Comments (2)
Hm, these are the array dimensions that work for us. The 4 x 3 is for 4 points w/ 3-D coordinates, and the 4 x 2 is for those 4 points but their corresponding 2-D pixel locations. The error you're getting sounds more like the initial pose fit is not converging -- what is the value of your wolrdOrientation{kk}?
If the pose fit in estimateWorldCameraPose is not working, it's likely that your intrinsic parameters were not fit well in at least 1 camera -- what is your reprojection error on the checkerboard movies? Or potentially your measured, physical LFrame 3D coordinates are off -- have you updated the 3-D LFrame coordinates to match the dimensions of your own LFrame?
@jessedmarshall have you encountered this error before?
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Thank you for this information! I have been able to get the calibration code to work, but I will let you know if I run into issues when I take a calibration at a later time.
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Related Issues (20)
- camera angle for calibration HOT 2
- calibration steps using matlab and aniposelib
- COM label3D HOT 3
- Dannce-train error and video sync problem HOT 11
- How to train and predict the MAX network instead of AVG. HOT 4
- 3-camera COM weight network before finetune. HOT 1
- 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 1
- Could not find enough inliers in imagePoints and worldPoints HOT 2
- multiple camera caliration HOT 2
- 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
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