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86 Commits
Author SHA1 Message Date
James R. Barlow 12e15bab15 v7.3.0 release notes 2018-11-11 02:05:52 -08:00
James R. Barlow 9593aa4fb9 Merge v7.3.0 development 2018-11-11 01:38:42 -08:00
James R. Barlow 817d520e63 Merge branch 'master' of github.com:jbarlow83/OCRmyPDF 2018-11-11 01:34:00 -08:00
James R. Barlow 700abbb8a5 Documentation for OCR quality features 2018-11-10 15:48:41 -08:00
James R. Barlow 701ef1df3f Add threshold function to work around Tesseract's poor thresholding of bright backgrounds 2018-11-10 15:34:37 -08:00
James R. Barlow 0f5c484b62 Travis: only need to specify chardet because we use pip install --no-deps 2018-11-10 13:57:04 -08:00
James R. Barlow cc7f2a3f02 Fix Python 3.5 pathlib regressions 2018-11-10 02:11:23 -08:00
James R. Barlow 755b5d87e3 Add missing chardet, implied by pdfminer.six? 2018-11-10 01:50:51 -08:00
James R. Barlow e55a4115e1 Travis: pytest 3.10.0 internal error? 2018-11-10 01:44:05 -08:00
James R. Barlow 16a6fd2ea9 Update docs for --redo-ocr and --mask-barcodes 2018-11-10 01:34:33 -08:00
James R. Barlow e3fce112ed main.txt: wrong pdfminer 2018-11-10 01:32:27 -08:00
James R. Barlow eacd26a68b Mention v6.2.5 release 2018-11-10 01:10:45 -08:00
James R. Barlow 0e88b3c38a Update v7.3.0 release notes 2018-11-10 01:09:19 -08:00
James R. Barlow a2170ef8d6 test: test version check code 2018-11-10 00:56:22 -08:00
James R. Barlow eed0424390 Update requirements 2018-11-10 00:56:04 -08:00
James R. Barlow 5ed05e08b1 Fix "no languages" test and misuse of os.environ 2018-11-09 01:57:11 -08:00
James R. Barlow 58b26f6715 Leptonica: learn to despeckle 1bpp images 2018-11-07 01:49:13 -08:00
James R. Barlow 806daf4284 leptonica: reduce boilerplate for PIX (2/2) 2018-11-06 20:33:40 -08:00
James R. Barlow c64bc9329e leptonica: reduce boilerplate for wrapper classes (except PIX) 2018-11-06 20:12:09 -08:00
James R. Barlow dd01745519 Leptonica: add masked threshold fn 2018-11-06 19:31:06 -08:00
James R. Barlow 501ce726e7 Fix two failing tests 2018-11-06 11:16:08 -08:00
James R. Barlow 03076e89ce Leptonica: reduce verbosity, more error trapping, more garbage collection 2018-11-06 11:10:59 -08:00
James R. Barlow 02f37293ee Integrate barcode masking 2018-11-05 13:01:13 -08:00
James R. Barlow 590942ad14 Leptonica: Add barcode API 2018-11-05 01:48:38 -08:00
James R. Barlow 2ac028c759 test: Add a basic redo OCR test 2018-11-04 15:54:41 -08:00
James R. Barlow 2125b5bfab Remove text detection from our parser interpret_contents
It's redundant now
2018-11-04 15:47:55 -08:00
James R. Barlow b96532caa4 Only do detailed page analysis when needed by --redo-ocr 2018-11-04 15:40:49 -08:00
James R. Barlow 995fc58466 Move Ghostscript text analysis into its own module 2018-11-04 14:55:48 -08:00
James R. Barlow c023cae299 Make pdfminer Type3 patch conditional on PScript5.dll
It appears that PDFs created by this software have a bug in their BBox
which will cause us to misjudge the space occupied by the font.

Other programs probably work around this by ignoring BBox and reading
each character procedure.
2018-11-04 01:53:53 -07:00
James R. Barlow 237eaf9130 Exception message not printed in some cases
Closes #310
2018-11-03 17:10:24 -07:00
James R. Barlow 8b9ab25125 coverage: test compile leptonica 2018-11-02 01:55:25 -07:00
James R. Barlow 77e87abe8f coverage: ensure get_orientation is checked 2018-11-02 01:32:20 -07:00
James R. Barlow 3be02e1e8d coverage: improve leptonic; don't create objects with null pointers 2018-11-02 01:10:10 -07:00
James R. Barlow 64c9ede979 leptonica: barcodes, BOXA 2018-11-02 00:42:01 -07:00
James R. Barlow 5b8d197812 coverage: make it more likely timeout is tested 2018-11-02 00:41:15 -07:00
James R. Barlow 2cba62dc4f coverage: ensure rotation is actually tested 2018-11-02 00:40:56 -07:00
James R. Barlow 288e28328f coverage: add qpdf 2018-11-02 00:37:33 -07:00
James R. Barlow b8214b3c49 coverage: exclude unicodefun.py 2018-11-02 00:33:08 -07:00
James R. Barlow 8681693994 Set up code coverage (it works with multiprocessing now!) 2018-11-02 00:31:50 -07:00
James R. Barlow 1364c63b7c Fix failure to pickle file with AcroForm 2018-11-01 20:07:53 -07:00
James R. Barlow 4ba9e8fe25 Add AcroForm detection 2018-10-30 22:28:44 -07:00
James R. Barlow a195713bb4 Throw exception on corrupt text 2018-10-30 16:35:09 -07:00
James R. Barlow 600d31a907 Require pikepdf 0.3.7 2018-10-30 16:22:05 -07:00
James R. Barlow be31cec332 Add corrupt text warning (when using --redo-ocr) 2018-10-30 16:19:58 -07:00
James R. Barlow 22a7cd3421 Add argument checks for --redo-ocr 2018-10-30 16:19:13 -07:00
James R. Barlow 8b61d2d521 pdfminer: If font descent claims to be positive, treat it as negative 2018-10-30 14:40:53 -07:00
James R. Barlow 559e5269d2 Ensure inline image is parsed correctly
Requires pikepdf > 0.3.6
2018-10-29 23:30:53 -07:00
James R. Barlow ebf6acb318 pdfminer patch: Type3 font height calculation is incorrect
Not sure where it goes wrong or why it needs special treatment, but
this does address it.
2018-10-29 22:27:25 -07:00
James R. Barlow 7acd75f013 pipeline: fix bbox coordinates 2018-10-29 22:26:37 -07:00
James R. Barlow 93623b2226 Refactor TextboxInfo 2018-10-29 14:46:40 -07:00
James R. Barlow d71fd089cb layout: allow names beginning with /i0123 for now
Showed up in GGastro2.pdf. Need to check if this pattern has valid
Unicode mappings but allow for now.
2018-10-29 14:45:59 -07:00
James R. Barlow 05aa43c856 Require pdfminer 2018-10-29 12:45:15 -07:00
James R. Barlow de80fb6bc8 Fix some failing tests after --redo-ocr changes 2018-10-29 11:49:38 -07:00
James R. Barlow 8e396f4be2 Document --redo-ocr more accurately 2018-10-29 02:03:58 -07:00
James R. Barlow efec6da377 Fix error on serializing bad character markers
(Since they held a reference to their font, which in turn, had an
open file handle.)
2018-10-29 02:02:00 -07:00
James R. Barlow 00ef53195e Fix corrupt Unicode mapping detection's false positives 2018-10-29 01:30:19 -07:00
James R. Barlow f564aaf485 Remove only_ocr_text 2018-10-28 22:41:18 -07:00
James R. Barlow 5ac2d31d0d Redo OCR can now handle visible and invisible text, so adjust accordingly
Still can't filter out corrupt text
2018-10-28 14:06:25 -07:00
James R. Barlow fda890ab47 pdfinfo: further layout improvements
Rather than grouping visible/invisible in a custom analysis step,
use pdfminer's analysis and iterate.
Make iteration predicate and return more generic.
2018-10-28 14:05:50 -07:00
Stefan Weilandjbarlow83 a873278c2a Fix some recommendations from LGTM (#309)
* Fix unreachable code

This fixes an issue reported by LGTM.

Signed-off-by: Stefan Weil <sw@weilnetz.de>

* Remove unused imports

This fixes several recommendations from LGTM.

Signed-off-by: Stefan Weil <sw@weilnetz.de>
2018-10-28 13:59:58 -07:00
James R. Barlow e6d64be890 pdfinfo: formatting 2018-10-27 23:22:44 -07:00
James R. Barlow 0e4d978d20 pdfinfo: all -> not any 2018-10-27 23:22:28 -07:00
James R. Barlow b12c2cfedf Fix handling of Type3 fonts with no ToUnicode mapping 2018-10-27 01:24:48 -07:00
James R. Barlow 58cc70725e Reorganize around getting bboxes for visible/invisible text 2018-10-26 01:07:02 -07:00
James R. Barlow 339afb02aa --redo-ocr now works in the presence of printable text 2018-10-25 16:53:47 -07:00
James R. Barlow 7ba0ff5c36 Fix strip invisible text bug: missing BT operator 2018-10-25 16:52:23 -07:00
James R. Barlow ff41fbf673 Add pdfminer based layout analysis 2018-10-25 12:42:35 -07:00
James R. Barlow 2435cd23ce Move pdfinfo into a package 2018-10-25 00:37:38 -07:00
James R. Barlow a063cff720 Rename/expose strip_invisible_text 2018-10-24 21:53:24 -07:00
James R. Barlow 0d396e1ac0 option check: Remove always-True condition
Both renderers are now lossless reconstruction-capable. (Have
been since 7.0)
2018-10-22 22:13:59 -07:00
James R. Barlow f5807a2053 Require pikepdf 0.3.5 2018-10-21 21:37:15 -07:00
James R. Barlow eb4938a36f Fix KeyError 'has_vector' 2018-10-20 01:20:22 -07:00
James R. Barlow c5ad530bbf pdfinfo: reminder about 'INLINE IMAGE' sentinel 2018-10-20 01:17:08 -07:00
James R. Barlow d11c428407 Redo OCR: disallow in cases that will damage the output PDF 2018-10-20 01:14:33 -07:00
James R. Barlow 6182b1f53e Merge branch 'feature/remove-vectors' into feature/redo-ocr 2018-10-20 01:13:24 -07:00
James R. Barlow 00fc1a12e2 optimize: should remove unreference resources too 2018-10-19 00:03:56 -07:00
James R. Barlow 16af753206 Add functional "redo OCR" feature
Needs argument validation and some other changes. Needs testing
with mixed-content PDFs.

Only really works for pure invisible text at the moment.
2018-10-19 00:02:19 -07:00
James R. Barlow fa48205bb8 Add feature to remove vector graphics objects 2018-10-18 21:46:08 -07:00
James R. Barlow f7dbf94071 pipeline: if vector graphic objects exist, ensure the DPI is reasonable 2018-10-18 01:23:31 -07:00
James R. Barlow b18e66e2ca pdfinfo: learn to detect vector graphic objects 2018-10-18 01:21:51 -07:00
James R. Barlow 7a5504dfa5 pdfinfo: fix terminology (operands, command) -> (operands, operator) 2018-10-18 01:18:30 -07:00
James R. Barlow d1cad7bc68 Merge branch 'master' of github.com:jbarlow83/OCRmyPDF 2018-10-16 01:28:17 -07:00
Elliott Sales de Andradeandjbarlow83 c58d5c097c Add Fedora install instructions. (#304)
* Add Fedora install instructions.

* Fix path to fedora_rawhide badget
2018-10-14 13:28:50 -07:00
James R. Barlow 46157ca94e docs: some redundancies 2018-10-12 21:29:27 -07:00
jbarlow83andGitHub dd99511bcc Fix broken badges in README 2018-10-12 21:16:08 -07:00
M.Yasoob Ullah Khalid ☺andjbarlow83 5bc2efd3c7 Removed extra word from docs (#303) 2018-10-12 21:02:16 -07:00
36 changed files with 1449 additions and 355 deletions
+2 -1
View File
@@ -22,7 +22,7 @@ docs/Makefile
ocrmypdf/lib/_*.py
# Code coverage
.coverage
.coverage*
htmlcov/
# Testing
@@ -32,6 +32,7 @@ htmlcov/
*.profile
/*.pdf
/*.qdf
/*.png
/scratch.py
IDEAS
log/
+11 -3
View File
@@ -1,11 +1,13 @@
OCRmyPDF
========
![image](https://travis-ci.org/jbarlow83/OCRmyPDF.svg?branch=master%0A%20:target:%20https://travis-ci.org/jbarlow83/OCRmyPDF)
[![Travis build status][travis]](https://travis-ci.org/jbarlow83/OCRmyPDF) [![PyPI version][pypi]](https://pypi.org/project/ocrmypdf/) ![Homebrew version][homebrew]
![image](https://img.shields.io/pypi/v/ocrmypdf.svg%0A%20:target:%20https://pypi.org/project/ocrmypdf/)
[travis]: https://travis-ci.org/jbarlow83/OCRmyPDF.svg?branch=master "Travis build status"
![image](https://img.shields.io/homebrew/v/ocrmypdf.svg%0A%20:alt:%20homebrew%0A%20:target:%20http://brewformulas.org/Ocrmypdf)
[pypi]: https://img.shields.io/pypi/v/ocrmypdf.svg "PyPI version"
[homebrew]: https://img.shields.io/homebrew/v/ocrmypdf.svg "Homebrew version"
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched or copy-pasted.
@@ -64,6 +66,12 @@ Users of Debian 9 or later or Ubuntu 16.10 or later may simply
apt-get install ocrmypdf
```
and users of Fedora 29 or later may simply
```bash
dnf install ocrmypdf
```
and macOS users with Homebrew may simply
```bash
+3 -1
View File
@@ -13,7 +13,9 @@ If a page in a PDF seems to have text, by default OCRmyPDF will exit without mod
If ``--skip-text`` is issued, then no OCR will be performed on pages that already have text. The page will be copied to the output. This may be useful for documents that contain both "born digital" and scanned content, or to use OCRmyPDF to normalize and convert to PDF/A regardless of their contents.
