CG4002: Laser Tag

This repository contains Group B7's code for CG4002 Capstone Project.

External Communications

1. To build, you will need python3 and golang.
2. Setup ~/.ssh/config with xilinx as the Ultra96
3. Use make -j 2 to build and push to xilinx. You may modify the host name or target environment from arm64 to other supported platforms.
4. Start up python fpga server on xilinx with pushd ~/ecomm/pynq && sudo -E python3 main.py.
5. To run with mock eval server on xilinx, simply run ~/ecomm/ecomm.
6. To run with eval server on xilinx, simply run ~/ecomm/ecomm -evalAddr='10.1.1.1:1234'.
7. More runtime options can be found with ~/ecomm/ecomm --help.

Internal Communications

Please refer to the internal communications README under the iComm folder.

Hardware Sensor

Please refer to the hardware sensor README under the Hardware folder.

Hardware AI

For the software AI development, please refer to the software AI README under the AI/sw_model folder.

For the FPGA AI implementation, please refer to the hardware AI README under the AI/hw_model folder.

For the PYNQ deployment, please refer to the PYNQ README under the AI/FPGA_deployment folder.

Visualizer

All assets used to develop the AR visualizer is under the Assets folder.