Giter Club home page Giter Club logo

real-time-sign-language-recognition-macedonian's Introduction

mk-sign-language-real-time-recognition

Image annotation -> I did this localy, it is not tested in Colab

  1. pip install -r requirements.txt
  2. Use Image Collection.ipynb to take the images
  3. Move them to workspace/images/colectedimages
  4. Go to labelImg folder
  5. python labelImg.py
  6. Use Open Dir and select workspace/images/colectedimages
  7. Change Save Dir to workspace/images/colectedimages
  8. Annotate the images
  9. Go to workspace/images and run prepare-train-test.ipynb

Label IMG Shortcuts

Ctrl + u - Load all of the images from a directory

Ctrl + r - Change the default annotation target dir

Ctrl + s - Save

w - Create a rect box

d - Next image

a - Previous image

del - Delete the selected rect box

Ctrl++ - Zoom in

Ctrl-- - Zoom out

Ctrl + d - Copy the current label and rect box

Space - Flag the current image as verified

↑→↓←Keyboard arrows to move selected rect box

Image augmentation

  1. Image augmentation done with imgaug
  2. Link to augmentation notebook

Model train -> Do this in Colab

  1. Run pipeline.ipynb in colab env
  2. There are a few paths that need to be adjusted to the directory in which you will clone the repo
  3. Test it with predictions.ipynb

Predictions -> Do this in Colab

  1. Run predictions.ipynb in Colab env after you completed pipeline.ipynb

To-do

  1. work out the real time solution in predictions.ipynb -> Done
  2. Train on more images -> Done
  3. Write documentation overleaf -> Done

Real-time preview

realtime_obj_detection_git.mov

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.