vision processing for fpga -凯发k8网页登录
this series of videos will show you how to adapt your image and video processing algorithms to target an fpga using a lane detection system as an example. learn about the techniques used by our leading customers:
- adapting frame-based algorithms to operate on a stream of bits
- a workflow to verify a streaming hardware implementation against a frame-based algorithm
- specific techniques used in the vision hdl toolbox™ lane detection example
- targeting the fpga fabric of a system-on-chip (soc) device
learn about some of the key factors to consider when targeting a vision processing algorithm to fpga or asic hardware.
reuse matlab vision processing scripts and algorithms to verify a simulink hardware implementation.
hardware design of a lane detection algorithm learn about the hardware implementation techniques used in the vision hdl toolbox lane detection example.
generate optimized fixed-point hdl to target the lane detection example to fpga fabric.
prototype a hardware-software implementation of an automated driving application using the computer vision toolbox support package for xilinx zynq-based hardware.