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| ### Install DeepLabCut-live on a desktop (Windows/Ubuntu) | |
| We recommend that you install DeepLabCut-live in a conda environment (It is a standard python package though, and other distributions will also likely work). In this case, please install Anaconda: | |
| - [Windows](https://docs.anaconda.com/anaconda/install/windows/) | |
| - [Linux](https://docs.anaconda.com/anaconda/install/linux/) | |
| Create a conda environment with python 3.7 and tensorflow: | |
| ``` | |
| conda create -n dlc-live python=3.7 tensorflow-gpu==1.13.1 # if using GPU | |
| conda create -n dlc-live python=3.7 tensorflow==1.13.1 # if not using GPU | |
| ``` | |
| Activate the conda environment, install the DeepLabCut-live package, then test the installation: | |
| ``` | |
| conda activate dlc-live | |
| pip install deeplabcut-live | |
| dlc-live-test | |
| ``` | |
| Note, you can also just run the test: | |
| `dlc-live-test` | |
| If installed properly, this script will i) create a temporary folder ii) download the full_dog model from the [DeepLabCut Model Zoo](http://www.mousemotorlab.org/dlc-modelzoo), iii) download a short video clip of a dog, and iv) run inference while displaying keypoints. v) remove the temporary folder. | |
| Please note, you also should have curl installed on your computer (typically this is already installed on your system), but just in case, just run `sudo apt install curl` | |