Close LGVISIUM-63: Extraction of the groundwater logo using computer vision

[dcleres]

Addition of template matching to the code. This should make it possible to find groundwater information without the respective keywords.

In this PR, I also tried to remove the keywords that were not used and to remove them if needed. Furthermore, I added a list of FP keywords. This list contains keywords that were leading to false positives in the detections.

[github-actions]

Coverage Report

File	Stmts	Miss	Cover	Missing
src/stratigraphy
__init__.py	8	1	88%	11
extract.py	186	186	0%	3–483
get_files.py	19	19	0%	3–47
main.py	117	117	0%	3–308
src/stratigraphy/data_extractor
data_extractor.py	62	6	90%	32, 65, 106, 119–121
src/stratigraphy/depthcolumn
boundarydepthcolumnvalidator.py	41	20	51%	47, 57, 60, 81–84, 110–128, 140–149
depthcolumn.py	194	64	67%	25, 29, 50, 56, 59–60, 84, 87, 94, 101, 109–110, 120, 137–153, 191, 228, 247–255, 266, 271, 278, 309, 314–321, 336–337, 380–422
depthcolumnentry.py	28	6	79%	17, 21, 36, 39, 56, 65
find_depth_columns.py	106	19	82%	42–43, 73, 86, 180–181, 225–245
src/stratigraphy/layer
layer_identifier_column.py	74	52	30%	16–17, 20, 28, 43, 47, 51, 59–63, 66, 74, 91–96, 99, 112, 125–126, 148–158, 172–199
src/stratigraphy/lines
geometric_line_utilities.py	86	2	98%	81, 131
line.py	51	4	92%	25, 50, 60, 110
linesquadtree.py	46	1	98%	75
src/stratigraphy/metadata
coordinate_extraction.py	108	5	95%	30, 64, 83–84, 96
src/stratigraphy/text
description_block_splitter.py	70	2	97%	24, 139
extract_text.py	29	3	90%	19, 53–54
find_description.py	64	28	56%	27–35, 50–63, 79–95, 172–175
textblock.py	80	9	89%	28, 56, 64, 89, 101, 124, 145, 154, 183
src/stratigraphy/util
dataclasses.py	32	3	91%	37–39
interval.py	104	55	47%	29–32, 37–40, 46, 52, 56, 66–68, 107–153, 174, 180–196
predictions.py	107	107	0%	3–282
util.py	39	17	56%	41, 69–76, 90–92, 116–117, 129–133
TOTAL	1651	726	56%

Tests	Skipped	Failures	Errors	Time
79	0 💤	0 ❌	0 🔥	5.579s ⏱️