CNN based head pose estimator

About

This is a python/mxnet implementation of a very simple CNN that predicts the head pose

num of params < 100K

CNN model:

conv1 3*3*32,(2,2),relu

conv2 3*3*32,(2,2),relu

conv3 3*3*64,(2,2),relu

conv4 3*3*64,(2,2),relu

fc1   128,relu

fc2   2,tanh

dataset:

1.http://www-prima.inrialpes.fr/perso/Gourier/Faces/HPDatabase.html

2.[Biwi Kinect Head Pose Database](http://data.vision.ee.ethz.ch/cvl/gfanelli/kinect_head_pose_db.tgz)

Requirement

-opencv

only tested on 2.4.9.1

-mxnet

only tested on 0.7.0

-mtcnn

I use https://github.com/pangyupo/mxnet_mtcnn_face_detection to do face cropping and alignment

padding = 0.27,desired_size = 64

Test

run:

python main.py

examples from validation set:(green as label,red as prediction)