For general questions regarding this contest, please contact Xinyi Zhang [email protected].
The get started, users have to run the following command on PYNQ-Z1 board:
cd /home/xilinx/jupyter_notebooks
sudo git clone https://github.com/yunqu/dac_2018.git
Remember the user name and password are both xilinx
for super user.
After the above step is completed successfully, you will see a folder dac_2018
under your
jupyter notebook dashboard.
-
overlay: This folder stores the overlay needed for the design. Usually it includes .bit and .tcl.
-
images: All the test images are stored in this folder.
-
python: This folder contains the python classes needed for the design, as well as the example notebook(s).
-
result: The results includes the coordinates of the resized pictures and the frame rate of each picture.
Redundant variables in DACSDC.py were moved.
Function "storeResultsToXML" in DACSDC.py is revised.
Please ignore object "boat9" and "group4" in the training dataset. They will be deleted from the latest training dataset.
Revised python classes and polished notebooks.
Updated the overlay: (1) changed to use HP port for DMA transfer, (2) enlarged the FIFO depth, (3) updated the DDR memory parameters, and (4) updated DMA configuration parameters.