Virtual hand gesture mouse using a webcam

Overview

NonMouse

GitHub GitHub release (latest by date) zenn

日本語のREADMEはこちら

This is an application that allows you to use your hand itself as a mouse.
The program uses a web camera to recognize your hand and control the mouse cursor.

The video is available on Youtube

スクリーンショット 2021-09-13 午後5 33 21

スクリーンショット 2021-09-13 午後5 33 21

Feature

  • Entirely new mouse: a mouse with a software approach. It recognizes your hand and works as a mouse.
  • NonMouse can be invoked by the global hotkey even when this application is inactive.
  • Works well with typing
  • You can make it look like a touch display, by pointing the web camera at the display.
  • You can use the mouse wherever you want.
  • Just download from the latest release (windows, mac only)

Installation

📁 Run as executable file

Download the zip file that matches your environment from the latest release.

OR

🐍 Run as python

Run the following script.

$ git clone https://github.com/takeyamayuki/NonMouse
$ cd NonMouse
$ pip install -r requirements.txt

If you have trouble installing mediapipe, please visit the official website.

† For mac, you need to add the location where you want to run it, such as Terminal or VScode, to the Security and Privacy Accessibility and Cammera section in System Preferences.

Usage

1. Install a camera

The following three ways of placing the device are assumed.

  • Normal: Place a webcam normally and point it at yourself (or use your laptop's built-in camera)

    Examples of installation methods Point the palm of your hand at the camera
    スクリーンショット 2021-09-13 午後5 33 21
    スクリーンショット 2021-09-13 午後5 33 21 スクリーンショット 2021-09-23 044041
  • Above: Place it above your hand and point it towards your hand.

    An example of installation methods Point the back of your hand at the camera.
    スクリーンショット 2021-09-13 午後5 33 21 スクリーンショット 2021-09-23 044243
  • Behind: Place it behind you and point it at the display.

    An example of installation methods Point the back of your hand at the camera.
    スクリーンショット 2021-09-13 午後5 33 21 スクリーンショット 2021-09-23 044403

2. Run

  • Run the executable as described in the GitHub wiki.

    OR

  • Run the following script from the continuation of the installation.

    For windows, linux(global hotkey function does not work in linux.)

    $ python3 app.py

    For MacOS, you need execute permission.

    $ sudo python3 app.py

3. Settings

When you run the program, You will see a screen similar to the following. On this screen, you can set the camera and sensitivity.

スクリーンショット 2021-12-02 154251

  • Camera
    Select a camera device. If multiple cameras are connected, try them in order, starting with the smallest number.

  • How to place
    Select the location where you placed the camera. Place the camera in one of the following positions: Normal, Above, Behind in [ 📷 Install a Camera].

  • Sensitivity
    Set the sensitivity. If set too high, the mouse cursor will shake slightly.

When you are done with the settings, click continue. The camera image will then be displayed, and you can use NonMouse with the settings you selected.

4. Hand Movements

stop cursor left click right click scroll
aaa aaa aaa aaa

The following hand movements are enabled only when you hold down Alt(Windows), Command(MacOS). You can define your own global hotkeys by rewriting here. You can use this function even if the window is not active.This feature is only available on windows and mac.

  • cursor
    • Mouse cursor: tip of index finger → A blue circle will appear at the tip of your index finger.
    • Stop mouse cursor: Attach the tip of your index finger to the tip of your middle finger. → The blue circle disappears.
  • left click
    • Left click: Attach the fingertips of your thumb to the second joint of your index finger → A yellow circle will appear on the tip of your index finger.
    • Left click release: Release the thumb fingertip and the second joint of the index finger. → The yellow circle disappears.
    • Double click: Left click twice within 0.5 seconds.
  • other
    • Right click: Hold the click state for 1.5 second without moving the cursor. → A red circle will appear at the tip of your index finger.
    • Scroll: Scroll with the index finger with the index finger folded → a black circle will appear.

† Use it with a bright light at hand.
† Keep your hand as straight as possible to the camera.

5. Quit

Press Ctrl+C, when a terminal window is active.
Press close button(Valid only on windows, linux) or Esc key, when an application window is active.

Build

† The built binary files can be downloaded from latest realease.

In app-mac.spec and app-win.spec, change pathex to fit your environment.
Run the following scripts for each OS.

