Code Monkey home page Code Monkey logo

Comments (5)

eraofelix avatar eraofelix commented on May 21, 2024 2

Maybe change of GRID_BOUNDS will work, i'll close this issue~

from vision3d.

eraofelix avatar eraofelix commented on May 21, 2024

Maybe change of GRID_BOUNDS will work, i'll close this issue~

sadly, it does not work, although i change GRID_BOUNDS to [-80, -40.0, -3, 80, 40.0, 2] both in training and inference

from vision3d.

jhultman avatar jhultman commented on May 21, 2024

Hmm, I'm not sure why this would happen. I think the only part of the code that would affect this is here. Also this issue seems to suggest there is no problem with 360 degree inference. Maybe you accidentally load the ckpt from the model trained before grid_bounds fix?

from vision3d.

muzi2045 avatar muzi2045 commented on May 21, 2024

if you only train on KITTI dataset, the result is normal, because the kitti annotations only exist in camera coordinates, which means only detect things only in front of the car.
If you want to detect 360 degree things:

  1. try to use Sample Augmentation, make every input training cloud have annotations in 360 degree.
  2. just train on other dataset like Nuscenes.
  3. do the inference twice for ahead 180 degree and rear 180 degree.
    @eraofelix

from vision3d.

viraj96 avatar viraj96 commented on May 21, 2024

@muzi2045

Hi, can you explain more about the third alternative - inference twice one? Do you mean flipping the whole input pointcloud? How would that work?

from vision3d.

Related Issues (20)

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.