Pinned Repositories
2017DSB-Unet
2017科学数据碗比赛-肺部结节分割与分类
2018-BD-XJD
2018百度西交大大数据竞赛-商家招牌的分类与检测-初赛
awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
BP-OCR
BP神经网络实现手写体字符识别
BUY-HW
华为商城抢手机脚本？？
CRNN.PyTorch
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
EAST.Keras
Implementation of EAST scene text detector in Keras
Get_Weather_PM25
网络爬虫爬取天气以及空气质量信息
GPU-Test
TensorFlow测试多GPU并行处理
Retina-Unet
眼底图像的血管分割
wfdubowen's Repositories
wfdubowen/Retina-Unet
眼底图像的血管分割
wfdubowen/BUY-HW
华为商城抢手机脚本？？
wfdubowen/2017DSB-Unet
2017科学数据碗比赛-肺部结节分割与分类
wfdubowen/2018-BD-XJD
2018百度西交大大数据竞赛-商家招牌的分类与检测-初赛
wfdubowen/Get_Weather_PM25
网络爬虫爬取天气以及空气质量信息
wfdubowen/GPU-Test
TensorFlow测试多GPU并行处理
wfdubowen/BP-OCR
BP神经网络实现手写体字符识别
wfdubowen/CRNN.PyTorch
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
wfdubowen/awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
wfdubowen/EAST.Keras
Implementation of EAST scene text detector in Keras
wfdubowen/ICDAR2019_cTDaR
The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.
wfdubowen/PSENet.pytorch
A pytorch re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network
wfdubowen/text_renderer
Generate text images for training deep learning ocr model
wfdubowen/VGG-Test
Tensorflow编写的VGG测试代码