Download the Source Code
Welcome to the download page. Here you will find direct download links for individual ingredients of the Open Visual Cloud.
Open Visual Cloud - GitHub Repos
The Open Visual Cloud reference pipelines are provided as Dockerfiles to simplify setup and evaluation, and are intended to serve as a starting point for your new or enhanced service development.
- Open Visual Cloud Home
Scalable Video Technology - GitHub Repos
Scalable Video Technology (SVT) is a software-based video coding technology that is highly optimized for Intel® Xeon® Scalable processors and Intel® Xeon® D processors. SVT is designed for cloud-native scalability, and it provides outstanding tradeoffs between visual quality and performance, for both VOD and live visual cloud applications.
Visit the SVT developer home page at https://01.org/svt or navigate straight to the GitHub repos below.
VISUAL CLOUD ACCELERATOR CARDS - GITHUB REPOS & BINARIES
Visual Cloud Accelerator Cards (VCAC) are high density acceleration solutions for use in network edge servers. Visual Cloud Accelerator Card – Analytics (VCAC-A) combines on card video endode/decode and inference for powerful high density media analytics. Visual Cloud Accelerator Card – Rendering (VCAC-R) delivers powerful graphics processing capabilities for cloud gaming.
Intel® oneAPI Rendering Toolkit - GitHub Repos
- Intel® Embree
Embree is a collection of high-performance ray tracing kernels to improve the performance of photo-realistic rendering applications. More information can be found here.
- Intel® OSPRay
This portable ray-tracing engine delivers high-performance, high-fidelity visualization for CPUs on Intel® architecture. Visit http://www.ospray.org for more information.
- Intel® OpenSWR
This is a high-performance, scalable software rasterizer in the Mesa open-source community project, which is compatible with OpenGL*.
- Intel® Open Image Denoise
An open source library of image denoising and filtering algorithms to improve visual quality and reduce rendering times.
OpenVINO - GitHub Repos
Based on Convolutional Neural Networks (CNN), the OpenVINO™ Toolkit extends computer vision (CV) inference workloads across Intel® hardware, maximizing performance. The OpenVINO toolkit includes the Deep Learning Deployment Toolkit (DLDT).
- OpenVINO Toolkit
Develop applications and solutions that emulate human vision with the Intel® Distribution of OpenVINO™ toolkit.
- Intel® Distribution of OpenVINO Toolkit
In addition to supporting Intel® Xeon® processors, this distribution enables optimal performance on other hardware from Intel, such as:
- Intel® FPGA
- Intel® Movidius™ Vision Processing Unit (VPU)
- Open Model Zoo
Deploy pretrained deep learning models through a high-level C++ inference engine API integrated with application logic.
Intel® Media SDK - GitHub Repo
- Intel® Media SDK
Intel processor graphics acceleration of video encoding, decoding, and pre-processing in applications for Microsoft Windows* and embedded Linux*.
OPEN WEBRTC TOOLKIT- GITHUB REPO
- Open WebRTC Toolkit
Provide end-to-end solution for real-time media processing and delivery, including real-time streaming, conferencing, transcoding and analytics.
SG1- GITHUB REP
VCDP/MediaSDK Open Source release of media stack for SG1
Open Source Community Downloads