Papers › OmniPrint: A Configurable Printed Character Synthesizer

OmniPrint: A Configurable Printed Character Synthesizer

17 Jan 2022arXiv:2201.06648archive 2025-07-28

Haozhe Sun, Wei-Wei Tu, Isabelle Guyon

We introduce OmniPrint, a synthetic data generator of isolated printed characters, geared toward machine learning research. It draws inspiration from famous datasets such as MNIST, SVHN and Omniglot, but offers the capability of generating a wide variety of printed characters from various languages, fonts and styles, with customized distortions. We include 935 fonts from 27 scripts and many types of distortions. As a proof of concept, we show various use cases, including an example of meta-learning dataset designed for the upcoming MetaDL NeurIPS 2021 competition. OmniPrint is available at https://github.com/SunHaozhe/OmniPrint.

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sunhaozhe/omniprint officialmentioned in paperMIT report
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10 samples harvested; 5 ran; 2 honoured the contract we drafted; 5 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

2ran · honoured contract
1ran · our draft was wrong
1ran · fixture could not drive it
1ran
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factor2magnitude sunhaozhe/omniprint/omniprint/data_generator.py official repository ran · honoured contract fingerprinted MIT (permissive) · bdd7955dce858142 · report
image_enhancement sunhaozhe/omniprint/omniprint/data_generator.py official repository ran · our draft was wrong MIT (permissive) · a4039b6c26958010 · report
plain_color sunhaozhe/omniprint/omniprint/background_generator.py official repository ran · fixture could not drive it MIT (permissive) · a50b0f7b5b620e04 · report
plain_white sunhaozhe/omniprint/omniprint/background_generator.py official repository ran · honoured contract MIT (permissive) · 65fc77213d3ff17a · report
str2bool SunHaozhe/transferlearning/code/DeepDA/utils.py found in paper text by Syntology ran MIT (permissive) · 1c31f800b71774a1 · report
CORAL SunHaozhe/transferlearning/code/DeepDA/loss_funcs/coral.py found in paper text by Syntology unverified MIT (permissive) · 0a0126c7e10b7de1 · report
accuracy SunHaozhe/transferlearning/code/DeepDG/alg/modelopera.py found in paper text by Syntology unverified MIT (permissive) · e31d1f2fae01ad6e · report
get_backbone SunHaozhe/transferlearning/code/DeepDA/backbones.py found in paper text by Syntology unverified MIT (permissive) · 46b83ab54c34fbc1 · report
get_data_loader SunHaozhe/transferlearning/code/DeepDA/data_loader.py found in paper text by Syntology unverified MIT (permissive) · 95c4b2cf2eaa5127 · report
load_data SunHaozhe/transferlearning/code/DeepDA/data_loader.py found in paper text by Syntology unverified MIT (permissive) · 07ef759d2a42d6c8 · report

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