In my effort to compare classification with v2 and v3 features for a large training set from MVCO, I found what I think is an inconsistent behavior in cases for ROIs with no blob. I think v2 features have an entry for those ROIs with 0s for any feature that requires a blob, but computed values for features that are based on only the raw image. It looks like the test set of v3 features Joe produced have those ROIs skipped altogether. I found this because the change in blob algorithm apparently occasionally produces no blob when previously there was one. Here is an example where there is an old blob (and corresponding v2 features, but no new v3 features:
http://ifcb-data.whoi.edu/mvco/D20170423T045058_IFCB010_02289.html
\sosiknas1\IFCB_dev\features_v3_test\features\D20170423T045058_IFCB010_fea_v3.csv
In my effort to compare classification with v2 and v3 features for a large training set from MVCO, I found what I think is an inconsistent behavior in cases for ROIs with no blob. I think v2 features have an entry for those ROIs with 0s for any feature that requires a blob, but computed values for features that are based on only the raw image. It looks like the test set of v3 features Joe produced have those ROIs skipped altogether. I found this because the change in blob algorithm apparently occasionally produces no blob when previously there was one. Here is an example where there is an old blob (and corresponding v2 features, but no new v3 features:
http://ifcb-data.whoi.edu/mvco/D20170423T045058_IFCB010_02289.html
\sosiknas1\IFCB_dev\features_v3_test\features\D20170423T045058_IFCB010_fea_v3.csv