2017TJMtaotao's Projects
An awesome OCR engine developed by SYSU DeepDriving Lab
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
This software implements the Convolutional Recurrent Neural Network (CRNN) in tensorflow
implement CRNN in Keras with Spatial Transformer Network
Convolutional recurrent network in pytorch
chinese characters recognition
基于CRNN+CTC结构实现对不定长文本字符的识别
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf] [IN PROGRESS]
基于pytorch的CRNN
Extremely simple implement for Chinese OCR by PyTorch.
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
cs231n training camp
Public facing notes page
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
CV岗常见面试题(欢迎大家补充!!!)
CVPR 2017 Tutorial
CVPR 2020 论文开源项目合集
My specific computer-vision tool module modified from mmcv.
Convolutional Neural Networks
机器学习数据和代码
This is a python based library to augment the training dataset for object detection using YOLO.
Using neural networks to build an automatic number plate recognition system
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Keras code and weights files for popular deep learning models.
Text recognition (optical character recognition) with deep learning methods.
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
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,50余万字。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
深度学习私房菜代码链接目录