This script creates a dataset for multi-label mesh clasification, with an intentionally difficult setup for point cloud classification (by sampling / using mesh vertices).
Based on the MeshCNN Cube Engravings dataset.
This code was created based on scripts provided by Amir Hertz (original author of MeshCNN)
The .zip file contains 4k cube instances generated by the script, where each cube was engraved with 2 (not necessarily different) classes.
NoW Evaluation This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard e
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This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.
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MeshGraphormer ✨ ✨ This is our research code of Mesh Graphormer. Mesh Graphormer is a new transformer-based method for human pose and mesh reconsructi
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Mesh-Keys A repo that contains all the mesh keys needed for mesh backend, along with a code example of how to use them in python Have been seeing alot
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generate_cloud_points Given a 2D triangle mesh, we could randomly generate cloud points that fill in the triangle mesh. Run python disp_mesh.py Or you
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Divide and Remaster Utility Tools Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper The DnR d
hierarchical-multi-label-text-classification-pytorch Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach This
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