Comments (2)
I have been able to make some small changes to the code so that I no longer have the issue with duplicate cameras. However, I am still getting the same error with pytorch. Do you have any advice on what parameters need to be adjusted? A quick Google search indicated that I might have the wrong number of classes set, but I am not sure what they are referring to.
C:/cb/pytorch_1000000000000/work/aten/src/ATen/native/cuda/IndexKernel.cu:84: block: [1289,0,0], thread: [8,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed.
C:/cb/pytorch_1000000000000/work/aten/src/ATen/native/cuda/IndexKernel.cu:84: block: [1289,0,0], thread: [9,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed.
C:/cb/pytorch_1000000000000/work/aten/src/ATen/native/cuda/IndexKernel.cu:84: block: [1289,0,0], thread: [10,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed.
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Hi @verpeutlab. Check out Issue #62. I think the best solution would be to use one of the pre-trained 3 camera networks.
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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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