If ``--force-ocr`` is issued, then all pages will be rasterized to images, discarding any hidden OCR text, and rasterizing any printable text. This is useful for redoing OCR, for fixing OCR text with a damaged character map (text is selectable but not searchable), and destroying redacted information.
If ``--redo-ocr`` is issued, then a detailed text analysis is performed. Text is categorized as either visible or invisible. Invisible text (OCR) is stripped out. Then an image of each page is created with visible text masked out. The page image is sent for OCR, and any additional text is inserted as OCR. If a file contains a mix of text and bitmap images that contain text, OCRmyPDF will locate the additional text in images without disrupting the existing text.
If ``--force-ocr`` is issued, then all pages will be rasterized to images, discarding any hidden OCR text, and rasterizing any printable text. This is useful for redoing OCR, for fixing OCR text with a damaged character map (text is selectable but not searchable), and destroying redacted information. Any forms and vector graphics will be rasterized as well.
Time and image size limits
+12 -21
View File
@@ -57,7 +57,6 @@ You can increase (decrease) the parameter ``--rotate-pages-threshold`` to make p
If the page is "just a little off horizontal", like a crooked picture, then you want ``--deskew``. ``--rotate-pages`` is for when the cardinal angle is wrong.
OCR languages other than English
""""""""""""""""""""""""""""""""
@@ -70,7 +69,6 @@ By default OCRmyPDF assumes the document is English.
Language packs must be installed for all languages specified. See :ref:`Installing additional language packs <lang-packs>`.
Produce PDF and text file containing OCR text
"""""""""""""""""""""""""""""""""""""""""""""
@@ -94,7 +92,7 @@ If you are starting with images, you can just use Tesseract 3.04 or later direct
# When there are multiple images
tesseract text-file-containing-list-of-image-filenames.txt output-prefix pdf
Tesseract's PDF output is quite good  OCRmyPDF uses it by internally by default. However, OCRmyPDF has many features not available in Tesseract like like image processing, metadata control, and PDF/A generation.
Tesseract's PDF output is quite good  OCRmyPDF uses it internally by default. However, OCRmyPDF has many features not available in Tesseract like like image processing, metadata control, and PDF/A generation.
Use a program like `img2pdf <https://gitlab.mister-muffin.de/josch/img2pdf>`_ to convert your images to PDFs, and then pipe the results to run ocrmypdf. The `-` tells ocrmypdf to read standard input.
@@ -116,7 +114,6 @@ If you have multiple images, you must use ``img2pdf`` to convert the images to P
ImageMagick ``convert`` can also convert a group of images to PDF, but in the author's experience it takes a long time, transcodes unnecessarily and gives poor results.
Image processing
----------------
@@ -132,6 +129,8 @@ OCRmyPDF perform some image processing on each page of a PDF, if desired. The s
* ``--clean-final`` uses unpaper to clean up pages before OCR and inserts the page into the final output. You will want to review each page to ensure that unpaper did not remove something important.
* ``-mask-barcodes`` will "cover up" any barcodes detected in the image of a page. Barcodes are known to confuse Tesseract OCR and interfere with the recognition of text on the same baseline as a barcode. The output file will contain the unaltered image of the barcode.
.. note::
In many cases image processing will rasterize PDF pages as images, potentially losing quality.
@@ -140,7 +139,6 @@ OCRmyPDF perform some image processing on each page of a PDF, if desired. The s
``--clean-final`` and ``-remove-background`` may leave undesirable visual artifacts in some images where their algorithms have shortcomings. Files should be visually reviewed after using these options.
OCR and correct document skew (crooked scan)
""""""""""""""""""""""""""""""""""""""""""""
@@ -167,28 +165,22 @@ If you set ``--tesseract-timeout 0`` OCRmyPDF will apply its image processing wi
ocrmypdf --tesseract-timeout=0 --remove-background input.pdf output.pdf
Redo OCR
""""""""
Redo existing OCR
"""""""""""""""""
To redo OCR on a file OCRed with other OCR software or a previous version of OCRmyPDF and/or Tesseract, you may use the ``--force-ocr`` argument. Normally, OCRmyPDF does not modify files that already appear to contain OCR text.
To redo OCR on a file OCRed with other OCR software or a previous version of OCRmyPDF and/or Tesseract, you may use the ``--redo-ocr`` argument. (Normally, OCRmyPDF will exit with an error if asked to modify a file with OCR.)
This may be helpful for users who want to take advantage of accuracy improvements in Tesseract 4.0 for files they previously OCRed with an earlier version of Tesseract and OCRmyPDF.
.. code-block:: bash
ocrmypdf --force-ocr input.pdf output.pdf
ocrmypdf --redo-ocr input.pdf output.pdf
Note that the method above will force rasterization of all pages, potentially reducing quality or losing vector content.
This method will replace OCR without rasterizing, reducing quality or removing vector content. If a file contains a mix of pure digital text and OCR, digital text will be ignored and OCR will be replaced. As such this mode is incompatible with image processing options, since they alter the appearance of the file.
To ensure quality is preserved, one could extract all of the images and rebuild the PDF for a lossless transformation. This recipe does not work when PDFs contain multiple images per page, as many do in practice. It will also lose any page rotation information.
.. code-block:: bash
pdfimages -all old-ocr.pdf prefix # extract all images
img2pdf -o temp.pdf prefix* # construct new PDF from the images
# review the new PDF to ensure it visually matches the old one
ocrmypdf --output-type pdf temp.pdf new-ocr.pdf
``--output-type pdf`` is used here to avoid using Ghostscript which will also rasterize images.
In some cases, existing OCR cannot be detected or replaced. Files produced by OCRmyPDF v2.2 or earlier, for example, are internally represented as having visible text with an opaque image drawn on top. This situation cannot be detected.
If ``--redo-ocr`` does not work, you can use ``--force-ocr``, which will force rasterization of all pages, potentially reducing quality or losing vector content.
Improving OCR quality
---------------------
@@ -199,7 +191,6 @@ Rotating pages and deskewing helps to ensure that the page orientation is correc
OCR quality will suffer if the resolution of input images is not correct (since the range of pixel sizes that will be checked for possible fonts will also be incorrect).
PDF optimization
----------------
+47 -8
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@@ -40,7 +40,7 @@ Debian and Ubuntu 16.10 or newer
+-------------------------------------------+
| **OCRmyPDF version** |
| **OCRmyPDF versions in Debian & Ubuntu** |
+-------------------------------------------+
| |latest| |
+-------------------------------------------+
@@ -63,6 +63,45 @@ For full details on version availability for your platform, check the `Debian Pa
OCRmyPDF for Debian and Ubuntu currently omit the JBIG2 encoder. OCRmyPDF works fine without it but will produce larger output files. If you build jbig2enc from source, ocrmypdf 7.0.0 and later will automatically detect it (specifically the ``jbig2`` binary) on the ``PATH``. To add JBIG2 encoding, see :ref:`jbig2`.
Fedora 29 or newer
^^^^^^^^^^^^^^^^^^
.. |fedora-29| image:: https://repology.org/badge/version-for-repo/fedora29/ocrmypdf.svg
:alt: Fedora 29
.. |fedora-rawhide| image:: https://repology.org/badge/version-for-repo/fedora_rawhide/ocrmypdf.svg
:alt: Fedore Rawhide
+------------------------------+
| **OCRmyPDF version** |
+------------------------------+
| |latest| |
+------------------------------+
| |fedora-29| |fedora-rawhide| |
+------------------------------+
Users of Fedora 29 later may simply
.. code-block:: bash
dnf install ocrmypdf
For full details on version availability, check the `Fedora Package Tracker
<https://apps.fedoraproject.org/packages/ocrmypdf>`_.
If the version available for your platform is out of date, you could opt to
install the latest version from source. See `Installing HEAD revision from
sources`_.
.. note::
OCRmyPDF for Fedora currently omits the JBIG2 encoder due to patent issues.
OCRmyPDF works fine without it but will produce larger output files. If you
build jbig2enc from source, ocrmypdf 7.0.0 and later will automatically
detect it on the ``PATH``. To add JBIG2 encoding, see `Installing the JBIG2
encoder`_.
Installing the latest version on Ubuntu 18.04 LTS
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -457,13 +496,15 @@ OCRmyPDF currently requires these external programs and libraries to be installe
- qpdf 8.1.0 or newer
- Tesseract 3.04 or newer
As of ocrmypdf 7.0.0, the following versions are recommended:
Using Python 3.5 in production is discouraged. Python 3.6 and 3.7 give much better performance.
As of ocrmypdf 7.2.1, the following versions are recommended:
- Python 3.7
- Ghostscript 9.23
- libexempi3 2.4.5
- qpdf 8.1.0
- Tesseract 4.0.0-beta1
- Ghostscript 9.23 or newer
- libexempi3 2.4.5 or newer
- qpdf 8.2.1
- Tesseract 4.0.0-rc1
- jbig2enc 0.29 or newer
- pngquant 2.5 or newer
- unpaper 6.1
@@ -478,8 +519,6 @@ jbig2enc, pngquant, and unpaper are optional. If missing certain features are di
These are in addition to the Python packaging dependencies, meaning that unfortunately, the ``pip install`` command cannot satisfy all of them.
Python 3.7 and Tesseract 4.0.0-beta.1 are recommended for best OCR results and best performance.
Installing HEAD revision from sources
-------------------------------------
+4 -4
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@@ -64,7 +64,7 @@ In the case of a PDF that is nothing other than a container of images (no rotati
OCRmyPDF uses several strategies depending on input options and the input PDF itself, but generally speaking it rasterizes a page for OCR and then grafts the OCR back onto the original. As such it can handle complex PDFs and still preserve their contents as much as possible.
OCRmyPDF also supports a many, many edge cases that have cropped over several years of development. We support PDF features like images inside of Form XObjects, and pages with UserUnit scaling. We support rare image formats like non-monochrome 1-bit images. Thanks to pikepdf and QPDF, we auto-repair PDFs that are damaged. (Not that you need to know what any of these are! You should be able to throw any PDF at it.)
OCRmyPDF also supports a many, many edge cases that have cropped over several years of development. We support PDF features like images inside of Form XObjects, and pages with UserUnit scaling. We support rare image formats like non-monochrome 1-bit images. We warn about files you may not to OCR. Thanks to pikepdf and QPDF, we auto-repair PDFs that are damaged. (Not that you need to know what any of these are! You should be able to throw any PDF at it.)
Limitations
@@ -76,20 +76,20 @@ OCRmyPDF is limited by the Tesseract OCR engine. As such it experiences these l
* It is not capable of recognizing handwriting.
* It may find gibberish and report this as OCR output.
* If a document contains languages outside of those given in the ``-l LANG`` arguments, results may be poor.
* It is not always good at analyzing the natural reading order of documents. For example, it may fail to recognize that a document contains two columns and join text across the columns.
* It is not always good at analyzing the natural reading order of documents. For example, it may fail to recognize that a document contains two columns, and may try to join text across columns.
* Poor quality scans may produce poor quality OCR. Garbage in, garbage out.
* It does not expose information about what font family text belongs to.
OCRmyPDF is also limited by the PDF specification:
* PDF encodes the position of text glyphs but does not encode document structure. There is no markup that divides a document in sections, paragraphs, sentences, or even words (since blank spaces are not represented). As such all elements of document structure including the spaces between words must be derived heuristically. Some PDF viewers do a better job of this than others.
* Because some popular open source PDF viewers have a particularly hard time with spaces betweem words, OCRmyPDF appends a space to each text element as a workaround. While this mixes document structure with graphical information that ideally should be left to the PDF viewer to interpret, it improves compatibility with some viewers and does not cause problems for better ones.
* Because some popular open source PDF viewers have a particularly hard time with spaces betweem words, OCRmyPDF appends a space to each text element as a workaround (when using ``--pdf-renderer hocr``). While this mixes document structure with graphical information that ideally should be left to the PDF viewer to interpret, it improves compatibility with some viewers and does not cause problems for better ones.
Ghostscript also imposes some limitations:
* PDFs containing JBIG2-encoded content will be converted to CCITT Group4 encoding, which has lower compression ratios, if Ghostscript PDF/A is enabled.
* PDFs containing JPEG 2000-encoded content will be converted to JPEG encoding, which may introduce compression artifacts, if Ghostscript PDF/A is enabled.
* Ghostscript may transcode grayscale and color images, either lossy to lossless or lossless to lossy, based on an internal algorithm. This behavior can be suppressed by setting ``--pdfa-image-compression`` to ``jpeg`` or ``lossless`` to set all images to one type or the other. Ghostscript has no option to maintain the input image's format.
* Ghostscript may transcode grayscale and color images, either lossy to lossless or lossless to lossy, based on an internal algorithm. This behavior can be suppressed by setting ``--pdfa-image-compression`` to ``jpeg`` or ``lossless`` to set all images to one type or the other. Ghostscript has no option to maintain the input image's format. (Ghostscript 9.25+ can copy JPEG images without transcoding them; earlier versions will transcode.)
Regarding OCRmyPDF itself:
+18 -3
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@@ -17,12 +17,27 @@ Debian and Ubuntu users
# Display a list of all Tesseract language packs
apt-cache search tesseract-ocr
# Debian/Ubuntu users
apt-get install tesseract-ocr-chi-sim # Example: Install Chinese Simplified language back
# Install Chinese Simplified language pack
apt-get install tesseract-ocr-chi-sim
You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as to what languages it should search for. Multiple
languages can be requested using either ``-l eng+fre`` (English and French) or ``-l eng -l fre``.
