findpeaks VS mmocr

Compare findpeaks vs mmocr and see what are their differences.

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findpeaks mmocr
1 6
202 4,077
- 1.6%
7.9 4.7
12 days ago 10 days ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

findpeaks

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

mmocr

Posts with mentions or reviews of mmocr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-28.

What are some alternatives?

When comparing findpeaks and mmocr you can also consider the following projects:

giotto-tda - A high-performance topological machine learning toolbox in Python

PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

mhk_mods - Outdated, please see https://github.com/SKevo18/mh_mods for new version

CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)

TARDIS - TARDIS: Topological Algorithms for Robust DIscovery of Singularities

doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal - A deep learning approach for stripe noise removal

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

iam-crnn-ctc-recognition - IAM Dataset Handwriting Recognition Using CRNN, CTC Loss, DeepSpeech Beam Search, And KenLM Scorer

keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.