484 Open source projects that are alternatives of or similar to PyTorch-UNet

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

Segmentation models with pretrained backbones. PyTorch.

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

BCDU-Net : Medical Image Segmentation

Lung fields segmentation on CXR images using convolutional neural networks.

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

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

A concise code for training and evaluating Unet using tensorflow+keras

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

Paper and implementation of UNet-related model.

3D Unet Equipped with Advanced Deep Learning Methods

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

Patch-based 3D U-Net for brain tumor segmentation

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Tunable U-Net implementation in PyTorch

《深度学习与计算机视觉》配套代码

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

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

unet for image segmentation

Evaluation framework for testing segmentation networks in Keras

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Tensorflow implementation : U-net and FCN with global convolution

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

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A tool for running deep learning algorithms for semantic segmentation with satellite imagery

keras implementation of unet plus plus

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

Open solution to the Data Science Bowl 2018

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

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

Combining Faster R-CNN and U-net for efficient medical image segmentation

Semi-Supervised Video Object Segmentation(VOS) Paper List

Line Segmentation of Handwritten Documents using the A* Path Planning Algorithm

This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.

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

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

Segmentation of 3D shapes in a common anatomical space

core code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling

Bayesian Segmentation of Spatial Transcriptomics Data

exudates detection using hybrid approach (Image Morphology & Machine Learning)

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

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

A deep-learning pipeline for segmentation of ambiguous microscopic images.

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Fast English word segmentation in Rust

Depth estimation from RGB images using fully convolutional neural networks.

Resurces for MRI images processing and deep learning in 3D

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

Stemmer for German

Distributed segmentation for bio-image-analysis

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python

CNN implementation for medical X-Ray image segmentation

Image registration using pytorch

Rectangle detection using the Hough transform

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

Multi-Scale Context Aggregation by Dilated Convolutions in Keras.

This program detect and identify obstacle on railway. If program detect some obstacle that train must stop, program gives you warning sign. This program Also estimate riskiness of obstacle how it is negligible or not. We provide many models to you to detect railways and obstacles.