Fedora users
------------
.. code-block:: bash
# Display a list of all Tesseract language packs
dnf search tesseract
# Install Chinese Simplified language pack
dnf install tesseract-langpack-chi_sim
You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as to
what languages it should search for. Multiple languages can be requested using
either ``-l eng+fre`` (English and French) or ``-l eng -l fre``.
macOS users
-----------
+40
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@@ -14,6 +14,37 @@ Note that it is licensed under GPLv3, so scripts that ``import ocrmypdf`` and ar
replace: `#$1 <https://github.com/jbarlow83/OCRmyPDF/issues/$1>`_
v7.3.0
------
- Added a new feature ``--redo-ocr`` to detect existing OCR in a file, remove it, and redo the OCR. This may be particularly helpful for anyone who wants to take advantage of OCR quality improvements in Tesseract 4.0. Note that OCR added by OCRmyPDF before version 3.0 cannot be detected since it was not properly marked as invisible text in the earliest versions. OCR that constructs a font from visible text, such as Adobe Acrobat's ClearScan.
- OCRmyPDF's content detection is generally more sophisticated. It learns more about the contents of each PDF and makes better recommendations:
- OCRmyPDF can now detect when a PDF contains text that cannot be mapped to Unicode (meaning it is readable to human eyes but copy-pastes as gibberish). In these cases it recommends ``--force-ocr`` to make the text searchable.
- PDFs containing vector objects are now rendered at more appropriate resolution for OCR.
- We now exit with an error for PDFs that contain Adobe LiveCycle Designer's dynamic XFA forms. Currently the open source community does not have tools to work with these files.
- OCRmyPDF now warns when a PDF that contains Adobe AcroForms, since such files probably do not need OCR. It can work with these files.
- Added three new **experimental** features to improve OCR quality in certain conditions. The name, syntax and behavior of these arguments is subject to change. They may also be incompatible with some other features.
- ``--remove-vectors`` which strips out vector graphics. This can improve OCR quality since OCR will not search artwork for readable text; however, it currently removes "text as curves" as well.
- ``--mask-barcodes`` to detect and suppress barcodes in files. We have observed that barcodes can interfere with OCR because they are "text-like" but not actually textual.
- ``--threshold`` which uses a more sophisticated thresholding algorithm than is currently in use in Tesseract OCR. This works around a `known issue in Tesseract 4.0 <https://github.com/tesseract-ocr/tesseract/issues/1990>`_ with dark text on bright backgrounds.
- Fixed an issue where an error message was not reported when the installed Ghostscript was very old.
- The PDF optimizer now saves files with object streams enabled when the optimization level is ``--optimize 1`` or higher (the default). This makes files a little bit smaller, but requires PDF 1.5. PDF 1.5 was first released in 2003 and is broadly supported by PDF viewers, but some rudimentary PDF parsers such as PyPDF2 do not understand object streams. You can use the command line tool ``qpdf --object-streams=disable`` or `pikepdf <https://github.com/pikepdf/pikepdf>`_ library to remove them.
- New dependency: pdfminer.six 20181108. Note this is a fork of the Python 2-only pdfminer.
- Deprecation notice: At the end of 2018, we will be ending support for Python 3.5 and Tesseract 3.x. OCRmyPDF v7 will continue to work with older versions.
v7.2.1
------
@@ -152,6 +183,15 @@ v7.0.0
+ It may be necessary to separately ``pip install pycparser`` to avoid `another Python 3.7 issue <https://github.com/eliben/pycparser/pull/135>`_.
v6.2.5
------
- Disable a failing test due to Tesseract 4.0rc1 behavior change. Previously, Tesseract would exit with an error message if its configuration was invalid, and OCRmyPDF would intercept this message. Now Tesseract issues a warning, which OCRmyPDF v6.2.5 may relay or ignore. (In v7.x, OCRmyPDF will respond to the warning.)
- This release branch no longer supports using the optional PyMuPDF installation, since it was removed in v7.x.
- This release branch no longer supports macOS. macOS users should upgrade to v7.x.
v6.2.4
------
+1 -1
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@@ -1,4 +1,4 @@
check-manifest >= 0.35
twine >= 1.8.1
coverage >= 4.4
coverage >= 4.5
GitPython == 2.1.3
+7 -5
View File
@@ -1,11 +1,13 @@
# requirements.txt can be used to replicate the developer's build environment
# setup.py lists a separate set of requirements that are looser to simplify
# installation
chardet == 3.0.4
cffi == 1.11.5
img2pdf == 0.3.0
pikepdf == 0.3.4
img2pdf == 0.3.1
pdfminer.six == 20181108
pikepdf == 0.3.7
Pillow >= 5.0.0, != 5.1.0 ; sys_platform == "darwin"
pycparser == 2.18
pycparser == 2.19
python-xmp-toolkit == 2.0.1
reportlab == 3.4.0
ruffus == 2.7.0
reportlab == 3.5.9
ruffus == 2.8.0
+1 -1
View File
@@ -1,4 +1,4 @@
pytest >= 3.2
pytest == 3.9.3
pytest-helpers-namespace
pytest-xdist
pytest-cov
+3 -3
View File
@@ -28,7 +28,6 @@ from setuptools import setup, find_packages # nopep8
from subprocess import STDOUT, check_output, CalledProcessError # nopep8
from collections.abc import Mapping # nopep8
import re # nopep8
import os # nopep8
missing_program = '''
@@ -250,8 +249,9 @@ setup(
],
install_requires=[
'cffi >= 1.9.1', # must be a setup and install requirement
'img2pdf >= 0.2.4, < 0.4', # pure Python, so track HEAD closely
'pikepdf >= 0.3.3, < 0.4',
'img2pdf >= 0.3.0, < 0.4', # pure Python, so track HEAD closely
'pdfminer.six == 20181108',
'pikepdf >= 0.3.7, < 0.4',
'Pillow >= 4.0.0, != 5.1.0 ; sys_platform == "darwin"',
# Pillow < 4 has BytesIO/TIFF bug w/img2pdf 0.2.3
# block 5.1.0, broken wheels
+39 -7
View File
@@ -244,19 +244,38 @@ preprocessing.add_argument(
'--oversample', metavar='DPI', type=numeric(int, 0, 5000), default=0,
help="Oversample images to at least the specified DPI, to improve OCR "
"results slightly")
preprocessing.add_argument(
'--remove-vectors', action='store_true',
help="EXPERIMENTAL. Mask out any vector objects in the PDF so that they "
"will not be included in OCR. This can eliminate false characters.")
preprocessing.add_argument(
'--mask-barcodes', action='store_true',
help="EXPERIMENTAL. Mask out any barcodes that appear in the PDF so they are not "
"considered during OCR. Barcodes can introduce false characters into "
"OCR.")
preprocessing.add_argument(
'--threshold', action='store_true',
help="EXPERIMENTAL. Threshold image to 1bpp before sending it to Tesseract for OCR. Can "
"improve OCR quality compared to Tesseract's thresholder.")
ocrsettings = parser.add_argument_group(
"OCR options",
"Control how OCR is applied")
ocrsettings.add_argument(
'-f', '--force-ocr', action='store_true',
help="Rasterize any fonts or vector objects on each page, apply OCR, and "
help="Rasterize any text or vector objects on each page, apply OCR, and "
"save the rastered output (this rewrites the PDF)")
ocrsettings.add_argument(
'-s', '--skip-text', action='store_true',
help="Skip OCR on any pages that already contain text, but include the "
"page in final output; useful for PDFs that contain a mix of "
"images, text pages, and/or previously OCRed pages")
ocrsettings.add_argument(
'--redo-ocr', action='store_true',
help="Attempt to detect and remove the hidden OCR layer from files that "
"were previously OCRed with OCRmyPDF or another program. Apply OCR "
"to text found in raster images. Existing visible text objects will "
"not be changed. If there is no existing OCR, OCR will be added.")
ocrsettings.add_argument(
'--skip-big', type=numeric(float, 0, 5000), metavar='MPixels',
help="Skip OCR on pages larger than the specified amount of megapixels, "
@@ -461,12 +480,18 @@ def check_options_output(options, log):
)
lossless_reconstruction = False
if options.pdf_renderer in ('hocr', 'sandwich'):
if not any((options.deskew, options.clean_final, options.force_ocr,
options.remove_background)):
lossless_reconstruction = True
if not any((options.deskew, options.clean_final, options.force_ocr,
options.remove_background)):
lossless_reconstruction = True
options.lossless_reconstruction = lossless_reconstruction
if not options.lossless_reconstruction and options.redo_ocr:
raise argparse.ArgumentError(
None,
"--redo-ocr is not currently compatible with --deskew, "
"--clean-final, and --remove-background"
)
def check_options_sidecar(options, log):
if options.sidecar == '\0':
@@ -511,10 +536,15 @@ def check_options_preprocessing(options, log):
def check_options_ocr_behavior(options, log):
if options.force_ocr and options.skip_text:
exclusive_options = sum(
[(1 if opt else 0)
for opt in (options.force_ocr, options.skip_text, options.redo_ocr)
]
)
if exclusive_options >= 2:
raise argparse.ArgumentError(
None,
"Error: --force-ocr and --skip-text are mutually exclusive.")
"Error: choose only one of --force-ocr, --skip-text, --redo-ocr.")
def check_options_optimizing(options, log):
@@ -653,6 +683,8 @@ def do_ruffus_exception(ruffus_five_tuple, options, log):
try:
if isinstance(exc_value, exc_class):
exc_msg = str(exc_value)
elif isinstance(exc_value, str):
exc_msg = exc_value
else:
exc_msg = str(exc_class())
except Exception:
+75 -15
View File
@@ -33,7 +33,7 @@ from .hocrtransform import HocrTransform
from .pdfinfo import PdfInfo, Colorspace
from .pdfa import generate_pdfa_ps, encode_pdf_date
from .helpers import re_symlink, is_iterable_notstr, page_number, flatten_groups
from .exec import ghostscript, tesseract, qpdf
from .exec import ghostscript, tesseract
from .exceptions import UnsupportedImageFormatError, \
DpiError, PriorOcrFoundError, InputFileError, EncryptedPdfError
from . import leptonica
@@ -162,6 +162,10 @@ def repair_and_parse_pdf(
options = context.get_options()
copyfile(input_file, output_file)
detailed_page_analysis = False
if options.redo_ocr:
detailed_page_analysis = True
try:
pdfinfo = PdfInfo(output_file, log=log)
except pikepdf.PasswordError as e:
@@ -193,6 +197,25 @@ def repair_and_parse_pdf(
"high page count files. Python 3.6 or newer is recommended."
)
if pdfinfo.has_acroform:
if options.redo_ocr:
log.error(
"This PDF has a user fillable form. --redo-ocr is not "
"currently possible on such files."
)
raise PriorOcrFoundError()
else:
log.warning(
"This PDF has a fillable form. Chances are it is a pure digital "
"document that does not need OCR."
)
if not options.force_ocr:
log.info(
"Use the option --force-ocr to produce an image of the "
"form and all filled form fields. The output PDF will be "
"'flattened' and will no longer be fillable."
)
context.set_pdfinfo(pdfinfo)
log.debug(pdfinfo)
@@ -206,8 +229,12 @@ def get_pageinfo(input_file, context):
def get_page_dpi(pageinfo, options):
"Get the DPI when nonsquare DPI is tolerable"
xres = max(pageinfo.xres or VECTOR_PAGE_DPI, options.oversample or 0)
yres = max(pageinfo.yres or VECTOR_PAGE_DPI, options.oversample or 0)
xres = max(pageinfo.xres or VECTOR_PAGE_DPI,
options.oversample or 0,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0)
yres = max(pageinfo.yres or VECTOR_PAGE_DPI,
options.oversample or 0,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0)
return (float(xres), float(yres))
@@ -219,6 +246,7 @@ def get_page_square_dpi(pageinfo, options):
return float(max(
(xres * userunit) or VECTOR_PAGE_DPI,
(yres * userunit) or VECTOR_PAGE_DPI,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0,
options.oversample or 0))
@@ -227,6 +255,7 @@ def get_canvas_square_dpi(pageinfo, options):
return float(max(
(pageinfo.xres) or VECTOR_PAGE_DPI,
(pageinfo.yres) or VECTOR_PAGE_DPI,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0,
options.oversample or 0))
@@ -237,7 +266,7 @@ def is_ocr_required(pageinfo, log, options):
if pageinfo.has_text:
msg = "{0:4d}: page already has text! {1}"
if not options.force_ocr and not options.skip_text:
if not options.force_ocr and not (options.skip_text or options.redo_ocr):
log.error(msg.format(page,
"aborting (use --force-ocr to force OCR)"))
raise PriorOcrFoundError()
@@ -245,6 +274,18 @@ def is_ocr_required(pageinfo, log, options):
log.info(msg.format(page,
"rasterizing text and running OCR anyway"))
ocr_required = True
elif options.redo_ocr:
if pageinfo.has_corrupt_text:
log.warning(msg.format(
page,
"some text on this page cannot be mapped to characters: "
"consider using --force-ocr instead")
)
raise PriorOcrFoundError() # Wrong error but will do for now
else:
log.info(msg.format(page,
"redoing OCR"))
ocr_required = True
elif options.skip_text:
log.info(msg.format(page,
"skipping all processing on this page"))
@@ -487,7 +528,8 @@ def rasterize_with_ghostscript(
ghostscript.rasterize_pdf(
input_file, output_file, xres=canvas_dpi, yres=canvas_dpi,
raster_device=device, log=log, page_dpi=(page_dpi, page_dpi),
pageno=page_number(input_file), rotation=correction)
pageno=page_number(input_file), rotation=correction,
filter_vector=options.remove_vectors)
def preprocess_remove_background(
@@ -553,12 +595,13 @@ def select_ocr_image(
user."""
