Comments (3)
Hi @yuan0821
For training on custom data, you need both COM and DANNCE (keypoint) labels. So,
- As a first step, you will have to label the COM for a few frames and train the COM network on the labelled frames. Then, generate COM predictions - these COM predictions will be used in DANNCE training
- In the second step, you will have to label the desired set of keypoints, and train DANNCE network - this will create the label3d_dannce.mat file.
For the first step, you need to use the \Label3D\skeletons\com.mat
as the skeleton file. Check Label3D Readme for details on how to use it to label COM and keypoints.
For the second step, you need to use Label3D again to make a few labelled frames, and then train on those. If you are using rats, you can use the rat23.mat
skeleton. If you are using mice, you can use the following file: https://github.com/spoonsso/dannce/blob/master/configs/mouse22_skeleton.mat
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Hi, thanks for your reply. I still wonder where can I find the pre-trained 3-camera COM weight network before finetune. Thank you. Comments #62 has given the pre-trained 3-dannce weight, is it the same weight used in com-train and com-predict? Thank you!
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@yuan0821 the COM network works for any number of views -- frames are processed individually.
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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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