GithubHelp home page GithubHelp logo

Comments (3)

markweberdev avatar markweberdev commented on June 23, 2024

Hi HarborYuan,

Indeed, only the classes 11 and 13 have track annotations (see here: https://github.com/google-research/deeplab2/blob/main/data/dataset.py#L162).

I'm not sure I understand the question right. There is no guarantee that for example, an image only contains one bicycle. However, in case there are two bicycles these would not have different track IDs.

You only need to consider 11 and 13 as things, all other classes are considered to be stuff.

Please let me know, if that answers your question.

from deeplab2.

HarborYuan avatar HarborYuan commented on June 23, 2024

Hi,

Thanks for your help. I think you have solved my question.
I just treated the annotations as the cityscapes annotations and thought the thing-stuff definition is the same.

Thanks.

from deeplab2.

ruili3 avatar ruili3 commented on June 23, 2024

Hi HarborYuan,

Indeed, only the classes 11 and 13 have track annotations (see here: https://github.com/google-research/deeplab2/blob/main/data/dataset.py#L162).

I'm not sure I understand the question right. There is no guarantee that for example, an image only contains one bicycle. However, in case there are two bicycles these would not have different track IDs.

You only need to consider 11 and 13 as things, all other classes are considered to be stuff.

Please let me know, if that answers your question.

Hi Mark,

I have a subsequent question regarding KITTI STEP. Does the instance annotation ID consistent with the initial instance ID used in the KITTI tracking dataset, considering they are using the same data splits?

Thank you!

from deeplab2.

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.