App to extract text from images
-
Updated
Jan 26, 2022 - Python
App to extract text from images
arabic text detection of document and scene images [demo]
A system that detects scene text on traffic signs through images and videos
Making machine learning and computer vision simple.
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
AB-LSTM: Attention-Based Bidirectional LSTM Model for Scene Text Detection
This is an implementation of YOLOv8 and CRNN network for Scene Text Recognition task
An ONNX exporter fot the DeepSolo scene text recognition model
Semi-automatic annotation tool for curve text detection.
Soft-PHOC is an intermediate representation of images based on character probability maps.
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
Training extention for the TextBPN repository. The official repository can be found here: https://github.com/GXYM/TextBPN
EAST paper implementation repository modified for custom detection tasks.
Extremely easy to use Text Detection module with CRAFT pre-trained model.
Add a description, image, and links to the scene-text-detection topic page so that developers can more easily learn about it.
To associate your repository with the scene-text-detection topic, visit your repo's landing page and select "manage topics."