cv-analysis-service/cv_analysis/redaction_detection.py
Julius Unverfehrt ce9e92876c Pull request #16: Add table parsing fixtures
Merge in RR/cv-analysis from add_table_parsing_fixtures to master

Squashed commit of the following:

commit cfc89b421b61082c8e92e1971c9d0bf4490fa07e
Merge: a7ecb05 73c66a8
Author: Julius Unverfehrt <julius.unverfehrt@iqser.com>
Date:   Mon Jul 11 12:19:01 2022 +0200

    Merge branch 'master' of ssh://git.iqser.com:2222/rr/cv-analysis into add_table_parsing_fixtures

commit a7ecb05b7d8327f0c7429180f63a380b61b06bc3
Author: Julius Unverfehrt <julius.unverfehrt@iqser.com>
Date:   Mon Jul 11 12:02:07 2022 +0200

    refactor

commit 466f217e5a9ee5c54fd38c6acd28d54fc38ff9bb
Author: llocarnini <lillian.locarnini@iqser.com>
Date:   Mon Jul 11 10:24:14 2022 +0200

    deleted unused imports and unused lines of code

commit c58955c8658d0631cdd1c24c8556d399e3fd9990
Author: llocarnini <lillian.locarnini@iqser.com>
Date:   Mon Jul 11 10:16:01 2022 +0200

    black reformatted files

commit f8bcb10a00ff7f0da49b80c1609b17997411985a
Author: llocarnini <lillian.locarnini@iqser.com>
Date:   Tue Jul 5 15:15:00 2022 +0200

    reformat files

commit 432e8a569fd70bd0745ce0549c2bfd2f2e907763
Author: llocarnini <lillian.locarnini@iqser.com>
Date:   Tue Jul 5 15:08:22 2022 +0200

    added better test for generic pages with table WIP as thicker lines create inconsistent results.
    added test for patchy tables which does not work yet

commit 2aac9ebf5c76bd963f8c136fe5dd4c2d7681b469
Author: llocarnini <lillian.locarnini@iqser.com>
Date:   Mon Jul 4 16:56:29 2022 +0200

    added new fixtures for table_parsing_test.py

commit 37606cac0301b13e99be2c16d95867477f29e7c4
Author: llocarnini <lillian.locarnini@iqser.com>
Date:   Fri Jul 1 16:02:44 2022 +0200

    added separate file for table parsing fixtures, where fixtures for generic tables were added. WIP tests for generic table fixtures
2022-07-11 12:25:16 +02:00

62 lines
1.9 KiB
Python

from functools import partial
import cv2
import numpy as np
import pdf2image
from iteration_utilities import starfilter, first
from cv_analysis.utils.display import show_mpl
from cv_analysis.utils.draw import draw_contours
from cv_analysis.utils.filters import is_large_enough, is_filled, is_boxy
from cv_analysis.utils.visual_logging import vizlogger
def is_likely_redaction(contour, hierarchy, min_area):
return (
is_filled(hierarchy) and is_boxy(contour) and is_large_enough(contour, min_area)
)
def find_redactions(image: np.array, min_normalized_area=200000):
vizlogger.debug(image, "redactions01_start.png")
min_normalized_area /= 200 # Assumes 200 DPI PDF -> image conversion resolution
if len(image.shape) > 2:
gray = ~cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
else:
gray = ~image
vizlogger.debug(gray, "redactions02_gray.png")
blurred = cv2.GaussianBlur(gray, (5, 5), 1)
vizlogger.debug(blurred, "redactions03_blur.png")
thresh = cv2.threshold(blurred, 252, 255, cv2.THRESH_BINARY)[1]
vizlogger.debug(blurred, "redactions04_threshold.png")
contours, hierarchies = cv2.findContours(
thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE
)
try:
contours = map(
first,
starfilter(
partial(is_likely_redaction, min_area=min_normalized_area),
zip(contours, hierarchies[0]),
),
)
return list(contours)
except:
return []
# def annotate_redactions_in_pdf(page, show=False):
# #page = pdf2image.convert_from_path(pdf_path, first_page=page_index + 1, last_page=page_index + 1)[0]
# #page = np.array(page)
# redaction_contours = find_redactions(page)
# page = draw_contours(page, redaction_contours)
# vizlogger.debug(page, "redactions05_output.png")
# if show:
# show_mpl(page)