These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
First make sure you have installed the following version of Python:
python 3.5.x
After that, you should download a copy of the project to start running it. To do so, go to your git bash and do
git clone https://github.com/vot4me/face_recognition.git
Then go to the cloned folder and you are ready!
cd face_recognition
Then install the needed resources:
pip install tensorflow
pip install numpy
pip install scipy
pip install pillow
pip install scikit-learn
pip install opencv-python
To do this easily just run:
pip install -r requirements.txt
To run de project you need to save some images in the train_img folder. To save your images use the following structure
Person1 name
|-photo1.jpg
|-photo2.jpg
...
Person2 name
|-photo1.jpg
|-photo2.jpg
...
...
To do that easily, just run the faces.py file, insert your name and the program will save some pictures of you using your camera.
python faces.py
After that, the only thing you need to do is to start running the project. The first step is to preprocess the data, so:
python data_preprocess.py
Then, you'll see a new folder called pre_img, inside there, you'll find all the processed images (just the faces of each image). The next step is to train the model, so:
python train_main.py
Finally, you can test the results running any of the following implementations:
(Face recognition with the camera)
python identify_face_camera.py
(Face recognition with an image, to make this work you need to add a abc.jpg image)
python identify_face_image.py