Giter Club home page Giter Club logo

font-classfier-'s Introduction

Create a Font Classfier - using ResNet model

1. pre-processing dataset

read./project_files/data file and 10 classes fonts images，Crop and scale the data image set to 100*100, then rotate it randomly 3 times, expand the dataset, and save it to the./dataset/dataset folder.

2. split train-test dataset

The dataset 8:2 is divided into the training set and the test set, which are saved in the train and test folders respectively.

3. Build ResNet model and train output accuracy, loss value and time. Save the best model best-pth and the last step model last.pth.

4. Evaluate model

The loss curve and the accuracy curve are drawn.

Accuracy for each class
precision，recall, and f1-score
confusion matrix

font-classfier-'s People

Contributors

zoeyucan avatar

Watchers

avatar

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.