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: