kwcoco.metrics.assignment module

Todo

• [ ] _fast_pdist_priority: Look at absolute difference in sibling entropy

  when deciding whether to go up or down in the tree.

• [ ] medschool applications true-pred matching (applicant proposing) fast

  algorithm.

• [ ] Maybe looping over truth rather than pred is faster? but it makes you

  have to combine pred score / ious, which is weird.

• [x] preallocate ndarray and use hstack to build confusion vectors?

  • doesn’t help

• [ ] relevant classes / classes / classes-of-interest we care about needs

  to be a first class member of detection metrics.

• [ ] Add parameter that allows one prediction to “match” to more than one

  truth object. (example: we have a duck detector problem and all the ducks in a row are annotated as separate object, and we only care about getting the group)