A script designed to classify faces of "humans" using any of the following algorithms
- LBPH Model
- Eigen Face Model
- Fisher Model
Database of individual's face should be stored inside the folder Database/[Person's Name]. Test subject faces should be stored inside the folder Testing.
Once everything is set, install the required dependencies using the command
pip install -r requirements.txt
Then, to run the script, execute index.py. Using the command
python index.py
You should get the list of person's name, from the images of individuals which are stored inside the Testing folder and the confidence level of the algorithm, in the output of index.py.
In this feature, script connects to your webcam and tries to recognize all the faces visible by matching it with the ones in the database. It shows the candidate name and algorithm's confidence level, inside the video stream.
To use this feature, execute live.py. Using the command
python live.py
In order to make detector to work, it needs to be trained on the images of different candidates that are to be classified inside Database Folder. To collect these data simply execute recorder.py. Using the commad
python record.py
Yes, each time you update the database folder, in order to see the effects you need to train model.yml with the new data. In order to do that, use the command
python train_model.py