As edge devices become more and more aware of users and context of usage, devices such as PC, peripherals and personal assistance devices with video calling capability can implement intelligent user segmentation and background bluring for more private and collaborative experiences.
Low Power Accelerated Scene Segmentation – This reference design provides an implementation of scene segmentation on low power high performance Lattice FPGA.
Hardware Optimized Examples – complete design examples running on popular Lattice development boards (including FPGA RTL) include NN Models and sample training datasets and scripts to recreate and update the example as needed. Same examples are provided through sensAI Studio.
Features
- Fast prototyping of solution and transfer learning to create additional use cases
- Reference design includes all components needed to replicate the design
- The entire end to end application implemented on FPGA resources including preprocessing of the video stream, scene segmentation using CNN based NN model and the background blurring
