Computer Vision: Face Recognition

An python application that can recognize the faces of our classmates and give a small physical description:

File description:

• face-recognition.ipynb - main file with code for recognizing people's faces and training on a dataset
• master-file.ipynb - lite version of the file with code for recognizing people's faces, without training
• api-tester.ipynb - file for tests of various APIs from the list
• /models - a model for the dlib library that recognizes the position of face elements
• /weights - pre-trained model taken from http://vintage.winklerbros.net/facescrub.html, trained for more than 100,000 pictures of 530 people.
• /images - storage of photos of all people from the dataset
• align.py, model.py, utils.py - some libs
• finalized_model.sav - a manually trained face model supplemented by student faces. Based on the dataset from the folder /weights
• finalized_encoder.sav - saved encoder of our images

How to install:

• 0a. In case you do not have a webcam on your Pc: Install Epoccam software on your smartphone and connect to PC
• 0b. In case you do have webcam, programm will use it instead

1. Install Python 3
2. Install Jupiter Notebook from jupyter.org
3. In terminal run:

pip install cmake
pip install dlib
pip install Keras
pip install -r requirements.txt

How to run:

1. Start Jupyter, it will automatically open in brower
2. Upload your dataset with person photos to ../images/%person-name%/ for all people you have
3. In Jupyter open face-recognition.ipynb file
4. Then restart Kernel by: Kernel -> Restart Kernel and Run All Cells
5. Enjoy!