Mackenzie Mathis

@n-poulsen can you take a look at this asap, it's a blocker for lab work.

>> and the videos seem to have highly variable analysis times, causing some jobs to run for 5 hours but then fail, with nothing to show for it. Eg for...

@n-poulsen is this completed?

Strange! thats a new one :) Could you try `pip install --upgrade napari-deeplabcut` in your env?

Could you try this: Launch env Then don't import ipython, just type 'python -m deeplabcut' - let see if indeed it's somehow related to Python/conda :)

it looks like you are using a multi-animal project; so you have 18 key points per animal, and thus 36 (vs. the 18) error. DLC triangulate does not use the...

It it printed in the terminal when you run evaluation.

hi @zhuzhuhaor I'll let @n-poulsen @yeshaokai comment on the superanimal download issues, but for the supernaimal mutli-animal, this requires you use the detector; which is not intrgrated into this code...

@n-poulsen and @jeylau let's prioritize this -- I think it's a great addition, and can be worked into DLC3.0

looks like the project has both linux and Windows formatting; did you start the project/use on both OS ? cc @jeylau