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Currently the PointMatchClientOutputSchema only produces the name of the output pointmatch collection and the total number of pointmatches in that collection after processing. In common workflows, pointmatching is done in a distributed manner (e.g. per-section montage pointmatching into a single montage correspondence collection). This means that the number of pointmatches is not particularly indicative of anything other than the order in which processing occurred.
A suggestion is to include information about the number of sucessfully matched tiles as well as the number of input pairs from the pair file.
The text was updated successfully, but these errors were encountered:
Additionally, there could be a fail condition flag for 0 or a certain percentage of expected pairs unmatched that leads to an unsuccessful run from the python side (r.t. setting inliers in the spark input)
Currently the
PointMatchClientOutputSchema
only produces the name of the output pointmatch collection and the total number of pointmatches in that collection after processing. In common workflows, pointmatching is done in a distributed manner (e.g. per-section montage pointmatching into a single montage correspondence collection). This means that the number of pointmatches is not particularly indicative of anything other than the order in which processing occurred.A suggestion is to include information about the number of sucessfully matched tiles as well as the number of input pairs from the pair file.
The text was updated successfully, but these errors were encountered: