186 Open source projects that are alternatives of or similar to segRetino

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Catalyst.Segmentation

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ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

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CRF-RNN Keras/Tensorflow version

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RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

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

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

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

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

CVPR 2021 论文和开源项目合集

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

U-Net: Convolutional Networks for Biomedical Image Segmentation

video stabilization: stabilize the videos which is taken from wavering camera. Image mosaicing: stitches multiple, overlapping snapshot images of a video together in order to produce one large image.

Medical image processing in Python

Automatic detection of plant diseases

Neural networks training pipeline based on PyTorch

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋

Sky area detection without deep neural networks https://maybeshewill-cv.github.io/sky-detector/

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Deeplab for semantic segmentation tasks

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OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

MATBOX is an open-source MATLAB toolbox dedicated to microstructure analsyis of porous/heterogeneous materials

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

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

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HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

Tensorflow implement of U-Net

Code for the Lovász-Softmax loss (CVPR 2018)

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

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Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

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.