for a great solution.
You will need python 3.8.x (open a virtual environment as good practice and install opencv and numpy).
pip install opencv-pythonpip install numpyWhen you have the dependencies installed, remember to put your webcam focusing on your face and in a bright place with no other people.
- Run face-data.py - This begins to analyze your face, you will see numbers printing on the screen, recommended that you leave it up to 40, when you think it is okay press Q.
- Verify on the folder face_dataset have a .npy file with the name you put on face_data.py.
- Run face_recognition.py, A box will appear with the name of the person who detects.
Want to contribute? Great!
- Fork the project and send a pull request.
- If you have a lot of good ideas and want contibute too much. Send me a dm on twitter of add you on the project.
- Final note: I will create a post in .DEV explaining the whole project.
MIT