This is a face detection project using the ORL Database of Faces to obtain the model accuracy, error rate, and the count of face matches/unmatches.
Preview • Building from source • Support •
- Selection Data Train and Data Test
- Random Train and Test Index
- Adjust Features Data Test
Ensure you have Python 3.11.5 and Git installed.
Open a terminal and run the following commands.
- Set everything up.
- Linux/Mac
git clone https://github.com/iamwilldev/FaceDetection-PCA-Manhanttan && cd FaceDetection-PCA-Manhanttan && python -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt
- Windows (Command Prompt)
git clone https://github.com/iamwilldev/FaceDetection-PCA-Manhanttan && cd FaceDetection-PCA-Manhanttan && python -m venv .venv && .venv\Scripts\activate && pip install -r requirements.txt
- You can support the development of FaceDetection-PCA-Manhanttan through donations on GitHub Sponsors.
- You can also leave a star on the github for more weebs to know about it.
- FaceDetection-PCA-Manhanttan is open to pull requests, so if you have ideas for improvements, feel free to contribute!