Calliar VS deep-text-recognition-benchmark

Compare Calliar vs deep-text-recognition-benchmark and see what are their differences.

Calliar

A dataset for online Arabic calligraphy. A collection of 2500 annotated calligraphic styles. (by ARBML)

deep-text-recognition-benchmark

PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR) (by roatienza)
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Calliar deep-text-recognition-benchmark
1 1
138 278
2.2% -
2.2 2.2
about 1 year ago about 1 month ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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Calliar

Posts with mentions or reviews of Calliar. We have used some of these posts to build our list of alternatives and similar projects.

deep-text-recognition-benchmark

Posts with mentions or reviews of deep-text-recognition-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-11.
  • Building an Internet Scale Meme Search Engine
    5 projects | news.ycombinator.com | 11 Jan 2023
    https://github.com/roatienza/deep-text-recognition-benchmark (available weights are for tasks that seem similar to OCR so there is a good chance you can use it out of the box). With a good gpu it should process hundreds to thousands image per seconds, so you likely can build your index in less than a day. (Maybe you can even port it to your iphone stack :) )

    https://github.com/microsoft/GenerativeImage2Text (You'll probably have to train on your custom dataset that you have constituted)

    There are tons of other freely available solutions that you can get with a search for things with keywords like "image to text ocr" "transformers" "visual transformers"...

What are some alternatives?

When comparing Calliar and deep-text-recognition-benchmark you can also consider the following projects:

postcss-rtl - PostCSS plugin for RTL-adaptivity

GenerativeImage2Text - GIT: A Generative Image-to-text Transformer for Vision and Language

deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019

Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

document-ai-samples - Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud

sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.

ocrpy - OCR, Archive, Index and Search: Implementation agnostic OCR framework.

ocrit - Simple command-line utility for performing OCR using Apple's Vision framework

macOCR - Get any text on your screen into your clipboard.

Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.