deploying computer vision algorithm on FPGA
I am sharing my start-up project, 3D sensor, which use sgm stereo vision algorithm, by learning from the real project, you will get a sense of how to design algorithms that is suitable for FPGA, and how to simulate verilog HDL code, and debug on FPGA, and writing driver to bring up the FPGA board.
you need to have the knowledge of the followings :
1. verilog HDL
2. FPGA
3. computer vision fundamentals , so you are able to under stand openCV source code and modify it, and then further to convert it into verilog HDL, specifically here in this project we need to convert the opencv’s image calibration and stereo rectification matix on FPGA.
4. embedded linux
5. C for writing driver to bring up the zynq board
6. C++ for demo applications running on linux and algorithm verification
we will discuss the technology details regarding to the course here.
github repository: https://github.com/brianwchh/grassrootsstartup-ComputerVsion-zynq.git
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