  • windows

    Copy and paste the location obtained by pip show mediapipe into datas, referring to what is written originally.
    Run the following script.

    $ pip show mediapipe
    ...
    Location: c:\users\namik\appdata\local\programs\python\python37\lib\site_packages
    ...
    #Copy and paste into the datas in app-win.spec
    $ pyinstaller app-win.spec
    ... ````
  • mac

    Create a venv environment and perform pip install, because the directory specified in datas is for an assumed venv environment.

    $ python3 -m venv venv
    $ . venv/bin/activate
    (venv)$ pip install -r requirements.txt
    (venv)$ pyinstaller app-mac.spec
Comments
  • error: PyObjC requires macOS to build

    error: PyObjC requires macOS to build

    Hello. When installing requirements on Linux I get this error:

    Collecting pyobjc-core==7.3
      Downloading pyobjc-core-7.3.tar.gz (684 kB)
         ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 684.2/684.2 KB 5.4 MB/s eta 0:00:00
      Preparing metadata (setup.py) ... error
      error: subprocess-exited-with-error
      
      × python setup.py egg_info did not run successfully.
      │ exit code: 1
      ╰─> [2 lines of output]
          running egg_info
          error: PyObjC requires macOS to build
          [end of output]
      
      note: This error originates from a subprocess, and is likely not a problem with pip.
    error: metadata-generation-failed
    
    × Encountered error while generating package metadata.
    ╰─> See above for output.
    
    opened by jbrepogmailcom 2
  • ZeroDivisionErrorでクラッシュする

    ZeroDivisionErrorでクラッシュする

    cfps = int(cap.get(cv2.CAP_PROP_FPS)) でcfpsが1になって if cfps < 30: cap.set(cv2.CAP_PROP_FRAME_WIDTH, cap_width) cap.set(cv2.CAP_PROP_FRAME_HEIGHT, cap_height) cfps = int(cap.get(cv2.CAP_PROP_FPS)) を通してもcfpsが1になり、 ran = int(cfps/10) でranが0になってしまい、ZeroDivisionErrorでクラッシュします。

    環境は以下の通りです PC: MacBook Pro 2020 Intel OS: macOS Monterey カメラ: Mac内蔵Webカメラ Pythonバージョン: 3.9.7

    opened by takpika 2
  • MacOS MontereyでカメラFPSが5Hz程度になる

    MacOS MontereyでカメラFPSが5Hz程度になる

    https://github.com/takeyamayuki/NonMouse/blob/1e7f7bc5e9f52a29196ae631b4cb7e83a910aa27/app.py#L117-L121

    cfps = int(cap.get(cv2.CAP_PROP_FPS))で取得するカメラのFPSが5Hzになってしまい、カーソルが小刻みに揺れてしまう。 これは恐らく、cv2の問題だと思われる。

    opened by takeyamayuki 0
  • How to set screen size?

    How to set screen size?

    Hello the mouse only works on left two thirds of the screen. I gues it has something to do with screen size, my lapto has 1920x1080. Can I reconfigure it somewhere?

    opened by jbrepogmailcom 1
  • カメラや手が傾くと、自分の指先移動量に対するマウス移動量が異なってしまう

    カメラや手が傾くと、自分の指先移動量に対するマウス移動量が異なってしまう

    たとえば、カメラを斜めに取り付けると、カメラに映る指は縦方向に圧縮されたものになり、当然移動量もその分小さくなる。 現在の自分の環境だと手に向けてまっすぐ取り付けられているので問題はないが、初めて使う人にとってはこのアプリケーションを使う上での大きな壁となる。

    「解決策」 まず、基準となる指の関節座標を用意しておく。 その基準となる座標群と現在の座標群を比較して手の傾き具合を求める。 それによって、dx,dy変える

    opened by takeyamayuki 0
Releases(2.6.0)
Super-Fast-Adversarial-Training - A PyTorch Implementation code for developing super fast adversarial training

Super-Fast-Adversarial-Training This is a PyTorch Implementation code for develo

LBK 26 Dec 02, 2022
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)

Exploring Simple 3D Multi-Object Tracking for Autonomous Driving Chenxu Luo, Xiaodong Yang, Alan Yuille Exploring Simple 3D Multi-Object Tracking for

