tujc

tujc

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coroutine

A asymmetric coroutine library for C.

Language:CLicense:MITStargazers:2439Issues:0Issues:0

SFUD

An using JEDEC's SFDP standard serial (SPI) flash universal driver library | 一款使用 JEDEC SFDP 标准的串行 (SPI) Flash 通用驱动库

Language:CLicense:MITStargazers:1278Issues:0Issues:0
Language:CLicense:BSD-3-ClauseStargazers:103Issues:0Issues:0

rt-thread

RT-Thread is an open source IoT Real-Time Operating System (RTOS).

Language:CLicense:Apache-2.0Stargazers:10270Issues:0Issues:0

pytorch_ctpn

This is a pytorch implementation of CTPN(Detecting Text in Natural Image with Connectionist Text Proposal Network). You may want to finetune from: https://drive.google.com/open?id=1JHhI4sEIXfs5gDa1I9AgJBY477HTzAd0

Language:PythonStargazers:292Issues:0Issues:0

fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

Language:MarkdownStargazers:124893Issues:0Issues:0

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Language:C++License:NOASSERTIONStargazers:30766Issues:0Issues:0

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

Language:Jupyter NotebookLicense:MITStargazers:11989Issues:0Issues:0

light-LPR

Light-LPR is an open source project aimed at license plate recognition that can run on embedded devices, mobile phones, and x86 platforms. It aims to support license plate recognition in various scenarios. The accuracy rate of license plate character recognition exceeds 99.95%, and the comprehensive recognition accuracy rate exceeds 99.%, Support multi-country and multilingual license plate recognition.

Language:CStargazers:771Issues:0Issues:0

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:18169Issues:0Issues:0

the-art-of-command-line

Master the command line, in one page

Stargazers:152592Issues:0Issues:0

License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

Language:C++Stargazers:1381Issues:0Issues:0

License_Plate_Detection_Pytorch

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:645Issues:0Issues:0

EasyPR

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

Language:C++License:Apache-2.0Stargazers:6352Issues:0Issues:0

programming-and-algorithm

这是北京大学在coursera上开设的「程序设计与算法」专项课程

Language:C++Stargazers:180Issues:0Issues:0