Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

ocrd-validators

Package Overview
Dependencies
Maintainers
3
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

ocrd-validators

OCR-D framework

  • 2.67.1
  • PyPI
  • Socket score

Maintainers
3

OCR-D/core

Python modules implementing OCR-D specs and related tools

image Docker Image CI Unit Test CI image image image

Gitter chat

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

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

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc