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python 3.10 is required (#2614)
* Update installation.md note that python 3.10 is now required * Update DEEPLABCUT_M1.yaml
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conda-environments/DEEPLABCUT_M1.yaml

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@@ -30,7 +30,7 @@ channels:
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- conda-forge
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- defaults
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dependencies:
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- python=3.9
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- python=3.10
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- pip
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- ipython
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- jupyter

docs/installation.md

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(how-to-install)=
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# How To Install DeepLabCut
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- DeepLabCut can be run on Windows, Linux, or MacOS (see also [technical considerations](tech-considerations-during-install) and if you run into issues also check out the [Installation Tips](https://deeplabcut.github.io/DeepLabCut/docs/recipes/installTips.html) page).
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- DeepLabCut can be run on Windows, Linux, or MacOS as long as you have Python 3.10 installed (see also [technical considerations](tech-considerations-during-install) and if you run into issues also check out the [Installation Tips](https://deeplabcut.github.io/DeepLabCut/docs/recipes/installTips.html) page).
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- Please note, there are several modes of installation, and the user should decide to either use a **system-wide** (see [note below](system-wide-considerations-during-install)), **conda environment** based installation (**recommended**), or the supplied [**Docker container**](docker-containers) (recommended for Ubuntu advanced users). One can of course also use other Python distributions than Anaconda, but **Anaconda is the easiest route.**
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- We recommend for most users to use our supplied CONDA environment.
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- Please note, you will get the best performance with using a GPU! Please see the section on [GPU support](https://deeplabcut.github.io/DeepLabCut/docs/installation.html#gpu-support) to install your GPU driver and CUDA.
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#### 💡 miniconda for Mac
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````{admonition} Click the button to see code for miniconda for Mac
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:class: dropdown
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wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-MacOSX-arm64.sh -O ~/miniconda.sh
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wget https://repo.anaconda.com/miniconda/Miniconda3-py310_4.12.0-MacOSX-arm64.sh -O ~/miniconda.sh
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bash ~/miniconda.sh -b -p $HOME/miniconda
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source ~/miniconda/bin/activate
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conda init zsh
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In the terminal type:
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`conda create -n DLC python=3.8`
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`conda create -n DLC python=3.10`
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**Current version:** The only thing you then need to add to the env is deeplabcut (`pip install deeplabcut[tf]`) or `pip install 'deeplabcut[gui,tf]'` which has a pyside/napari based GUI.
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