Showing results for employs Background
GitHub Repo
https://github.com/mukesh-gehlot/remove_background
mukesh-gehlot/remove_background
This Python script utilizes the rembg library to remove the background from an image. It employs the easygui library for straightforward file selection and saving, creating a simple user interface. The PIL (Python Imaging Library, Pillow) is used for working with images.
GitHub Repo
https://github.com/kdungs/very-naive-bayes
kdungs/very-naive-bayes
A very naive implementation of a Naive Bayes classifier. It can distinguish two different labels (signal and background) and employs Gaussian pdfs.
GitHub Repo
https://github.com/rudnie-casinillo/ClearTone
rudnie-casinillo/ClearTone
CLEARTONE is a web-based real-time speech enhancement system that employs advanced digital signal processing algorithms to suppress background noise and improve audio clarity.
GitHub Repo
https://github.com/employsecure8-create/Employee-Background-Verification-Services-EmploySecure
employsecure8-create/Employee-Background-Verification-Services-EmploySecure
Ensure a safe workplace with EmploySecure's comprehensive employee background verification services. Contact us today to learn more.
GitHub Repo
https://github.com/Darkskittlz/DarkMeow-Backgrounds
Darkskittlz/DarkMeow-Backgrounds
React Web Application displaying the various backgrounds in tsParticles and threeJS I like to employ on my web applications
GitHub Repo
https://github.com/elliotfayman/BiteBuddies
elliotfayman/BiteBuddies
This program is designed for a smart water drip sensor that uses advanced signal processing to distinguish dripping noise from background noise, helping to identify leaks and conserve water. The program runs on an Arduino microcontroller and employs various techniques to isolate and identify dripping noise.
GitHub Repo
https://github.com/elliotfayman/DripTech
elliotfayman/DripTech
This program is designed for a smart water drip sensor that uses advanced signal processing to distinguish dripping noise from background noise, helping to identify leaks and conserve water. The program runs on an Arduino microcontroller and employs various techniques to isolate and identify dripping noise.
GitHub Repo
https://github.com/Morsinaldo/SFND-Radar-Target-Generation-Detection
Morsinaldo/SFND-Radar-Target-Generation-Detection
This repository contains the code developed in the fourth project of Udacity's Fusion NanoDegree Sensor, which employs the 2D CA-CFAR technique to detect target measurements against a background characterized by noise in the context of a frequency-modulated continuous wave (FMCW) radar.
GitHub Repo
https://github.com/Vaishnavi-Khule/Background-Subtraction-using-GMM
Vaishnavi-Khule/Background-Subtraction-using-GMM
• Implemented Gaussian Mixture Models (GMMs) for accurate background subtraction in image sequences, employing multivariate Gaussian distributions. • Explored two baselines for background extraction: frame averaging and per-pixel GMMs, achieving improved accuracy compared to other methods.
GitHub Repo
https://github.com/Pravallikakh05/Frequency-Domain-Adaptive-Noise-Cancellation