Models built with TensorFlow

This repository contains skeleton video classification.

mmWave based action recognition using ROS.

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Фреймворк компьютерного зрения для задач, детекции, сегментации, классификации, идентификации людей, анализа настроений и классификации действий

Human Activity Detection with TensorFlow and Python.

Using two stream architecture to implement a classic action recognition method on UCF101 dataset

An open-source toolbox for action understanding based on PyTorch

Evaluating Taekwondo Moves - This system aims to recognize and evaluate 10 foundational taekwondo moves

FrVD: French Video Description dataset

3D Convolutional Neural Networks for Human Action Recognition

Multimodal version of SlowFast (Vision + Audio inputs)

A curated list of action recognition and related area resources

Deep learning algorithm to sort images in time dimension. Images belong to same activity and are corresponding frames in a short duration of time

Hand Action recognition and classification

Conclusion of undergraduate research in NIP-UPD

This project allows to train and test sign language data to identify numbers, the alphabet and poses with the help of opencv and mediapipe

A practical implementation of sign language estimation using an LSTM NN built on TF Keras.

Sign2Sound is dedicated to revolutionizing communication for non-verbal individuals by seamlessly translating sign language gestures into understandable speech in real-time. By bridging the gap between sign language users and those unfamiliar with it, Sign2Sound promotes inclusivity and accessibility, ultimately enriching quality of life for all.

Using 2D and 3D ConvNet