cuda stream

[whuzs]

cuda stream

[koide3]

Ah, it should be a bug. Fortunately, recent versions of thrust perform for_each in a synchronized way (regardless of the use of streams), and this does not affect programs on a recent version of CUDA. Anyways, I'll push a fix soon.

[JACKLiuDay]

Ah, it should be a bug. Fortunately, recent versions of thrust perform for_each in a synchronized way (regardless of the use of streams), and this does not affect programs on a recent version of CUDA. Anyways, I'll push a fix soon.

Hi, thank you for your work about fast gicp, I am trying to use it on my Nvidia jetson NX board. Does this fast gicp project support for Nvidia jetson board?

[whuzs]

Nvidia jetson NX

i run it successfully in orin and Xavier

[JACKLiuDay]

Hi, thank you for your quick reply. You mean you run it successfully on Orin and AGX xavier? That is a good news to me. I just have a AGX xavier. And I will try it on the AGX xavier. Could you tell which jetpack you use? I just tried jetpack5.1 on NX and it did not work.

[whuzs]

Orin(JetPack5.0.2.3,other default) and MIIVII Apex Xavier(default), maybe you cak take a look at #107

[JACKLiuDay]

Orin(JetPack5.0.2.3,other default) and MIIVII Apex Xavier(default), maybe you cak take a look at #107

Hi, thank you for your advice. I just looked at #107, it looks like the fix had been merged to the project master code. But my NX board still can not run gicp_kitty with fastvgivpcuda. It shows identity matrix when run gicp_kitty with fastvgicpcuda.

[JACKLiuDay]

@whuzs @koide3 Hi, I just tried fast_gicp project on AGX Xavier with jtpack5.1.1. I changed the align method with fastvgicpcuda. When I run the fast_gicp with gicp_kitti code. The result shows correct at first. Then it shows nan nan nan all the time. Could you give me some advice. Something wrong caused by arm64?

[PigBroA]

@JACKLiuDay I think you should check out whether there are nan(of inf) value in target or source cloud. you can use pcl::removeNaNFromPointCloud to remove them.