/print-and-cam-pwa

Progressive web app decoding hidden information in HQR images

Primary LanguageJavaScript

print-and-cam-pwa

Progressive web app decoding hidden information in HQR images

Build Setup

# install dependencies
yarn

# serve with hot reload at localhost:8080
yarn dev

# build for production with minification
yarn build

# build for production and view the bundle analyzer report
yarn build --report

For detailed explanation on how things work, checkout the guide and docs for vue-loader.

Known issues

  • The app does not truely work offline due to a problem with OpenCV
  • The marker identification is extremely simple leading to false-positives
  • The decoding is time consuming (try using TensorFlow.js)
  • OpenCV is consuming a lot of memory and iOS devices can crash after some time
  • When an image is uploaded using the 'chose file' input, camera-orientation is not handled