scene-text

There are 27 repositories under scene-text topic.

  • JaidedAI/EasyOCR

    Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

    Language:Python22.5k3079573k

  • clovaai/deep-text-recognition-benchmark

    Text recognition (optical character recognition) with deep learning methods, ICCV 2019

    Language:Jupyter Notebook3.7k853831.1k

  • MhLiao/TextBoxes_plusplus

    TextBoxes++: A Single-Shot Oriented Scene Text Detector

    Language:C++95141135277

  • cs-chan/Total-Text-Dataset

    Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

    Language:MATLAB7303540141

  • bgshih/aster

    Recognizing cropped text in natural images.

    Language:Python72021113194

  • ayumiymk/aster.pytorch

    ASTER in Pytorch

    Language:Python6581196168

  • Yuliang-Liu/Curve-Text-Detector

    This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

    Language:Jupyter Notebook6353158155

  • Canjie-Luo/MORAN_v2

    MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

    Language:Python62124147152

  • MhLiao/MaskTextSpotterV3

    The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"

    Language:Python6151674122

  • Canjie-Luo/Text-Image-Augmentation

    Geometric Augmentation for Text Image

    Language:C++478201389

  • clovaai/synthtiger

    Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021

    Language:Python44064084

  • janzd/EAST

    Implementation of EAST scene text detector in Keras

    Language:Python21367073

  • BestSonny/SSTD

    Single Shot Text Detector with Regional Attention

    Language:C++212183178

  • HCIILAB/DeRPN

    A novel region proposal network for more general object detection ( including scene text detection ).

    Language:Python15523746

  • janzd/CRNN

    Convolutional recurrent neural network for scene text recognition or OCR in Keras

    Language:Python12041433

  • YukangWang/TextField

    TextField: Learning A Deep Direction Field for Irregular Scene Text Detection (TIP 2019)

    Language:C++995925

  • dafanghe/DeepSceneTextReader

    This is a c++ project deploying a deep scene text reading pipeline with tensorflow. It reads text from natural scene images. It uses frozen tensorflow graphs. The detector detect scene text locations. The recognizer reads word from each detected bounding box.

    Language:C++499818

  • janzd/awesome-scene-text

    A curated list of papers and resources for scene text detection and recognition

    459110

  • dafanghe/Tensorflow_SceneText_Oriented_Box_Predictor

    This project modify tensorflow object detection api code to predict oriented bounding boxes. It can be used for scene text detection.

    Language:Python293413

  • Lenubolim/TextDiff

    Official code implementation of " TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image "

    21670

  • ankanbhunia/AttenScriptNetPR

    Script identification in natural scene image and video frames using an attention based Convolutional-LSTM network (Pattern Recognition, 2019)

    Language:Jupyter Notebook15325

  • denabazazian/scene_text_segmentation

    Pytorch implementation for pixel-wise scene text segmentation based on DeepLabV3+

    Language:Python9334

  • denabazazian/wordSpotting_characterRecognition

    A Word Spotting Method in Scene Images based on Character Recognition

    Language:Python6202

  • FSP1020/SimpleVisionML

    Making machine learning and computer vision simple.

    Language:Python2300

  • ofnote/IndicSynthText

    Code for generating synthetic text images in Indic languages. Based on Ankush et al. CVPR'16.

    Language:Python1101

  • Naosekpam/IIITG-MLRIT2022-Scene-Text

    A multi-label language identification dataset based on regional Indian languages. It contains 5 languages (Hindi, Bengali, Malayalam, Kannada, and English) with the presence of two scripts per image (implying the multi-linguality). The dataset is diverse in nature with the existence of curved, perspective distorted, and multi-oriented text in addition to the horizontal text. This diversity is achieved by applying various image transformation techniques such as affine, arcs, and perspective distortion with different angular degrees. The dataset is harvested from multiple sources: captured from mobile cameras, existing datasets, and web sources.

    00

  • chunchet-ng/signboard_ocr

    A demo for OCR on Signboard (ArT dataset) using PaddleOCR' EAST + CRNN, MMOCR's ASTER and CRAFT.

    Language:Jupyter Notebook102