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Visualize 3D Point Clouds
3D segmentation and example point clouds using different hyperparameters for a sparse convnet
Created on June 3|Last edited on June 4
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Computing group metrics from first 10 groups
predictions
y
Featured Report
This report is a saved snapshot of Nick's research. He's published this example so you can see how to use W&B to visualize training and keep track of your work. Feel free to add a visualization, click on graphs and data, and play with features. Your edits won't overwrite his work.
Project Description
The goal of this model is to take input of a point cloud representing a real world object and provide segmentation of the object into different parts. Semantic segmentation is a foundational problem of computer vision and has applications from self driving cars to medical diagnoses
Sweep: 2jt716r2
109
Run set 1
55
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