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Straightforward, functional installation on Apple Silicon // moving to PySide6 // rc2 #2022
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bringing in setup.py changes from PR #1970 |
MMathisLab
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- I found the miniconda install annoying, as it broke all my anaconda env, so that is a warning to users...
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EDIT: resolved! @jeylau please address: Testing on macbook intel chip (2020), v12.5.1: GUI launches, load demo openfield project, edit config to extract 2 frames, go to extract, and it hangs on yes/no, which I cannot select ... have to hard crash out of it :(. Next: click "label frames": |
Yeah I agree... |
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Install now works great for me! Note, it does require miniconda3, as normal anaconda does fail ;) I had to check :) but, when I run the so I need to run: then it runs 👍 |
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but it seems to not download the model correctly: |
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@MMathisLab, was this run on a M1 or M2 chip? (Although I'm not sure it makes a big difference) |
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alright, ALL solved! easy install, great work @jeylau :) |
* Fix typo * Fix failing tests (#2021) * Fix pandas regression * Update requirements.txt * Update installation.md (#2020) * Update installation.md * Update installTips.md * Update installation.md * Add benchmark API (#1777) * Add benchmark API Co-authored-by: Jessy <[email protected]> * black formatting, added ref for datasets in benchmark * Update installation.md (#2029) Just a typo Co-authored-by: Jessy Lauer <[email protected]> Co-authored-by: Steffen Schneider <[email protected]> Co-authored-by: AlexEMG <[email protected]> Co-authored-by: Ale Santuz <[email protected]>
…o PySide6 // rc2 (DeepLabCut#2022) * Drop pyside2 for pyside6 * Functional Apple Silicon conda environment file

I paste below the simple steps to follow to get a working installation with python 3.9 and tensorflow 2.10:
We'll get the miniconda M1 bash installer, as explained in https://docs.conda.io/projects/conda/en/latest/user-guide/install/macos.html. In the Terminal, run the following commands:
Then, clone DeepLabCut (
git clone https://github.com/DeepLabCut/DeepLabCut.git), and runconda env create -f conda-environments/DEEPLABCUT_M1.yaml. Next, activate the environment (conda activate DEEPLABCUT_M1), and launch DLC withpythonw -m deeplabcut.