Incorporating deep learning capabilities on a distributed heterogeneous system is hard enough. But add computer vision and media acceleration to the mix, and development challenges increase substantially.
This webinar focuses on using the OpenVINO™ toolkit to meet these types of challenges. Built to extend workloads across Intel® hardware and maximize performance on vision systems, OpenVINO can be used to deploy deep learning inference, implement computer vision, and accelerate media (decode/encode and image processing).
What you’ll learn:
- A pragmatic approach to building complex workloads that run simultaneously across heterogeneous hardware, including CPU, GPU, FPGA, and Intel® Movidius™ VPU
- How Intel® software tools work together to optimize your vision applications—OpenVINO, Intel® Media SDK, Intel® System Studio, and Intel® VTune™ Amplifier
- Deep Learning advancements that enable pretrained models across a broader range of objects
Coding the full workload for CPU (OpenCV*)
- Intel-developed video analytics models optimized for specific hardware
OpenVINO is a trademark of Intel Corporation or its subsidiaries in the U.S. and/or other countries.