Kraken 7 removed support for the legacy `path` format (image + .gt.txt pairs) in VGSLRecognitionDataModule despite the CLI still advertising it. Switching to PAGE XML (-f page) format which is the supported standard. - Java export now writes .xml alongside .png (PAGE XML with TextLine, Baseline at 75% height, and Unicode transcription) - XML special characters in transcription text are escaped (& < >) - Python trainer globs *.xml and passes -f page to ketos train - Regenerated frontend API types to include cer/loss/accuracy/epochs on OcrTrainingRun (were missing, causing empty CER column in history) - Updated and extended TrainingDataExportServiceTest Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
sv
Everything you need to build a Svelte project, powered by sv.
Creating a project
If you're seeing this, you've probably already done this step. Congrats!
# create a new project in the current directory
npx sv create
# create a new project in my-app
npx sv create my-app
Developing
Once you've created a project and installed dependencies with npm install (or pnpm install or yarn), start a development server:
npm run dev
# or start the server and open the app in a new browser tab
npm run dev -- --open
Building
To create a production version of your app:
npm run build
You can preview the production build with npm run preview.
To deploy your app, you may need to install an adapter for your target environment.