Code Monkey home page Code Monkey logo

crf-image-segmentation's Introduction

CRF-image-segmentation

  1. Install tensorflow, tf-slim and other dependencies required by the code (Ideally in a virtual environment).
  2. Download VGG model. http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz
  3. Untar the model and then update the checkpoints_dir variable as folder containing the extracted vgg model
  4. Update log folder variable log_folder
  5. Lines 272 - 279 have been temporarily commented to prevent plots being showed after each iteration. Plots holds up further execution till the plot window is closed.
  6. The input image size should be 480x352. All images must be resized to this dimension before being fed to the algorithm.
  7. Replace vaiable named 'processed_probabilities' with 'softmax'(Already done in the code).

crf-image-segmentation's People

Contributors

therealnidhin avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.