Giter Site home page Giter Site logo

Comments (1)

aaberdam avatar aaberdam commented on May 30, 2024

Hi,
It requires two small changes, but of course that you need to re-train the models and create a Chinese text dataset.

As for the changes, you should create a .txt file that contains your character set (see example in data/charset_36.txt).
Then, in the configuration files, you should change charset_path under the dataset section to be path_to_your_charset.

Now, you need to train the models. To maximize performance, SemiMTR requires 3 training stages, as described here. For pretraining the language model, you should create a text dataset and can use this notebook.

Please let me know if there are any further questions.

from semimtr-text-recognition.

Related Issues (14)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.