karfly/learnable-triangulation-pytorch

Training/evaluating on all sequential frames

jamalknight opened this issue · 2 comments

This model skips redundant frames (where the subject is not moving) and therefore does not process all frames. If I wanted to test a sequence of all frames (not skipping any) could I:

  1. use this model trained on skipped frames (as it currently is) and evaluate it on a sequence where no frames are skipped

or

  1. would I have to retrain using data that does not skip frames?

Ultimately I would like to have smooth sequential motion without frames skipped and wondering what the best approach would be.

Thanks

No, you don't have to retrain. The model will work already. It doesn't "skip redundant frames", it's just that the dataset was preprocessed this way. That doesn't matter.

Great, thanks