image = infiles[0]
if context.get_options().force_ocr:
options = context.get_options()
pageinfo = get_pageinfo(image, context)
if options.force_ocr:
re_symlink(image, output_file, log)
return
pageinfo = get_pageinfo(image, context)
with Image.open(image) as im:
from PIL import ImageColor
from PIL import ImageDraw
@@ -569,22 +612,39 @@ def select_ocr_image(
xres, yres = im.info['dpi']
log.debug('resolution %r %r', xres, yres)
for textarea in pageinfo.get_textareas():
mask = None # Exclude both visible and invisible text from OCR
if options.redo_ocr:
mask = True # Mask visible text, but not invisible text
for textarea in pageinfo.get_textareas(visible=mask, corrupt=None):
# Calculate resolution based on the image size and page dimensions
# without regard whatever resolution is in pageinfo (may differ or
# be None)
bbox = textarea
pixcoords = [Decimal(bbox[0]) / Decimal(72) * xres,
Decimal(bbox[1]) / Decimal(72) * yres,
Decimal(bbox[2]) / Decimal(72) * xres,
Decimal(bbox[3]) / Decimal(72) * yres]
pixcoords = [int(c) for c in pixcoords]
xscale, yscale = float(xres) / 72.0, float(yres) / 72.0
pixcoords = [bbox[0] * xscale,
im.height - bbox[3] * yscale,
bbox[2] * xscale,
im.height - bbox[1] * yscale]
pixcoords = [int(round(c)) for c in pixcoords]
log.debug('blanking %r', pixcoords)
draw.rectangle(pixcoords, fill=white)
#draw.rectangle(pixcoords, outline=pink)
del draw
if options.mask_barcodes or options.threshold:
pix = leptonica.Pix.frompil(im)
if options.threshold:
pix = pix.masked_threshold_on_background_norm()
if options.mask_barcodes:
barcodes = pix.locate_barcodes()
for barcode in barcodes:
decoded, rect = barcode
log.info('masking barcode %s %r', decoded, rect)
draw.rectangle(rect, fill=white)
im = pix.topil()
# Pillow requires integer DPI
dpi = round(xres), round(yres)
im.save(output_file, dpi=dpi)
+1 -1
View File
@@ -38,7 +38,7 @@ import sys
import codecs
def verify_python3_env():
def verify_python3_env(): # pragma: no cover
"""Ensures that the environment is good for unicode on Python 3."""
# PEP 538 changes in Python 3.7 should make this wrangling unnecessary
+52 -2
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@@ -43,8 +43,54 @@ def _update_page_resources(*, page, font, font_key, procset):
resources['/ProcSet'] = procset
def strip_invisible_text(pdf, page, log):
stream = []
in_text_obj = False
render_mode = 0
text_objects = []
page.page_contents_coalesce()
for operands, operator in pikepdf.parse_content_stream(page, ''):
if not in_text_obj:
if operator == pikepdf.Operator('BT'):
in_text_obj = True
render_mode = 0
text_objects.append((operands, operator))
else:
stream.append((operands, operator))
else:
if operator == pikepdf.Operator('Tr'):
render_mode = operands[0]
text_objects.append((operands, operator))
if operator == pikepdf.Operator('ET'):
in_text_obj = False
if render_mode != 3:
stream.extend(text_objects)
text_objects.clear()
def convert(op):
try:
return op.unparse()
except AttributeError:
return str(op).encode('ascii')
lines = []
for operands, operator in stream:
if operator == pikepdf.Operator('INLINE IMAGE'):
iim = operands[0]
line = iim.unparse()
else:
line = b' '.join(convert(op) for op in operands) + b' ' + operator.unparse()
lines.append(line)
content_stream = b'\n'.join(lines)
page.Contents = pikepdf.Stream(pdf, content_stream)
def _weave_layers_graft(
*, pdf_base, page_num, text, font, font_key, procset, rotation, log):
*, pdf_base, page_num, text, font, font_key, procset, rotation,
strip_old_text, log):
"""Insert the text layer from text page 0 on to pdf_base at page_num"""
log.debug("Grafting")
@@ -109,6 +155,9 @@ def _weave_layers_graft(
new_text_layer = pikepdf.Stream(pdf_base, pdf_text_contents)
if strip_old_text:
strip_invisible_text(pdf_base, base_page, log)
base_page.page_contents_add(new_text_layer, prepend=True)
_update_page_resources(
@@ -336,10 +385,11 @@ def weave_layers(
if text and font:
# Graft the text layer onto this page, whether new or old
strip_old = context.get_options().redo_ocr
_weave_layers_graft(
pdf_base=pdf_base, page_num=page_num, text=text, font=font,
font_key=font_key, rotation=text_misaligned, procset=procset,
log=log
strip_old_text=strip_old, log=log
)
# Correct the rotation if applicable
+4 -1
View File
@@ -101,7 +101,7 @@ def extract_text(input_file, pageno=1):
def rasterize_pdf(input_file, output_file, xres, yres, raster_device, log,
pageno=1, page_dpi=None, rotation=None):
pageno=1, page_dpi=None, rotation=None, filter_vector=False):
"""Rasterize one page of a PDF at resolution (xres, yres) in canvas units.
The image is sized to match the integer pixels dimensions implied by
@@ -116,6 +116,8 @@ def rasterize_pdf(input_file, output_file, xres, yres, raster_device, log,
:param log:
:param pageno: page number to rasterize (beginning at page 1)
:param page_dpi: resolution tuple (x, y) overriding output image DPI
:param rotation: 0, 90, 180, 270: clockwise angle to rotate page
:param filter_vector: if True, remove vector graphics objects
:return:
"""
res = xres, yres
@@ -134,6 +136,7 @@ def rasterize_pdf(input_file, output_file, xres, yres, raster_device, log,
'-dFirstPage=%i' % pageno,
'-dLastPage=%i' % pageno,
'-r{0}x{1}'.format(str(int_res[0]), str(int_res[1])),
] + (['-dFILTERVECTOR'] if filter_vector else []) + [
'-o', tmp.name,
'-dAutoRotatePages=/None', # Probably has no effect on raster
'-f',
+2 -5
View File
@@ -15,14 +15,11 @@
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
from subprocess import CalledProcessError, run, PIPE
from subprocess import run, PIPE
from functools import lru_cache
import sys
import os
import shutil
from . import get_version
from ..exceptions import ExitCode, MissingDependencyError
from ..exceptions import MissingDependencyError
@lru_cache(maxsize=1)
+2 -6
View File
@@ -15,15 +15,11 @@
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
from subprocess import CalledProcessError, run
from tempfile import TemporaryFile
from subprocess import run
from functools import lru_cache
import sys
import os
import shutil
from . import get_version
from ..exceptions import ExitCode, MissingDependencyError
from ..exceptions import MissingDependencyError
@lru_cache(maxsize=1)
+2 -3
View File
@@ -18,9 +18,8 @@
from subprocess import CalledProcessError, STDOUT, PIPE, run
from functools import lru_cache
from ..exceptions import InputFileError, SubprocessOutputError, \
EncryptedPdfError
from . import get_version
from ..helpers import fspath
@lru_cache(maxsize=1)
@@ -32,7 +31,7 @@ def check(input_file, log=None):
args_qpdf = [
'qpdf',
'--check',
input_file
fspath(input_file)
]
if log is None:
+23 -12
View File
@@ -21,11 +21,11 @@ import shutil
from functools import lru_cache
from collections import namedtuple
from textwrap import dedent
from subprocess import CalledProcessError, TimeoutExpired, check_output, STDOUT
from subprocess import CalledProcessError, TimeoutExpired, check_output, STDOUT, run, PIPE
from contextlib import suppress
from ..exceptions import MissingDependencyError, TesseractConfigError
from ..helpers import page_number
from ..helpers import page_number, fspath
from . import get_version
OrientationConfidence = namedtuple(
@@ -92,22 +92,33 @@ def psm():
@lru_cache(maxsize=1)
def languages():
def lang_error(output):
msg = dedent("""Tesseract failed to report available languages.
Output from Tesseract:
-----------
""")
msg += output
print(msg, file=sys.stderr)
args_tess = [
'tesseract',
'--list-langs'
]
try:
langs = check_output(
args_tess, universal_newlines=True, stderr=STDOUT)
proc = run(
args_tess, universal_newlines=True, stdout=PIPE, stderr=STDOUT,
check=True
)
output = proc.stdout
except CalledProcessError as e:
msg = dedent("""Tesseract failed to report available languages.
Output from Tesseract:
-----------
""")
msg += e.output
print(msg, file=sys.stderr)
lang_error(e.output)
raise MissingDependencyError from e
return set(lang.strip() for lang in langs.splitlines()[1:])
header, *rest = output.splitlines()
if not header.startswith('List of available languages'):
lang_error(output)
raise MissingDependencyError
return set(lang.strip() for lang in rest)
def tess_base_args(langs, engine_mode):
@@ -124,7 +135,7 @@ def tess_base_args(langs, engine_mode):
def get_orientation(input_file, engine_mode, timeout: float, log):
args_tesseract = tess_base_args(['osd'], engine_mode) + [
psm(), '0',
input_file,
fspath(input_file),
'stdout'
]
+285 -91
View File
@@ -20,14 +20,16 @@
#
# Python FFI wrapper for Leptonica library
import argparse
import sys
import os
import logging
import warnings
from tempfile import TemporaryFile
from collections.abc import Sequence
from ctypes.util import find_library
from functools import lru_cache
from io import BytesIO
from tempfile import TemporaryFile
import argparse
import logging
import os
import sys
import warnings
from .lib._leptonica import ffi
from .helpers import fspath
@@ -38,6 +40,7 @@ lept = ffi.dlopen(find_library('lept'))
logger = logging.getLogger(__name__)
lept.setMsgSeverity(lept.L_SEVERITY_WARNING)
def stderr(*objs):
"""Shorthand print to stderr."""
@@ -103,6 +106,8 @@ class _LeptonicaErrorTrap:
raise FileNotFoundError()
if 'pixWrite: stream not opened' in leptonica_output:
raise LeptonicaIOError()
if 'index not valid' in leptonica_output:
raise IndexError()
raise LeptonicaError(leptonica_output)
return False
@@ -116,7 +121,43 @@ class LeptonicaIOError(LeptonicaError):
pass
class Pix:
class LeptonicaObject:
"""General wrapper for Leptonica objects
When Leptonica returns an object, we bundled it in a wrapper class, which
manages its memory. The wrapper class assumes that it will be calling some
sort of lept.thingDestroy() function when the instance is deleted. Most
Leptonica objects are reference counted, and destroy decrements the
refcount.
Most of the time, when Leptonica returns something, we wrap and it the job
is done. When wrapping objects that came from a Leptonica container, like
a PIXA returning PIX, the subclass must clone the object before passing it
here, to maintain the reference count.
CFFI ensures that the destroy function is called at garbage collection time
so we do not need to mess with __del__.
"""
cdata_destroy = lambda cdata: None
LEPTONICA_TYPENAME = ''
def __init__(self, cdata):
if not cdata:
raise ValueError('Tried to wrap a NULL ' + self.LEPTONICA_TYPENAME)
self._cdata = ffi.gc(cdata, self._destroy)
@classmethod
def _destroy(cls, cdata):
"""Destroy some cdata"""
# Leptonica API uses double-pointers for its destroy APIs to prevent
# dangling pointers. This means we need to put our single pointer,
# cdata, in a temporary CDATA**.
pp = ffi.new('{} **'.format(cls.LEPTONICA_TYPENAME), cdata)
cls.cdata_destroy(pp)
class Pix(LeptonicaObject):
"""
Wrapper around leptonica's PIX object.
