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hufangjian's Projects

advancedeast icon advancedeast

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.

alphagan-matting icon alphagan-matting

This project is a repo of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018

androidscannerdemo icon androidscannerdemo

ScanLibrary is an android document scanning library built on top of OpenCV, using the app you will be able to select the exact edges and crop the document accordingly from the selected 4 edges and change the perspective transformation of the cropped image.

apollo icon apollo

An open autonomous driving platform

artline icon artline

A Deep Learning based project for creating line art portraits.

camerablur icon camerablur

Android app for blurring image background using machine learning

ccpd icon ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

chineseaddress_ocr icon chineseaddress_ocr

Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

closed-form-matting icon closed-form-matting

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

cppcoreguidelines-zh-cn icon cppcoreguidelines-zh-cn

Translation of C++ Core Guidelines [https://github.com/isocpp/CppCoreGuidelines] into Simplified Chinese.

deep-photo-enhancer icon deep-photo-enhancer

TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

deephdr icon deephdr

This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

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