OCR-D/core

Python modules implementing OCR-D specs and related tools

• Introduction
• Installation
• Command line tools
  • ocrd CLI
  • ocrd-dummy CLI
• Configuration
• Packages
  • ocrd_utils
  • ocrd_models
  • ocrd_modelfactory
  • ocrd_validators
  • ocrd_network
  • ocrd
• bash library
• Testing
• See Also

Introduction

This repository contains the python packages that form the base for tools within the OCR-D ecosphere.

All packages are also published to PyPI.

Installation

NOTE Unless you want to contribute to OCR-D/core, we recommend installation as part of ocrd_all which installs a complete stack of OCR-D-related software.

The easiest way to install is via pip:

pip install ocrd
# or just the functionality you need, e.g.
pip install ocrd_modelfactory

All Python software released by OCR-D requires Python 3.8 or higher.

NOTE Some OCR-D-Tools (or even test cases) might reveal an unintended behavior if you have specific environment modifications, like:

• using a custom build of ImageMagick, whose format delegates are different from what OCR-D supposes
• custom Python logging configurations in your personal account

Command line tools

NOTE: All OCR-D CLI tools support a --help flag which shows usage and supported flags, options and arguments.

ocrd CLI

• CLI usage
• Introduction to ocrd workspace
• OCR-D user guide

ocrd-dummy CLI

A minimal OCR-D processor that copies from -I/-input-file-grp to -O/-output-file-grp

Configuration

Almost all behaviour of the OCR-D/core software is configured via CLI options and flags, which can be listed with the --help flag that all CLI support.

Some parts of the software are configured via environment variables:

• OCRD_METS_CACHING: If set to true, access to the METS file is cached, speeding in-memory search and modification.

• OCRD_PROFILE: This variable configures the built-in CPU and memory profiling. If empty, no profiling is done. Otherwise expected to contain any of the following tokens:

  • CPU: Enable CPU profiling of processor runs
  • RSS: Enable RSS memory profiling
  • PSS: Enable proportionate memory profiling

• OCRD_PROFILE_FILE: If set, then the CPU profile is written to this file for later peruse with a analysis tools like snakeviz

• PATH: Search path for processor executables (affects ocrd process and ocrd resmgr).

• HOME: Directory to look for ocrd_logging.conf, fallback for unset XDG variables (see below).

• XDG_CONFIG_HOME: Directory to look for ./ocrd/resources.yml (i.e. ocrd resmgr user database) – defaults to $HOME/.config.

• XDG_DATA_HOME: Directory to look for ./ocrd-resources/* (i.e. ocrd resmgr data location) – defaults to $HOME/.local/share.

• OCRD_DOWNLOAD_RETRIES: Number of times to retry failed attempts for downloads of workspace files.

• OCRD_DOWNLOAD_TIMEOUT: Timeout in seconds for connecting or reading (comma-separated) when downloading.

• OCRD_METS_CACHING: Whether to enable in-memory storage of OcrdMets data structures for speedup during processing or workspace operations.

• OCRD_MAX_PROCESSOR_CACHE: Maximum number of processor instances (for each set of parameters) to be kept in memory (including loaded models) for processing workers or processor servers.

• OCRD_NETWORK_SERVER_ADDR_PROCESSING: Default address of Processing Server to connect to (for ocrd network client processing).

• OCRD_NETWORK_SERVER_ADDR_WORKFLOW: Default address of Workflow Server to connect to (for ocrd network client workflow).

• OCRD_NETWORK_SERVER_ADDR_WORKSPACE: Default address of Workspace Server to connect to (for ocrd network client workspace).

• OCRD_NETWORK_RABBITMQ_CLIENT_CONNECT_ATTEMPTS: Number of attempts for a worker to create its queue. Helpful if the rabbitmq-server needs time to be fully started.

Packages

ocrd_utils

Contains utilities and constants, e.g. for logging, path normalization, coordinate calculation etc.

See README for ocrd_utils for further information.

ocrd_models

Contains file format wrappers for PAGE-XML, METS, EXIF metadata etc.

See README for ocrd_models for further information.

ocrd_modelfactory

Code to instantiate models from existing data.

See README for ocrd_modelfactory for further information.

ocrd_validators

Schemas and routines for validating BagIt, ocrd-tool.json, workspaces, METS, page, CLI parameters etc.

See README for ocrd_validators for further information.

ocrd_network

Components related to OCR-D Web API

See README for ocrd_network for further information.

ocrd

Depends on all of the above, also contains decorators and classes for creating OCR-D processors and CLIs.

Also contains the command line tool ocrd.

See README for ocrd for further information.

bash library

Builds a bash script that can be sourced by other bash scripts to create OCRD-compliant CLI.

See README for bashlib for further information.

Testing

Download assets (make assets)

Test with local files: make test

• Test with remote assets:
  • make test OCRD_BASEURL='https://github.com/OCR-D/assets/raw/master/data/'

See Also

• OCR-D Specifications (Repo)
• OCR-D core API documentation (built here via make docs)
• OCR-D Website (Repo)