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This command can take a long time to run for semantic segmentation models with large datasets, which requires loading rasters and comparing them pixel by pixel. We can implement this by making eval splittable and having each process output an eval file for the scenes it processed, and then another eval_merge command that combines and averages them together.
The text was updated successfully, but these errors were encountered:
This command can take a long time to run for semantic segmentation models with large datasets, which requires loading rasters and comparing them pixel by pixel. We can implement this by making eval splittable and having each process output an eval file for the scenes it processed, and then another
eval_merge
command that combines and averages them together.The text was updated successfully, but these errors were encountered: