nuaaceieyty/image-video-processing-using-pynq-z2

Using the PYNQ-Z2 board and Jupyter notebook files to process images & HDMI streams

Image-Video-Processing-Using-Pynq-Z2

The following repo contains the necessary files needed to build and run and Image and video processing system using the PYNQ-Z2 board the design can take an input from the hdmi port and preform various filter processing on the stream such as , greyscaling, canny-edge detection, Median filtering etc..

File List

• Video_ip.zip
• Final_Notebook.zip
• Video_Filter_Prj_Sysgen.zip
• PYNQ Assignment.ipynb (Found within Final_Notebook.zip)
• Video_Filter.slx (Found within Video_Filter_Prj_Sysgen.zip)
• VideoFilter.bit (Found within Final_Notebook.zip)
• VideoFilter.tlc (Found within Final_Notebook.zip)

Using the Files

The files should be used as follows :

• Generate IP Block from Video_Processing.slx using simulink
• use Vivado (2018.3 preferrable) and include IP block in Generated block diagram
• Generate Bitstream from vivado
• Place genertaed .bit and .tlc files (base_wrapper usally) into network drive mapped to ZYNQ-Z2 (usually 192.168.2.99\xilinx)
• run Video_Processing.ipynb jupyter notebook with hdmi_in and hdmi_out connceted respectively

side note

Video_ip contains a pre-generated IP block however it is recommended that a new block is generated first and a projected synthasised incase any changes need to be made in system generator.

Authors

• Josh Ward @github/joshward99
• Paul Brockway @github/SPaulB
• Hussain Khurshid

Credits

Special thanks to David (@github/dnorthcote) for his "sysgen2pynq Video Template"