alexanderbaumann99/s3m

Implementation of MICCAI'23: S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences

s3m's Issues

np.int error

Dear all,

I am getting the following error:

AttributeError: module 'numpy' has no attribute 'int'. np.intwas a deprecated alias for the builtinint. To avoid this error in existing code, use intby itself. Doing this will not modify any behavior and is safe. When replacingnp.int, you may wish to use e.g. np.int64ornp.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

I am running it with py39, pytorch 2.3.0 (dgl package is not compatible with pytorch 2.30) and cu121. Could you help? Thanks

Best

pmf function

Hi,
thanks to your great work, I am just copy the pmf code and use it in refinement of the example code of PyFM, it seems the code doesnt work.

do you have any suggestions for testing this function correctly?

many thanks in advance
lei

Reproducibility issues

Hi there,

I really appreciate the concepts behind your work. However, I'm having trouble replicating the results. I've executed the code on three different datasets, including the manually labeled thyroid dataset, the heart dataset, and our in-house calcaneum dataset. Initially, I suspected issues with configuring the training settings, but even when using the provided config file for the thyroid dataset, I'm encountering problems.

None of the datasets seem to show correspondence in the corres_verts.npy or .mat files using the "y2x_pmf" key. To investigate further, I checked the mean shapes of the Statistical Shape Models (SSMs) generated by the run_evaluation file. Surprisingly, the mean shapes consistently resemble what appears to be a random point cloud, as shown below for the thyroid dataset:

Example of the mean shape obtained using the thyroid dataset:

This suggests a lack of correspondence. I'm curious if you have any insights into what might be going wrong or if similar issues have been encountered before.

Thanks in advance,
Roel

Data

Hi,

Thank you for uploading the reproducibility section for thyroid. Is there a similar link to heart dataset?

thank you