mirror of
https://github.com/qurator-spk/sbb_textline_detection.git
synced 2025-06-13 13:50:03 +02:00
Merge commit '5fb30a7a1f
'
This commit is contained in:
commit
643a8c6686
8 changed files with 235 additions and 36 deletions
2
.gitignore
vendored
Normal file
2
.gitignore
vendored
Normal file
|
@ -0,0 +1,2 @@
|
|||
__pycache__
|
||||
*.egg-info
|
201
LICENSE
Normal file
201
LICENSE
Normal file
|
@ -0,0 +1,201 @@
|
|||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
||||
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
||||
|
||||
1. Definitions.
|
||||
|
||||
"License" shall mean the terms and conditions for use, reproduction,
|
||||
and distribution as defined by Sections 1 through 9 of this document.
|
||||
|
||||
"Licensor" shall mean the copyright owner or entity authorized by
|
||||
the copyright owner that is granting the License.
|
||||
|
||||
"Legal Entity" shall mean the union of the acting entity and all
|
||||
other entities that control, are controlled by, or are under common
|
||||
control with that entity. For the purposes of this definition,
|
||||
"control" means (i) the power, direct or indirect, to cause the
|
||||
direction or management of such entity, whether by contract or
|
||||
otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
||||
outstanding shares, or (iii) beneficial ownership of such entity.
|
||||
|
||||
"You" (or "Your") shall mean an individual or Legal Entity
|
||||
exercising permissions granted by this License.
|
||||
|
||||
"Source" form shall mean the preferred form for making modifications,
|
||||
including but not limited to software source code, documentation
|
||||
source, and configuration files.
|
||||
|
||||
"Object" form shall mean any form resulting from mechanical
|
||||
transformation or translation of a Source form, including but
|
||||
not limited to compiled object code, generated documentation,
|
||||
and conversions to other media types.
|
||||
|
||||
"Work" shall mean the work of authorship, whether in Source or
|
||||
Object form, made available under the License, as indicated by a
|
||||
copyright notice that is included in or attached to the work
|
||||
(an example is provided in the Appendix below).
|
||||
|
||||
"Derivative Works" shall mean any work, whether in Source or Object
|
||||
form, that is based on (or derived from) the Work and for which the
|
||||
editorial revisions, annotations, elaborations, or other modifications
|
||||
represent, as a whole, an original work of authorship. For the purposes
|
||||
of this License, Derivative Works shall not include works that remain
|
||||
separable from, or merely link (or bind by name) to the interfaces of,
|
||||
the Work and Derivative Works thereof.
|
||||
|
||||
"Contribution" shall mean any work of authorship, including
|
||||
the original version of the Work and any modifications or additions
|
||||
to that Work or Derivative Works thereof, that is intentionally
|
||||
submitted to Licensor for inclusion in the Work by the copyright owner
|
||||
or by an individual or Legal Entity authorized to submit on behalf of
|
||||
the copyright owner. For the purposes of this definition, "submitted"
|
||||
means any form of electronic, verbal, or written communication sent
|
||||
to the Licensor or its representatives, including but not limited to
|
||||
communication on electronic mailing lists, source code control systems,
|
||||
and issue tracking systems that are managed by, or on behalf of, the
|
||||
Licensor for the purpose of discussing and improving the Work, but
|
||||
excluding communication that is conspicuously marked or otherwise
|
||||
designated in writing by the copyright owner as "Not a Contribution."
|
||||
|
||||
"Contributor" shall mean Licensor and any individual or Legal Entity
|
||||
on behalf of whom a Contribution has been received by Licensor and
|
||||
subsequently incorporated within the Work.
|
||||
|
||||
2. Grant of Copyright License. Subject to the terms and conditions of
|
||||
this License, each Contributor hereby grants to You a perpetual,
|
||||
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
||||
copyright license to reproduce, prepare Derivative Works of,
|
||||
publicly display, publicly perform, sublicense, and distribute the
|
||||
Work and such Derivative Works in Source or Object form.
