Yochengliu/DensePoint
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
This is a tool for developers who work with 3D data. It helps train and evaluate machine learning models for tasks like classifying 3D shapes from raw point cloud data. You input 3D point cloud datasets, and it outputs a trained model that can identify different object categories or an evaluation of that model's accuracy. This is designed for researchers and engineers developing computer vision applications that process 3D spatial information.
118 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher developing systems that analyze and classify 3D object shapes from point cloud data, especially for academic research or proof-of-concept development.
Not ideal if you need a user-friendly application for direct 3D model classification without programming or if you are looking for production-ready, highly optimized solutions for embedded systems.
Stars
118
Forks
24
Language
Python
License
MIT
Category
Last pushed
Sep 30, 2021
Commits (30d)
0
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