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

RuDOLPH: One Hyper-Modal Transformer can be creative as DALL-E and smart as CLIP

Repository for Multimodal AutoML Benchmark

CUAD

Towards the D-Optimal Online Experiment Design for Recommender Selection (KDD 2021)

Neural Style and MSG-Net

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

Official implementation of DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations in TensorFlow 2

[CVPR 2021] Pytorch implementation of Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling" (ICCV 2021)

FcaNet: Frequency Channel Attention Networks

Download files from DSpace systems (because for some reason DSpace won't let you)

CVPR '21: In the light of feature distributions: Moment matching for Neural Style Transfer

Learning Features with Parameter-Free Layers (ICLR 2022)

Matplotlib Image labeller for classifying images

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

An implementation for the loss function proposed in Decoupled Contrastive Loss paper.

Optimized Gillespie algorithm for simulating Stochastic sPAtial models of Cancer Evolution (OG-SPACE)

The MATH Dataset