Text Recognition and Detection based on Pixel-Link paper implemented in pytorch
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Updated
Jun 19, 2019 - Python
Text Recognition and Detection based on Pixel-Link paper implemented in pytorch
FOTS Pytorch Implementation
Pytorch implementation of CRAFT text detector
Implementation of the paper "Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network"
Detect text in natural images with SSD, Single Shot Detection
We refer the SSD to implement the text detection task. The main idea is from the TextBoxes.
This project modify tensorflow object detection api code to predict oriented bounding boxes. It can be used for scene text detection.
Some codes for partly reproduction of the paper: Reading Text in the Wild with Convolutional Neural Networks
Implementation for CVPR 2018 text recognition Paper by Tensorflow: "AON: Towards Arbitrarily-Oriented Text Recognition"
Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
This repository is the official implementation of Semantic-based Scene Text Detector(STD for short), a new scene text detection method, inspired by the idea of CSP, which is used on Pedestrian Detection.
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