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A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
Modified by icdar codes for OCR results evaluation(detection or end-to-end recognition results). For more details, please see my blog:
SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to …
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…
ocr data ,detect data ,recognize data
pytorch, ctpn ,text detection ,ocr,文本检测
novioleo / FOTS
Forked from Vipermdl/OCR_detection_IC15implement FOTS and apply it on real scenario.
An Implementation of the FOTS: Fast Oriented Text Spotting with a Unified Network
FOTS text detection branch reimplementation, hmean: 83.3%
an unofficial implementation of FOTS: Fast Oriented Text Spotting with a Unified Network
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
A pytorch re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network
PyTorch bindinga for Baidu's Warp-CTC
This dataset contains re-annotations of 4 popular Latin/English scene text recognition datasets.
This repository implements the the encoder and decoder model with attention model for OCR