Objec Detection With Pytorch YOLO-V3
-
Updated
Apr 19, 2019 - Python
Objec Detection With Pytorch YOLO-V3
In this project, we will be blurring the background in a live video feed. This can be further integrated into online meetings, streamings etc.
A multiviewer for AWS Elemental MediaConnect flows.
This repository shows how you can build a web dashboard to edit and send TimedMetadata events to Amazon IVS Channels.
Using the picamera and Balena to create the camera server
Python library to communicate with JVC Connected Cam devices
ARKit 2 and Live Video - GitHub of The App Brewery : https://github.com/appbrewery/MagicPaper-iOS13-Completed
This project is a lie detector created using Machine Vision technologies and methods
Store is an open-source repository where you can share your own live wallpapers for Sucrose.
A real-time streaming framework that utilizes neural network-based super-resolution to enhance live video quality
Alohacam Beta
This standalone demo aims to showcase best practices and optimizations to achieve reduced TTV (Time to Video) and improved latency with Amazon IVS. This demo is built on Amazon IVS and uses the Amazon IVS Player SDK.
This repository contains an Android demo app which shows how to instantiate multiple players simultaneously, and switch between 3 predefined layouts/sets of demo streams. The app is built on Amazon IVS and the Amazon IVS Player SDK.
This standalone demo aims to showcase best practices and optimizations to achieve reduced TTV (Time to Video) and improved latency with Amazon IVS. This demo is built on Amazon IVS and uses the Amazon IVS Player SDK.
This repository contains an iOS demo app which shows how to instantiate multiple players simultaneously, and switch between 3 predefined layouts/sets of demo streams using SwiftUI. The app is built on Amazon IVS and the Amazon IVS Player SDK.
Segment, Recognise and Count fingers from a live video feed
A demo Android app built with Kotlin that shows how to implement a basic video + chat application using Amazon IVS and the AWS serverless application model (SAM).
A demo web application that shows how to implement a basic live streaming application with bullet chat using Amazon IVS and React.
Add a description, image, and links to the live-video topic page so that developers can more easily learn about it.
To associate your repository with the live-video topic, visit your repo's landing page and select "manage topics."