Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control.

Last update: Jan 17, 2022

Overview

Pose Detection

Project Description:

Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control.

Requirements:

Following modules need to be installed for it to work properly:

Mediapipe
Cv2

OpenCV:

OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human.

It can be installed using "pip install opencv-python"

Mediapipe:

MediaPipe is a framework for building multimodal (eg. video, audio, any time series data), cross platform (i.e Android, iOS, web, edge devices) applied ML pipelines.

It can be installed using "pip install mediapipe"

Contact Me:

Owner

Hassan Shahzad

I am a passionate Software Developer who is always aspiring to learn more. Practice makes perfect and I am always working on improving my skills and myself.

GitHub Repository

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Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control.

Related tags

Overview

Pose Detection

Project Description:

Requirements:

OpenCV:

Mediapipe:

Contact Me:

Owner

Hassan Shahzad

Contenido del curso Bases de datos del DCC PUC versión 2021-2

Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement

[NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”,

Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

Code and data for the paper "Hearing What You Cannot See"

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Code of our paper "Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning"

Code to accompany the paper "Finding Bipartite Components in Hypergraphs", which is published in NeurIPS'21.

TensorFlow ROCm port

Code release for "MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound"

Powerful and efficient Computer Vision Annotation Tool (CVAT)

The fastai deep learning library

Simple machine learning library / 簡單易用的機器學習套件

This is an example of object detection on Micro bacterium tuberculosis using Mask-RCNN

Signals-backend - A suite of card games written in Python

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

an Evolutionary Algorithm assisted GAN

RTSeg: Real-time Semantic Segmentation Comparative Study

An implementation of the efficient attention module.

This repository contains the source code for the paper Tutorial on amortized optimization for learning to optimize over continuous domains by Brandon Amos