Hello!
I am following this tutorial to configure live annotation with Tesseract: Label Studio Enterprise Documentation — Interactive bounding boxes OCR in Label Studio with a Tesseract backend
I am using Docker on my Windows machine and want to use local storage.
I imported my images directly to Label Studio with the import file dialog.
I started labelstudio with:
docker run -it -p 8080:8080 -v ${PWD}/mydata:/label-studio/data --env LABEL_STUDIO_LOCAL_FILES_SERVING_ENABLED=true --env LABEL_STUDIO_LOCAL_FILES_DOCUMENT_ROOT=/label-studio/data/images heartexlabs/label-studio:latest label-studio --log-level DEBUG In the example.env file in the Label Studio ML Backend, I set
LABEL_STUDIO_HOST= http://host.docker.internal:8080 and the API key accordingly.
I start the Backend with: docker compose up tesseract
Then I connected the model with the URL and tested the Tesseract connection and it is returning a good response of “200".
The “Auto-detect” button appears as expected.
However, when I click it, I cannot draw any boxes manually.
Is there something I’m missing?
Thanks a lot in advance!