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View Code? Open in Web Editor NEWA Python toolbox to quantify facial and bodily movement in headfixed mice.
License: GNU Lesser General Public License v3.0
A Python toolbox to quantify facial and bodily movement in headfixed mice.
License: GNU Lesser General Public License v3.0
Computational demands on CPU and GPU (memory) are relatively low, so multiple videos could also be processed in parallel, massively speeding up batch completion.
Currently, DeepGraphPose seems incompatible with DLC2 / Tensorflow2.
Other developers have seem to found a solution: https://github.com/lnguyen/deepgraphpose/tree/upgrade
This will be tested and implemented.
Currently, labelling performance on some videos is suboptimal, especially if parts of the face (e.g., nose) are not well illuminated. Retraining the model with additional video data may help.
Include function to generate an interactive Napari plot of facial/body camera features including line plots of main extracted data
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