Comments (5)
Committing soon to the refactor_imports branch with fully linted code. We should consider merging to master if you're ok with the file structure.
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Awesome, looks good. See the few comments I left.
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can we verify that run_undistort_opencv.py and undistort_COMS.m can be safely deleted? These files were initialize designed to deal with cases where the COMfinder net would crash without finalizing COM undistortion, because pre-opencv the undistortion was happening over all of save_data at the end of the script. Now that we are undistorting on the fly, the predict_COMfinder.py checkpoint behavior should be just to save the pickle file itself whenver there is a checkpoint. @ksseverson57
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Deleted these files and refactored COM checkpoints to not have to use any intermediaries
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Most of the dead code is now gone in v1.0.0. Although there may still be unused functions in ops.py
and processing.py
. However, these may be useful for future users.
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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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