|
||||
|
||||
3. Grant of Patent License. Subject to the terms and conditions of
|
||||
this License, each Contributor hereby grants to You a perpetual,
|
||||
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
||||
(except as stated in this section) patent license to make, have made,
|
||||
use, offer to sell, sell, import, and otherwise transfer the Work,
|
||||
where such license applies only to those patent claims licensable
|
||||
by such Contributor that are necessarily infringed by their
|
||||
Contribution(s) alone or by combination of their Contribution(s)
|
||||
with the Work to which such Contribution(s) was submitted. If You
|
||||
institute patent litigation against any entity (including a
|
||||
cross-claim or counterclaim in a lawsuit) alleging that the Work
|
||||
or a Contribution incorporated within the Work constitutes direct
|
||||
or contributory patent infringement, then any patent licenses
|
||||
granted to You under this License for that Work shall terminate
|
||||
as of the date such litigation is filed.
|
||||
|
||||
4. Redistribution. You may reproduce and distribute copies of the
|
||||
Work or Derivative Works thereof in any medium, with or without
|
||||
modifications, and in Source or Object form, provided that You
|
||||
meet the following conditions:
|
||||
|
||||
(a) You must give any other recipients of the Work or
|
||||
Derivative Works a copy of this License; and
|
||||
|
||||
(b) You must cause any modified files to carry prominent notices
|
||||
stating that You changed the files; and
|
||||
|
||||
(c) You must retain, in the Source form of any Derivative Works
|
||||
that You distribute, all copyright, patent, trademark, and
|
||||
attribution notices from the Source form of the Work,
|
||||
excluding those notices that do not pertain to any part of
|
||||
the Derivative Works; and
|
||||
|
||||
(d) If the Work includes a "NOTICE" text file as part of its
|
||||
distribution, then any Derivative Works that You distribute must
|
||||
include a readable copy of the attribution notices contained
|
||||
within such NOTICE file, excluding those notices that do not
|
||||
pertain to any part of the Derivative Works, in at least one
|
||||
of the following places: within a NOTICE text file distributed
|
||||
as part of the Derivative Works; within the Source form or
|
||||
documentation, if provided along with the Derivative Works; or,
|
||||
within a display generated by the Derivative Works, if and
|
||||
wherever such third-party notices normally appear. The contents
|
||||
of the NOTICE file are for informational purposes only and
|
||||
do not modify the License. You may add Your own attribution
|
||||
notices within Derivative Works that You distribute, alongside
|
||||
or as an addendum to the NOTICE text from the Work, provided
|
||||
that such additional attribution notices cannot be construed
|
||||
as modifying the License.
|
||||
|
||||
You may add Your own copyright statement to Your modifications and
|
||||
may provide additional or different license terms and conditions
|
||||
for use, reproduction, or distribution of Your modifications, or
|
||||
for any such Derivative Works as a whole, provided Your use,
|
||||
reproduction, and distribution of the Work otherwise complies with
|
||||
the conditions stated in this License.
|
||||
|
||||
5. Submission of Contributions. Unless You explicitly state otherwise,
|
||||
any Contribution intentionally submitted for inclusion in the Work
|
||||
by You to the Licensor shall be under the terms and conditions of
|
||||
this License, without any additional terms or conditions.
|
||||
Notwithstanding the above, nothing herein shall supersede or modify
|
||||
the terms of any separate license agreement you may have executed
|
||||
with Licensor regarding such Contributions.
|
||||
|
||||
6. Trademarks. This License does not grant permission to use the trade
|
||||
names, trademarks, service marks, or product names of the Licensor,
|
||||
except as required for reasonable and customary use in describing the
|
||||
origin of the Work and reproducing the content of the NOTICE file.
|
||||
|
||||
7. Disclaimer of Warranty. Unless required by applicable law or
|
||||
agreed to in writing, Licensor provides the Work (and each
|
||||
Contributor provides its Contributions) on an "AS IS" BASIS,
|
||||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
|
||||
implied, including, without limitation, any warranties or conditions
|
||||
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
|
||||
PARTICULAR PURPOSE. You are solely responsible for determining the
|
||||
appropriateness of using or redistributing the Work and assume any
|
||||
risks associated with Your exercise of permissions under this License.
