TJArk Code Release 2019
This is the open source code of TJArk framework used on NAO V6 robots in RoboCup 2019.
- Bin: executable binaries of the code
- Config: configuration files
- Src: source code
- Five threads are used: Upper-cognition, Lower-cognition, Motion, Behavior, Debug
- Optimized version of OpenCV
Some third-party libraries/codes are included in this code release, such as LolaConnector from Nao-Team HTWK, CABSL(iostream version) from B-Human, and OpenCV.
Their license can be found in 3rdPartyLicense folder. We highly respect and appreciate their contribution.
How to use on NAO v6
Use installCrossToolChain.sh to install cross toolchain
Caution: After this the toolchain can't be moved or copied to other devices anymore!
create_crossconfig.pyto create cross-config.cmake. This is the cmake cross chain file.
ctc/yocto-sdk/relocate_sdk.pyto relocate sdk.
sh Make.shto build this program.
If you are interested in other modules or our dataset or pre-trained weights, please contact us TJArk.Official@gmail.com.