Last November, we announced the release of the Windows ML Samples Gallery. The newest release of the gallery adds 4 new samples, 2 of which are discussed in detail below.
Real-Time Background Image Blurring
Linnea May
Real-time machine learning inference is a hot topic in ML, with applications such as real-time object detection in autonomous cars or background image blurring of a video stream during a work call. This new sample demonstrates the best practices to follow with Windows Machine Learning (Windows ML) and Microsoft Media Foundation to run background image blurring during inference on a real-time video stream at 30+ frames per second when using a dedicated GPU.
