Add AI features using comprehensive optimized libraries for faster computation on CPUs, GPUs, VPUs, and Gaussian Network Accelerators (GNAs).
Through a standard and simple API, Intel AI Skills provides all the required components, including pretrained models, along with preprocessing, inferencing, and post-processing capabilities.
Using the API defined by the Windows Skills* framework, implement Intel AI Skills using a plug-in to the framework. These skills abstract complexities into a single programming paradigm with standardized primitives.
Use an image or video frame as input to apply any of the skills listed.
|Background Blur||Segment out individuals while blurring the background image to highlight the individuals in the foreground.|
|Background Replacement||Segment out individuals while replacing the background with a user-selected image.|
|Face Detection||Create bounding boxes for detected faces and other attributes, such as eyes, mouths, or nose tips.|
|Person Detection||Create bounding boxes for detected individuals.|
|Super Resolution||Convert a low-resolution image or video frame (320 x 240 or 640 x 360) to a high-resolution image (1280 x 960 or 1280 x 720).|
Intel provides sample application source code for each skill to demonstrate how to use them in applications. These UWP applications are designed to take inputs directly from camera feeds or image files and render the output on the application to quickly demonstrate the functionality of the skills.
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.