Multiprocessor CA Updates

Objective

Use PYNQ- Link-
PYNQ is an open-source project from Xilinx® that makes it easy to design embedded systems with Xilinx Zynq® Systems on Chips (SoCs).

Using the Python language and libraries, designers can exploit the benefits of programmable logic and microprocessors in Zynq to build more capable and exciting embedded systems.
Started with the edge detection algorithm: Materials found
- Paper-1- Link
- paper-2 -link-canny algorithm
- Blogs- Link- Has used HLS
- paper3- Link
- blog- Link-Much well written
Most papers have preferred using solbel filters
Can be used via scipy library in python

Overlays, or hardware libraries, are programmable/configurable FPGA designs that extend the user application from the Processing System of the Zynq into the Programmable Logic
PYNQ provides a Python interface to allow overlays in the PL to be controlled from Python running in the PS. FPGA design is a specialized task that requires hardware engineering knowledge and expertise. PYNQ overlays are created by hardware designers and wrapped with this PYNQ Python API.
Overlay used in the project: OpenCV overlay- link

Instead of using large NNs, try different types of CNN filters instead
- Edge Detection-Kernel-solbel
- Blurring-Kernels-Gaussian
For Gaussian materials found
- Wiki Material with code -http://subsurfwiki.org/wiki/Gaussian_filter