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    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

    srianant srianant Last update: Mar 14, 2024

    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:

    Tags:

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    srianant

    srianant
    GitHub Repository https://github.com/srianant
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