Note, this can be anywhere, even downloads is fine) (or you can grab from github: git clone this repo (in the terminal/cmd program, while in a folder you wish to place DeepLabCut (A) Click HERE to download the conda file! Deeplabcut without the GUIs can be installed with pip install deeplabcut. Note, DeepLabCut is up to date with the latest CUDA and tensorflow versions!ĭIY: For the experts that want DLC in a different custom environment, it’s also on pypi, simply pip install 'deeplabcut' (and have Tensorflow and wxPython also installed) for DeepLabCut + GUI. So, please check “GPU Support” below carefully. Please note, which CUDA you install depends on what version of tensorflow you want to use. GPU? If you want to use your own GPU (i.e., a GPU is in your workstation), then you need to be sure you have a CUDA compatible GPU, CUDA, and cuDNN installed.
#DOCKER FOR MAC GPU FOR FREE#
You first need to decide if you want to use a CPU or GPU for your models: (Note, you can also use the CPU-only for project management and labeling the data! Then, for example, use Google Colaboratory GPUs for free (read more here and there are a lot of helper videos on our YouTube channel!).ĬPU? Great, jump to the next section below!
Step 2: Easy install: please use our supplied Anaconda environments ¶
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