The data directory of repository is excluded from the git repository in order to separate
the binary files from the code history. The compressed archive of the data directory could be found
at the repository's release page. Please unzip the archive into data/.
As discussed in our paper, two datasets are used to evaluate our project.
The model is trained using Tensorflow 1.x on
an Nvidia GTX1070. To accelerate the training procedure on ShapeNet V2 Core, the trained weights
for ModelNet40 have been used as the initial values.
This dataset contains 40 CAD object classes and the samples for evaluation are stored as separate data and label numpy files (*.npy).
Unlike ModelNet40, ShapeNet is consisted of 55 CAD objects offered in Mesh format (*obj).
The mesh to point cloud conversion for ShapeNet V2 Core is done using our opensource utility and its python script.