GraspNet and Pointnet2/PointNet++ PyTorch Upgrade (v1.7.1 -> v1.13.1)
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Updated
Jul 17, 2024 - Python
GraspNet and Pointnet2/PointNet++ PyTorch Upgrade (v1.7.1 -> v1.13.1)
Applying RandAugment on PointNet++
A pytorch implementation of PointNet and PointNet++
3D Eye Segmentation Track 1 OpenEDS 2021, Point Transformer and other CNN based models Implementation
Semantic segmentation of LIDAR point clouds from the KITTI-360 dataset using a modified PointNet2. This is a Python and PyTorch based implementation using Jupyter Notebooks.
In this Project, I implemented PointNet Research Paper using PyTorch. Dataset Used for train & test ModelNet10.
A pipeline for semantic segmentation, densification, and planar flattening for improving voxelization and mesh reconstruction quality of airborne LiDAR data.
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