Closed rak5216 closed 4 years ago
pipenv run python3 infer_segmentation.py --gcp-bucket gs://necstlab-sandbox --model-id segmentation-model-small_20190924T191717Z --stack-id THIN_REF_S2_P1_L3_2496_1563_2159 --image-ids 8bit_AS4_CNT_S1_P1_L2_2560_1750_2160_0092_neg_class_0_crop0.tif,8bit_AS4_CNT_S1_P1_L2_2560_1750_2160_0092_neg_class_0_crop0.tif,8bit_AS4_CNT_S1_P1_L2_2560_1750_2160_0092_neg_class_0_crop0.tif --output overlay
or
pipenv run python3 infer_segmentation.py --gcp-bucket gs://necstlab-sandbox --model-id segmentation-model-small_20190924T191717Z --stack-id THIN_REF_S2_P1_L3_2496_1563_2159 --image-ids 8bit_AS4_CNT_S1_P1_L2_2560_1750_2160_0092_neg_class_0_crop0.tif,8bit_AS4_CNT_S1_P1_L2_2560_1750_2160_0092_neg_class_0_crop0.tif,8bit_AS4_CNT_S1_P1_L2_2560_1750_2160_0092_neg_class_0_crop0.tif --output labels
We want to choose what data output we get from infer. Currently we only get a 8-bit RGB with damage overlayed on the raw data, which is at least a 3X larger file vs. inputs. We would like an input parameter that acts as a flag to establish whether we want (1) mask only, (2) mask+raw , or (3) both stacks.