CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
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Updated
Jan 13, 2022 - Python
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN
Implementation of "STN-OCR: A single Neural Network for Text Detection and Text Recognition" in natural Scenes by Christian Bartz.
CLIP Object Detection, search object on image using natural language #Zeroshot #Unsupervised #CLIP #ODS
Interactive tool to learn how yolo algorithm work, used in yt tutorial.
A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network (CVPR 2020)
Transformer OCR is a Optical Character Recognition tookit built for researchers working on both OCR for both Vietnamese and English. This project only focused on variants of vanilla Transformer (Conformer) and Feature Extraction (CNN-based approach).
Synthetic handwritten Groningen Meaning Bank (GMB) dataset for full page text and entity recognition
Source code for WACV20 paper "Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition".
A concise but complete implementation of CLIP with various experimental improvements from recent papers
A PyTorch implementation of Mask TextSpotter
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