This tool prepares Foxhole stockpile screenshots into a visual report and machine-readable numbers.
- Screenshot multiple inventories from the map view in-game. Do this in the order you'd like them to appear in the report.
- Select your screenshots in the tool.
- Wait for processing.
- Edit the titles for each inventory in the report by clicking on them.
- Download the result as a PNG, text report, TSV, or append to a google spreadsheet.
Under development. However, it is already being used "in production" within regiment(s) for evaluation.
Standalone website:
cd fir
python3 -m http.server
To build the google spreadsheet sidebar, run ./sundial/gs-build.sh and find the files to be added to Google Apps Script in ./sundial/gs-build.
The standalone method will require you to manually install all the necessary dependencies, such as Node, NPM, TensorFlow, etc.
To begin training, simply run build.sh <FModel-Data-Directory>.
Training can also be performed using a Docker container instead. [https://docs.docker.com/desktop/features/wsl/] If you plan to use your GPU(s) for training, you will need to install NVIDIA drivers and the NVIDIA Container Toolkit. [https://docs.nvidia.com/ai-enterprise/deployment/vmware/latest/docker.html]
Build the docker container by running docker docker build --tag 'fir_trainer' .
If you only want to utilize your CPU for training, run docker run -it --rm -v $PWD:/tmp -w /tmp -e WAR_LOCATION=<FModel-Data-Directory> fir_trainer
If you want to utilize both your CPU and GPU(s) for training, run docker run --gpus all -it --rm -v $PWD:/tmp -w /tmp -e WAR_LOCATION=<FModel-Data-Directory> fir_trainer
All original source code and contributions available under MIT License.
Catalog details and icons processed from the game Foxhole (created by Siege Camp) are made available only under Fair Use.