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)