@@ -135,18 +176,17 @@ class Pix:
modified objects. This allows convenient chaining:
>>> Pix.open('filename.jpg').scale((0.5, 0.5)).deskew().show()
"""
def __init__(self, pix):
self._pix = ffi.gc(pix, Pix._pix_destroy)
LEPTONICA_TYPENAME = "PIX"
cdata_destroy = lept.pixDestroy
def __repr__(self):
if self._pix:
if self._cdata:
s = "<leptonica.Pix image size={0}x{1} depth={2}{4} at 0x{3:x}>"
return s.format(self._pix.w, self._pix.h, self._pix.d,
int(ffi.cast('intptr_t', self._pix)),
'(colormapped)' if self._pix.colormap else '')
return s.format(self._cdata.w, self._cdata.h, self._cdata.d,
int(ffi.cast('intptr_t', self._cdata)),
'(colormapped)' if self._cdata.colormap else '')
else:
return "<leptonica.Pix image NULL>"
@@ -159,7 +199,7 @@ class Pix:
data = ffi.new('l_uint8 **')
size = ffi.new('size_t *')
err = lept.pixWriteMemPng(data, size, self._pix, 0)
err = lept.pixWriteMemPng(data, size, self._cdata, 0)
if err != 0:
raise LeptonicaIOError("pixWriteMemPng")
@@ -170,7 +210,7 @@ class Pix:
data = ffi.new('l_uint32 **')
size = ffi.new('size_t *')
err = lept.pixSerializeToMemory(self._pix, data, size)
err = lept.pixSerializeToMemory(self._cdata, data, size)
if err != 0:
raise LeptonicaIOError("pixSerializeToMemory")
@@ -187,32 +227,38 @@ class Pix:
cdata_bytes = ffi.new('char[]', state['data'])
cdata_uint32 = ffi.cast('l_uint32 *', cdata_bytes)
pix = lept.pixDeserializeFromMemory(
cdata_uint32, len(state['data']))
pix = lept.pixDeserializeFromMemory(cdata_uint32, len(state['data']))
Pix.__init__(self, pix)
def __eq__(self, other):
return self.__getstate__() == other.__getstate__()
if not isinstance(other, Pix):
return NotImplemented
same = ffi.new('l_int32 *', 0)
with _LeptonicaErrorTrap():
err = lept.pixEqual(self._cdata, other._cdata, same)
if err:
raise TypeError()
return bool(same[0])
@property
def width(self):
return self._pix.w
return self._cdata.w
@property
def height(self):
return self._pix.h
return self._cdata.h
@property
def depth(self):
return self._pix.d
return self._cdata.d
@property
def size(self):
return (self._pix.w, self._pix.h)
return (self._cdata.w, self._cdata.h)
@property
def info(self):
return {'dpi': (self._pix.xres, self._pix.yres)}
return {'dpi': (self._cdata.xres, self._cdata.yres)}
@property
def mode(self):
@@ -221,7 +267,7 @@ class Pix:
return '1'
elif self.depth >= 16:
return 'RGB'
elif not self._pix.colormap:
elif not self._cdata.colormap:
return 'L'
else:
return 'P'
@@ -253,10 +299,21 @@ class Pix:
with _LeptonicaErrorTrap():
lept.pixWriteImpliedFormat(
os.fsencode(filename),
self._pix, jpeg_quality, jpeg_progressive)
self._cdata, jpeg_quality, jpeg_progressive)
@classmethod
def frompil(self, pillow_image):
"""Create a copy of a PIL.Image from this Pix"""
bio = BytesIO()
pillow_image.save(bio, format='png', compress_level=1)
py_buffer = bio.getbuffer()
c_buffer = ffi.from_buffer(py_buffer)
with _LeptonicaErrorTrap():
pix = Pix(lept.pixReadMem(c_buffer, len(c_buffer)))
return pix
def topil(self):
"Returns a PIL.Image version of this Pix"
"""Returns a PIL.Image version of this Pix"""
from PIL import Image
# Leptonica manages data in words, so it implicitly does an endian
@@ -269,17 +326,17 @@ class Pix:
raw_mode = 'ABGR'
elif self.mode == '1':
raw_mode = '1;I'
pix = Pix(lept.pixEndianByteSwapNew(pix._pix))
pix = Pix(lept.pixEndianByteSwapNew(pix._cdata))
else:
raw_mode = self.mode
pix = Pix(lept.pixEndianByteSwapNew(pix._pix))
pix = Pix(lept.pixEndianByteSwapNew(pix._cdata))
else:
raw_mode = self.mode # no endian swap needed
size = (pix._pix.w, pix._pix.h)
bytecount = pix._pix.wpl * 4 * pix._pix.h
buf = ffi.buffer(pix._pix.data, bytecount)
stride = pix._pix.wpl * 4
size = (pix._cdata.w, pix._cdata.h)
bytecount = pix._cdata.wpl * 4 * pix._cdata.h
buf = ffi.buffer(pix._cdata.data, bytecount)
stride = pix._cdata.wpl * 4
im = Image.frombytes(self.mode, size, buf, 'raw', raw_mode, stride)
@@ -298,21 +355,21 @@ class Pix:
for skew angle
"""
with _LeptonicaErrorTrap():
return Pix(lept.pixDeskew(self._pix, reduction_factor))
return Pix(lept.pixDeskew(self._cdata, reduction_factor))
def scale(self, scale_xy):
"Returns the pix object rescaled according to the proportions given."
with _LeptonicaErrorTrap():
return Pix(lept.pixScale(self._pix, scale_xy[0], scale_xy[1]))
return Pix(lept.pixScale(self._cdata, scale_xy[0], scale_xy[1]))
def rotate180(self):
with _LeptonicaErrorTrap():
return Pix(lept.pixRotate180(ffi.NULL, self._pix))
return Pix(lept.pixRotate180(ffi.NULL, self._cdata))
def rotate_orth(self, quads):
"Orthographic rotation, quads: 0-3, number of clockwise rotations"
with _LeptonicaErrorTrap():
return Pix(lept.pixRotateOrth(self._pix, quads))
return Pix(lept.pixRotateOrth(self._cdata, quads))
def find_skew(self):
"""Returns a tuple (deskew angle in degrees, confidence value).
@@ -322,7 +379,7 @@ class Pix:
with _LeptonicaErrorTrap():
angle = ffi.new('float *', 0.0)
confidence = ffi.new('float *', 0.0)
result = lept.pixFindSkew(self._pix, angle, confidence)
result = lept.pixFindSkew(self._cdata, angle, confidence)
if result == 0:
return (angle[0], confidence[0])
else:
@@ -330,7 +387,7 @@ class Pix:
def convert_rgb_to_luminance(self):
with _LeptonicaErrorTrap():
gray_pix = lept.pixConvertRGBToLuminance(self._pix)
gray_pix = lept.pixConvertRGBToLuminance(self._cdata)
if gray_pix:
return Pix(gray_pix)
return None
@@ -344,7 +401,7 @@ class Pix:
"""
with _LeptonicaErrorTrap():
return Pix(lept.pixRemoveColormapGeneral(
self._pix, removal_type, lept.L_COPY))
self._cdata, removal_type, lept.L_COPY))
def otsu_adaptive_threshold(
self, tile_size=(300, 300), kernel_size=(4, 4), scorefract=0.1):
@@ -354,7 +411,7 @@ class Pix:
p_pix = ffi.new('PIX **')
result = lept.pixOtsuAdaptiveThreshold(
self._pix,
self._cdata,
sx, sy,
smoothx, smoothy,
scorefract,
@@ -371,22 +428,41 @@ class Pix:
with _LeptonicaErrorTrap():
sx, sy = tile_size
smoothx, smoothy = kernel_size
if mask is None:
mask = ffi.NULL
mask = ffi.NULL
if isinstance(mask, Pix):
mask = mask._pix
mask = mask._cdata
thresh_pix = lept.pixOtsuThreshOnBackgroundNorm(
self._pix,
self._cdata,
mask,
sx, sy,
thresh, mincount, bgval,
smoothx, smoothy,
scorefract,
ffi.NULL
)
if thresh_pix == ffi.NULL:
return None
)
return Pix(thresh_pix)
def masked_threshold_on_background_norm(
self, mask=None, tile_size=(10, 15), thresh=100, mincount=50,
kernel_size=(2, 2), scorefract=0.1):
with _LeptonicaErrorTrap():
sx, sy = tile_size
smoothx, smoothy = kernel_size
mask = ffi.NULL
if isinstance(mask, Pix):
mask = mask._cdata
pix = Pix(lept.pixConvertTo8(self._cdata, 0))
thresh_pix = lept.pixMaskedThreshOnBackgroundNorm(
pix._cdata,
mask,
sx, sy,
thresh, mincount,
smoothx, smoothy,
scorefract,
ffi.NULL
)
return Pix(thresh_pix)
def crop_to_foreground(
@@ -394,7 +470,7 @@ class Pix:
showmorph=0, display=0, pdfdir=ffi.NULL):
with _LeptonicaErrorTrap():
cropbox = Box(lept.pixFindPageForeground(
self._pix,
self._cdata,
threshold,
mindist,
erasedist,
@@ -403,11 +479,9 @@ class Pix:
display,
pdfdir))
print(repr(cropbox))
cropped_pix = lept.pixClipRectangle(
self._pix,
cropbox._box,
self._cdata,
cropbox._cdata,
ffi.NULL)
return Pix(cropped_pix)
@@ -416,7 +490,7 @@ class Pix:
self, mask=None, grayscale=None, gamma=1.0, black=0, white=255):
with _LeptonicaErrorTrap():
return Pix(lept.pixCleanBackgroundToWhite(
self._pix,
self._cdata,
mask or ffi.NULL,
grayscale or ffi.NULL,
gamma,
@@ -427,7 +501,7 @@ class Pix:
with _LeptonicaErrorTrap():
return Pix(lept.pixGammaTRC(
ffi.NULL,
self._pix,
self._cdata,
gamma,
minval,
maxval
@@ -440,7 +514,7 @@ class Pix:
target_pix = self.remove_colormap(lept.REMOVE_CMAP_BASED_ON_SRC)
with _LeptonicaErrorTrap():
return Pix(lept.pixBackgroundNorm(
target_pix._pix,
target_pix._cdata,
mask or ffi.NULL,
grayscale or ffi.NULL,
tile_size[0],
@@ -467,7 +541,7 @@ class Pix:
raise LeptonicaError("Leptonica version is too old")
correlation = ffi.new('float *', 0.0)
result = lept.pixCorrelationBinary(pix1._pix, pix2._pix,
result = lept.pixCorrelationBinary(pix1._cdata, pix2._cdata,
correlation)
if result != 0:
raise LeptonicaError("Correlation failed")
@@ -476,25 +550,68 @@ class Pix:
def generate_pdf_ci_data(self, type_, quality):
"Convert to PDF data, with transcoding"
p_compdata = ffi.new('L_COMP_DATA **')
result = lept.pixGenerateCIData(self._pix, type_, quality, 0,
result = lept.pixGenerateCIData(self._cdata, type_, quality, 0,
p_compdata)
if result != 0:
raise LeptonicaError("Generate PDF data failed")
return CompressedData(p_compdata[0])
def invert(self):
return Pix(lept.pixInvert(ffi.NULL, self._pix))
return Pix(lept.pixInvert(ffi.NULL, self._cdata))
@staticmethod
def _pix_destroy(pix):
p_pix = ffi.new('PIX **', pix)
lept.pixDestroy(p_pix)
# print('pix destroy ' + repr(pix))
def locate_barcodes(self):
with _LeptonicaErrorTrap():
pix = Pix(lept.pixConvertTo8(self._cdata, 0))
pixa_candidates = PixArray(lept.pixExtractBarcodes(pix._cdata, 0))
sarray = StringArray(lept.pixReadBarcodes(pixa_candidates._cdata,
lept.L_BF_ANY,
lept.L_USE_WIDTHS,
ffi.NULL,
0))
for n, s in enumerate(sarray):
decoded = s.decode()
if s.strip() == '':
continue
box = pixa_candidates.get_box(n)
left, top = box.x, box.y
right, bottom = box.x + box.w, box.y + box.h
yield (decoded, (left, top, right, bottom))
def despeckle(self, size):
if size == 2:
speckle2 = """
oooo
oC o
o o
oooo
"""
sel1 = Sel.from_selstr(speckle2, 'speckle2')
sel2 = Sel.create_brick(2, 2, 0, 0, lept.SEL_HIT)
elif size == 3:
speckle3 = """
ooooo
oC o
o o
o o
ooooo
"""
sel1 = Sel.from_selstr(speckle3, 'speckle3')
sel2 = Sel.create_brick(3, 3, 0, 0, lept.SEL_HIT)
else:
raise ValueError(size)
pixhmt = Pix(lept.pixHMT(ffi.NULL, self._cdata, sel1._cdata))
pixdilated = Pix(lept.pixDilate(ffi.NULL, pixhmt._cdata, sel2._cdata))
pixsub = Pix(lept.pixSubtract(ffi.NULL, self._cdata, pixdilated._cdata))
return pixsub
class CompressedData:
def __init__(self, compdata):
self._compdata = ffi.gc(compdata, CompressedData._destroy)
class CompressedData(LeptonicaObject):
"""Wrapper for L_COMP_DATA - abstract compressed image data"""
LEPTONICA_TYPENAME = 'L_COMP_DATA'
cdata_destroy = lept.l_CIDataDestroy
@classmethod
def open(cls, path, jpeg_quality=75):
@@ -509,64 +626,141 @@ class CompressedData:
return CompressedData(p_compdata[0])
def __len__(self):
return self._compdata.nbytescomp
return self._cdata.nbytescomp
def read(self):
buf = ffi.buffer(self._compdata.datacomp, self._compdata.nbytescomp)
buf = ffi.buffer(self._cdata.datacomp, self._cdata.nbytescomp)
return bytes(buf)
def __getattr__(self, name):
if hasattr(self._compdata, name):
return getattr(self._compdata, name)
if hasattr(self._cdata, name):
return getattr(self._cdata, name)
raise AttributeError(name)
def get_palette_pdf_string(self):
"Returns palette pre-formatted for use in PDF"
buflen = len('< ') + len(' rrggbb') * self._compdata.ncolors + len('>')
buf = ffi.buffer(self._compdata.cmapdatahex, buflen)
buflen = len('< ') + len(' rrggbb') * self._cdata.ncolors + len('>')
buf = ffi.buffer(self._cdata.cmapdatahex, buflen)
return bytes(buf)
@staticmethod
def _destroy(compdata):
pp = ffi.new('L_COMP_DATA **', compdata)
lept.l_CIDataDestroy(pp)
class PixArray(LeptonicaObject, Sequence):
"""Wrapper around PIXA (array of PIX)"""
LEPTONICA_TYPENAME = 'PIXA'
cdata_destroy = lept.pixaDestroy
def __len__(self):
return self._cdata[0].n
def __getitem__(self, n):
with _LeptonicaErrorTrap():
return Pix(lept.pixaGetPix(self._cdata, n, lept.L_CLONE))
def get_box(self, n):
with _LeptonicaErrorTrap():
return Box(lept.pixaGetBox(self._cdata, n, lept.L_CLONE))
class Box:
"""Wrapper around Leptonica's BOX objects.
class Box(LeptonicaObject):
"""Wrapper around Leptonica's BOX objects (a pixel rectangle)
See class Pix for notes about reference counting.
Uses x, y, w, h coordinates.
"""
def __init__(self, box):
self._box = ffi.gc(box, Box._box_destroy)
LEPTONICA_TYPENAME = 'BOX'
cdata_destroy = lept.boxDestroy
def __repr__(self):
if self._box:
if self._cdata:
return '<leptonica.Box x={0} y={1} w={2} h={3}>'.format(
self.x, self.y, self.w, self.h)
return '<leptonica.Box NULL>'
@property
def x(self):
return self._box.x
return self._cdata.x
@property
def y(self):
return self._box.y
return self._cdata.y
@property
def w(self):
return self._box.w
return self._cdata.w
@property
def h(self):
return self._box.h
return self._cdata.h
@staticmethod
def _box_destroy(box):
p_box = ffi.new('BOX **', box)
lept.boxDestroy(p_box)
class BoxArray(LeptonicaObject, Sequence):
"""Wrapper around Leptonica's BOXA (Array of BOX) objects."""
