liuchangji

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@eunseon02 Hi, did you solve your tracking problem and if you solved it how you did?

在predict.py中添加 `MetadataCatalog.get("fruits_nuts").thing_classes = ["date", "fig", "hazelnut"]`

Such kind of non-unique object has infinitely many solutions. So you need to do a post-processing after getting results from foundationPose. For example, temporal filter.

Did you solve it?I meet the same problem.

> I found it useful to put the tensor on the CPU before using `kornia.geometry.transform.warp_perspective`, but it would increase the computation time. I actually want to know the minimum amount...

As so far your CAD model has no color texture.