Comments (4)
Can you explain a bit more about what is going wrong? So your intrinsic calibration is working well it seems -- since you say that the checkerboard points have low reprojection error? Is it the L-Frame extrinsic calibration that is failing? Are you getting to the point where you click on points on the L-Frame? If so, what do the L-Frame reprojections look like?
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Yes, I am at that part where I am clicking on the points on the L-Frame. I am able to add four points to the L-Frame image from each camera, but after I add the final point on the image that corresponds to the last camera, the code stops and I get an error message.
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Can you please post your full error message here? I can help resolve the issue.
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@verpeutlab closing for now. Happy to help if you provide the full error message.
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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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