LEPTONICA_TYPENAME = 'BOXA'
cdata_destroy = lept.boxaDestroy
def __repr__(self):
if not self._cdata:
return '<BoxArray>'
boxes = (repr(box) for box in self)
return '<BoxArray [' + ', '.join(boxes) + ']>'
def __len__(self):
return self._cdata.n
def __getitem__(self, n):
if not isinstance(n, int):
raise TypeError('list indices must be integers')
if 0 <= n < len(self):
return Box(lept.boxaGetBox(self._cdata, n, lept.L_CLONE))
raise IndexError(n)
class StringArray(LeptonicaObject, Sequence):
"""Leptonica SARRAY/string array"""
LEPTONICA_TYPENAME = 'SARRAY'
cdata_destroy = lept.sarrayDestroy
def __len__(self):
return self._cdata.n
def __getitem__(self, n):
if 0 <= n < len(self):
return ffi.string(self._cdata.array[n])
raise IndexError(n)
class Sel(LeptonicaObject):
"""Leptonica 'sel'/selection element for hit-miss transform"""
LEPTONICA_TYPENAME = 'SEL'
cdata_destroy = lept.selDestroy
@classmethod
def from_selstr(cls, selstr, name):
lines = [line.strip() for line in selstr.split('\n') if line.strip()]
h = len(lines)
w = len(lines[0])
lengths = set(len(line) for line in lines)
if len(lengths) != 1:
raise ValueError("All lines in selstr must be same length")
repacked = ''.join(line.strip() for line in lines)
buf_selstr = ffi.from_buffer(repacked.encode('ascii'))
buf_name = ffi.from_buffer(name.encode('ascii'))
sel = lept.selCreateFromString(buf_selstr, h, w, buf_name)
return cls(sel)
@classmethod
def create_brick(cls, h, w, cy, cx, type_):
sel = lept.selCreateBrick(h, w, cy, cx, type_)
return cls(sel)
def __repr__(self):
selstr = ffi.gc(lept.selPrintToString(self._cdata), lept.lept_free)
return '<Sel \n' + ffi.string(selstr).decode('ascii') + '\n>'
@lru_cache(maxsize=1)
File diff suppressed because one or more lines are too long
+188 -9
View File
@@ -19,7 +19,6 @@
from cffi import FFI
ffibuilder = FFI()
ffibuilder.set_source("ocrmypdf.lib._leptonica", None)
ffibuilder.cdef("""
typedef signed char l_int8;
typedef unsigned char l_uint8;
@@ -32,6 +31,8 @@ typedef double l_float64;
typedef long long l_int64;
typedef unsigned long long l_uint64;
typedef int l_ok; /*!< return type 0 if OK, 1 on error */
struct Pix
{
l_uint32 w; /* width in pixels */
@@ -61,6 +62,17 @@ struct PixColormap
};
typedef struct PixColormap PIXCMAP;
/*! Array of pix */
struct Pixa
{
l_int32 n; /*!< number of Pix in ptr array */
l_int32 nalloc; /*!< number of Pix ptrs allocated */
l_uint32 refcount; /*!< reference count (1 if no clones) */
struct Pix **pix; /*!< the array of ptrs to pix */
struct Boxa *boxa; /*!< array of boxes */
};
typedef struct Pixa PIXA;
struct Box
{
l_int32 x;
@@ -72,6 +84,25 @@ struct Box
};
typedef struct Box BOX;
/*! Array of Box */
struct Boxa
{
l_int32 n; /*!< number of box in ptr array */
l_int32 nalloc; /*!< number of box ptrs allocated */
l_uint32 refcount; /*!< reference count (1 if no clones) */
struct Box **box; /*!< box ptr array */
};
typedef struct Boxa BOXA;
/*! String array: an array of C strings */
struct Sarray
{
l_int32 nalloc; /*!< size of allocated ptr array */
l_int32 n; /*!< number of strings allocated */
l_int32 refcount; /*!< reference count (1 if no clones) */
char **array; /*!< string array */
};
typedef struct Sarray SARRAY;
/*! Pdf formatted encoding types */
enum {
@@ -104,6 +135,18 @@ struct L_Compressed_Data
};
typedef struct L_Compressed_Data L_COMP_DATA;
/*! Selection */
struct Sel
{
l_int32 sy; /*!< sel height */
l_int32 sx; /*!< sel width */
l_int32 cy; /*!< y location of sel origin */
l_int32 cx; /*!< x location of sel origin */
l_int32 **data; /*!< {0,1,2}; data[i][j] in [row][col] order */
char *name; /*!< used to find sel by name */
};
typedef struct Sel SEL;
enum {
REMOVE_CMAP_TO_BINARY = 0, /*!< remove colormap for conv to 1 bpp */
REMOVE_CMAP_TO_GRAYSCALE = 1, /*!< remove colormap for conv to 8 bpp */
@@ -122,10 +165,48 @@ enum {
/*!< the array with clones (e.g., pix) */
};
/*! Flags for method of extracting barcode widths */
enum {
L_USE_WIDTHS = 1, /*!< use histogram of barcode widths */
L_USE_WINDOWS = 2 /*!< find best window for decoding transitions */
};
/*! Flags for barcode formats */
enum {
L_BF_UNKNOWN = 0, /*!< unknown format */
L_BF_ANY = 1, /*!< try decoding with all known formats */
L_BF_CODE128 = 2, /*!< decode with Code128 format */
L_BF_EAN8 = 3, /*!< decode with EAN8 format */
L_BF_EAN13 = 4, /*!< decode with EAN13 format */
L_BF_CODE2OF5 = 5, /*!< decode with Code 2 of 5 format */
L_BF_CODEI2OF5 = 6, /*!< decode with Interleaved 2 of 5 format */
L_BF_CODE39 = 7, /*!< decode with Code39 format */
L_BF_CODE93 = 8, /*!< decode with Code93 format */
L_BF_CODABAR = 9, /*!< decode with Code93 format */
L_BF_UPCA = 10 /*!< decode with UPC A format */
};
enum {
L_SEVERITY_EXTERNAL = 0, /* Get the severity from the environment */
L_SEVERITY_ALL = 1, /* Lowest severity: print all messages */
L_SEVERITY_DEBUG = 2, /* Print debugging and higher messages */
L_SEVERITY_INFO = 3, /* Print informational and higher messages */
L_SEVERITY_WARNING = 4, /* Print warning and higher messages */
L_SEVERITY_ERROR = 5, /* Print error and higher messages */
L_SEVERITY_NONE = 6 /* Highest severity: print no messages */
};
enum {
SEL_DONT_CARE = 0,
SEL_HIT = 1,
SEL_MISS = 2
};
""")
ffibuilder.cdef("""
PIX * pixRead ( const char *filename );
PIX * pixReadMem ( const l_uint8 *data, size_t size );
PIX * pixScale ( PIX *pixs, l_float32 scalex, l_float32 scaley );
l_int32 pixFindSkew ( PIX *pixs, l_float32 *pangle, l_float32 *pconf );
l_int32 pixWriteImpliedFormat ( const char *filename, PIX *pix, l_int32 quality, l_int32 progressive );
@@ -137,6 +218,11 @@ pixWriteMemPng(l_uint8 **pdata,
void pixDestroy ( PIX **ppix );
l_ok
pixEqual(PIX *pix1,
PIX *pix2,
l_int32 *psame);
PIX *
pixEndianByteSwapNew(PIX *pixs);
@@ -157,6 +243,8 @@ l_int32 pixSerializeToMemory ( PIX *pixs, l_uint32 **pdata, size_t *pnbytes );
PIX * pixConvertRGBToLuminance(PIX *pixs);
PIX * pixConvertTo8(PIX *pixs, l_int32 cmapflag);
PIX * pixRemoveColormap(PIX *pixs, l_int32 type);
l_int32
@@ -182,6 +270,18 @@ pixOtsuThreshOnBackgroundNorm(PIX *pixs,
l_float32 scorefract,
l_int32 *pthresh);
PIX *
pixMaskedThreshOnBackgroundNorm(PIX *pixs,
PIX *pixim,
l_int32 sx,
l_int32 sy,
l_int32 thresh,
l_int32 mincount,
l_int32 smoothx,
l_int32 smoothy,
l_float32 scorefract,
l_int32 *pthresh);
PIX *
pixCleanBackgroundToWhite(PIX *pixs,
PIX *pixim,
@@ -265,13 +365,13 @@ pixGetAverageMaskedRGB(PIX *pixs,
l_float32 *pgval,
l_float32 *pbval);
PIX *
PIX *
pixGlobalNormRGB(PIX * pixd,
PIX * pixs,
l_int32 rval,
l_int32 gval,
l_int32 bval,
l_int32 mapval);
l_int32 mapval);
PIX *
pixInvert(PIX * pixd,
@@ -289,22 +389,101 @@ pixGenerateCIData(PIX *pixs,
l_int32 ascii85,
L_COMP_DATA **pcid);
l_int32
l_generateCIDataForPdf(const char *fname,
PIX *pix,
l_int32 quality,
SARRAY *
pixProcessBarcodes(PIX *pixs,
l_int32 format,
l_int32 method,
SARRAY **psaw,
l_int32 debugflag);
PIX *
pixaGetPix(PIXA *pixa,
l_int32 index,
l_int32 accesstype);
BOX*
pixaGetBox (PIXA * pixa,
l_int32 index,
l_int32 accesstype );
PIXA *
pixExtractBarcodes(PIX *pixs,
l_int32 debugflag);
BOXA *
pixLocateBarcodes ( PIX *pixs, l_int32 thresh, PIX **ppixb, PIX **ppixm );
SARRAY *
pixReadBarcodes(PIXA *pixa,
l_int32 format,
l_int32 method,
SARRAY **psaw,
l_int32 debugflag);
l_int32
l_generateCIDataForPdf(const char *fname,
PIX *pix,
l_int32 quality,
L_COMP_DATA **pcid);
void
BOX *
boxClone ( BOX *box );
BOX *
boxaGetBox ( BOXA *boxa, l_int32 index, l_int32 accessflag );
SEL *
selCreateFromString ( const char *text, l_int32 h, l_int32 w, const char *name );
SEL *
selCreateBrick ( l_int32 h, l_int32 w, l_int32 cy, l_int32 cx, l_int32 type );
char *
selPrintToString(SEL *sel);
PIX *
pixDilate ( PIX *pixd, PIX *pixs, SEL *sel );
PIX *
pixErode ( PIX *pixd, PIX *pixs, SEL *sel );
PIX *
pixHMT ( PIX *pixd, PIX *pixs, SEL *sel );
PIX *
pixSubtract ( PIX *pixd, PIX *pixs1, PIX *pixs2 );
void
boxDestroy(BOX **pbox);
void
boxaDestroy ( BOXA **pboxa );
void
pixaDestroy(PIXA **ppixa);
l_ok
pixRenderBoxa ( PIX *pix, BOXA *boxa, l_int32 width, l_int32 op );
void
l_CIDataDestroy(L_COMP_DATA **pcid);
void
lept_free(void *ptr);
sarrayDestroy(SARRAY **psa);
void
lept_free(void *ptr);
void selDestroy ( SEL **psel );
l_int32
setMsgSeverity(l_int32 newsev);
""")
ffibuilder.set_source("ocrmypdf.lib._leptonica", None)
if __name__ == '__main__':
ffibuilder.compile(verbose=True)
+4 -4
View File
@@ -17,7 +17,7 @@
from pathlib import Path
import concurrent.futures
from collections import defaultdict, namedtuple
from collections import defaultdict
import logging
import sys
@@ -137,10 +137,9 @@ def extract_image_generic(*, pike, root, log, image, xref, options):
# generating a PNG from compressed data
pim.as_pil_image().save(png_name(root, xref))
return xref, '.png'
else:
return None
return True
return None
def extract_images(pike, root, log, options, extract_fn):
@@ -429,6 +428,7 @@ def optimize(
convert_to_jbig2(pike, jbig2_groups, root, log, options)
target_file = Path(output_file).with_suffix('.opt.pdf')
pike.remove_unreferenced_resources()
pike.save(target_file, preserve_pdfa=True,
object_stream_mode=pikepdf.ObjectStreamMode.generate)
-2
View File
@@ -34,7 +34,6 @@ Ghostscript's handling of pdfmark.
from binascii import hexlify
from datetime import datetime
from pathlib import Path
from shutil import copyfile
from string import Template
import pkg_resources
import os
@@ -42,7 +41,6 @@ import os
from libxmp.utils import file_to_dict
from libxmp import consts
from ocrmypdf.helpers import fspath
ICC_PROFILE_RELPATH = 'data/sRGB.icc'
@@ -23,14 +23,16 @@ from math import hypot, isclose
from pathlib import Path
from unittest.mock import Mock
import re
import xml.etree.ElementTree as ET
from .exec import ghostscript
from .helpers import fspath
from pikepdf import PdfMatrix
import pikepdf
from . import ghosttext
from .layout import get_page_analysis, get_text_boxes
from ..helpers import fspath
Colorspace = Enum('Colorspace',
'gray rgb cmyk lab icc index sep devn pattern jpeg2000')
@@ -38,17 +40,6 @@ Encoding = Enum('Encoding',
'ccitt jpeg jpeg2000 jbig2 asciihex ascii85 lzw flate ' + \
'runlength')
# Forgive me for I have sinned
# I am using regular expressions to parse XML. However the XML in this case,
# generated by Ghostscript, is self-consistent enough to be parseable.
regex_remove_char_tags = re.compile(br"""
<char\b
(?: [^>] # anything single character but >
| \">\" # special case: trap ">"
)*
/> # terminate with '/>'
""", re.VERBOSE)
FRIENDLY_COLORSPACE = {
'/DeviceGray': Colorspace.gray,
'/CalGray': Colorspace.gray,
@@ -104,23 +95,30 @@ InlineSettings = namedtuple('InlineSettings',
['iimage', 'shorthand', 'stack_depth'])
ContentsInfo = namedtuple('ContentsInfo',
['xobject_settings', 'inline_images', 'found_text'])
['xobject_settings', 'inline_images', 'found_vector'])
TextboxInfo = namedtuple('TextboxInfo',
['bbox', 'is_visible', 'is_corrupt'])
class VectorInfo:
def __init__(self):
pass
def _normalize_stack(operations):
"""Convert runs of qQ's in the stack into single operations"""
for operands, command in operations:
command = str(command)
if re.match(r'Q*q+$', command): # Zero or more Q, one or more q
for char in command: # Split into individual
yield ([], char) # Yield individual
def _normalize_stack(graphobjs):
"""Convert runs of qQ's in the stack into single graphobjs"""
for operands, operator in graphobjs:
operator = str(operator)
if re.match(r'Q*q+$', operator): # Zero or more Q, one or more q
for char in operator: # Split into individual
yield ([], char) # Yield individual
else:
yield (operands, command)
yield (operands, operator)
def _interpret_contents(contentstream, initial_shorthand=UNIT_SQUARE):
"""Interpret the PDF content stream
"""Interpret the PDF content stream.
