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)
Rasterize with the least efforts for researchers.

utils3d Rasterize and do image-based 3D transforms with the least efforts for researchers. Based on numpy and OpenGL. It could be helpful when you wan

Ruicheng Wang 8 Dec 15, 2022
Active learning for Mask R-CNN in Detectron2

MaskAL - Active learning for Mask R-CNN in Detectron2 Summary MaskAL is an active learning framework that automatically selects the most-informative i

49 Dec 20, 2022
Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical analysis and state-of-the-art performance.

Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles This project is for the paper: Detecting Errors and Estimating

Jiefeng Chen 13 Nov 21, 2022
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.

Evolution Gym A large-scale benchmark for co-optimizing the design and control of soft robots. As seen in Evolution Gym: A Large-Scale Benchmark for E

121 Dec 14, 2022
Tutorial: Introduction to Graph Machine Learning, with Jupyter notebooks

GraphMLTutorialNLDL22 Tutorial NLDL22: Introduction to Graph Machine Learning, with Jupyter notebooks This tutorial takes place during the conference

UiT Machine Learning Group 3 Jan 10, 2022
Datasets, Transforms and Models specific to Computer Vision

vision Datasets, Transforms and Models specific to Computer Vision Installation First install the nightly version of OneFlow python3 -m pip install on

OneFlow 68 Dec 07, 2022
Optimal Camera Position for a Practical Application of Gaze Estimation on Edge Devices,

Optimal Camera Position for a Practical Application of Gaze Estimation on Edge Devices, Linh Van Ma, Tin Trung Tran, Moongu Jeon, ICAIIC 2022 (The 4th

Linh 11 Oct 10, 2022
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Introduction PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. Key features include: Data structure for

Facebook Research 6.8k Jan 01, 2023
CONetV2: Efficient Auto-Channel Size Optimization for CNNs

CONetV2: Efficient Auto-Channel Size Optimization for CNNs Exciting News! CONetV2: Efficient Auto-Channel Size Optimization for CNNs has been accepted

Mahdi S. Hosseini 3 Dec 13, 2021
U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Xuebin Qin 6.5k Jan 09, 2023
🚗 INGI Dakar 2K21 - Be the first one on the finish line ! 🚗

🚗 INGI Dakar 2K21 - Be the first one on the finish line ! 🚗 This year's first semester Club Info challenge will put you at the head of a car racing

ClubINFO INGI (UCLouvain) 6 Dec 10, 2021
A minimal implementation of face-detection models using flask, gunicorn, nginx, docker, and docker-compose

Face-Detection-flask-gunicorn-nginx-docker This is a simple implementation of dockerized face-detection restful-API implemented with flask, Nginx, and

Pooya-Mohammadi 30 Dec 17, 2022
Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"

NeuralSymbolicRegressionThatScales Pytorch implementation and pretrained models for the paper "Neural Symbolic Regression That Scales", presented at I

35 Nov 25, 2022
Benchmarks for Model-Based Optimization

Design-Bench Design-Bench is a benchmarking framework for solving automatic design problems that involve choosing an input that maximizes a black-box

Brandon Trabucco 43 Dec 20, 2022
Easy genetic ancestry predictions in Python

ezancestry Easily visualize your direct-to-consumer genetics next to 2500+ samples from the 1000 genomes project. Evaluate the performance of a custom

Kevin Arvai 38 Jan 02, 2023
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Bayesian Methods for Hackers Using Python and PyMC The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chap

Cameron Davidson-Pilon 25.1k Jan 02, 2023
《Dual-Resolution Correspondence Network》(NeurIPS 2020)

Dual-Resolution Correspondence Network Dual-Resolution Correspondence Network, NeurIPS 2020 Dependency All dependencies are included in asset/dualrcne

Active Vision Laboratory 45 Nov 21, 2022
BC3407-Group-5-Project - BC3407 Group Project With Python

BC3407-Group-5-Project As the world struggles to contain the ever-changing varia

1 Jan 26, 2022
Stochastic Scene-Aware Motion Prediction

Stochastic Scene-Aware Motion Prediction [Project Page] [Paper] Description This repository contains the training code for MotionNet and GoalNet of SA

Mohamed Hassan 31 Dec 09, 2022