Some Questions about Metric Calculation and PU-GAN Dataset

[Cyprus-hy]

Hi, thanks for your work. While I have some questions about metric calculation and PU-GAN dataset. The first one is the hausdorff distance, your implementation here seems not consistent with the definition, which means it should be calculated as follow: hd_value = np.max(A, B) but not hd_value = np.max(A+B). I also check the code in PU-GAN (here) and DIS-PU (here), it seems you all calculate this metric mistakenly. The second is the point-to-surface distance, it seems that you only calculate the unidirectional point-to-surface distance here , but not the symmetrical point-to-surface and surface-to-point distance, just as chamfer distance. And I think the symmetric calculation is more convincing. The third is that I find the test set of PU-GAN dataset only contains mesh file, so does it mean each paper using PU-GAN dataset generates the input point cloud file and groundtruth point cloud file by their own? If so, how do you generate the input and groundtruth test pair for PU-GAN dataset? I also notice your PU1K dataset provide test point cloud file, but the loss of test point cloud file in PU-GAN really makes me confused. Thanks a lot, hope for your reply.

[guochengqian]

@Cyprus-hy
Really. This is serious. When i worked on this project, i just took the evaluation code from MPU and PU-GAN. I did not expect the evaluation metric to be wrong.

[guochengqian]

@Cyprus-hy For the third question about the dataset, please give me some time. I am currently working on other projects. It will some time for me to work on your questions. However, i will work it as soon as I can.

[hay-001]

@Cyprus-hy For the third question about the dataset, please give me some time. I am currently w
Hi, Did this question about Metric Calculation and PU-GAN Dataset be solved?