Package description

This folder contains example training scripts of AGENIUM SPACE tiny unet model on ALCD Cloud DB. It contains training script, the ALCD DB reprocessed in RGB a docker recipe.

Docker

The folder contains a docker recipe and a make file to build an run it, got check the Readme in DOCKER folder. It is assumed you have a NVIDIA GPU on your computer. To build the docker:

cd DOCKER
make build

To run the docker :

cd DOCKER
make bash

Database

You can find the DB in DATA. It is a tiled and rgb format of the ALCD Cloud DB available online here.

Trained Models

This section assume you are using the provided docker.

For training the tiny unet 100k model use :

    python ./SCRIPTS/train.py run --model ags_tiny_unet_100k --data_path ./DATA/

For training the tiny unet 50k model use :

    python ./SCRIPTS/train.py run --model ags_tiny_unet_50k --data_path ./DATA/

You can access the help info using

    python ./SCRIPTS/train.py run -- --help

To use 2 gpus:

# using torchrun
torchrun --nproc_per_node=2 ./SCRIPTS/train.py run --model ags_tiny_unet_100k --data_path ./DATA/ --backend="nccl"

python ./SCRIPTS/train.py run --model ags_tiny_unet_50k --data_path ./DATA/

Models Score

The table below contains the score results for the the models

Model	Train Score (mean F1-score)	Valid Score (F1-score)
tiny_unet_50k	0.94 - 0.78	0.94 - 0.77
tiny_unet_100k	0.94 - 0.79	0.84 - 0.78