STN-OCR. Detecting and recognizing text in natural scene images. This is still an open problem for research community and has many usge like image-based machine ...
Visual attention-based OCR model for image recognition with additional tools for creating TFRecords datasets and exporting the trained model with weights as a ...
This sequence to sequence OCR model aims to provide a clear and maintainable implementation of attention based OCR. Please note that this is currently a work in ...
Firstly OCR (Optical Character Recognition) is usually made by combining several image processing techniques such as: De-Skewing, Cleaning, Normalization,
A simple OCR application using Python, OpenCV, and Keras. test_handwriting.py file recognizes handwritten text and returns an output.png image with the text ...
This is an implementation of HRNetV2 + OCR on Keras and Tensorflow. The ... tensorflow 2. Reference. High-Resolution Representations for Labeling Pixels and ...
Tensorflow Hub. Keras OCR Models are published in TensorFlow Hub. You can find this repo for converting CRAFT models to TFLite and using them for inference. For ...
Using TensorFlow to create a ResNet model to train a deep learning model for images. Using OpenCV to do some image processing and show image with boundary ...
