Drowsy driver detection using Keras and convolution neural networks.
Eye dataset(Not available anymore): http://parnec.nuaa.edu.cn/xtan/data/datasets/dataset_B_Eye_Images.rar
Yawn dataset: http://www.discover.uottawa.ca/images/files/external/YawDD_Dataset/YawDD.rar
Credits: Eye dataset,Yawn dataset
Note:
Pickle files contain the preprocessed datasets for closed eyes, open eyes and yawns,
the pickled files are- closed_eyes.pickle, open_eyes.pickle, yawn_mouths.pickle.
eyePreprocess.py and yawnPreprocess.py : Preprocess the data by converting the images to grayscale and dividing them into training and testing sets
eyesCNN.py and yawnCNN.py : Train a CNN based on the training data.
Code_archive/eyeDetect.py and Code_archive/faceDetect.py : Simple eyes and face detection code use a 16-layer cascade instead of the traditional one since the original one was not able to detect faces properly.
