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All Projects → srianant → Computer_vision

srianant / Computer_vision

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

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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:

Gesture recognition:

Emotions recognition:

Pose recognition:

DLIB Face recognition:

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].