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cousnecs's Projects

agentocr icon agentocr

一个多语言支持、易使用的 OCR 项目。An easy-to-use OCR project with multilingual support.

ai-edu icon ai-edu

AI education materials for Chinese students, teachers and IT professionals.

alloyimage icon alloyimage

基于HTML5的专业级图像处理开源引擎。An image processing lib based on html5.

androidasync icon androidasync

Asynchronous socket, http(s) (client+server) and websocket library for android. Based on nio, not threads.

androidmarytts icon androidmarytts

Android MARY TTS - an open-source, offline HMM-Based text-to-speech synthesis system based on MaryTTS

annyang icon annyang

:speech_balloon: Speech recognition for your site

auto.js icon auto.js

A UiAutomator on android, does not need root access(安卓平台上的JavaScript自动化工具)

autojs-dev icon autojs-dev

Will be mirgated to a tool with UI running on Electron.

binarizer icon binarizer

Memory-efficient and fast implementation of local adaptive binarization methods(Niblack, Sauvola, ...)

camera-samples icon camera-samples

Multiple samples showing the best practices in camera APIs on Android.

canjs icon canjs

CanJS is a javascript interpreter, which can run JS code in JS.

carrot icon carrot

🥕 Evolutionary Neural Networks in JavaScript

chineseocr_lite_web icon chineseocr_lite_web

纯前端实现图片视频的文本检测,角度检测,文本识别等功能。 无需部署,打开即享。

chromeappheroes icon chromeappheroes

🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

craft-pytorch icon craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

cv4j icon cv4j

The target is to set up a high quality and real-time image process and machine learning library which is implemented in pure java. The framework can run application on java desktop and android platform.

db icon db

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

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