|
||||
|
||||
8. Limitation of Liability. In no event and under no legal theory,
|
||||
whether in tort (including negligence), contract, or otherwise,
|
||||
unless required by applicable law (such as deliberate and grossly
|
||||
negligent acts) or agreed to in writing, shall any Contributor be
|
||||
liable to You for damages, including any direct, indirect, special,
|
||||
incidental, or consequential damages of any character arising as a
|
||||
result of this License or out of the use or inability to use the
|
||||
Work (including but not limited to damages for loss of goodwill,
|
||||
work stoppage, computer failure or malfunction, or any and all
|
||||
other commercial damages or losses), even if such Contributor
|
||||
has been advised of the possibility of such damages.
|
||||
|
||||
9. Accepting Warranty or Additional Liability. While redistributing
|
||||
the Work or Derivative Works thereof, You may choose to offer,
|
||||
and charge a fee for, acceptance of support, warranty, indemnity,
|
||||
or other liability obligations and/or rights consistent with this
|
||||
License. However, in accepting such obligations, You may act only
|
||||
on Your own behalf and on Your sole responsibility, not on behalf
|
||||
of any other Contributor, and only if You agree to indemnify,
|
||||
defend, and hold each Contributor harmless for any liability
|
||||
incurred by, or claims asserted against, such Contributor by reason
|
||||
of your accepting any such warranty or additional liability.
|
||||
|
||||
END OF TERMS AND CONDITIONS
|
||||
|
||||
APPENDIX: How to apply the Apache License to your work.
|
||||
|
||||
To apply the Apache License to your work, attach the following
|
||||
boilerplate notice, with the fields enclosed by brackets "[]"
|
||||
replaced with your own identifying information. (Don't include
|
||||
the brackets!) The text should be enclosed in the appropriate
|
||||
comment syntax for the file format. We also recommend that a
|
||||
file or class name and description of purpose be included on the
|
||||
same "printed page" as the copyright notice for easier
|
||||
identification within third-party archives.
|
||||
|
||||
Copyright [yyyy] [name of copyright owner]
|
||||
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
You may obtain a copy of the License at
|
||||
|
||||
http://www.apache.org/licenses/LICENSE-2.0
|
||||
|
||||
Unless required by applicable law or agreed to in writing, software
|
||||
distributed under the License is distributed on an "AS IS" BASIS,
|
||||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
See the License for the specific language governing permissions and
|
||||
limitations under the License.
|
26
README.md
26
README.md
|
@ -1,27 +1,25 @@
|
|||
# Textline-Recognition
|
||||
# Textline Detection
|
||||
|
||||
***
|
||||
# Tool
|
||||
This tool does textline detection of image and throw result as xml data.
|
||||
## Introduction
|
||||
This tool performs textline detection from document image data and returns the results as PAGE-XML.
|
||||
|
||||
# Models
|
||||
In order to run this tool you need corresponding models. You can find them here:
|
||||
## Installation
|
||||
|
||||
`pip install .`
|
||||
|
||||
## Models
|
||||
In order to run this tool you also need trained models. You can download our pre-trained models from here:
|
||||
https://file.spk-berlin.de:8443/textline_detection/
|
||||
|
||||
# Installation
|
||||
|
||||
sudo pip install .
