GithubHelp home page GithubHelp logo

mariovl's Introduction

MarioVL

Make not that this code directly makes use of of the MarioNette code base. The MarioNette project page can be found here and the corresponding github page can be found here.

Setup

Please install the required packages using the requirements.txt file

Data

The dataset can be found with the Google Drive link here.

You can download the dataset and place it in the data folder. The data folder should be in the same directory as the code.

To prepare the dataset, you can run the prep_data.py file. Note that the code assumes you have the image dataset in the data/images.

Training

To train the model, you can run the scripts/train.py file. You will need to provde a --data argument with the path to the created dataset as well as the --checkpoint_dir argument with the path to the directory where you want to save the checkpoints.

mariovl's People

Contributors

keatonkraiger avatar

Stargazers

Clorinde Enjoyer avatar

Watchers

James Cloos avatar  avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.