Yoga - Yoga asana classifier for python

Related tags

Deep Learningyoga
Overview

Yoga Asana Classifier

Description

Hi welcome to my new deep learning project "Yoga Asana Classifier / pose classifier ". This project as the name suggests can predict the yoga pose which you are doing in front of the webcam.
This project comprise of three python scripts namely,
Data Collection
Data Training
And finally Inference script.
As all of the name suggest do there respective work.

For this project I used mediapipe pose detection to detect the human body pose and after that I made model with simple Dense network using keras and trained the model on the data. After that i just ran the inference file to do the prediction.

Requirements

pip install mediapipe
pip install keras
pip install tensorflow
pip install opencv-python
pip install numpy

How to Run?

Adding Data

To add data you have to run python data_collection.py and have to provide the name of asana you want to add.

Training

To train just run python data_training.py to train the model on newly added data.

Running

To Run just run python inference.py and new window will pop up which will be running the predictions.

Video

video link : https://youtu.be/sIRqrwZnuHE

Connect with me

If you have any queries regarding any of the topic I discussed in this video feel free to talk to e using below links:
facebook : https://m.facebook.com/proogramminghub
instagram : @programming_hut
twitter : https://twitter.com/programming_hut
github : https://github.com/Pawandeep-prog
discord : https://discord.gg/G5Cunyg
linkedin : https://www.linkedin.com/in/programminghut
youtube : https://www.youtube.com/c/programminghutofficial
Owner
Programminghut
Always keen to learn new things.
Programminghut
MIM: MIM Installs OpenMMLab Packages

MIM provides a unified API for launching and installing OpenMMLab projects and their extensions, and managing the OpenMMLab model zoo.

OpenMMLab 254 Jan 04, 2023
Pytorch-diffusion - A basic PyTorch implementation of 'Denoising Diffusion Probabilistic Models'

PyTorch implementation of 'Denoising Diffusion Probabilistic Models' This reposi

Arthur Juliani 76 Jan 07, 2023
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance"

Lidar-Segementation An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from

Wangxu1996 135 Jan 06, 2023
Current state of supervised and unsupervised depth completion methods

Awesome Depth Completion Table of Contents About Sparse-to-Dense Depth Completion Current State of Depth Completion Unsupervised VOID Benchmark Superv

224 Dec 28, 2022
The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color

The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color Overview Code and dataset for The World of an Octopus: H

1 Nov 13, 2021
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

Fastapi + MLflow + streamlit Setup env. I hope I covered all. pip install -r requirements.txt Start app Go in the root dir and run these Streamlit str

76 Nov 23, 2022
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features

Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features | paper | Official PyTorch implementation for Mul

48 Dec 28, 2022
Fast sparse deep learning on CPUs

SPARSEDNN **If you want to use this repo, please send me an email: [email pro

Ziheng Wang 44 Nov 30, 2022
The official implementation of paper Siamese Transformer Pyramid Networks for Real-Time UAV Tracking, accepted by WACV22

SiamTPN Introduction This is the official implementation of the SiamTPN (WACV2022). The tracker intergrates pyramid feature network and transformer in

Robotics and Intelligent Systems Control @ NYUAD 28 Nov 25, 2022
Temporal Knowledge Graph Reasoning Triggered by Memories

MTDM Temporal Knowledge Graph Reasoning Triggered by Memories To alleviate the time dependence, we propose a memory-triggered decision-making (MTDM) n

4 Sep 25, 2022
Repository for the Bias Benchmark for QA dataset.

BBQ Repository for the Bias Benchmark for QA dataset. Authors: Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Tho

ML² AT CILVR 18 Nov 18, 2022
Implementation of the paper Scalable Intervention Target Estimation in Linear Models (NeurIPS 2021), and the code to generate simulation results.

Scalable Intervention Target Estimation in Linear Models Implementation of the paper Scalable Intervention Target Estimation in Linear Models (NeurIPS

0 Oct 25, 2021
A library for answering questions using data you cannot see

A library for computing on data you do not own and cannot see PySyft is a Python library for secure and private Deep Learning. PySyft decouples privat

OpenMined 8.5k Jan 02, 2023
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

AutoML for Image Semantic Segmentation Currently this repo contains the only working open-source implementation of Auto-Deeplab which, by the way out-

AI Necromancer 299 Dec 17, 2022
Code for our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".

Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes (CVPR 2021) Project page | Paper | Colab | Colab for Drawing App Rethinking Style

CompVis Heidelberg 153 Jan 04, 2023
The repository includes the code for training cell counting applications. (Keras + Tensorflow)

cell_counting_v2 The repository includes the code for training cell counting applications. (Keras + Tensorflow) Dataset can be downloaded here : http:

Weidi 113 Oct 06, 2022
Binary Stochastic Neurons in PyTorch

Binary Stochastic Neurons in PyTorch http://r2rt.com/binary-stochastic-neurons-in-tensorflow.html https://github.com/pytorch/examples/tree/master/mnis

Onur Kaplan 54 Nov 21, 2022
Simple tools for logging and visualizing, loading and training

TNT TNT is a library providing powerful dataloading, logging and visualization utilities for Python. It is closely integrated with PyTorch and is desi

1.5k Jan 02, 2023
Code for paper "Learning to Reweight Examples for Robust Deep Learning"

learning-to-reweight-examples Code for paper Learning to Reweight Examples for Robust Deep Learning. [arxiv] Environment We tested the code on tensorf

Uber Research 261 Jan 01, 2023
Transfer Learning Shootout for PyTorch's model zoo (torchvision)

pytorch-retraining Transfer Learning shootout for PyTorch's model zoo (torchvision). Load any pretrained model with custom final layer (num_classes) f

Alexander Hirner 169 Jun 29, 2022