A High-Quality Real Time Upscaler for Anime Video

FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more

A curated list of action recognition and related area resources

Image, GIF and Video enlarger/upscaler(super-resolution) achieved with Waifu2x, SRMD, RealSR, Anime4K and ACNet.

High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features ✨

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

🎥 Python and OpenCV-based scene cut/transition detection program & library.

A video composition framework build on top of AVFoundation. It's simple to use and easy to extend.

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

A GPU accelerated image and video processing framework built on Metal.

Arcan - [Display Server, Multimedia Framework, Game Engine] -> "Desktop Engine"

MLT Multimedia Framework

Real-time 3D face tracking and reconstruction from 2D video

A high performance anime upscaler

Video++, a C++14 high performance video and image processing library.

This library generate an Mp4 movie using Android MediaCodec API and apply filter, scale, trim, transcode, crop, timeScale, mute and rotate Mp4.

OpenShot Video Library (libopenshot) is a free, open-source project dedicated to delivering high quality video editing, animation, and playback solutions to the world. API currently supports C++, Python, and Ruby.

Video Processing in Python

With this APP, you can do all kinds of professional optimising and beautifying to your videos

Official deployment packages to install the Kaltura platform on a server or cluster environments using native OS package managers

This library apply video filter on generate an Mp4 and on ExoPlayer video and Video Recording with Camera2.

.NET Standard wrapper for FFmpeg. It allows to process media without know how FFmpeg works, and can be used to pass customized arguments to FFmpeg from dotnet core application.

Filter.js: Video and Image Processing and Computer Vision Library in pure JavaScript (Browser and Node.js)

🎞 Hardware-accelerated video transcoding using Android MediaCodec APIs. Supports cropping, concatenation, clipping, audio processing, video speed and much more.

Video-based object counting software.

A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.

TOFlow: Video Enhancement with Task-Oriented Flow

A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..