dredwardlee Goto Github PK
Type: User
Bio: Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China.
Location: Nanjing, China
Type: User
Bio: Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China.
Location: Nanjing, China
Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
The path operator project
We have published two new pavement crack image dataset, named Cics Dataset and Leis Dataset.
In this repository, two types of robust multi-scale anisotropy features, namely PCmPA and PCmFFA, that considering the local contextual information of curvilinear structures are extracted from phase congruency maps for the effective discrimination of isotropic structures and curvilinear structures.
Papers with code. Sorted by stars. Updated weekly.
Implementation of UNet as used in SceneNet RGB-D paper
《Pytorch模型训练实用教程》中配套代码
This code implements a red lesion detection method based on a combination of hand-crafted features and CNN based descriptors. Our paper is under revision now, so please do not use this repository until we release the paper.
A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.
Keeping roads in a good condition is vital to safe driving. To monitor the degradation of road conditions is one of the important component in transportation maintenance which is labor intensive and requires domain expertise. Automatic detection of road damage is an important task in transportation maintenance for driving safety assurance. The intensity of damage and complexity of the background, makes this process a challenging task. A deep-learning based methodology for damage detection is proposed in this project after being inspired by recent success on applying Deep- learning in Computer Sciences. A dataset of 9,053 images is taken with the help of a low cost smart phone and a quantitative evaluation is conducted, which in turn demonstrates that the superior damage detection performance using deep-learning methods perform extremely well when compared with features extracted with existing hand-craft methods. Using convolutional neural networks to train the damage detection model with our dataset, we use the state-of-the-art object detection method, and compute the accuracy and runtime speed on a GPU server. At the end, we show that the type of damage can be distinguished into eight types with acceptable accuracy by applying the proposed object detection method.
Submission for MoveHack Global Mobility Hackathon 2018
Detection of straight line segments (rods) in noisy images
Ranking Operator Response of Path Openings
Salient Object Detection: A Benchmark
Ongoing effort of developing a single image highlight removal method
Selective Multi-Source Total Variation Regularisation
Road Network Extraction
Piotr's Image & Video Matlab Toolbox
Fluid flow solver for vessel trees. Suitable for modelling blood flow in simplified models of the pulmonary vasculature.
TREES toolbox
2D and 3D versions of Tubularity Flow Field
Pytorch implementation of the paper "Deep Neural Network for Multi-Organ Segmentation with Higher Accuracy and Lower Complexity"
Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation
Matlab code (ver. 1.0) for the Vessel Correspondence Optimization method, presented at MICCAI 2016
Lung vessel segmentation based on random
A robust fish detection model for real-time underwater fish detection in any marine environments.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.