Facial-Kepoints-detection

1. Introduction :

tha main goal of this projects is to design and implement a facial keypoints detector. this is useful for many application that requires facial detection and recognition espacially for safety applications such as : detecting the driver's hands / eyes in order to detect if he is distracted or not ... and many other application .

Throughout the provided notebook we mixed a set of Computer vision techniques such as :

• Haar Cascade Classifier.
• Deep Convolutional neural networks.
• A set of image manipulation and pre processing techniques .

All the steps and the underlying logic is heavily described in the respective notebooks .

The notebooks are ordered so the first one does the first step in the computer vision tasks pipeline .

2. Needed tools :

In order to reproduce this work here are the used tools:

2.1 Libraries :

• cv2 ( Open CV)
• Pytorch 0.4.1
• The other libraries are part of the Python 3 default installation .

2.2 tools :

• The data: For the data in the notebooks you will find specified cells which download the dataset and place in the right structure.
• The computing tools : the designed neural network is not so deep so the trainning can be done without a GPU in a reasonable amount of time however alternatives like AWS/ AppEngine can be used as well .