Live Hand Tracking Using Python

Overview

Live-Hand-Tracking-Using-Python

Project Description:

In this project, we will be tracking our hand(s) and its features using mediapipe. This project can be further used to count number of fingers, calculate distances or AI Virtual Mouse or Keyboard.

Add Videos

Requirements:

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

  • OpenCV
  • Mediapipe

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"

Important Note:

I faced alot of dependency issues throughout this project. Some of the issues and their solutions are as follows:

  • autopy not installing: This is because autopy currently doesn't support Python versions above 3.8
  • webcam not opening: It was a bug in mediapipe and was fixed in latest python versions

Hence, inorder for the project to run smoothly, you need to degrade the Python version to 3.8

How to Degrade Python Version:

Follow the following steps:

  • Uninstall Python from add/remove programs
  • Go to AppData and remove any python folder you see.
  • Download Python 3.8 from this link : Python 3.8
  • Install it.
  • Open command promt and run "pip" inorder to confirm installation.
  • Your Python version has been degraded :)

Contact Me:

Website Gmail GitHub LinkedIn Instagram

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.
Hassan Shahzad
Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)

VIN: Value Iteration Networks A quick thank you A few others have released amazing related work which helped inspire and improve my own implementation

Kent Sommer 297 Dec 26, 2022
[CVPR2021] Invertible Image Signal Processing

Invertible Image Signal Processing This repository includes official codes for "Invertible Image Signal Processing (CVPR2021)". Figure: Our framework

Yazhou XING 281 Dec 31, 2022
Wandb-predictions - WANDB Predictions With Python

WANDB API CI/CD Below we capture the CI/CD scenarios that we would expect with o

Anish Shah 6 Oct 07, 2022
A small library of 3D related utilities used in my research.

utils3D A small library of 3D related utilities used in my research. Installation Install via GitHub pip install git+https://github.com/Steve-Tod/util

Zhenyu Jiang 8 May 20, 2022
A PaddlePaddle version of Neural Renderer, refer to its PyTorch version

Neural 3D Mesh Renderer in PadddlePaddle A PaddlePaddle version of Neural Renderer, refer to its PyTorch version Install Run: pip install neural-rende

AgentMaker 13 Jul 12, 2022
An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

Retina Blood Vessels Segmentation This is an implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional

Srijarko Roy 23 Aug 20, 2022
Experiments with Fourier layers on simulation data.

Factorized Fourier Neural Operators This repository contains the code to reproduce the results in our NeurIPS 2021 ML4PS workshop paper, Factorized Fo

Alasdair Tran 57 Dec 25, 2022
GluonMM is a library of transformer models for computer vision and multi-modality research

GluonMM is a library of transformer models for computer vision and multi-modality research. It contains reference implementations of widely adopted baseline models and also research work from Amazon

42 Dec 02, 2022
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU

WarpDrive is a flexible, lightweight, and easy-to-use open-source reinforcement learning (RL) framework that implements end-to-end multi-agent RL on a single GPU (Graphics Processing Unit).

Salesforce 334 Jan 06, 2023
In-place Parallel Super Scalar Samplesort (IPS⁴o)

In-place Parallel Super Scalar Samplesort (IPS⁴o) This is the implementation of the algorithm IPS⁴o presented in the paper Engineering In-place (Share

82 Dec 22, 2022
Official implementation of the Implicit Behavioral Cloning (IBC) algorithm

Implicit Behavioral Cloning This codebase contains the official implementation of the Implicit Behavioral Cloning (IBC) algorithm from our paper: Impl

Google Research 210 Dec 09, 2022
A baseline code for VSPW

A baseline code for VSPW Preparation Download VSPW dataset The VSPW dataset with extracted frames and masks is available here.

28 Aug 22, 2022
Pathdreamer: A World Model for Indoor Navigation

Pathdreamer: A World Model for Indoor Navigation This repository hosts the open source code for Pathdreamer, to be presented at ICCV 2021. Paper | Pro

Google Research 122 Jan 04, 2023
Cortex-compatible model server for Python and TensorFlow

Nucleus model server Nucleus is a model server for TensorFlow and generic Python models. It is compatible with Cortex clusters, Kubernetes clusters, a

Cortex Labs 14 Nov 27, 2022
FinEAS: Financial Embedding Analysis of Sentiment 📈

FinEAS: Financial Embedding Analysis of Sentiment 📈 (SentenceBERT for Financial News Sentiment Regression) This repository contains the code for gene

LHF Labs 31 Dec 13, 2022
Deep deconfounded recommender (Deep-Deconf) for paper "Deep causal reasoning for recommendations"

Deep Causal Reasoning for Recommender Systems The codes are associated with the following paper: Deep Causal Reasoning for Recommendations, Yaochen Zh

Yaochen Zhu 22 Oct 15, 2022
JugLab 33 Dec 30, 2022
A quick recipe to learn all about Transformers

Transformers have accelerated the development of new techniques and models for natural language processing (NLP) tasks.

DAIR.AI 772 Dec 31, 2022
Quick program made to generate alpha and delta tables for Hidden Markov Models

HMM_Calc Functions for generating Alpha and Delta tables from a Hidden Markov Model. Parameters: a: Matrix of transition probabilities. a[i][j] = a_{i

Adem Odza 1 Dec 04, 2021
Convolutional 2D Knowledge Graph Embeddings resources

ConvE Convolutional 2D Knowledge Graph Embeddings resources. Paper: Convolutional 2D Knowledge Graph Embeddings Used in the paper, but do not use thes

Tim Dettmers 586 Dec 24, 2022