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Notebook for training keypoint-moseq on 10 EPM videos #13

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merged 4 commits into from
Oct 2, 2024

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@niksirbi niksirbi commented Sep 26, 2024

Adds a new notebook that trains a keypoint-moseq model on 10 videos of the mouse EPM dataset.
The produced project folder is included in the course's sample data, so that we can use the model for inference.

I will not have the students walk though this notebook during the course, I will just show its results.
Nevertheless, it's good to keep track of it here, as it serves as a living documentation for how the keypoint-moseq derivatives in the sample dataset were produced.

@niksirbi niksirbi marked this pull request as ready for review October 2, 2024 11:54
@niksirbi niksirbi requested a review from sfmig October 2, 2024 11:54
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thanks @niksirbi!

Since it's a bit faffy to comment the notebook, I pushed directly some changes, hope that is ok!

I just expanded some acronyms and sentences, and formatted some references to keypoint-moseq. I also fixed a typo that was inherited from the other notebook re the activation of the conda environment (see #18)

I leave you to give the final ok and press the big green button :)

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niksirbi commented Oct 2, 2024

Thanks Sofia, you definitely improved the text! I don't mind you pushing to this branch at all.

Regarding the typo in the environment name, I had copy pasted it from the EPM_syllables notebook, and similar error exist there. I'll open a small PR to fix them.

Correction

Ah, you already did the fix yourself. Nevermind, all good.

@niksirbi niksirbi merged commit bb3033e into main Oct 2, 2024
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@niksirbi niksirbi deleted the train-keypoint-moseq-EPM branch October 2, 2024 13:12
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