A python bot to move your mouse every few seconds to appear active on Skype, Teams or Zoom as you go AFK. 🐭 ðŸĪ–

Overview

PyMouseBot

Python Mouse Bot!

If you're from GT and annoyed with SGVPN idle timeouts while working on development laptop, You might find this useful.

A python cli bot to move your mouse every few seconds to appear active on Skype, Teams or Zoom as you go AFK. 🐭 ðŸĪ–

Core Features

  • ðŸ’ŧ Cross platform. Both Windows and MacOS. Automagically detects what OS you're running on!
  • 🕒 Just run the program together with time you want the bot to stop at in HH:MM:SS 24 hr format!
  • ðŸŠķ Ultra light! No compiled binaries. Just a cli app you can use via python.

Pre-requisites

How to use

  • To add instructions

On Mac

git clone https://github.com/brootware/PyMouseBot.git && cd PyMouseBot

Activate virtual environment and install requirements.

alias python=python3
python -m pip install --user virtualenv
python -m venv bottybot
source ./bottybot/bin/activate
pip install -r requirements.txt

Run as below

python mousebot.py 23:00:00

OR if you want to run as environment variable, run this below.

pip install .
pip install -r requirements
pymousebot 23:00:00

On Windows

git clone https://github.com/brootware/PyMouseBot.git && cd PyMouseBot

Activate virtual environment and install requirements.

python -m venv bottybot
bottybot\Scripts\activate
pip install -r requirements.txt

Run as below

python .\mousebot.py 23:00:00

OR if you want to run as environment variable, run this below.

pip install .
pip install -r requirements
pymousebot 23:00:00

Change time interval of the movement

python mousebot.py 23:00:00 -i 5

OR

pymousebot 23:00:00 -i 5

Troubleshoot

import tkinter might fail on some mac. Be sure to install python-tk via brew.

brew install python-tk
Owner
Oaker Min
Cloud Systems Engineer, Cyber Security, DevOps / Site Reliability Engineering.
Oaker Min
This code is a toolbox that uses Torch library for training and evaluating the ERFNet architecture for semantic segmentation.

ERFNet This code is a toolbox that uses Torch library for training and evaluating the ERFNet architecture for semantic segmentation. NEW!! New PyTorch

Edu 104 Jan 05, 2023
Understanding the Generalization Benefit of Model Invariance from a Data Perspective

Understanding the Generalization Benefit of Model Invariance from a Data Perspective This is the code for our NeurIPS2021 paper "Understanding the Gen

1 Jan 15, 2022
Spatial color quantization in Rust

rscolorq Rust port of Derrick Coetzee's scolorq, based on the 1998 paper "On spatial quantization of color images" by Jan Puzicha, Markus Held, Jens K

Collyn O'Kane 37 Dec 22, 2022
Project repo for the paper SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition

SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition (BMVC 2021) Project repo for the paper SILT: Self-supervised Lighting Trans

6 Dec 04, 2022
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

Near-Duplicate Video Retrieval with Deep Metric Learning This repository contains the Tensorflow implementation of the paper Near-Duplicate Video Retr

Liming Jiang 238 Nov 25, 2022
KwaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%)

KuaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%) KuaiRec is a real-world dataset collected from the recommendation log

Chongming GAO (éŦ˜åī‡é“­) 70 Dec 28, 2022
The datasets and code of ACL 2021 paper "Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions".

Aspect-Category-Opinion-Sentiment (ACOS) Quadruple Extraction This repo contains the data sets and source code of our paper: Aspect-Category-Opinion-S

NUSTM 144 Jan 02, 2023
OneFlow is a performance-centered and open-source deep learning framework.

OneFlow OneFlow is a performance-centered and open-source deep learning framework. Latest News Version 0.5.0 is out! First class support for eager exe

OneFlow 4.2k Jan 07, 2023
SMCA replication There are no extra compiled components in SMCA DETR and package dependencies are minimal

Usage There are no extra compiled components in SMCA DETR and package dependencies are minimal, so the code is very simple to use. We provide instruct

22 May 06, 2022
GrabGpu_py: a scripts for grab gpu when gpu is free

GrabGpu_py a scripts for grab gpu when gpu is free. WaitCondition: gpu_memory

tianyuluan 3 Jun 18, 2022
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning By Zhenda Xie*, Yutong Lin*, Zheng Zhang, Yue Ca

Zhenda Xie 293 Dec 20, 2022
pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning

ABC:Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning, NeurIPS 2021 pytorch implementation of ABC : Auxiliary Balanced Class

Hyuck Lee 25 Dec 22, 2022
Python KNN model: Predicting a probability of getting a work visa. Tableau: Non-immigrant visas over the years.

The value of international students to the United States. Probability of getting a non-immigrant visa. Project timeline: Jan 2021 - April 2021 Project

Zinaida Dvoskina 2 Nov 21, 2021
Official code for Next Check-ins Prediction via History and Friendship on Location-Based Social Networks (MDM 2018)

MUC Next Check-ins Prediction via History and Friendship on Location-Based Social Networks (MDM 2018) Performance Details for Accuracy: | Dataset

Yijun Su 3 Oct 09, 2022
DeiT: Data-efficient Image Transformers

DeiT: Data-efficient Image Transformers This repository contains PyTorch evaluation code, training code and pretrained models for DeiT (Data-Efficient

Facebook Research 3.2k Jan 06, 2023
Deep Learning GPU Training System

DIGITS DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models. The currently supported frameworks are: Caffe, To

NVIDIA Corporation 4.1k Jan 03, 2023
Optimizing Deeper Transformers on Small Datasets

DT-Fixup Optimizing Deeper Transformers on Small Datasets Paper published in ACL 2021: arXiv Detailed instructions to replicate our results in the pap

16 Nov 14, 2022
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging, ICCV2021 [PyTorch Code]

Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging, ICCV2021 [PyTorch Code]

Jian Zhang 20 Oct 24, 2022
Official repository for "On Improving Adversarial Transferability of Vision Transformers" (2021)

Improving-Adversarial-Transferability-of-Vision-Transformers Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Khan, Fatih Porikli arxiv link A

Muzammal Naseer 47 Dec 02, 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