For general questions regarding this contest, please contact Jeff Goeders [email protected].

• Download the board image from http:https://www.pynq.io/board.html
• Follow the instructions to image the SD card at https://pynq.readthedocs.io/en/latest/getting_started/pynq_image.html.
• Follow the instructions to setup and connect to the board at https://ultra96-pynq.readthedocs.io/en/latest/getting_started.html.

Open a terminal on your PYNQ board and run:

sudo pip3 install --upgrade git+https://github.com/npurusho/dac_2019_contest.git

Currently this repository is compatible with PYNQ image v2.3.

The get started, users have to run the following command on the Ultra96 board:

cd /home/xilinx/jupyter_notebooks
sudo git clone https://github.com/jgoeders/dac_2019_contest.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_2019_contest under your jupyter notebook dashboard. Open the pynquser/dac_contest.ipynb notebook for directions on where to begin.

1. overlay: This folder stores the overlay needed for the design. Usually it includes .bit and .tcl.

2. images: All the test images are stored in this folder.

3. python: This folder contains the python classes needed for the design, as well as the example notebook(s).

4. result: The results includes the coordinates of the resized pictures and the frame rate of each picture.