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Releases: JaidedAI/EasyOCR

v1.7.2

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@rkcosmos rkcosmos released this 24 Sep 11:24
  • 24 September 2024 - Version 1.7.2
    • Fix several compatibilities

v1.7.1

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@rkcosmos rkcosmos released this 04 Sep 11:53
  • 4 September 2023 - Version 1.7.1
    • Fix several compatibilities

v1.7.0

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@JaidedTeam JaidedTeam released this 25 May 09:11
f454d5a

v1.6.2

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@rkcosmos rkcosmos released this 15 Sep 11:34
  • 15 September 2022 - Version 1.6.2
    • Add CPU support for DBnet detector
    • DBnet will only be compiled when users initialize EasyOCR with DBnet detector.

v1.6.1

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@rkcosmos rkcosmos released this 01 Sep 08:23
  • 1 September 2022 - Version 1.6.1
    • Fix DBNET path bug for Windows
    • Add new built-in model cyrillic_g2. This model is a new default for Cyrillic script.

v1.6.0

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@rkcosmos rkcosmos released this 24 Aug 03:50

v1.6.0

  • 24 August 2022 - Version 1.6.0
    • Restructure code to support alternative text detectors.
    • Add detector DBNET, see paper. It can be used by initializing like this reader = easyocr.Reader(['en'], detect_network = 'dbnet18').

v1.5.0

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@rkcosmos rkcosmos released this 02 Jun 03:32

v1.5.0

  • 2 June 2022 - Version 1.5.0
    • Add trainer for CRAFT detection model (thanks@gmuffiness, see PR)

v1.4.2

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@rkcosmos rkcosmos released this 09 Apr 07:42
  • 9 April 2022 - Version 1.4.2
    • Update dependencies (opencv and pillow issues)

v1.4.1

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@rkcosmos rkcosmos released this 11 Sep 09:36
  • 11 September 2021 - Version 1.4.1
    • Add trainer folder
    • Add readtextlang method (thanks@arkya-art, see PR)
    • Extend rotation_info argument to support all possible angle (thanksabde0103, see PR)

v1.4

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@rkcosmos rkcosmos released this 29 Jun 09:44
  • 29 June 2021 - Version 1.4
    • Instruction on training/using custom recognition model
    • Example dataset
    • Batched image inference for GPU (thanks @SamSamhuns, see PR)
    • Vertical text support (thanks @interactivetech). This is for rotated text, not to be confused with vertical Chinese or Japanese text. (see PR)
    • Output in dictionary format (thanks @A2va, see PR)