• recognized_characters_as_labels (bool): Whether to use recognized characters as labels. Defaults to False.
• artefact_type_as_labels (bool): Whether to use artefact type as labels. Defaults to False.
• det_arch (str): Detection architecture to use. Defaults to "fast_base".
• reco_arch (str): Recognition architecture to use. Defaults to "crnn_vgg16_bn".
• pretrained (bool): Whether to use pretrained models. Defaults to True.
• pretrained_backbone (bool): Whether to use pretrained backbone. Defaults to True.
• assume_straight_pages (bool): Whether to assume pages are straight. Defaults to True.
• preserve_aspect_ratio (bool): Whether to preserve aspect ratio. Defaults to True.
• symmetric_pad (bool): Whether to use symmetric padding. Defaults to True.
• export_as_straight_boxes (bool): Whether to export as straight boxes. Defaults to False.
• detect_orientation (bool): Whether to detect orientation. Defaults to False.
• straighten_pages (bool): Whether to straighten pages. Defaults to False.
• detect_language (bool): Whether to detect language. Defaults to False.

agent:
  name: doctr_prediction
  description: agent to run inference with DocTR, performs on images read, recognition and save

templates:
- template_name: InputTemplate
  class_name: InputTemplate
  attributes: {}

- template_name: FolderImageDatasetCV2
  class_name: FolderImageDatasetCV2
  template_input: InputTemplate
  attributes:
    data_dir: dataset/input

- template_name: DocTROCRPrediction
  class_name: DocTROCRPrediction
  template_input: FolderImageDatasetCV2
  attributes:
    recognized_characters_as_labels: True

- template_name: BBoxDrawer
  class_name: BBoxDrawer
  template_input: DocTROCRPrediction
  attributes:
    draw_confidence: True
    draw_extra_labels: True

- template_name: ImageSaver
  class_name: ImageSaver
  template_input: BBoxDrawer
  attributes:
    save_dir: output
    root_dir: dataset

IMPORTANT This docker image depends on the sinapsis:base image. Please refer to the official sinapsis instructions to Build with Docker.

1. Build the sinapsis-ocr image:

docker compose -f docker/compose.yaml build

2. Start the app container:

docker compose -f docker/compose_app.yaml up

3. Check the status:

docker logs -f sinapsis-ocr-app

4. The logs will display the URL to access the webapp, e.g.:

NOTE: The url can be different, check the output of logs

Running on local URL:  http://127.0.0.1:7860

5. To stop the app:

docker compose -f docker/compose_app.yaml down

To run the webapp using the uv package manager, please:

1. Create the virtual environment and sync the dependencies:

uv sync --frozen

2. Install packages:

uv pip install sinapsis-doctr[all] --extra-index-url https://pypi.sinapsis.tech

3. Run the webapp:

uv run webapps/gradio_ocr.py

4. The terminal will display the URL to access the webapp, e.g.:

Running on local URL:  http://127.0.0.1:7860

NOTE: The url can be different, check the output of the terminal

5. To stop the app press Control + C on the terminal