cloudmask-fit
Cloudmask training, prediction and evaluation of the results.
Refer to wiki for more detailed description of the workflow, model architectures and results.
Setup
-
Create a conda environment.
conda env create -f environment.yml -
Copy
config/config_example.jsonand adapt it to your needs.
Usage
Model fitting can be performed as follows:
conda activate cm_fit
python3 cm-fit.py -c config/your_config.json
Once the model fitting has concluded, the model weights in the output directory can be used for prediction.
This can be performed as follows:
conda activate cm_fit
python3 cm-fit.py -c config/your_config.json -p input/for_prediction/T35VLF_20200529T094041_tile_1024_4864.nc -w output/a1_029-0.96.hdf5