Giter Club home page Giter Club logo

Comments (2)

hjessmith avatar hjessmith commented on June 27, 2024 2

They're actually completely different models, so I'm not surprised to see that the results don't line up perfectly. The online demo model was trained several years ago, and the model weights released alongside the project were obtained via fine-tuning with data collected from the online demo.

If the returned detection is clipping the extremities of your character, this can result in very bad segmentations maps. If you want to be certain to avoid this, I would recommend you pad the detected bounding box (e.g. add 15 pixels to each side) and use that in the downstream segmentation and pose estimation steps.

from animateddrawings.

yihleego avatar yihleego commented on June 27, 2024

Thank you for providing this information, it's better with padding now. 😄

from animateddrawings.

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.