A High-Quality Real Time Upscaler for Anime Video
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Updated
Jul 29, 2020 - GLSL
A High-Quality Real Time Upscaler for Anime Video
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
Video editing with Python
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 framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
A video composition framework build on top of AVFoundation. It's simple to use and easy to extend.
Arcan - [Display Server, Multimedia Framework, Game Engine] -> "Desktop Engine"
A GPU accelerated image and video processing framework built on Metal.
MLT Multimedia Framework
Real-time 3D face tracking and reconstruction from 2D video
Video++, a C++14 high performance video and image processing library.
A high performance anime upscaler
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.
Filter.js: Video and Image Processing and Computer Vision Library in pure JavaScript (Browser and Node.js)
.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.
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
The Kaltura Platform Backend. To install Kaltura, visit the install packages repository.
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