Yutong Feng

Currently, we use a modified version of [Fast-Quadric-Mesh-Simplification](https://github.com/sp4cerat/Fast-Quadric-Mesh-Simplification) to do this work. But the results is not satisfying. Except the bad cases you mentioned in #3 , there are also...

@martinmCGG We now recommend you to use the toolbox from MeshLab and here is an example that simplifies a model with 3180 faces to 1024 faces, using the implemented "Simplification:...

We have updated a version based on the better simplifed Manifold40 (watertight mesh with 500 faces of ModelNet40), which helps us to achieve better performance. I will leave this issue...

Yes, there is no prediction for any label. Actually, I print out the classification score and find all frames are predicted as the background label. The loss is continually decreasing...

@bfshi It does not work to set the flag to False. Is it possible that some packages are installed in different versions from the `requirements.txt`?

MeshNet handle model with a maximum number of faces (1024). For those with less than 1024 faces, we simply append the face list with zero values. For those with more...

The pre-trained model can be downloaded from [here](https://drive.google.com/file/d/1dPJo2maIZijCsUlwOeV0WPb83KbGhiY4/view?usp=drive_link). Sorry for the late reply. @mertyigit @JodieW1777

We upload a new one here: https://drive.google.com/file/d/1dPJo2maIZijCsUlwOeV0WPb83KbGhiY4/view?usp=drive_link