Ebubekir Dogan 's starred repositories
learnopencv
Learn OpenCV : C++ and Python Examples
YOLO-World
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
PythonWindows
Unofficial Python installers for Windows
Human-Activity-Recognition-using-CNN
Convolutional Neural Network for Human Activity Recognition in Tensorflow
HAR-stacked-residual-bidir-LSTMs
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Awesome-Human-Activity-Recognition
An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.
Exercise-Correction
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises
A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.
Deep-Learning-Fitness-Exercise-Correction-Keras
Machine Learning Course at University of Zürich
Object-Detection-Web-Application-with-Flask-and-YOLOv9
Object Detection Web Application with Flask and YOLOv9
fitness-activity-classification-with-lstms
Web Application for Human Activity (Fitness) Recognition using LSTMs
YOLOv8-Pose-Classification
YOLOv8 Pose classification and repetition counting with the k-NN algorithm
AI-Trainer
This repository presents a set of tools to help you improve your weightlifting form. It does so by analyzing a video of your workout, estimating your pose with a AI model (mediapipe-blazepose) and giving you feedback on your form.
biceps-curl-counter
Biceps Curl Counter python app based on Mediapipe's Human Pose Estimation architecture.
Real-time-Bicep-Curls-Analysis-and-Counting-using-OpenCV-and-MediaPipe-
This real-time biceps curls analysis and counting system demonstrates the practical application of computer vision in fitness, offering users an interactive and informative tool for enhancing their biceps curl exercises and overall workout routines.