|
||||
|
||||
# Usage
|
||||
|
||||
sbb_textline_detector -i 'image file name' -o 'directory to write output xml' -m 'directory of models'
|
||||
## Usage
|
||||
|
||||
`sbb_textline_detector -i <image file name> -o <directory to write output xml> -m <directory of models>`
|
||||
|
||||
## Usage with OCR-D
|
||||
|
||||
~~~
|
||||
ocrd-example-binarize -I OCR-D-IMG -O OCR-D-IMG-BIN
|
||||
ocrd_sbb_textline_detector -I OCR-D-IMG-BIN -O OCR-D-SEG-LINE-SBB \
|
||||
ocrd-sbb-textline-detector -I OCR-D-IMG-BIN -O OCR-D-SEG-LINE-SBB \
|
||||
-p '{ "model": "/path/to/the/models/textline_detection" }'
|
||||
~~~
|
||||
|
||||
|
|
|
@ -34,11 +34,11 @@ with warnings.catch_warnings():
|
|||
|
||||
__doc__ = \
|
||||
"""
|
||||
tool to extract table form data from alto xml data
|
||||
tool to extract text lines from document images
|
||||
"""
|
||||
|
||||
|
||||
class textlineerkenner:
|
||||
class textline_detector:
|
||||
def __init__(self, image_dir, dir_out, f_name, dir_models):
|
||||
self.image_dir = image_dir # XXX This does not seem to be a directory as the name suggests, but a file
|
||||
self.dir_out = dir_out
|
||||
|
@ -70,7 +70,7 @@ class textlineerkenner:
|
|||
np.array([point for point in polygon.exterior.coords], dtype=np.uint))
|
||||
return found_polygons_early
|
||||
|
||||
def filter_contours_area_of_image(self, image, contours, hirarchy, max_area, min_area):
|
||||
def filter_contours_area_of_image(self, image, contours, hierarchy, max_area, min_area):
|
||||
found_polygons_early = list()
|
||||
|
||||
jv = 0
|
||||
|
@ -81,13 +81,13 @@ class textlineerkenner:
|
|||
polygon = geometry.Polygon([point[0] for point in c])
|
||||
area = polygon.area
|
||||
if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(
|
||||
image.shape[:2]) and hirarchy[0][jv][3] == -1 : # and hirarchy[0][jv][3]==-1 :
|
||||
image.shape[:2]) and hierarchy[0][jv][3] == -1 : # and hierarchy[0][jv][3]==-1 :
|
||||
found_polygons_early.append(
|
||||
np.array([ [point] for point in polygon.exterior.coords], dtype=np.uint))
|
||||
jv += 1
|
||||
return found_polygons_early
|
||||
|
||||
def filter_contours_area_of_image_interiors(self, image, contours, hirarchy, max_area, min_area):
|
||||
def filter_contours_area_of_image_interiors(self, image, contours, hierarchy, max_area, min_area):
|
||||
found_polygons_early = list()
|
||||
|
||||
jv = 0
|
||||
|
@ -98,7 +98,7 @@ class textlineerkenner:
|
|||
polygon = geometry.Polygon([point[0] for point in c])
|
||||
area = polygon.area
|
||||
if area >= min_area * np.prod(image.shape[:2]) and area <= max_area * np.prod(image.shape[:2]) and \
|
||||
hirarchy[0][jv][3] != -1:
|
||||
hierarchy[0][jv][3] != -1:
|
||||
# print(c[0][0][1])
|
||||
found_polygons_early.append(
|
||||
np.array([point for point in polygon.exterior.coords], dtype=np.uint))
|
||||
|
@ -486,9 +486,9 @@ class textlineerkenner:
|
|||
|
||||
_, thresh = cv2.threshold(imgray, 0, 255, 0)
|
||||
|
||||
contours, hirarchy = cv2.findContours(thresh.copy(), cv2.cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
|
||||
contours, hierarchy = cv2.findContours(thresh.copy(), cv2.cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
|
||||
|
||||
main_contours = self.filter_contours_area_of_image(thresh, contours, hirarchy, max_area=1, min_area=0.00001)
|
||||
main_contours = self.filter_contours_area_of_image(thresh, contours, hierarchy, max_area=1, min_area=0.00001)
|
||||
self.boxes = []
|
||||
|
||||
for jj in range(len(main_contours)):
|
||||
|
@ -916,8 +916,8 @@ class textlineerkenner:
|
|||
image_box_tabels=image_box_tabels.astype(np.uint8)
|
||||
imgray = cv2.cvtColor(image_box_tabels, cv2.COLOR_BGR2GRAY)
