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@salehjg salehjg released this 12 Sep 16:02
· 35 commits to master since this release

Sample data to run the project with. It contains trained weights and raw samples (with labels) for the two datasets discussed in our paper ( ModelNet40 and ShapeNet V2 Core).

The conversion from mesh to point cloud for ShapeNet V2 Core is done using our opensource utility and its python script.

The learning model is trained using Tensorflow 1.x on an Nvidia GTX1070. To accelerate the training procedure of the model on ShapeNet V2 Core, the weights of the trained model for ModelNet40 have been used as the initial values.

Please unzip the archive into data/.