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my-stone's Projects

chinese-ocr icon chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

chineseocr_lite icon chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

craft-pytorch icon craft-pytorch

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

crnn icon crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

crnn.pytorch icon crnn.pytorch

crnn实现水平和垂直方向中文文字识别, 提供在3w多个中文字符训练的水平识别和垂直识别的预训练模型; 欢迎关注,试用和反馈问题... ...

darknet icon darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

fots icon fots

An Implementation of the FOTS: Fast Oriented Text Spotting with a Unified Network

hyperlpr icon hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

imagecaptioning.pytorch icon imagecaptioning.pytorch

I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)

imagenet icon imagenet

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

labelimg icon labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

lets_ocr icon lets_ocr

A repository for OCR, which inlcudes some classical OCR algorithms Pytorch implementation such as CTPN, EAST and CRNN.

paddleocr icon paddleocr

Awesome OCR toolkits based on PaddlePaddle (8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices)

platerecognition icon platerecognition

An open source car license plate recognition python lib based on HyperLPR; Trained OpenCV’s cascaded target detector; Used Hard Sample Mining to crop out the detected error areas;

poetryweather icon poetryweather

将**传统文化、诗词等与天气应用结合的一款基于安卓端的开源APP

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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