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spoonsso avatar spoonsso commented on August 16, 2024

Sorry for the delay, I have been traveling. We have not tested scale invariance systematically, but if you design the 3d bounding box for each condition such that the animals are described by a similar number of boxes, then I would expect to see reasonable generalization across conditions. For instance, say the adults are 2x as big as the youth and you use a 3d bound box that is 600 mm per side for the adults (set via the vol_size variable, then if you set the box to 300 mm for the youth your image features will be the same size in terms of voxels (which is all that the network learns about).

The problem is that dannce currently doesn't support combining different sized volumes during training -- so if you wanted to combine labels across adults and youth you would either need to request an update (or help us implement it :-)) or get creative with your image resolution and/or calibration.

Dannce prediction does support using different volume sizes, however. So if you were to train over only the adults and wanted to test on the youths using a proportionally smaller volume, you could.

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spoonsso avatar spoonsso commented on August 16, 2024

As for the vibration tracking, you would most likely need to train a separate dannce network to do this because the network tracking your animal assembles a 3d volume tightly enclosing your animal. Unless your arena is super tiny, the arena corners will typically not be inside this volume.

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