All Projects → wkentaro → label-fusion

wkentaro / label-fusion

Licence: MIT License
Volumetric Fusion of Multiple Semantic Labels and Masks

Programming Languages

C++
36643 projects - #6 most used programming language
python
139335 projects - #7 most used programming language
CMake
9771 projects
shell
77523 projects

Projects that are alternatives of or similar to label-fusion

3D-UNet-PyTorch-Implementation
The implementation of 3D-UNet using PyTorch
Stars: ✭ 78 (+333.33%)
Mutual labels:  semantic-segmentation, 3d-segmentation
RandLA-Net-pytorch
🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Stars: ✭ 69 (+283.33%)
Mutual labels:  semantic-segmentation, 3d-vision
awesome-point-cloud-deep-learning
Paper list of deep learning on point clouds.
Stars: ✭ 39 (+116.67%)
Mutual labels:  3d-vision, 3d-segmentation
LoveDA
[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Stars: ✭ 111 (+516.67%)
Mutual labels:  semantic-segmentation
EgoNet
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
Stars: ✭ 111 (+516.67%)
Mutual labels:  3d-vision
cluster tools
Distributed segmentation for bio-image-analysis
Stars: ✭ 26 (+44.44%)
Mutual labels:  3d-segmentation
pointnet2 semantic
A pointnet++ fork, with focus on semantic segmentation of differents datasets
Stars: ✭ 69 (+283.33%)
Mutual labels:  semantic-segmentation
object nerf
Code for "Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering", ICCV 2021
Stars: ✭ 135 (+650%)
Mutual labels:  3d-vision
HugsVision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Stars: ✭ 154 (+755.56%)
Mutual labels:  semantic-segmentation
HoHoNet
"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.
Stars: ✭ 65 (+261.11%)
Mutual labels:  semantic-segmentation
lowshot-shapebias
Learning low-shot object classification with explicit shape bias learned from point clouds
Stars: ✭ 37 (+105.56%)
Mutual labels:  3d-vision
SimpleView
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Stars: ✭ 95 (+427.78%)
Mutual labels:  3d-vision
Grapy-ML
(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
Stars: ✭ 50 (+177.78%)
Mutual labels:  semantic-segmentation
DLCV2018SPRING
Deep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (+111.11%)
Mutual labels:  semantic-segmentation
SAComputerVisionMachineLearning
Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program
Stars: ✭ 36 (+100%)
Mutual labels:  semantic-segmentation
CurveNet
Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021
Stars: ✭ 94 (+422.22%)
Mutual labels:  3d-vision
DST-CBC
Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Stars: ✭ 98 (+444.44%)
Mutual labels:  semantic-segmentation
building-footprint-segmentation
Building footprint segmentation from satellite and aerial imagery
Stars: ✭ 26 (+44.44%)
Mutual labels:  semantic-segmentation
pyconvsegnet
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 32 (+77.78%)
Mutual labels:  semantic-segmentation
Trending-in-3D-Vision
An on-going paper list on new trends in 3D vision with deep learning
Stars: ✭ 42 (+133.33%)
Mutual labels:  3d-vision

label-fusion: Volumetric Fusion of Multiple Semantic Labels

C++ code to fuse multiple object labels or mask into OctoMap, which can be then used for 3d reconstruction of objects. It works with and without depth inputs, so can be applied for depth insensible objects: texture-less (for stereo), black (for ir), and transparent.

Requirements

Installation

git clone https://github.com/wkentaro/label-fusion.git
cd label-fusion
./build.sh

Demo

Fusion of multiple labels

./demo.py label_view  # see inputs
./demo.py label_fusion
./demo.py label_fusion --depth  # use depth

Fusion of multiple masks

We also support fusing multiple masks:

./demo.py mask_view  # see inputs
./demo.py mask_fusion
./demo.py mask_fusion --depth  # use depth

License

MIT License (see LICENSE file).

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].