Just Released! Intel® Computer Vision SDK Beta R2
For computer vision, deep learning, video solutions (such as security cameras), or office automation, top systems may incorporate multi-channel streaming, real-time software-based analytics, and more. On the heels of its newest release, you can get your geek on to integrate intelligence into your apps with the updated Intel® Computer Vision SDK (Intel® CV SDK) Beta R2. It delivers improved runtime performance, code algorithm efficiencies, and enhancements to the Deep Learning Deployment Tool. And we can’t forget – new support for more OSs: Windows 10*, Ubuntu 16.04*, OpenCV 3.3*, Yocto MR3*. Additionally, a new easy-to-install and use OpenCL driver is included.
Dive into the Fun Technical Stuff
See below the details of what's new in this release.
Improved Deep Learning Tools
New topologies are now supported
Improved Runtime Performance
New Features in the Vision Algorithm Designer (VAD)
Additional OS Support, OpenCL driver Now Available
The new release includes support for Windows* 10, Ubuntu* 16.04, OpenCV* 3.3, and Yocto* MR3. Additionally, a new easy-to-install and use OpenCL driver is included.
The Computer Vision SDK supports these Intel® platforms:
Download the Intel Computer Vision SDK now.
About the Intel Computer Vision SDK
The Intel Computer Vision SDK is a comprehensive toolkit for developing and deploying computer vision solutions on Intel® platforms, including digital surveillance cameras, robotics, autonomous vehicles, office automation, mixed-reality headsets, and more. Based on OpenVX*, this SDK offers many useful extensions and supports heterogeneous execution across CPU and SoC accelerators using an advanced graph compiler, optimized and developer-created kernels, and design and analysis tools. It also includes deep learning tools that unleash inference performance on deep learning deployment.
For more such intel IoT resources and tools from Intel, please visit the Intel® Developer Zone
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