Comments (2)
The easiest is to work out a target configuration where you can see a common set of points. We use the LFrame for this, meaning even cameras that dont have a good view of the entire floor can still see the same points as the other cameras. If you are using the checkerboard, can you move the cameras in such a way that they can all see the checkerboard on the floor?
Have you tried using the anipose calibration workflow? It should be able to calibrate bot the extrinsics and intrinsics from videos of moving your checkerboard around your field of view (although ideally it should be a ChArUco board). https://anipose.readthedocs.io/en/latest/
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yes, I use the aniposelib to calibrate. the result format is different from that in matlab. The rotation is 3x1 which does not match dannce.
Do you think it should be a problem to use the aniposelib in dannce?
Thank you very much.
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Related Issues (20)
- COM prediction values are NaN HOT 3
- Could not load weights for finetune (likely because you are finetuning a previously finetuned network). Attempting to finetune from a full finetune model file. HOT 18
- 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
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