Giter Club home page Giter Club logo

Comments (6)

moberweger avatar moberweger commented on July 2, 2024 1

The ICVLImporter was designed for the "old" ICVL dataset, which was released 2014. You might need to adjust the file formats to fit to the new dataset.
For the NYU issues, you might take a look at issue #4

from deep-prior-pp.

zhanglong321 avatar zhanglong321 commented on July 2, 2024

The ICVLImporter was designed for the "old" ICVL dataset, which was released 2014. You might need to adjust the file formats to fit to the new dataset.
For the NYU issues, you might take a look at issue #4

Thank you very much. I will try to do it. Have a good day!

from deep-prior-pp.

zhanglong321 avatar zhanglong321 commented on July 2, 2024

The ICVLImporter was designed for the "old" ICVL dataset, which was released 2014. You might need to adjust the file formats to fit to the new dataset.
For the NYU issues, you might take a look at issue #4

Hi， I have another question. When compare to other paper, I can only know their average joint error, but can not get their value on every kind joint, just a bar graph, how can I know their accurate value?

from deep-prior-pp.

moberweger avatar moberweger commented on July 2, 2024

Well, if you can get the coordinates of the joints of the other methods, you can plot all the different plots (see src/util/handpose_evaluation.py), otherwise you can only use the average joint errors for comparison.

from deep-prior-pp.

zhanglong321 avatar zhanglong321 commented on July 2, 2024

Well, if you can get the coordinates of the joints of the other methods, you can plot all the different plots (see src/util/handpose_evaluation.py), otherwise you can only use the average joint errors for comparison.

Thanks for you answer, I got it!

from deep-prior-pp.

zhanglong321 avatar zhanglong321 commented on July 2, 2024

Well, if you can get the coordinates of the joints of the other methods, you can plot all the different plots (see src/util/handpose_evaluation.py), otherwise you can only use the average joint errors for comparison.

Thanks for you answer, I got it!

Well, if you can get the coordinates of the joints of the other methods, you can plot all the different plots (see src/util/handpose_evaluation.py), otherwise you can only use the average joint errors for comparison.

Where can I get these coordinates data? I can't find it,

from deep-prior-pp.

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.