npurusho / dac_sdc_2021

DAC 2020 Design Contest

Note:

These files are still under development. They should be stable by the end of January.

For full contest details, please see the 2021 DAC System Design Contest page.

For general questions regarding this contest, please use the Piazza page: piazza.com/dac_2018/winterterm12021/dacsdc2021

Setup PYNQ on your Ultra96v2 board

• Download the Ultra96v2 board image from http://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.

Usage

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_sdc_2021.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_sdc_2021 under your jupyter notebook dashboard. Open the sample_team/dac_sdc.ipynb notebook for directions on where to begin.

Folder Structure

1. sample_team: This folder contains files for a sample team. This includes a .bit and .tcl file that defines the hardware, and a .ipynb jupyter notebook, and a hw folder that is used to create a Vivado project.

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

3. result: The results contain the output xml produced when execution is complete, and contains the runtime, energy usage, and predicted location of each object in each image.