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YuePanEdward avatar YuePanEdward commented on June 15, 2024

Thanks for your interest on our work.

I suppose the first evaluation result you showed is generated using the mai_city_block.ply file in the gt_models folder. This is the model used for simulation in Carla and there's a shift between the model's and the point cloud's coordinate system. It's the reason why the evaluation results seem to be completely wrong.

We used the gt_map_pc_mai.ply point cloud file as the reference, which should be corresponding to the second evaluation result you showed. The difference between what you showed and what we reported in the paper is caused by different parameter settings. In the paper, different from the default parameter setting in the open source config file, we used the 10cm leaf_vox_size, 50m pc_radius_m and with ekional loss on. Additionally, as mentioned in the paper, we use a fairer accuracy metric by taking the ground truth point cloud masked by the intersection of the reconstructed meshes of all the compared methods.

The reconstructed mesh and the cropped intersection reference point cloud can be downloaded from here. You can use them to get the similar results as reported in our paper.

Thanks.

from shine_mapping.

HelloXiaoZHU avatar HelloXiaoZHU commented on June 15, 2024

Hi, I run your evaluation code using the meshes you provided. And I get the great results.

This is using gt_map_pc_mai.ply as the reference.
)9HY%9F X1VD_3VLZWZ~S0Q

And this is using the cropped intersection reference as the reference.
SQAG7@CBZJ4%S B @Y{MU

The results are better than the paper results. But I still wonder why it is not same as paper results. Is it effected by the version of open3d or any other thing?
In my conda env , the version of open3d is 0.10.0.0

from shine_mapping.

HelloXiaoZHU avatar HelloXiaoZHU commented on June 15, 2024

I know the computation of evaluation metrics have some randonness, and the result is right. Sorry to bother.

from shine_mapping.

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