Julius Unverfehrt def2d2d108 Pull request #41: RED-6273 multi tenant storage
Merge in RR/cv-analysis from RED-6273-multi-tenant-storage to master

Squashed commit of the following:

commit ed07dc26b0323bf1f0a5b336e4075c8cc3d20d29
Author: Julius Unverfehrt <julius.unverfehrt@iqser.com>
Date:   Tue Mar 28 18:03:16 2023 +0200

    update pyinfra version with removed falsy dependencies from pyinfra

commit 202ce84419465ddcbe3e263e58917cc92b2639a6
Author: Julius Unverfehrt <julius.unverfehrt@iqser.com>
Date:   Tue Mar 28 17:27:44 2023 +0200

    update pyinfra for bugfix

commit 87122ffb965c016383bfd49e2eaaa6ab3b5d7101
Author: Julius Unverfehrt <julius.unverfehrt@iqser.com>
Date:   Tue Mar 28 15:50:29 2023 +0200

    Update pyinfra for multi-tenancy support

    Update serve script with PayloadProcessor from pyinfra
2023-03-28 18:12:01 +02:00
2023-01-03 11:38:33 +01:00
2023-01-03 10:01:03 +01:00
2023-01-03 10:01:03 +01:00
2022-07-27 10:50:10 +02:00
2022-03-23 14:35:00 +01:00
2022-08-03 15:04:27 +02:00

cv-analysis — Visual (CV-Based) Document Parsing

This repository implements computer vision based approaches for detecting and parsing visual features such as tables or previous redactions in documents.

Installation

git clone ssh://git@git.iqser.com:2222/rr/cv-analysis.git
cd cv-analysis

python -m venv env
source env/bin/activate

pip install -e .
pip install -r requirements.txt

dvc pull

Usage

As an API

The module provided functions for the individual tasks that all return some kind of collection of points, depending on the specific task.

Redaction Detection (API)

The below snippet shows hot to find the outlines of previous redactions.

from cv_analysis.redaction_detection import find_redactions
import pdf2image 
import numpy as np


pdf_path = ...
page_index = ...

page = pdf2image.convert_from_path(pdf_path, first_page=page_index, last_page=page_index)[0]
page = np.array(page)

redaction_contours = find_redactions(page)

As a CLI Tool

Core API functionalities can be used through a CLI.

Table Parsing

The tables parsing utility detects and segments tables into individual cells.

python scripts/annotate.py data/test_pdf.pdf 7 --type table

The below image shows a parsed table, where each table cell has been detected individually.

Table Parsing Demonstration

Redaction Detection (CLI)

The redaction detection utility detects previous redactions in PDFs (filled black rectangles).

python scripts/annotate.py data/test_pdf.pdf 2 --type redaction

The below image shows the detected redactions with green outlines.

Redaction Detection Demonstration

Layout Parsing

The layout parsing utility detects elements such as paragraphs, tables and figures.

python scripts/annotate.py data/test_pdf.pdf 7 --type layout

The below image shows the detected layout elements on a page.

Layout Parsing Demonstration

Figure Detection

The figure detection utility detects figures specifically, which can be missed by the generic layout parsing utility.

python scripts/annotate.py data/test_pdf.pdf 3 --type figure

The below image shows the detected figure on a page.

Figure Detection Demonstration

Running as a service

Building

Build base image

bash setup/docker.sh

Build head image

docker build -f Dockerfile -t cv-analysis . --build-arg BASE_ROOT=""

Usage (service)

Shell 1

docker run --rm --net=host --rm cv-analysis

Shell 2

python scripts/client_mock.py --pdf_path /path/to/a/pdf
Description
Analysis container service for visual (CV-based) document parsing
Readme 58 MiB
2025-01-16 09:31:10 +01:00
Languages
Python 91.1%
Shell 3%
Makefile 2.4%
Dockerfile 2.3%
Nix 1.2%