The stack represents the state of the PDF graphics stack. We are only
interested in the current transformation matrix (CTM) so we only track
@@ -137,54 +135,53 @@ def _interpret_contents(contentstream, initial_shorthand=UNIT_SQUARE):
page.
PDF units suit our needs so we initialize ctm to the identity matrix.
"""
stack = []
ctm = PdfMatrix(initial_shorthand)
xobject_settings = []
inline_images = []
found_text = False
text_operators = set(['Tj', 'TJ', '"', "'"])
operator_whitelist = """q Q Do cm TJ Tj " ' BI ID EI"""
found_vector = False
vector_ops = set('S s f F f* B B* b b*'.split())
image_ops = set('BI ID EI q Q Do cm'.split())
operator_whitelist = ' '.join(vector_ops | image_ops)
for n, op in enumerate(_normalize_stack(
for n, graphobj in enumerate(_normalize_stack(
pikepdf.parse_content_stream(contentstream, operator_whitelist))):
operands, command = op
operands, operator = graphobj
if command == 'q':
if operator == 'q':
stack.append(ctm)
if len(stack) > 32:
raise RuntimeError(
"PDF graphics stack overflow, command %i" % n)
elif command == 'Q':
"PDF graphics stack overflow, operator %i" % n)
elif operator == 'Q':
try:
ctm = stack.pop()
except IndexError:
raise RuntimeError(
"PDF graphics stack underflow, command %i" % n)
elif command == 'cm':
"PDF graphics stack underflow, operator %i" % n)
elif operator == 'cm':
ctm = PdfMatrix(operands) @ ctm
elif command == 'Do':
elif operator == 'Do':
image_name = operands[0]
settings = XobjectSettings(
name=image_name, shorthand=ctm.shorthand,
stack_depth=len(stack))
xobject_settings.append(settings)
elif command == 'INLINE IMAGE':
elif operator == 'INLINE IMAGE': # BI/ID/EI are grouped into this
iimage = operands[0]
inline = InlineSettings(
iimage=iimage, shorthand=ctm.shorthand,
stack_depth=len(stack))
inline_images.append(inline)
elif command in text_operators:
found_text = True
elif operator in vector_ops:
found_vector = True
return ContentsInfo(
xobject_settings=xobject_settings,
inline_images=inline_images,
found_text=found_text)
found_vector=found_vector)
def _get_dpi(ctm_shorthand, image_size):
@@ -388,7 +385,6 @@ def _find_regular_images(container, contentsinfo):
that contains images.
Generates images with their DPI at time of drawing.
"""
for pdfimage, xobj in _image_xobjects(container):
@@ -438,11 +434,11 @@ def _find_form_xobject_images(pdf, container, contentsinfo):
# but in practice both Form XObjects and multiple drawing of the
# same object are both very rare.
ctm_shorthand = settings.shorthand
yield from _find_images(
yield from _process_content_streams(
pdf=pdf, container=form_xobject, shorthand=ctm_shorthand)
def _find_images(*, pdf, container, shorthand=None):
def _process_content_streams(*, pdf, container, shorthand=None):
"""Find all individual instances of images drawn in the container
Usually the container is a page, but it may also be a Form XObject.
@@ -451,7 +447,7 @@ def _find_images(*, pdf, container, shorthand=None):
in an XObject.
Form XObjects may include inline images, XObject images,
and recursively, other Form XObjects; and also vector drawing commands.
and recursively, other Form XObjects; and also vector graphic objects.
Every instance of an image being drawn somewhere is flattened and
treated as a unique image, since if the same image is drawn multiple times
@@ -483,48 +479,13 @@ def _find_images(*, pdf, container, shorthand=None):
contentsinfo = _interpret_contents(container, initial_shorthand)
if contentsinfo.found_vector:
yield VectorInfo()
yield from _find_inline_images(contentsinfo)
yield from _find_regular_images(container, contentsinfo)
yield from _find_form_xobject_images(pdf, container, contentsinfo)
def _page_get_textblocks(infile, pageno, xmltext):
"""Smarter text detection"""
root = xmltext
if not hasattr(xmltext, 'findall'):
return []
def blocks():
for span in root.findall('.//span'):
bbox_str = span.attrib['bbox']
font_size = span.attrib['size']
pts = [int(pt) for pt in bbox_str.split()]
pts[1] = pts[1] - int(float(font_size) + 0.5)
bbox = tuple(pts)
yield bbox
def joined_blocks():
prev = None
for bbox in blocks():
if prev is None:
prev = bbox
if bbox[1] == prev[1] and bbox[3] == prev[3]:
gap = prev[2] - bbox[0]
height = bbox[3] - bbox[1]
if gap < height:
# Join boxes
prev = (prev[0], prev[1], bbox[2], bbox[3])
continue
# yield previously joined bboxes and start anew
yield prev
prev = bbox
if prev is not None:
yield prev
return [block for block in joined_blocks()]
def _page_has_text(text_blocks, page_width, page_height):
"""Smarter text detection that ignores text in margins"""
@@ -532,18 +493,19 @@ def _page_has_text(text_blocks, page_width, page_height):
margin_ratio = 0.125
interior_bbox = (
margin_ratio * pw, margin_ratio * ph,
(1 - margin_ratio) * pw, (1 - margin_ratio) * ph
margin_ratio * pw, # left
(1 - margin_ratio) * ph, # top
(1 - margin_ratio) * pw, # right
margin_ratio * ph # bottom (first quadrant: bottom < top)
)
def rects_intersect(a, b):
"""
Where (a,b) are 4-tuple rects (left-0, top-1, right-2, bottom-3)
https://stackoverflow.com/questions/306316/determine-if-two-rectangles-overlap-each-other
Negative signs to account for our coordinates being in the fourth quadrant
and the formula assuming the first
Formula assumes all boxes are in first quadrant
"""
return a[0] < b[2] and a[2] > b[0] and -a[1] > -b[3] and -a[3] < -b[1]
return a[0] < b[2] and a[2] > b[0] and a[1] > b[3] and a[3] < b[1]
has_text = False
for bbox in text_blocks:
@@ -553,22 +515,43 @@ def _page_has_text(text_blocks, page_width, page_height):
return has_text
def simplify_textboxes(miner):
"""Extract only limited content from text boxes
We do this to save memory and ensure that our objects are pickleable.
"""
for box in get_text_boxes(miner):
first_line = box._objs[0]
first_char = first_line._objs[0]
visible = (first_char.rendermode != 3)
corrupt = (first_char.get_text() == '\ufffd')
yield TextboxInfo(box.bbox, visible, corrupt)
def _pdf_get_pageinfo(pdf, pageno: int, infile, xmltext):
pageinfo = {}
pageinfo['pageno'] = pageno
pageinfo['images'] = []
page = pdf.pages[pageno]
pageinfo['textinfo'] = _page_get_textblocks(
fspath(infile), pageno, xmltext=xmltext)
mediabox = [Decimal(d) for d in page.MediaBox.as_list()]
width_pt = mediabox[2] - mediabox[0]
height_pt = mediabox[3] - mediabox[1]
if xmltext:
bboxes = ghosttext.page_get_textblocks(
fspath(infile), pageno, xmltext=xmltext, height=height_pt)
pageinfo['bboxes'] = bboxes
else:
pscript5_mode = str(pdf.metadata.get('/Creator')).startswith('PScript5')
miner = get_page_analysis(infile, pageno, pscript5_mode)
pageinfo['textboxes'] = list(simplify_textboxes(miner))
bboxes = (box.bbox for box in pageinfo['textboxes'])
pageinfo['has_text'] = _page_has_text(
pageinfo['textinfo'], width_pt, height_pt)
bboxes, width_pt, height_pt
)
userunit = page.get('/UserUnit', Decimal(1.0))
if not isinstance(userunit, Decimal):
@@ -583,9 +566,16 @@ def _pdf_get_pageinfo(pdf, pageno: int, infile, xmltext):
pageinfo['rotate'] = 0
userunit_shorthand = (userunit, 0, 0, userunit, 0, 0)
pageinfo['images'] = [im for im in
_find_images(pdf=pdf, container=page,
shorthand=userunit_shorthand)]
contentsinfo = [ci for ci in
_process_content_streams(pdf=pdf, container=page,
shorthand=userunit_shorthand)]
pageinfo['has_vector'] = False
if any(isinstance(ci, VectorInfo) for ci in contentsinfo):
pageinfo['has_vector'] = True
pageinfo['images'] = [im for im in contentsinfo
if isinstance(im, ImageInfo)]
if pageinfo['images']:
xres = Decimal(max(image.xres for image in pageinfo['images']))
yres = Decimal(max(image.yres for image in pageinfo['images']))
@@ -598,37 +588,20 @@ def _pdf_get_pageinfo(pdf, pageno: int, infile, xmltext):
return pageinfo
def _pdf_get_all_pageinfo(infile, log=None):
def _pdf_get_all_pageinfo(infile, detailed_page_analysis, log=None):
if not log:
log = Mock()
pdf = pikepdf.open(infile)
existing_text = ghostscript.extract_text(infile, pageno=None)
existing_text = regex_remove_char_tags.sub(b' ', existing_text)
try:
root = ET.fromstringlist([
b'<document>\n', existing_text, b'</document>\n'
])
page_xml = root.findall('page')
except ET.ParseError as e:
log.error(
"An error occurred while attempting to retrieve existing text in "
"the input file. Will attempt to continue assuming that there is "
"no existing text in the file. The error was:")
log.error(e)
page_xml = [None] * len(pdf.pages)
page_count_difference = len(pdf.pages) - len(page_xml)
if page_count_difference != 0:
log.error("The number of pages in the input file is inconsistent.")
if page_count_difference > 0:
page_xml.extend([None] * page_count_difference)
if not detailed_page_analysis:
pages_xml = None
else:
pages_xml = ghosttext.extract_text_xml(infile, pdf, pageno=None, log=log)
pages = []
for n in range(len(pdf.pages)):
page = PageInfo(pdf, n, infile, page_xml[n])
page_xml = pages_xml[n] if pages_xml else None
page = PageInfo(pdf, n, infile, page_xml)
pages.append(page)
return pages, pdf
@@ -648,6 +621,14 @@ class PageInfo:
def has_text(self):
return self._pageinfo['has_text']
@property
def has_corrupt_text(self):
return any(tbox.is_corrupt for tbox in self._pageinfo['textboxes'])
@property
def has_vector(self):
return self._pageinfo['has_vector']
@property
def width_inches(self):
return self._pageinfo['width_inches']
@@ -679,8 +660,26 @@ class PageInfo:
def images(self):
return self._pageinfo['images']
def get_textareas(self):
yield from self._pageinfo['textinfo']
def get_textareas(self, visible=None, corrupt=None):
def predicate(obj, want_visible, want_corrupt):
result = True
if want_visible is not None:
if obj.is_visible != want_visible:
result = False
if want_corrupt is not None:
if obj.is_corrupt != want_corrupt:
result = False
return result
if 'textboxes' not in self._pageinfo:
if visible is not None and corrupt is not None:
raise NotImplementedError(
'Ghostscript textboxes cannot be classified')
return self._pageinfo['bboxes']
return (obj.bbox for obj in self._pageinfo['textboxes']
if predicate(obj, visible, corrupt))
@property
def xres(self):
@@ -712,13 +711,14 @@ class PageInfo:
class PdfInfo:
"""Get summary information about a PDF
"""Get summary information about a PDF"""
"""
def __init__(self, infile, log=None):
def __init__(self, infile, detailed_page_analysis=False, log=None):
self._infile = infile
self._pages, pdf = _pdf_get_all_pageinfo(infile, log=log)
self._pages, pdf = _pdf_get_all_pageinfo(
infile, detailed_page_analysis, log=log)
self._needs_rendering = pdf.root.get('/NeedsRendering', False)
self._has_acroform = '/AcroForm' in pdf.root
@property
def pages(self):
@@ -733,6 +733,10 @@ class PdfInfo:
def has_userunit(self):
return any(page.userunit != 1.0 for page in self.pages)
@property
def has_acroform(self):
return self._has_acroform
@property
def filename(self):
if not isinstance(self._infile, (str, Path)):
+96
View File
@@ -0,0 +1,96 @@
# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import re
import xml.etree.ElementTree as ET
from ..exec import ghostscript
# Forgive me for I have sinned
# I am using regular expressions to parse XML. However the XML in this case,
# generated by Ghostscript, is self-consistent enough to be parseable.
regex_remove_char_tags = re.compile(br"""
<char\b
(?: [^>] # anything single character but >
| \">\" # special case: trap ">"
)*
/> # terminate with '/>'
""", re.VERBOSE)
def page_get_textblocks(infile, pageno, xmltext, height):
"""Get text boxes out of Ghostscript txtwrite xml"""
root = xmltext
if not hasattr(xmltext, 'findall'):
return []
def blocks():
for span in root.findall('.//span'):
bbox_str = span.attrib['bbox']
font_size = span.attrib['size']
pts = [int(pt) for pt in bbox_str.split()]
pts[1] = pts[1] - int(float(font_size) + 0.5)
bbox_topdown = tuple(pts)
bb = bbox_topdown
bbox_bottomup = (bb[0], height - bb[3], bb[2], height - bb[1])
yield bbox_bottomup
def joined_blocks():
prev = None
for bbox in blocks():
if prev is None:
prev = bbox
if bbox[1] == prev[1] and bbox[3] == prev[3]:
gap = prev[2] - bbox[0]
height = abs(bbox[3] - bbox[1])
if gap < height:
# Join boxes
prev = (prev[0], prev[1], bbox[2], bbox[3])
continue
# yield previously joined bboxes and start anew
yield prev
prev = bbox
if prev is not None:
yield prev
return [block for block in joined_blocks()]
def extract_text_xml(infile, pdf, pageno=None, log=None):
existing_text = ghostscript.extract_text(infile, pageno=None)
existing_text = regex_remove_char_tags.sub(b' ', existing_text)
try:
root = ET.fromstringlist([
b'<document>\n', existing_text, b'</document>\n'
])
page_xml = root.findall('page')
except ET.ParseError as e:
log.error(
"An error occurred while attempting to retrieve existing text in "
"the input file. Will attempt to continue assuming that there is "
"no existing text in the file. The error was:")
log.error(e)
page_xml = [None] * len(pdf.pages)
page_count_difference = len(pdf.pages) - len(page_xml)
if page_count_difference != 0:
log.error("The number of pages in the input file is inconsistent.")
