For the reference design to work, you need to download PYNQ-Z1 image v2.3, which is compatible with Vivado 2018.2. This has been uploaded on blackboard.
( It can also be downloaded from here (but requires a Xilinx account): https://www.xilinx.com/registration/sign-in.html )
You may need to format the SD card, before re-writing it.
In some extreme cases, the card may not be responding at all, and a new SD card should be used.
If you have any unsaved work on your PYNQ board (e.g. any Jupyter notebook that has not been backed-up) you may be able to retrieve them (if the corruption only affects the Jupyter interface) following the instructions from here: https://pynq.readthedocs.io/en/v2.3/getting_started.html#accessing-files-on-the-board to access your files on the PYNQ board.
Hi, just to add on based on our group's experience when trying to format the SD card (on Windows):
There were 3 partitions on the new SD card we received so we had to delete the extra partitions before reformatting the entire SD card (using Disk Management).
After this, we were able to write the PYNQ image onto the reformatted SD card. Prior to this, the write operation didn't work for us.
Hope this helps if anyone is facing the same issue!
If the SD card has been corrupted, you can re-program it using an SD-Card reader with the PYNQ image following the instructions in the link below: https://pynq.readthedocs.io/en/v2.3/appendix.html#writing-the-sd-card-image
For the reference design to work, you need to download PYNQ-Z1 image v2.3, which is compatible with Vivado 2018.2. This has been uploaded on blackboard. ( It can also be downloaded from here (but requires a Xilinx account): https://www.xilinx.com/registration/sign-in.html )
You may need to format the SD card, before re-writing it. In some extreme cases, the card may not be responding at all, and a new SD card should be used.
If you have any unsaved work on your PYNQ board (e.g. any Jupyter notebook that has not been backed-up) you may be able to retrieve them (if the corruption only affects the Jupyter interface) following the instructions from here: https://pynq.readthedocs.io/en/v2.3/getting_started.html#accessing-files-on-the-board to access your files on the PYNQ board.