458 Open source projects that are alternatives of or similar to Pointnet_pointnet2_pytorch

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

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Deep face segmentation in extremely hard conditions

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

PyTorch Boilerplate For Research

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

unet for image segmentation

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

High-performance Vision library in Python. Scale your research, not boilerplate.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首等功能

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

一个纯php分词

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

SOTA medical image segmentation methods based on various challenges

Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io

A Japanese Tokenizer for Business

A Thai word tokenization library using Deep Neural Network

A procedural Blender pipeline for photorealistic training image generation

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

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.

Segmentation models with pretrained backbones. PyTorch.

loam code noted in Chinese（loam中文注解版）

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Open3D: A Modern Library for 3D Data Processing

Pytorch implementation of convolutional neural network visualization techniques

[ECCV'20] Ocean: Object-aware Anchor-Free Tracking

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

FSGAN - Official PyTorch Implementation

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

Add bisenetv2. My implementation of BiSeNet

Semantic Human Matting

Intel / AMD CPU Internals

Github repository for the paper End-to-end Animal Image Matting

Medical image preprocessing and augmentation toolkit for deep learning

CNN-based audio segmentation toolkit. Allows to detect speech, music and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

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

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

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

LiDAR SLAM: Scan Context + LeGO-LOAM

快速中文分词分析word segmentation

BCDU-Net : Medical Image Segmentation

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

ICCV2019最新录用情况

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

Pytorch code for semantic segmentation using ERFNet

Self-contained Japanese Morphological Analyzer written in pure Go

DilatedNet in Keras for image segmentation

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

End-to-end, automatic face swapping pipeline

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

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN