nopaque/app/templates/main/manual/_06_services.html.j2
2023-03-16 10:31:58 +01:00

53 lines
2.4 KiB
Django/Jinja

<h3 class="manual-chapter-title">Services</h5>
<div class="row">
<div class="col s12 m4">
<img alt="Services" class="materialboxed responsive-img" src="{{ url_for('static', filename='images/manual/services.png') }}">
</div>
<div class="col s12 m8">
<p>
nopaque was designed from the ground up to be modular. This modularity
means that the offered workflow provides variable entry and exit points,
so that different starting points and goals can be flexibly addressed.
Each of these modules are implemented in a self-contained service, each of
which represents a step in the workflow. The services are coordinated in
such a way that they can be used consecutively. The order can either be
taken from the listing of the services in the left sidebar or from the
roadmap (accessible via the pink compass in the upper right corner). All
services are versioned, so the data generated with nopaque is always
reproducible.
</p>
</div>
</div>
<h4 class="manual-chapter-title">File Setup</h4>
<p>
The <a href="{{ url_for('services.file_setup_pipeline') }}">File Setup Service</a> bundles image data, such as scans and photos,
together in a handy PDF file. To use this service, use the job form to
select the images to be bundled, choose the desired service version, and
specify a title and description. Please note that the service sorts the
images into the resulting PDF file based on the file names. So naming the
images correctly is of great importance. It has proven to be a good practice
to name the files according to the following scheme:
page-01.png, page-02.jpg, page-03.tiff, etc. In general, you can assume
that the images will be sorted in the order in which the file explorer of
your operating system lists them when you view the files in a folder
sorted in ascending order by file name.
</p>
<h4>Optical Character Recognition (OCR)</h4>
<p>Comming soon...</p>
<h4>Handwritten Text Recognition (HTR)</h4>
<p>Comming soon...</p>
<h4>Natural Language Processing (NLP)</h4>
<p>Comming soon...</p>
<h4>Corpus Analysis</h4>
<p>
With the corpus analysis service, it is possible to create a text corpus
and then explore it in an analysis session. The analysis session is realized
on the server side by the Open Corpus Workbench software, which enables
efficient and complex searches with the help of the CQP Query Language.
</p>