"This an example notebook for training DeepPoseKit models with DeepLabCut (http://www.deeplabcut.org) formatted data. This notebook shows you how to use the [openfield example dataset](https://github.com/AlexEMG/DeepLabCut/tree/master/examples/openfield-Pranav-2018-10-30) from Mathis et al. (2018) to train a deep learning model using data augmentation and callbacks for logging the training process and saving the best model during training.\n",
"Be sure to [cite the DeepLabCut toolbox](https://github.com/AlexEMG/DeepLabCut/tree/master/README.md#references) if you use it for your research.\n",
"**NOTE**: This example currently only supports basic functionality from DeepLabCut (no cropping, etc.). It assumes each image contains a single individual (or multiple individuals are labeled as separate keypoints) and assumes all images are the same size/resolution. If you run into problems, you can help us improve DeepPoseKit by [opening an issue](https://github.com/jgraving/deepposekit/issues/new) or [submitting a pull request](https://help.github.com/en/articles/creating-a-pull-request-from-a-fork)\n",
"**If you're using Colab**: make sure to go to the “Runtime” dropdown menu, select “Change runtime type” and select `GPU` in the \"Hardware accelerator\" drop-down menu\n"