Welcome to NetHyTech-MCV, the cutting-edge Python package that harnesses the power of neural networks and computer vision to control your computer's mouse with hand gestures. Experience the future today with NetHyTech-MCV!
Install NetHyTech-MCV with a single command using pip:
pip install NetHyTech-MCV
NetHyTech-MCV utilizes state-of-the-art machine learning algorithms to recognize complex hand gestures with high accuracy.
Control your computer's mouse in real-time simply by moving your hand. Say goodbye to traditional input devices and hello to intuitive control!
Perform advanced actions such as left-click, right-click, double-click, and even take screenshots effortlessly using hand gestures.
NetHyTech-MCV requires the following dependencies:
Install these dependencies using pip:
pip install opencv-python mediapipe pyautogui numpy pynput
from NetHyTech_MCV import MCV
MCV()
import NetHyTech_MCV
NetHyTech_MCV.MCV()
from NetHyTech_MCV import MCV
We welcome contributions from the community to make NetHyTech-MCV even more powerful and versatile. Feel free to fork the repository, make your changes, and submit a pull request.
NetHyTech-MCV is licensed under the MIT License. See the LICENSE file for more details.
FAQs
A package for controlling mouse actions using hand gestures
We found that NetHyTech-MCV demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.