Pose Detection and Machine Learning for real-time body posture analysis during exercise to provide audiovisual feedback on improvement of form.

Last update: Nov 11, 2022

Overview

Posture: Pose Tracking and Machine Learning for prescribing corrective suggestions to improve posture and form while exercising.

This repository contains code made for submission to Atlas Hacks.

Our project is an AI-based Personalised Exercise Feedback Assistant: an algorithm that views your exercise posture in real time and tells what you're getting right, and what you're getting wrong!

Our demo

To run the app, first run pip install -r requirements.txt and then run app_squat.py

Our model

With no available dataset online, we took it upon ourselves to generate data. After collecting hours of labelled videos of people performing Squats in a multitude of correct and incorrect ways, we used each frame of video (at 12fps) as a labeled training example - which got us a training set size of tens of thousands.

Owner

Pratham Mehta

CS '24 @ Georgia Tech

GitHub Repository https://devpost.com/software/posture-w5670m

Some toy examples of score matching algorithms written in PyTorch

toy_gradlogp This repo implements some toy examples of the following score matching algorithms in PyTorch: ssm-vr: sliced score matching with variance

21 Dec 26, 2022

U-Net Implementation: Convolutional Networks for Biomedical Image Segmentation" using the Carvana Image Masking Dataset in PyTorch

U-Net Implementation By Christopher Ley This is my interpretation and implementation of the famous paper "U-Net: Convolutional Networks for Biomedical

1 Jan 06, 2022

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

3D Infomax improves GNNs for Molecular Property Prediction Video | Paper We pre-train GNNs to understand the geometry of molecules given only their 2D

95 Dec 30, 2022

Tensorboard for pytorch (and chainer, mxnet, numpy, ...)

tensorboardX Write TensorBoard events with simple function call. The current release (v2.3) is tested on anaconda3, with PyTorch 1.8.1 / torchvision 0

7.5k Dec 28, 2022

arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.

671 Dec 31, 2022

PRIME: A Few Primitives Can Boost Robustness to Common Corruptions

PRIME: A Few Primitives Can Boost Robustness to Common Corruptions This is the official repository of PRIME, the data agumentation method introduced i

34 Oct 30, 2022

Source Code and data for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching

Description The source code and data for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chin

3 Jun 28, 2022

Implementation of a Transformer using ReLA (Rectified Linear Attention)

ReLA (Rectified Linear Attention) Transformer Implementation of a Transformer using ReLA (Rectified Linear Attention). It will also contain an attempt

49 Oct 14, 2022

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CAC) Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Li

137 Dec 14, 2022

Building a real-time environment using webcam frame division in OpenCV and classify cropped images using a fine-tuned vision transformers on hybryd datasets samples for facial emotion recognition.

Visual Transformer for Facial Emotion Recognition (FER) This project has the aim to build an efficient Visual Transformer for the Facial Emotion Recog

8 Dec 12, 2022

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

HiddenLayer A lightweight library for neural network graphs and training metrics for PyTorch, Tensorflow, and Keras. HiddenLayer is simple, easy to ex

1.7k Dec 31, 2022

This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, built on SECOND.

3D-CVF This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object

97 Dec 20, 2022

Pose Detection and Machine Learning for real-time body posture analysis during exercise to provide audiovisual feedback on improvement of form.

Related tags

Overview

Posture: Pose Tracking and Machine Learning for prescribing corrective suggestions to improve posture and form while exercising.

Our demo

Our model

Owner

Pratham Mehta

Some toy examples of score matching algorithms written in PyTorch

U-Net Implementation: Convolutional Networks for Biomedical Image Segmentation" using the Carvana Image Masking Dataset in PyTorch

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Tensorboard for pytorch (and chainer, mxnet, numpy, ...)

arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.

PRIME: A Few Primitives Can Boost Robustness to Common Corruptions

Source Code and data for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching

Implementation of a Transformer using ReLA (Rectified Linear Attention)

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Building a real-time environment using webcam frame division in OpenCV and classify cropped images using a fine-tuned vision transformers on hybryd datasets samples for facial emotion recognition.

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, built on SECOND.

Pytorch implementation of ICASSP 2022 paper Attention Probe: Vision Transformer Distillation in the Wild

pytorch implementation of openpose including Hand and Body Pose Estimation.

Back to Event Basics: SSL of Image Reconstruction for Event Cameras

ML models implementation practice

Western-3DSlicer-Modules - Point-Set Registrations for Ultrasound Probe Calibrations

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

RealTime Emotion Recognizer for Machine Learning Study Jam's demo