Liezl Maree

This could be due to having the same video name - suspicious point of interest

@coderabbitai review

Hi @leo8163, From your description, it _sounds like_ an error with how much data is being written to a single SLP file. But, I have a feeling there is more...

That is perfect for us, thank you. I'll begin my analysis (and keep updating this comment) on what we can do to save larger projects. # Analysis ## Starting point...

Hi @tahayass, I just wanted to double check that when you have selected frames to predict on when running training. From the Training Pipeline GUI:  Thanks, Liezl

Closing this issue since this is unexpected behavior for analysis files. Please us the `sleap-io` library for any other io operations. Thansk!

Hi @calebvogt, While there is an import for the analysis, ~~not all the info is there to fully recreate the slp (such as edges)~~. I stand corrected, we include `edge_names`...

# Windows (manual test) Backwards compatibility #### pip freeze ```bash ``` #### mamba list ```bash ``` Training/Inference via GUI  GPU Memory usage skyrockets when we start the training loop....

# Template (manual test) Backwards compatibility #### pip freeze ```bash ``` #### mamba list ```bash ``` Training/Inference via GUI ```bash ``` Training Dialog ```bash ``` sleap-label ```bash ``` Installation ```bash...

Mac (manual test) --- Fails on training with leaked semaphore: ``` (sleap_1.4) liezlmaree:~$sleap-label /Users/liezlmaree/micromamba/envs/sleap_1.4.1a3_py310/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 1.4.18 (you have 1.4.15). Upgrade using: pip install...