Blown away by how well #DeepLabCut works. Completely random frame selection + overnight model training resulted in a tracker capable of following multiple whiskers simultaneously across different imaging planes, even during overlap.pic.twitter.com/ar9sSwPz4v
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I used Google's cloud ML engine for the model training step, which required some adaptation of the original code. Maybe useful for those without access to local GPUs for continuous training:https://github.com/RoboDoig/dlc-cloudml …
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