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1. axi_dma folder contains the whole Vivado project previously used to build system on ZYNQ. You can refer to the block design in it to learn about how to build up a ZYNQ system for our project. You can open it by Vivado2017.4.
2. executable_files_zynq folder contains the source code and executable file that can be directly run on zynq. It handles video receiving and data transmit between PS and PL, and video sending.
3. gstreamer_video_process folder contains the video sender, video receiver and displaying part, along with script to run these files. They could be used directly after proper environment setting.
About
This repo aims to realize a Real Time Image Defogging System Based on Deep Learning Algorithm. The video capturing and receiving are handled on PC. And the video data is transmitted using ethernet to ZYNQ board on which we deploy a defogging kernel based on deep learning to realize video defogging.