Topic: DLC2Action

The assessment and quantification of human and animal behavior is essential for various applications in Neuroscience. Experts can accurately annotate complex behaviors, but doing so is a tedious and time-consuming task. Here we describe a Python toolbox, called DLC2action, that enables the automatic annotation of complex behaviors directly from videos, extracted poses and/or additional features such as deep video features, built on state-of-the-art deep-learning based action segmentation algorithms. We illustrate the capabilities of this open-source toolbox on a broad range of datasets for hum