README.md

Almighty-Eye

Python3 and openCV

A facial recognition system. The system is capable of recognizing faces in a live video stream, and to identify pre-trained faces.

Setting up environment with Anaconda

1. Install Anaconda to do this.
2. Create Almighty-eye environment. Run on terminal:
   conda create -n your_env_name python=3.6
3. Activate the environment with:
   conda activate your_env_name
4. Install the necessary libraries. Into the folder of the project, run:
   pip install -r requirements.txt
5. Install openCV through conda command:
   conda install -c conda-forge opencv
6. Install pillow through conda command: conda install -c conda pillow

Create a dataset directory

1. Inside the sys/ directory, create a dataset/ folder.
2. In the dataset/ directory create folders with the name of the person to be identified

Run programq

1. Run in the terminal with the virtual environment activate: python3 main.py
2. In the camera open, press q to exit program

Training a new model model

1. Create a folder inside dataset with the name of the person.
2. Put pictures of her face inside the folder.
3. Run model.py file to training the model.
4. Run main.py to start the recognition *note: we recommend you to get at least 20 images on each dataset

References

1. Image search engines tutorials PyImageSearch.
2. FaceNet: A Unified Embeddings for Face Recognition and Clustering
3. The database used to train the Not Recognized persons allfaces