Git Product home page Git Product logo

gcl's People

Contributors

liuquan98 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar

gcl's Issues

KITTI dataset

Could you please provide a detailed description of how to use the KITTI dataset? Why are the labels and dataset both under the sequence folder after I unzip it?

Reproducing Paper Results

Hi @liuQuan98 ,

Thank you very much for your interesting work and your detailed code.

I was trying to reproduce the results shown in the paper on kitti (table 1 and table 3), using your weights and the supplied test script.

I am not sure which flag I should use to reproduce the Registration Recall of <1.5 <60.

I saw that when using --lokitti false the test size is 225 (with maximal gap between frame of ~35m).

When --lokitti true we have ~550 problems.

Should I use --useRansac false as well?

Can you guide me how to reproduce paper results?

Thanks
Yuval

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.