OpenCV: Optimized Functions For Intel® Accelerators

This library is typically used for processing general computer vision-related flows—such as real-time image and video—and for providing analytics and machine learning capabilities. Its large number of primitives are easy to customize, giving you a reasonable performance baseline.

Based on your critical path, achieve additional performance by using the Intel® Deep Learning Deployment Toolkit.

For more information, see the OpenCV team site.

Discover the Capabilities

Deep Learning Inference

Accelerate and deploy neural network models across Intel® platforms with a built-in model optimizer for pretrained models and an inference engine runtime for hardware-specific acceleration.

Hardware Acceleration

Harness the performance of Intel®-based accelerators: CPUs, iGPUs, FPGAs, VPUs, Intel® Gaussian & Neural Accelerators, and IPUs.

Ready to Get Started?


Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserverd for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804