Motivation
We had been using a model that was trained on the rasterized values obtained from raw NetCDF files for smoke detection. This caused some issues while running in the production setting. We had a lot of false positives. To handle this, we will need to retrain the model with the same source of data.
this fille also adds two pipelines, one with preprocessing, and one without
Motivation We had been using a model that was trained on the rasterized values obtained from raw NetCDF files for smoke detection. This caused some issues while running in the production setting. We had a lot of false positives. To handle this, we will need to retrain the model with the same source of data. this fille also adds two pipelines, one with preprocessing, and one without
Changes adds data_rasterizer_wmts.py file
Merge Ramifications none
Trello Smoke: Re-Train model with WMTS tiles