AI-Fitness-Tracker

We have build a AI based Fitness Tracker using OpenCV and Python. It can detect various body postures like bicep curls, squats and so on. We have used the pose estimation to find the correct points and using these points we'll get the desire angles. This tracker is going to track different fitness activities and render the results to the screen.

First we need to install and import all the necessary libraries such as numpy, mediapipe and opencv. Then starting with capturing video from webcam and setting up mediapipe instance.

Extracting the coordinates and joining them. Then it will find the angle between three defined coordinates.

At last we've applied the logic of curls counting, thereby by diplaying the counts on the screen.

So this is how it works. This AI based Fitness Tracker can guide an individual to maintain a good body posture. Thank for having us & providing this platform i.e. Hackathon Dotlash 5.O. We had a wonderful experience making this project and it was very helpful to enchance our skills.

AI-Fitness-Tracker - AI Fitness Tracker With Python

Related tags

Overview

AI-Fitness-Tracker

Owner

Sharvari Mangale

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

Implementation of a protein autoregressive language model, but with autoregressive infilling objective (editing subsequences capability)

3D Human Pose Machines with Self-supervised Learning

IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

CNNs for Sentence Classification in PyTorch

Uses OpenCV and Python Code to detect a face on the screen

Libtorch yolov3 deepsort

A semantic segmentation toolbox based on PyTorch

AI Summer's complete catalog of articles

Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

Neighborhood Reconstructing Autoencoders

ManipNet: Neural Manipulation Synthesis with a Hand-Object Spatial Representation - SIGGRAPH 2021

Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.

A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.

Augmented CLIP - Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.

Official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.