Git Product home page Git Product logo

Comments (1)

chenwydj avatar chenwydj commented on May 29, 2024

Hi @DanielEliasib,

Thank you for your interest in our work!

  1. I agree that these error messages did not tell much, and I also suspect this issue may be related to the size of the feature map. I would encourage you to set a breakpoint at search/operations.py:127, and check the feature map size and the type of conv operator that raises this error. The most common error comes from the training patch size (height/width) is not divisible by 64, but if you use a size of 576x640 during training, then this should not be a problem. Also please remember to update your patch size and image size in the configure file.
  2. You do not have to keep the aspect ratio during training.
  3. For your binary segmentation, yes I suppose you can do that.

Hope these answers could help!

from fasterseg.

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.