601 Open source projects that are alternatives of or similar to torch-points3d

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

A lean C++ library for working with point cloud data

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Papers and Datasets about Point Cloud.

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Pytorch framework for doing deep learning on point clouds.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Semantic3D segmentation with Open3D and PointNet++

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Grid-GCN for Fast and Scalable Point Cloud Learning

3D Graph Neural Networks for RGBD Semantic Segmentation

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Keras implementation for Pointnet

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

TF2 implementation of PointNet for segmenting point clouds

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

Aligns text (lyrics) with monophonic singing voice (audio). The algorithm uses structural segmentation to segment the audio into structures and then uses hidden markov models to obtain alignment within segments. The final alignment is concatenation of time stamps of lyrics within the segments for each song.

This is the official repository of the open-source Open Infra Platform software (as of April 2020).

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

OpenMMLab Model Compression Toolbox and Benchmark.

Cylinder and Plane Extraction from Depth Cameras

A Python toolbox for computer vision research and project

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

The PyTorch Implementation of F-ConvNet for 3D Object Detection

Implementation of our AAAI'22 work: 'UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer'.

Advanced Normalization Tools in R

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

Learning Convolutional Transforms for Point Cloud Geometry Compression

Road Detection from satellite images using U-Net.

Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

Implementation of Basic Digital Image Processing Tasks in Python / OpenCV

This repository contains the code for our fast polygonal building extraction from overhead images pipeline.

Satellite Imagery Feature Detection (68 out of 419)

No description or website provided.

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea

A basic framework for pulmonary nodule detection and characterization in CT

Open3D PointNet implementation with PyTorch

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

Invariant Superpixel Features for Object Detection

This is an unofficial implemention of LEDNet https://arxiv.org/abs/1905.02423

Visual SLAM system that can identify and exclude dynamic objects.

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Official PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)

Machine Learning Project to identify an ID Card on an image

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Brain vessel segmentation using 3D convolutional neural networks

MONAI Label is an intelligent open source image labeling and learning tool.

Rust algorithms for isosurface extraction

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving