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PCのwebcamを使い、リアルタイムのハンドトラッキング体験
Minimal Python interface for Google's Mediapipe HandTracking pipeline
This is a tool which helps to build handwrite digit dataset like MNIST. It can extract image patch(figure.2 ) from many printing forms(figure. 1), and build a 10 class dataset with labels.
手写识别Demo for Android ,基于Zinnia
iOS版本的手写汉字识别Demo,核心算法不到300行,参考博文:http://www.linyibin.cn/2016/11/10/technology-IME-HandWritingRecognization/
An computer vision project, based on cimg library and svm training, to classify handwriting number.
OCR software for recognition of handwritten text
This example app shows how to recognize handwritten text using the Selvy Pen SDK for Text on Android.
A system for identity recognition by handwriting.
Handwriting Synthesis with RNNs ✏️
A simple API access to the handwriting recognition service of Google IME
Handwriting recognition for Cursive and Non-cursive writing using Tkinter GUI in Python and processing code in C++ .
Work relating to the OCR wish-list item "figure out an algorithm that would separate images into sets with no handwriting, little handwriting (mostly text typed or printed), lots of handwriting"
This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.
Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture
基于OpenCV手写数字识别系统
Automatically recognize handwritten digits from photos. Handwritten digits recognition by CNN and SVM.
Handwritten Mathematical Expression Recognition and Calculation
Handwritten Number Recognition using CNN and Character Segmentation
Final project for the Digital Image Processing class. Data acquired by Leap Motion will be classified using KNN search. Using C++ and OpenCV.
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
一套手写数字识别程序,可以组合使用不同的特征,采用维规约技术进行降维,并采用不同的分类器识别手写数字,并输出结果,进行比较。
CNN + LSTM + CTC
Handwritten recognition model for Esposalles datasets, based on LSTM and CTC.
C语言 实现识别手写数字
简洁易用的C++11网络库 / 支持单机千万并发连接 / a simple C++11 network server framework
handy is a fast and lightweight library for online handwriting recognition, developed in C language and suitable to be used with mobile devices with touchscreen displays, tablet pc's, etc.
Contains some simple and commonly used WPF controls
Development on a hanging plotter
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.