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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.

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)
       
  • Deploy pretrained deep learning models through a high-level C++ or Python* inference engine API integrated with application logic.
     
  • 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

  • https://github.com/OpenVisualCloud/Dockerfiles

Open Source Community Downloads

 

Project: 
Open Visual Cloud