Skip to main content

Repository for Document AI - server/inference core package

Project description

Deep Doctection Logo

deepdoctection

deepdoctection is the main package for running and training models. It provides the pipeline framework, model wrappers, built-in pipelines, training scripts and evaluation methods.

The base package only installs the necessary dependencies for running inference with some selected models. For training, evaluating as well as running all available models, the full package needs to be installed.

Overview

  • analyzer: Configuration and factory functions for creating document analysis pipelines and the built-in analyzer.
  • configs: YAML configuration for pipelines and model profiles for the model catalogue.
  • extern: External model wrappers (Detectron2, DocTr, HuggingFace Transformers, Tesseract, PdfPlumber, etc.)
  • pipe: Pipeline components and services.
  • eval: Evaluation metrics and Evaluator.
  • train: Training utilities and training scripts for Detectron2 and selected Transformer models.

Installation

Basic Installation

For inference use cases, install the base package:

uv pip install deepdoctection

Important: Various dependencies must be installed separately:

  • PyTorch: Follow instructions at https://pytorch.org/get-started/locally/ according to your os and hardware.
  • Transformers: pip install transformers>=4.48.0 (if using HF models)
  • Timm: pip install timm>=0.9.16 (necessary for if using some dedicated HF models)
  • DocTr: pip install python-doctr>=1.0.0 (if using DocTr models)
  • Detectron2: Follow instructions at https://detectron2.readthedocs.io/en/latest/tutorials/install.html
  • PDFPlumber: pip install pdfplumber>=0.11.0
  • JDeskew: pip install jdeskew>=0.2.2
  • Boto3: pip install boto3==1.34.102

For running evaluation with various metrics you can also install in then use:

  • APTED: pip install apted==1.0.3
  • Distance: pip install distance==0.1.3
  • Pycocotools: pip install pycocotools>=2.0.2

Image processing is supported by PIL or OpenCV. PIL is used by default and will always be installed. If you prefer to use OpenCV, you can install it:

  • OpenCV: pip install opencv-python==4.8.0.76

Full Installation (Training & Evaluation)

For a one large install with all dependencies (except PyTorch), run:

uv pip install deepdoctection[full]

Development Installation

For development purpose use clone the repository and install in editable mode.

License

Apache License 2.0

Author

Dr. Janis Meyer

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deepdoctection-1.2.8.tar.gz (150.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

deepdoctection-1.2.8-py3-none-any.whl (191.8 kB view details)

Uploaded Python 3

File details

Details for the file deepdoctection-1.2.8.tar.gz.

File metadata

  • Download URL: deepdoctection-1.2.8.tar.gz
  • Upload date:
  • Size: 150.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for deepdoctection-1.2.8.tar.gz
Algorithm Hash digest
SHA256 550fdc98ea60029e22ee850f55bcf31543c8699446eda3df4786ea4f7723c4a5
MD5 9f1ddde832a6f4cbadfa4c5b67db558f
BLAKE2b-256 e6656df75352d0d1bc408064fbbb462c0fd2fce47013577af17207d25f8cabf4

See more details on using hashes here.

File details

Details for the file deepdoctection-1.2.8-py3-none-any.whl.

File metadata

  • Download URL: deepdoctection-1.2.8-py3-none-any.whl
  • Upload date:
  • Size: 191.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for deepdoctection-1.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 a97defa16255cded1712a1f867bbebf5398c20c9c6526c64898e00d1e68e41c6
MD5 a7b57e672cdc66ea796ba4229d26b3f6
BLAKE2b-256 436127d2b3be31699f1311d95ab8f02402434c3441eb357775214cf405f92985

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page