Update installation.md (DeepLabCut#2020)

MMathisLab · jonahpearl · commit f78118cdf266 · 2022-11-27T18:47:22.000-05:00
* Update installation.md

* Update installTips.md

* Update installation.md
diff --git a/docs/installation.md b/docs/installation.md
@@ -1,7 +1,7 @@
 (how-to-install)=
 # How To Install DeepLabCut
 
-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 [installation ProTips](installTips)).
+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).
 
 ## PIP:
 
diff --git a/docs/recipes/installTips.md b/docs/recipes/installTips.md
@@ -313,37 +313,56 @@ Activate! `conda activate DEEPLABCUT` and then run: `conda install -c conda-forg
 Then run `python -m deeplabcut` which launches the DLC GUI.
 
 
-## DeepLabCut M1 chip installation environment instructions:
+## DeepLabCut MacOS M1 and M2 chip installation environment instructions:
 
-This only assumes you have anaconda installed!
+This only assumes you have anaconda installed.
 
-Use the `DEEPLABCUT_M1.yaml` conda file if you have an Macbok with an M1 chip, and follow these steps:
+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, `cd DeepLabCut/conda-environments`
+```
+git clone https://github.com/DeepLabCut/DeepLabCut.git
+```
 
-(3) Click here to download the Rosetta wheel for TensorFlow.
+(2) in the program terminal run: `cd DeepLabCut/conda-environments`
 
-For instance, for 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)
+(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`
+```
+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 satement 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:
 
-(5) Next, **activate the environment,** and in the terminal `cd` to  Downloads, and then run:
+ ```
+ pip install ~/Downloads/tensorflow-2.4.1-py3-none-any.whl --no-dependencies --force-reinstall
+ ```
+ (again, assumes this file in your downloads folder)
 
-`pip install tensorflow-2.4.1-py3-none-any.whl --no-dependencies --force-reinstall`
 
-(6) Next, launch DLC with `pythonw -m deeplabcut`
+(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 issue #1380 thanks!
+Note: Based on issues  #1380 and #2011, thanks!
 
 ## How to confirm that your GPU is being used by DeepLabCut
 