QCraft 141 Nov 21, 2022
Search and filter videos based on objects that appear in them using convolutional neural networks

Thingscoop: Utility for searching and filtering videos based on their content Description Thingscoop is a command-line utility for analyzing videos se

Anastasis Germanidis 354 Dec 04, 2022
Repository containing the PhD Thesis "Formal Verification of Deep Reinforcement Learning Agents"

Getting Started This repository contains the code used for the following publications: Probabilistic Guarantees for Safe Deep Reinforcement Learning (

Edoardo Bacci 5 Aug 31, 2022
A certifiable defense against adversarial examples by training neural networks to be provably robust

DiffAI v3 DiffAI is a system for training neural networks to be provably robust and for proving that they are robust. The system was developed for the

SRI Lab, ETH Zurich 202 Dec 13, 2022
Keras Image Embeddings using Contrastive Loss

Keras-Image-Embeddings-using-Contrastive-Loss Image to Embedding projection in vector space. Implementation in keras and tensorflow for custom data. B

Shravan Anand K 5 Mar 21, 2022
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters (ISBI 2022)

Official code of Retinal Vessel Segmentation with Pixel-wise Adaptive Filters and Consistency Training (ISBI 2022)

anonymous 14 Oct 27, 2022
Metric learning algorithms in Python

metric-learn: Metric Learning in Python metric-learn contains efficient Python implementations of several popular supervised and weakly-supervised met

1.3k Jan 02, 2023
[CVPR 2021] Generative Hierarchical Features from Synthesizing Images

[CVPR 2021] Generative Hierarchical Features from Synthesizing Images

GenForce: May Generative Force Be with You 148 Dec 09, 2022
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Think Bayes 2 by Allen B. Downey The HTML version of this book is here. Think Bayes is an introduction to Bayesian statistics using computational meth

Allen Downey 1.5k Jan 08, 2023
Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

Debabrata Mahapatra 40 Dec 24, 2022
[SDM 2022] Towards Similarity-Aware Time-Series Classification

SimTSC This is the PyTorch implementation of SDM2022 paper Towards Similarity-Aware Time-Series Classification. We propose Similarity-Aware Time-Serie

Daochen Zha 49 Dec 27, 2022
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches [Paper]  [Project Page]  [Interactive Demo]  [Supplementary Material]        Usag

215 Dec 25, 2022
Accepted at ICCV-2021: Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD)

Is it Time to Replace CNNs with Transformers for Medical Images? Accepted at ICCV-2021: Workshop on Computer Vision for Automated Medical Diagnosis (C

Christos Matsoukas 80 Dec 27, 2022
In this project, we develop a face recognize platform based on MTCNN object-detection netcwork and FaceNet self-supervised network.

模式识别大作业——人脸检测与识别平台 本项目是一个简易的人脸检测识别平台,提供了人脸信息录入和人脸识别的功能。前端采用 html+css+js,后端采用 pytorch,

Xuhua Huang 5 Aug 02, 2022
This repo is customed for VisDrone.

Object Detection for VisDrone(无人机航拍图像目标检测) My environment 1、Windows10 (Linux available) 2、tensorflow = 1.12.0 3、python3.6 (anaconda) 4、cv2 5、ensemble

53 Jul 17, 2022
Implementation for Shape from Polarization for Complex Scenes in the Wild

sfp-wild Implementation for Shape from Polarization for Complex Scenes in the Wild project website | paper Code and dataset will be released soon. Int

Chenyang LEI 41 Dec 23, 2022
💡 Type hints for Numpy

Type hints with dynamic checks for Numpy! (❒) Installation pip install nptyping (❒) Usage (❒) NDArray nptyping.NDArray lets you define the shape and

Ramon Hagenaars 377 Dec 28, 2022
EdMIPS: Rethinking Differentiable Search for Mixed-Precision Neural Networks

EdMIPS is an efficient algorithm to search the optimal mixed-precision neural network directly without proxy task on ImageNet given computation budgets. It can be applied to many popular network arch

Zhaowei Cai 47 Dec 30, 2022
CVPR 2021: "The Spatially-Correlative Loss for Various Image Translation Tasks"

Spatially-Correlative Loss arXiv | website We provide the Pytorch implementation of "The Spatially-Correlative Loss for Various Image Translation Task

Chuanxia Zheng 89 Jan 04, 2023