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Gesture, Emotions, Posture and Face Recognition using OpenPose/DLIB

Purpose of this work is to demonstrate few state of art computer vision applications using OpenPose/DLIB libraries.

Acknowledgements:

This github repository work is greatly inspired and have used code, concepts presented in the following github repositories:

  • DLIB: Modern C++ toolkit for computer vision and other machine learning.
  • Kerasify : Small library for running Keras models from a C++ application.
  • OPENCV: Open Source Computer Vision Library.
  • OPENPOSE: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library.

Thanks to Dr.Michael Rinehart, Chief Scientist at Elastica for his mentorship and guidance through the project.

Operating systems (supported):

Requirements:

  • NVIDIA graphics card with at least 1.6 GB available (the nvidia-smi command checks the available GPU memory in Ubuntu).
  • At least 2 GB of free RAM memory.
  • Highly recommended: cuDNN and a CPU with at least 8 cores.

Install, Compile and Run:

Design:

Demo: