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.

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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

Sleep staging from ECG, assisted with EEG

Supervised 3D Pre-training on Large-scale 2D Natural Image Datasets for 3D Medical Image Analysis

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[CVPR 2021 Oral] Variational Relational Point Completion Network

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Addition of pseudotorsion caclulation eta, theta, eta', and theta' to barnaba package

Contains a bunch of different python programm tasks

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An implementation of the [Hierarchical (Sig-Wasserstein) GAN] algorithm for large dimensional Time Series Generation

A light weight data augmentation tool for training CNNs and Viola Jones detectors

Cards Against Humanity AI

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A novel benchmark dataset for Monocular Layout prediction

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The official TensorFlow implementation of the paper Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition

Code accompanying paper: Meta-Learning to Improve Pre-Training

CVPR 2021 Official Pytorch Code for UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training