595 Open source projects that are alternatives of or similar to Torch Points3d

Implementation of the KinectFusion approach in modern C++14 and CUDA

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Satellite Imagery Feature Detection (68 out of 419)

CVPR 2020 papers focusing on point cloud analysis

Pure Numpy Implementation of the Coherent Point Drift Algorithm

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

HyperSeg - Official PyTorch Implementation

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

The U-Net Segmentation plugin for Fiji (ImageJ)

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

A segmentation engine for Django user models

Intel / AMD CPU Internals

Port of PragmaticSegmenter for sentence boundary detection

[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.

Example of semantic segmentation in Keras

3D LIDAR-based Graph SLAM

Some matlab code of Active Contour Model for image segmentation

PyTorch Implementation for Segmentation and Saliency Prediction

Python 3 library for analysis of neuroanatomical data

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

A robust laser stripe extraction method for structured-light vision sensing

Semantic3D segmentation with Open3D and PointNet++

PyTorch Connectomics: segmentation toolbox for EM connectomics

LiDAR fog simulation

TensorFlow implementation for the paper "Automated Deep Photo Style Transfer"

napari plugin for cellpose (see www.cellpose.org) - an anatomical segmentation tool

A curated list of awesome links and software libraries that are useful for robots.

[ACM MM 2022] You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

converts set of point clouds to a video using three.js

Simple linear iterative clustering (SLIC) in a region of interest (ROI)

A Kitti Road Segmentation model implemented in tensorflow.

RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation

A Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images

A unified environment for DNN-based automated segmentation of neuronal EM images

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

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

ETA: Extensible Toolkit for Analytics

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

My Implementation of the deeplab_v1 (known as deeplab large fov)

Stemmer for German

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Paper list of deep learning on point clouds.

Trainable models and NN optimization tools

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Visual SLAM system that can identify and exclude dynamic objects.

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

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

Medical image segmentation ( Eye vessel segmentation)

Applying the 100 Layer Tiramisu on the Camvid Dataset

R package for airborne LiDAR data manipulation and visualisation for forestry application

Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019