210 Open source projects that are alternatives of or similar to DeepSegmentor

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.

A PyTorch collection of semantic segmentation tools.

RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth, in ICCV 2021 (oral)

Robotic simulation in Unity with ROS integration.

A small TensorFlow project created to test some machine learning problems

2021年计算机视觉技术综述分类汇总

No description or website provided.

📚 A collection of edge/contour/boundary detection papers and toolbox.

Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation

An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

Analyzed Google Satellite images to generate a report on individual house rooftop's solar power potential

Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Real time instance segmentation with Mask R-CNN, live from webcam feed.

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Keras BiseNet architecture implementation

deep learning edge detector based on U-net and BSDS 500 dataset

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

A list of papers and datasets about natural/color image segmentation (processing)

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

Official Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)

Edge-detection application with PointCloud Library

Example of Canny edge detection algorithm in javascript

DICOM Image Segmentation with CNNs in Tensorflow

Crack Detection On Highway Or Pavement Using OpenCV

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

This repository includes all Basic Algorithms related to image Processing, these are almost without Build-in Functions

Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

Library for processing and manipulating images.

Multi-modal Image Registration And Connectivity anaLysis

Table Detection using Deep Learning

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

This repo contains customized deep learning models for segmenting cracks.

Prostate MR Image Segmentation 2012

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

Code for FOCAL Paper Published at ICLR 2021

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

HED real-time iOS edge detector.

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

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.

Code for binary segmentation of cloths

A service to auto-generate masks for image segmentation

Convolution and other super-patches (blur, sharpen)

Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018

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

Project of computational mathematics, image processing, eliminating the noise of an image, reflection of an image and canny filter

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

Tiny Image in Javascript - Edge Detection Algorithms

Joint Semi-supervised Learning of Image Registration and Segmentation

Aiding the visually impaired through real time augmented reality, AI object detection, WebGL shaders effects such as edge detection, and colour adjustments.

Computer Vision Essentials in Python Programming Language 🎉