6342 Open source projects that are alternatives of or similar to Human Segmentation Pytorch

Develop production ready deep learning code, deploy it and scale it

3D U-Net model for volumetric semantic segmentation written in pytorch

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

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.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

BCDU-Net : Medical Image Segmentation

Deep learning applied to georeferenced datasets

unet for image segmentation

Tensorflow implementation : U-net and FCN with global convolution

项目注释+论文复现+算法竞赛

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

A semantic segmentation toolbox based on PyTorch

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

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

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

An awesome semantic segmentation model that runs in real time

Kaggle Data Science Bowl 2018

Simplest and fastest image and text annotation tool.

코딩셰프의 3분 딥러닝, 케라스맛

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

The implementation of 3D-UNet using PyTorch

Segmentation models with pretrained backbones. PyTorch.

2D and 3D UNet implementation in PyTorch.

tensorflow version of unet

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

End-to-end image segmentation kit based on PaddlePaddle.

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

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

Satellite Image Classification using semantic segmentation methods in deep learning

An out-of-box human parsing representation extractor.

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Cell Detection with PyTorch.

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

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

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

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

FC-DenseNet in PyTorch for Semantic Segmentation

A Python module for computing the Structural Similarity Image Metric (SSIM)

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.

Semantic Scene Completion from a Single Depth Image

The code of book: Python Scraping

Semantic Segmentation Architectures Implemented in PyTorch

Image Captioning using InceptionV3 and beam search

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.