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Advanced lane detection using computer vision
A paper list of lane detection.
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C++那些事
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Jupyter notebooks for using & learning Keras
My study notes of deepLearning
Config files for my GitHub profile.
这是一个faster-rcnn的pytorch实现的库,可以利用voc数据集格式的数据进行训练。
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Implementation of Deep Image Homography Estimation (HomographyNet) by DeTone, Malisiewicz, and Rabinovich
Learning
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
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Spatial CNN for traffic lane detection (AAAI2018)
Udacity Self-Driving Car Engineer Nanodegree projects.
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
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.