|
||||
ret, thresh = cv2.threshold(imgray, 0, 255, 0)
|
||||
contours,hierachy=cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
|
||||
return contours,hierachy
|
||||
contours,hierarchy=cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
|
||||
return contours,hierarchy
|
||||
|
||||
def find_contours_mean_y_diff(self,contours_main):
|
||||
M_main=[cv2.moments(contours_main[j]) for j in range(len(contours_main))]
|
||||
|
@ -1236,9 +1236,9 @@ class textlineerkenner:
|
|||
# create the file structure
|
||||
data = ET.Element('PcGts')
|
||||
|
||||
data.set('xmlns',"http://schema.primaresearch.org/PAGE/gts/pagecontent/2017-07-15")
|
||||
data.set('xmlns',"http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15")
|
||||
data.set('xmlns:xsi',"http://www.w3.org/2001/XMLSchema-instance")
|
||||
data.set('xsi:schemaLocation',"http://schema.primaresearch.org/PAGE/gts/pagecontent/2017-07-15")
|
||||
data.set('xsi:schemaLocation',"http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15")
|
||||
|
||||
|
||||
|
||||
|
@ -1378,7 +1378,7 @@ class textlineerkenner:
|
|||
|
||||
def run(self):
|
||||
|
||||
#get image and sclaes, then extract the page of scanned image
|
||||
#get image and scales, then extract the page of scanned image
|
||||
t1=time.time()
|
||||
self.get_image_and_scales()
|
||||
image_page,page_coord=self.extract_page()
|
||||
|
@ -1475,7 +1475,7 @@ class textlineerkenner:
|
|||
def main(image, out, model):
|
||||
possibles = globals() # XXX unused?
|
||||
possibles.update(locals())
|
||||
x = textlineerkenner(image, out, None, model)
|
||||
x = textline_detector(image, out, None, model)
|
||||
x.run()
|
||||
|
||||
|
||||
|
|
|
@ -1,8 +1,8 @@
|
|||
{
|
||||
"version": "0.0.1",
|
||||
"tools": {
|
||||
"ocrd_sbb_textline_detector": {
|
||||
"executable": "ocrd_sbb_textline_detector",
|
||||
"ocrd-sbb-textline-detector": {
|
||||
"executable": "ocrd-sbb-textline-detector",
|
||||
"description": "Detect lines",
|
||||
"steps": ["layout/segmentation/line"],
|
||||
"input_file_grp": [
|
||||
|
|
|
@ -12,7 +12,7 @@ from ocrd_models.ocrd_page_generateds import MetadataItemType, LabelsType, Label
|
|||
from ocrd_utils import concat_padded, getLogger, MIMETYPE_PAGE
|
||||
from pkg_resources import resource_string
|
||||
|
||||
from qurator.sbb_textline_detector import textlineerkenner
|
||||
from qurator.sbb_textline_detector import textline_detector
|
||||
|
||||
log = getLogger('processor.OcrdSbbTextlineDetectorRecognize')
|
||||
|
||||
|
@ -67,7 +67,7 @@ class OcrdSbbTextlineDetectorRecognize(Processor):
|
|||
# Segment the image
|
||||
image_file = self._resolve_image_file(input_file)
|
||||
model = self.parameter['model']
|
||||
x = textlineerkenner(image_file, tmp_dirname, file_id, model)
|
||||
x = textline_detector(image_file, tmp_dirname, file_id, model)
|
||||
x.run()
|
||||
|
||||
# Read segmentation results
|
||||
|
|
|
@ -1,5 +1,4 @@
|
|||
opencv-python
|
||||
numpy
|
||||
opencv-python-headless
|
||||
matplotlib
|
||||
seaborn
|
||||
tqdm
|
||||
|
@ -8,5 +7,4 @@ shapely
|
|||
scikit-learn
|
||||
tensorflow-gpu < 2.0
|
||||
scipy
|
||||
click
|
||||
ocrd >= 2.0.0
|
||||
|
|
2
setup.py
2
setup.py
|
@ -24,7 +24,7 @@ setup(
|
|||
entry_points={
|
||||
'console_scripts': [
|
||||
"sbb_textline_detector=qurator.sbb_textline_detector:main",
|
||||
"ocrd_sbb_textline_detector=qurator.sbb_textline_detector:ocrd_sbb_textline_detector",
|
||||
"ocrd-sbb-textline-detector=qurator.sbb_textline_detector:ocrd_sbb_textline_detector",
|
||||
]
|
||||
},
|
||||
python_requires='>=3.6.0',
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue