App to extract text from images
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Updated
Jan 26, 2022 - Python
App to extract text from images
Baek, Youngmin, et al. Character Region Awareness for Text Detection. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019. p. 9365-9374.
'PixelLink' (Deng et al., 2018) implementation from scratch in PyTorch
Making machine learning and computer vision simple.
An ONNX exporter fot the DeepSolo scene text recognition model
Soft-PHOC is an intermediate representation of images based on character probability maps.
EAST paper implementation repository modified for custom detection tasks.
Training extention for the TextBPN repository. The official repository can be found here: https://github.com/GXYM/TextBPN
A TensorFlow 2 reimplementation of DBNet available as a Python package for Scene Text Detection, following ICDAR 2015 Dataset format and using TedEval as Evaluation metrics
The official repo for [IJCV'22] "I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection"
Extremely easy to use Text Detection module with CRAFT pre-trained model.
This project modify tensorflow object detection api code to predict oriented bounding boxes. It can be used for scene text detection.
[WIP] A Pytorch implementation of DB-Text - Real-time Scene Text Detection with Differentiable Binarization
OCR Tamil is a powerful tool that can detect and recognize text in Tamil images with high accuracy on Natural Scenes
Pytorch implementation of PSEnet with Pyramid Attention Network as feature extractor
PyTorch re-implementation of ''Real-time Scene Text Detection with Differentiable Binarization'' (AAAI 2020)
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