Comments (2)
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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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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Related Issues (20)
- Zero training/validation errors but completely wrong in labeled images. HOT 2
- How to train DANNCE with more than 6 cameras? HOT 1
- COM deviate a lot from animal HOT 2
- When running dannce-predict demo script, GPU usage is at 0% HOT 1
- Integration of DANNCE and CAPTURE HOT 1
- Could not find enough inliers in imagePoints and worldPoints HOT 2
- n_views error HOT 1
- dannce-predict loss very small, but result same like normal but shift HOT 6
- Re-train network with new labeled frames HOT 1
- Multi animal COM HOT 2
- how to use rats16.mat skeleton for CAPTURE_demo analysis HOT 1
- calibration HOT 1
- OOM error HOT 2
- File "E:\anaconda\envs\tfnew_25\lib\site-packages\tensorflow\python\framework\ops.py", line 6649, in __init__ raise ValueError("name for name_scope must be a string.") HOT 1
- ValueError: name for name_scope must be a string when doing dannce-predict. HOT 1
- ValueError: bad marshal data (unknown type code) when dannce-predict HOT 1
- frames_with_good_tracking
- Fintune with more than 6 cams HOT 2
- Bad predict result after finetune
- Use dannce_predict on own data
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