Comments (3)
spoonsso
commented on July 17, 2024
great idea. I can get on this and other refactoring soon. I have a big commit coming...
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diegoaldarondo
commented on July 17, 2024
Related note, config variables specifying the model or loss function should specified as
net: model_name
loss: loss_name
rather than
net: nets.model_name
loss: losses.loss_name
The latter causes problems with the params['net'] = getattr(nets, params['net']) imports in the scripts.
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spoonsso
commented on July 17, 2024
configs are now yaml
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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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