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Handwriting Recognition Toolkit

A toolkit for handwriting recognition (HWR). Especially on-line HWR. It was developed for the bachelor's thesis of Martin Thoma.

Version history

  • 0.1 First uploads

Documentation

The documentation is available at https://pythonhosted.org/hwrt

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Martin.Thoma from gravatar.com Martin.Thoma

Credits

Author/Maintainer: Martin Thoma

License

MIT License (MIT)

Requires

Python >= 3.0

Tags

HWRT recognition handwriting on-line

Classifiers

Report project as malware

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Source Distribution

hwrt-0.2.1.tar.gz (10.8 MB view details)

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hwrt-0.2.1-py3-none-any.whl (10.6 MB view details)

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  • Download URL: hwrt-0.2.1.tar.gz
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  • Size: 10.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.1

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Hashes for hwrt-0.2.1.tar.gz
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SHA256 38d425cc7524794c61f6e4444e14300db28c4e989f2851b2708cd57a50c0902e
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  • Download URL: hwrt-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 10.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.1

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Hashes for hwrt-0.2.1-py3-none-any.whl
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SHA256 7a59fff5b74901f959239b1917c2123e7b0aab014f1bba57011df96c1da1507d
MD5 823077c3aaf2ed558fbe75f35c6a206d
BLAKE2b-256 9a8f20bc3075216f995f1330373b98bd2bf5e5788c456e09113d0ef9dc98fb21

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