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MMathisLab merged 3 commits into from
May 6, 2023
Merged

removed deprecated install tips for mac m1/m2 #2234

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removed deprecated install tips for m1/m2
n-poulsen May 5, 2023
b1db16a
updated docs to keep basic steps
n-poulsen May 5, 2023
9b33c0b
Update installTips.md
AlexEMG May 6, 2023
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removed deprecated install tips for m1/m2
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@n-poulsen
n-poulsen committed May 5, 2023
commit 7400827c17493ff1a686e1ab44f8bf2716ee1570
52 changes: 0 additions & 52 deletions docs/recipes/installTips.md
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Expand Up @@ -312,58 +312,6 @@ Activate! `conda activate DEEPLABCUT` and then run: `conda install -c conda-forg

Then run `python -m deeplabcut` which launches the DLC GUI.


## DeepLabCut MacOS M1 and M2 chip installation environment instructions:

This only assumes you have anaconda installed.

Use the `DEEPLABCUT_M1.yaml` conda file if you have an Macbok with an M1 or M2 chip, and follow these steps:

(1) git clone the deeplabcut cut repo:

```
git clone https://github.com/DeepLabCut/DeepLabCut.git
```

(2) in the program terminal run: `cd DeepLabCut/conda-environments`

(3) Click [here](https://drive.google.com/file/d/17pSwfoNuyf3YR8vCaVggHeI-pMQ3xL7l/view?usp=sharing) to download the Rosetta wheel for TensorFlow. We assume this goes into your Downloads folder. This downloads TF 2.4.1; https://drive.google.com/file/d/17pSwfoNuyf3YR8vCaVggHeI-pMQ3xL7l/view?usp=sharing
(for different versions see here: https://github.com/tensorflow/tensorflow/issues/46044).

(4) Then, run:

```
conda env create -f DEEPLABCUT_M1.yaml
```

(5) Please activate the environment and set osx-64; i.e., then, run:

```
conda activate DEEPLABCUT_M1
conda env config vars set CONDA_SUBDIR=osx-64
```
Now, as the print statement says, please deactivate and re-activate to set the change:

```
conda deactivate
conda activate DEEPLABCUT_M1
conda env update -f DEEPLABCUT_M1.yaml
```

(5) Next, run:

```
pip install ~/Downloads/tensorflow-2.4.1-py3-none-any.whl --no-dependencies --force-reinstall
```
(again, assumes this file in your downloads folder)


(6) Next, launch DLC with `pythonw -m deeplabcut` (or if DLC version 2.3+, please use `python -m deeplabcut`)

GUI will open!

Note: Based on issues #1380 and #2011, thanks!

## How to confirm that your GPU is being used by DeepLabCut

During training and analysis steps, DeepLabCut does not use the GPU processor heavily. To confirm that DeepLabCut is properly using your GPU:
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