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Name: yu.wang
Type: User
Company: FuZhou University
Bio: Graduate student of Fuzhou University, majoring in driverless driving
Location: FuZhou China
Name: yu.wang
Type: User
Company: FuZhou University
Bio: Graduate student of Fuzhou University, majoring in driverless driving
Location: FuZhou China
This is the implementation of "Acharya, D., Yan, W., & Khoshelham, K. (2018) Real-time image-based parking occupancy detection using deep learning. In the proceedings of the 5th Annual Conference of Research@Locate, Adelaide, Australia, CEUR Workshop Proceedings, 2087: 33-40"
real time finding parking space apps using mask r-cnn
Computer Vision. Detected highway lane lines on a video stream. Used OpenCV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
Computerized systems being an integral part of the current era, an automated parking system is one of its most commonly used applications. The aim of this model is to build up and implement an automatic parking system that will detect the parking space with the help of image processing technique of the parking lot as well as reduce the human power. The smart parking system will able to have fewer interaction of humans. In additions to that, it has parking guidance system that can demonstrate and guide user towards a parking space. With the problems of ever increasing urban traffic congestion and the ever increasing shortage of space, the parking lots need to be well-equipped with parking space detection. The proposed system helps in counting the number of parked vehicles and, identifying the number of spots available. The system detects cars through images instead of electronic sensors embedded on the floors. A camera is installed at a high and fixed position in the parking lot. An image of empty parking lot is taken as reference and then image of parking lot with cars is taken. Both the images are subtracted to find the numbers of parking slots available.
SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection
Learn to map surrounding vehicles onto a bird's eye view of the scene.
TJP object detection datasets
this is builded for parking-plot-sensor.being in 2019.8.12.
这是一个视觉车道线的,稳定版
视觉(语义) SLAM 相关研究跟踪
A vacant parking slot detection method in the around view image based on deep learning.
这是一个YoloV4-tiny-keras的源码,可以用于训练自己的模型。
一个基于yolov5-5.0的中文注释版本!
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.