Segmentation Open Source Projects

结巴中文分词

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

deep learning for image processing including classification and object-detection etc.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Image augmentation for machine learning experiments.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Unsupervised text tokenizer for Neural Network-based text generation.

Segmentation models with pretrained backbones. PyTorch.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

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

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Pytorch implementation of convolutional neural network visualization techniques

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

All-in-One Development Tool based on PaddlePaddle

Go Open Source, Distributed, Simple and efficient Search Engine; Warning: This is V1 and beta version, because of big memory consume, and the V2 will be rewrite all code.

Gluon CV Toolkit

A collection of AWESOME things about domain adaptation

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

A simple, fully convolutional model for real-time instance segmentation.

unet for image segmentation

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Background Matting: The World is Your Green Screen

Segment Anything in High Quality [NeurIPS 2023]

A list of papers and datasets about point cloud analysis (processing)

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

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

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

A procedural Blender pipeline for photorealistic training image generation

Visual tracking library based on PyTorch.

Accelerated deep learning R&D

Efficient vision foundation models for high-resolution generation and perception.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

ResNeSt: Split-Attention Networks

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Mask RCNN in TensorFlow

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

A paper list of lane detection.

Sandbox for training deep learning networks

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

Papers and Datasets about Point Cloud.

Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

Pytorch framework for doing deep learning on point clouds.

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

[IEEE TMI Best Paper Award] Official Implementation for UNet++

Project Page for "LISA: Reasoning Segmentation via Large Language Model"

Paper and implementation of UNet-related model.

Unofficial implemention of lanenet model for real time lane detection

Multi-platform, free open source software for visualization and image computing.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!