ASPYRE GT

A converter to help making your data compatible for import in eScriptorium. <!--A pipeline to transfer ground truth from Transkribus to eScriptorium.-->

SUMMARY

1. How to use Aspyre
2. Configuring the export from Transkribus
3. Reporting Errors
4. Wiki

How to use Aspyre

• As a library
• As a CLI
• ~~As a service online (GUI)~~

As a library

Aspyre is a library. To install it, simply download aspyrelib/ and make sure to install the dependencies! Use from aspyrelib import aspyre to import it in your program.

Parsing parameters with aspyre.AspyreArgs()

Start your project parsing all the required information with AspyreArgs() objects.

python Process essential information to run Aspyre :param scenario: keyword describing the scenario (string) :param source: path to source file (string) [opt] :param destination: path to output (string) [opt] :param talkative: activate a few print commands (bool) [opt] :param vpadding: value to add to VPOS attr. in String nodes (int)

supported values for scenario: "tkb", "pdfalto", "limb"

vpadding is only used in PDFALTO and LIMB scenarios

Transkribus to eScriptorium scenario with aspyre.TkbToEs()

:warning: really not the best way to transfer data between these two softwares.

Run Transkribus to eScriptorium (mainly resolve schema declaration, source image information).

python Handle a Transkribus to eScriptorium transformation scenario :param args: essential information to run transformation scenario (AspyreArgs)

PDFALTO to eScriptorium scenario with aspyre.PdfaltoToEs()

Run PDFALTO to eScriptorium scenario (mainly resolve schema declaration, source image information and homothety)

python Handle a PDFALTO to eScriptorium transformation scenario :param args: essential information to run transformation scenario (AspyreArgs)

As a CLI

A legacy script (run.py) from earlier stage enables you to use Aspyre as a CLI fairly easily.

Step by step (Transkribus scenario)

• Export the transcriptions and the images from Transkribus; you now have a zip file <!--- ~~Unzip the file to a directory you will serve to Aspyre as the location of the sources~~ (unnecessary with Aspyre 0.2.4!)-->
• Create a virtual environment based on Python 3 and install dependencies (cf. requirements.txt)
• Run aspyre/run.py (python3 aspyre/run.py) with the fitting options
• See the CLI's options with --help* (python3 aspyre/run.py --help)
• Aspyre will create a new ZIP that can be loaded onto eScriptorium

Example

python $ virtualenv venv -p python3 $ source venv/bin/activate (venv)$ pip install -r requirements.txt (venv)$ python3 aspyre/run.py -i /path/to/exported/documents

As a service online

This is no longer an option, following Heroku's decision in 2021 to stop supporting free hosting services.

~~You can now access Aspyre as a service online (GUI)! :arrow_right: go to Aspyre GUI~~

~~Step by step (Transkribus scenario)~~

• ~~Export the transcriptions and the images from Transkribus; you now have a zip file~~
• ~~If your archive weighs more than 500 MB, remove the images from the zip file (unzip the archive and rezip it keeping only the alto/ directory and the 'mets.xml' file)~~
• ~~Load the zip file onto the application and download the returned zip file~~
• ~~You can now directly load this new ZIP onto eScriptorium~~

Configuring the export from Transkribus

Export your data checking the “Transkribus Document” format option and checking the “Export ALTO” and “Export Image” sub-options.

Which input from PDFALTO?

Contenu minimum:

python dossier(.zip)/ - out/ - identifiant.xml_data/ - image-1.png - identifiant.xml

Pour le moment les archives tar.gz ne sont pas supportées. Seules les archives zip le sont.

Reporting Errors

If you notice unexpected errors or bugs or if you wish to add more complexity to the way Aspyre transforms the ALTO XML files, please create an issue and contribute!

Wiki

• What was the problem?