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Segmentation fault. Seems like error within ceres.solver #71
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What is your gcc version? |
My gcc version is 5.4.0. |
I have another question. Why do you calculate scipy.linalg.sqrtm(covariances) as the weights. In the paper, the covariances are used to compute the uncertainty objective function directly. |
@liuyuan-pal Thanks a lot! |
@pengsida I use scipy.optimize.leastsq to replace ceres. I think it will sacrifice some speed but the code will be simpler. |
Hi, there is a problem I can not solve, which I have tried two days.
The training process running as expected, but when eval the network, specifically, when calling the function evaluator.evaluate_uncertainty(), a 'Segmentation fault' error will arise. I use gdb to debug the code. It seems something error within the ceres solver. But I have try to recompile the ceres.
My gpu is RTX, so I use pytorch1.* as you recommend. And I can use all module in this repo except the uncertainty_pnp function.
I hope you can give me some advice.
The gbd information is as below:
The stack:
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