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Hi lineax community,
I came from Patrick's comment (https://github.com/google/jax/discussions/17203#discussioncomment-6814678). I believe `PyTreeLinearOperator` will do the job but am struggling to…
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The package `jaxlie`, a dependency of `cryojax` seems to have a way of doing pose estimation: example here, https://github.com/brentyi/jaxlie/blob/master/examples/se3_optimization.py, `jax.grad` wrapp…
mjo22 updated
10 months ago
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Hello Mr. Schmidt,
Thank you for you blog about how to calibrate the accelerometer, it really helped me to understand things I didn't know before. https://chionophilous.wordpress.com/2011/08/26/acc…
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see also #3270
Dropping outliers or hard rejection weights is one of the easiest way to get high efficiency after using a high breakdown estimator in an initial stage. We can do the reweighting for…
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### System Information
OpenCV master.
Operating System / Platform: macOS 11.7
Compiler & compiler version: Apple clang version 12.0.0
### Detailed description
Fisheye calibration was succes…
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https://github.com/RainerKuemmerle/g2o/blob/a0585942a9e1a7255aa7c43452fd5fb2a8b869a4/g2o/solvers/eigen/linear_solver_eigen.h#L118
About computemaginals method：
My understanding is: the last optimi…
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# Adding an optimization module
For now, Tensorly (TL) ships with one API for each particular tensor decomposition model. While this has the advantage of simplicity for the end-user, this limits the …
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Hello,
I came across this project when I was looking for a tool for modeling magnetic fields. I am just starting to get acquainted with this area, and I had questions regarding the solution of the in…
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Hey,
Thank you for the implementation.
From the guide, I saw that I have to register loss functions to be able to use K-FAC.
For my specific case, the loss function is a FEM simulation on the o…