TUTORIAL #8 - FACE RECOGNITION USING TENSORFLOW (dlib, OpenFace, VGG and vggfac)

[TensorFlow]

TUTORIAL #8

* TUTORIAL TITLE *
FACE RECOGNITION USING TENSORFLOW, dlib LIBRARY FROM OPENFACE AND USING VGG AND vggface

* TUTORIAL DESCRIPTION *
OpenFace is a Python and Torch implementation of face recognition with deep neural networks.
OpenFace is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google.
Torch allows the network to be executed on a CPU or with CUDA.
This tutorial is following the adaptation of dlib/OpenFace to TensorFlow.

* TUTORIAL SYLLABUS *
1 - Downloading and installing TensorFlow
2 - Downloading and installing network.h5 and placing into vggface directory
3 - Training
4 - Running

* TRY IT *
https://github.com/AKSHAYUBHAT/TensorFace

[fourough gharbalchi]

Hello, the link which is provided to download network.h5 is not working. I need it very bad. Would someone help me out of this???

[Onofrio Petragallo]

Hello, can you explain me how I can training and running this code?

Which are the step/command for test it on local pc?

Thanks

Onofrio