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项目作者： jacr2006

项目描述 ：
trainning and deploy of Drowsiness detection model on Android app.
高级语言： Jupyter Notebook
项目地址: git://github.com/jacr2006/drowsiness-detection.git
创建时间： 2019-12-18T23:59:24Z
项目社区：https://github.com/jacr2006/drowsiness-detection
开源协议：
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Drowsiness detection using landamrk face

this repositorie shows a regression for detect landmark face using a Convolution Neural Network. Helen dataset is used for train a CNN. HoG model is used for face detection. Model is deployed on PC with Python and on Android app.

Step 1: this notebook plots some images and landmark face.

Step 2: this notebook scales the images (and landmarks) and converts to gray scale.

Step 3: this notebook normalizes the images, trains a CNN using Keras, and saves a TensorFlow model.

Step 4: this notebook tests regression model. Input to model comes from image file.

Step 5: this Python script tests the model on PC with Python. Input to model comes from PC webcam.
alt test

Step 6: this notebook transforms H5 TensorFow model to TensorFlow Lite, this model is deployed on Android app.
alt test