Search Results for "video image extractor"

One Docker image for file downloading, managing, sharing, as well as video playing and evening cloud storage synchronization. Furthermore, it's pretty small and ARM CPU compatible which means you can also run it on Raspberry Pi. Last but not least, Auto HTTPS can't be more easy.

Raspberry Slideshow is focused on quick-to-set-up image and video slideshows for the Raspberry Pi microcomputer lineup. It plays all media contained in a USB key, fetched from a network share, from a Web/FTP server, from a folder of your Dropbox account and loaded via scp as well. The operating system can refresh the media list at fixed, given intervals, in order to slide images and videos according to any remote changement (addition or deletion of a media file). ...

...I’ve also upgraded Kodi to version 21.3 "Omega" , which makes it possible to include many useful Add-ons. PERFORMANCE RaspEX Kodi is now very fast and responsive. And the video performance is brilliant. Almost as good as if you use a new "big" computer. INSTALLATION Use Rufus in Windows to transfer the IMAGE file to a SD card. USED KERNEL Kernel 6.12.40-exton-v8-16k+ for Rpi5. You can ONLY run this RaspEX Kodi version on a Raspberry Pi 5. ABOUT Kodi 21.3 Version 21.3 ("Omega") was released 251216. ...

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. ...

Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a...