1. Clone the project `git clone 'url'` or install the git project with `pip install git+https://mygit.th-deg.de/vt16684/embedded-acceleration` to get all the required python packages before running the jupyter notebook. We are using `pynq package version 2.6.0`(that have not been included in the setup.py).
1. Clone the project with `git clone 'url'`
2. load vitis settings.sh file`. /opt/Xilinx/Vitis_HLS/2020.2/settings64.sh` and run ` make clean && make`
or
3.open the RTL file in vivado and connect the pins as mentioned in the stenganography.pdf (optional: make necessary clock frequency changes)
2.install the git project with `pip install git+https://mygit.th-deg.de/vt16684/embedded-acceleration` to get all the required python packages before running the jupyter notebook. We are using `pynq package version 2.6.0`(that have not been included in the setup.py).
4.(optional load Vivado settings.sh file) run `make`
3.load vitis settings.sh file`. /opt/Xilinx/Vitis_HLS/2020.2/settings64.sh` and run ` make clean && make`
5.Use Test bench files to do the debugging and add changes before synthesizing new overlay.
4.open the RTL file in vivado and connect the pins as mentioned in the stenganography.pdf (optional: make necessary clock frequency changes)
6. Use the given Jupyter notebook to test your iP.
5. (optional load Vivado settings.sh file) run `make`
6. Use Test bench files to do the debugging and add changes before synthesizing new overlay.
7. Use the given Jupyter notebook to test your iP.