if page_count_difference > 0:
page_xml.extend([None] * page_count_difference)
return page_xml
+220
View File
@@ -0,0 +1,220 @@
# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import re
from math import copysign
from pathlib import Path
from unittest.mock import patch
import pdfminer.encodingdb
import pdfminer.pdfdevice
import pdfminer.pdfinterp
from pdfminer.converter import PDFLayoutAnalyzer
from pdfminer.glyphlist import glyphname2unicode
from pdfminer.layout import (LAParams, LTChar, LTContainer, LTLayoutContainer,
LTPage, LTTextBox, LTTextLine)
from pdfminer.pdfdocument import PDFTextExtractionNotAllowed
from pdfminer.pdffont import (PDFCIDFont, PDFFont, PDFType3Font,
PDFUnicodeNotDefined)
from pdfminer.pdfpage import PDFPage
from pdfminer.utils import bbox2str, fsplit, matrix2str
from ..exceptions import EncryptedPdfError
STRIP_NAME = re.compile(r'[0-9]+')
#
# Unconditional pdfminer patches
#
def name2unicode(name):
"""Fix pdfminer's regex in name2unicode function
Font cids that are mapped to names of the form /g123 seem to be, by convention
characters with no corresponding Unicode entry. These can be subsetted fonts
or symbolic fonts. There seems to be no way to map /g123 fonts to Unicode,
barring a ToUnicode data structure.
"""
if name in glyphname2unicode:
return glyphname2unicode[name]
if name.startswith('g'):
raise KeyError(name)
m = STRIP_NAME.search(name)
if not m:
raise KeyError(name)
return chr(int(m.group(0)))
pdfminer.encodingdb.name2unicode = name2unicode
original_PDFFont_init = PDFFont.__init__
def PDFFont__init__(self, descriptor, widths, default_width=None):
original_PDFFont_init(self, descriptor, widths, default_width)
# PDF spec says descent should be negative
# A font with a positive descent implies it floats entirely above the
# baseline, i.e. it's not really a baseline anymore. I have fonts that
# claim a positive descent, but treating descent as positive always seems
# to misposition text.
if self.descent > 0:
self.descent = -self.descent
PDFFont.__init__ = PDFFont__init__
#
# pdfminer patches when creator is PScript5.dll
#
def PDFType3Font__PScript5_get_height(self):
h = self.bbox[3]-self.bbox[1]
if h == 0:
h = self.ascent - self.descent
return h * copysign(1.0, self.vscale)
def PDFType3Font__PScript5_get_descent(self):
return self.descent * copysign(1.0, self.vscale)
def PDFType3Font__PScript5_get_ascent(self):
return self.ascent * copysign(1.0, self.vscale)
class LTStateAwareChar(LTChar):
"""A subclass of LTChar that tracks text render mode at time of drawing"""
__slots__ = (
'rendermode', '_text', 'matrix', 'fontname', 'adv', 'upright', 'size',
'width', 'height', 'bbox', 'x0', 'x1', 'y0', 'y1'
)
def __init__(self, matrix, font, fontsize, scaling, rise, text, textwidth,
textdisp, textstate, *args):
super().__init__(matrix, font, fontsize, scaling, rise, text, textwidth,
textdisp, *args)
self.rendermode = textstate.render
def is_compatible(self, obj):
"""Check if characters can be combined into a textline
We consider characters compatible if:
- the Unicode mapping is known, and both have the same render mode
- the Unicode mapping is unknown but both are part of the same font
"""
both_unicode_mapped = (isinstance(self._text, str) and
isinstance(obj._text, str))
try:
if both_unicode_mapped:
return self.rendermode == obj.rendermode
font0, _ = self._text
font1, _ = obj._text
return font0 == font1 and self.rendermode == obj.rendermode
except (ValueError, AttributeError):
return False
def get_text(self):
if isinstance(self._text, tuple):
return ''
return self._text
def __repr__(self):
return ('<%s %s matrix=%s rendermode=%r font=%r adv=%s text=%r>' %
(self.__class__.__name__, bbox2str(self.bbox),
matrix2str(self.matrix), self.rendermode, self.fontname, self.adv,
self.get_text()))
class TextPositionTracker(PDFLayoutAnalyzer):
"""A page layout analyzer that pays attention to text visibility"""
def __init__(self, rsrcmgr, pageno=1, laparams=None):
super().__init__(rsrcmgr, pageno, laparams)
self.textstate = None
self.result = None
def begin_page(self, page, ctm):
super().begin_page(page, ctm)
self.cur_item = LTPage(self.pageno, page.mediabox)
def end_page(self, page):
assert not self._stack, str(len(self._stack))
assert isinstance(self.cur_item, LTPage), str(type(self.cur_item))
if self.laparams is not None:
self.cur_item.analyze(self.laparams)
self.pageno += 1
self.receive_layout(self.cur_item)
def render_string(self, textstate, seq, *args):
self.textstate = textstate.copy()
super().render_string(self.textstate, seq, *args)
def render_char(self, matrix, font, fontsize, scaling, rise, cid, *args):
try:
text = font.to_unichr(cid)
assert isinstance(text, str), str(type(text))
except PDFUnicodeNotDefined:
text = self.handle_undefined_char(font, cid)
textwidth = font.char_width(cid)
textdisp = font.char_disp(cid)
item = LTStateAwareChar(
matrix, font, fontsize, scaling, rise, text,
textwidth, textdisp, self.textstate, *args)
self.cur_item.add(item)
return item.adv
def handle_undefined_char(self, font, cid):
#log.info('undefined: %r, %r', font, cid)
return (font.fontname, cid)
def receive_layout(self, ltpage):
self.result = ltpage
def get_result(self):
return self.result
def get_page_analysis(infile, pageno, pscript5_mode):
rman = pdfminer.pdfinterp.PDFResourceManager(caching=True)
dev = TextPositionTracker(rman, laparams=LAParams())
interp = pdfminer.pdfinterp.PDFPageInterpreter(rman, dev)
if pscript5_mode:
patcher = patch.multiple(
'pdfminer.pdffont.PDFType3Font',
spec=True,
get_ascent=PDFType3Font__PScript5_get_ascent,
get_descent=PDFType3Font__PScript5_get_descent,
get_height=PDFType3Font__PScript5_get_height
)
patcher.start()
with Path(infile).open('rb') as f:
page = PDFPage.get_pages(f, pagenos=[pageno], maxpages=0)
try:
interp.process_page(next(page))
except PDFTextExtractionNotAllowed as e:
raise EncryptedPdfError()
finally:
if pscript5_mode:
patcher.stop()
return dev.get_result()
def get_text_boxes(obj):
for child in obj:
if isinstance(child, (LTTextBox)):
yield child
else:
try:
yield from get_text_boxes(child)
except TypeError:
continue
+9 -4
View File
@@ -18,13 +18,18 @@
import sys
import os
import platform
pytest_plugins = ['helpers_namespace']
import pytest
from pathlib import Path
from subprocess import Popen, PIPE
pytest_plugins = ['helpers_namespace']
import pytest
try:
from pytest_cov.embed import cleanup_on_sigterm
except ImportError:
pass
else:
cleanup_on_sigterm()
# pylint: disable=E1101
# pytest.helpers is dynamic so it confuses pylint
+62 -1
View File
@@ -18,9 +18,14 @@
import os
import shutil
import pytest
import sys
from pickle import dumps, loads
import pytest
from PIL import Image, ImageChops
import ocrmypdf.leptonica as lept
from ocrmypdf.helpers import fspath
def test_colormap_backgroundnorm(resources):
@@ -28,3 +33,59 @@ def test_colormap_backgroundnorm(resources):
# can handle that case
pix = lept.Pix.open(resources / 'baiona_colormapped.png')
pix.background_norm()
@pytest.fixture
def crom_pix(resources):
pix = lept.Pix.open(resources / 'crom.png')
im = Image.open(resources / 'crom.png')
return pix, im
def test_pix_basic(crom_pix):
pix, im = crom_pix
assert pix.width == im.width
assert pix.height == im.height
assert pix.mode == im.mode
def test_pil_conversion(crom_pix):
pix, im = crom_pix
# Check for pixel perfect
assert ImageChops.difference(pix.topil(), im).getbbox() is None
def test_pix_otsu(crom_pix):
pix, _ = crom_pix
im1bpp = pix.otsu_adaptive_threshold()
assert im1bpp.mode == '1'
def test_crop(resources):
pix = lept.Pix.open(resources / 'linn.png')
foreground = pix.crop_to_foreground()
assert foreground.width < pix.width
def test_clean_bg(resources):
pix = lept.Pix.open(resources / 'congress.jpg')
imbg = pix.clean_background_to_white()
def test_pickle(crom_pix):
pix, _ = crom_pix
pickled = dumps(pix)
pix2 = loads(pickled)
assert pix.mode == pix2.mode
def test_leptonica_compile(tmpdir):
from ocrmypdf.lib.compile_leptonica import ffibuilder
# Compile the library but build it somewhere that won't interfere with
# existing compiled library. Also compile in API mode so that we test
# the interfaces, even though we use it ABI mode.
ffibuilder.compile(tmpdir=fspath(tmpdir),
target=fspath(tmpdir / 'lepttest.*'))
+28 -4
View File
@@ -28,7 +28,7 @@ import PIL
import pytest
from ocrmypdf.pdfinfo import PdfInfo, Colorspace, Encoding
from ocrmypdf.exceptions import ExitCode
from ocrmypdf.exceptions import ExitCode, MissingDependencyError
from ocrmypdf.exec import ghostscript, qpdf, tesseract
from ocrmypdf.pdfa import file_claims_pdfa
from ocrmypdf.leptonica import Pix
@@ -190,11 +190,22 @@ def test_force_ocr(spoof_tesseract_cache, resources, outpdf):
def test_skip_ocr(spoof_tesseract_cache, resources, outpdf):
out = check_ocrmypdf(resources / 'graph_ocred.pdf', outpdf, '-s',
env=spoof_tesseract_cache)
env=spoof_tesseract_cache)
pdfinfo = PdfInfo(out)
assert pdfinfo[0].has_text
def test_redo_ocr(spoof_tesseract_cache, resources, outpdf):
in_ = resources / 'graph_ocred.pdf'
before = PdfInfo(in_, detailed_page_analysis=True)
out = check_ocrmypdf(in_, outpdf, '--redo-ocr',
env=spoof_tesseract_cache)
after = PdfInfo(out, detailed_page_analysis=True)
assert before[0].has_text and after[0].has_text
assert before[0].get_textareas() != after[0].get_textareas(), \
"Expected text to be different after re-OCR"
def test_argsfile(spoof_tesseract_noop, resources, outdir):
path_argsfile = outdir / 'test_argsfile.txt'
with open(str(path_argsfile), 'w') as argsfile:
@@ -208,7 +219,7 @@ def test_argsfile(spoof_tesseract_noop, resources, outdir):
@pytest.mark.parametrize('renderer', RENDERERS)
def test_ocr_timeout(renderer, resources, outpdf):
out = check_ocrmypdf(resources / 'skew.pdf', outpdf,
'--tesseract-timeout', '0.01',
'--tesseract-timeout', '0',
'--pdf-renderer', renderer)
pdfinfo = PdfInfo(out)
assert not pdfinfo[0].has_text
@@ -377,7 +388,7 @@ def test_tesseract_image_too_big(renderer, spoof_tesseract_big_image_error,
def test_algo4(resources, spoof_tesseract_noop, outpdf):
p, _, _ = run_ocrmypdf(resources / 'encrypted_algo4.pdf', outpdf,
env=spoof_tesseract_noop)
assert p.returncode == ExitCode.ok
assert p.returncode == ExitCode.encrypted_pdf
@pytest.mark.parametrize('renderer', RENDERERS)
@@ -934,3 +945,16 @@ def test_livecycle(resources, no_outpdf):
)
assert p.returncode == ExitCode.input_file, err
def test_version_check():
from ocrmypdf.exec import get_version
with pytest.raises(MissingDependencyError):
get_version('NOT_FOUND_UNLIKELY_ON_PATH')
with pytest.raises(MissingDependencyError):
get_version('sh', version_arg='-c')
with pytest.raises(MissingDependencyError):
get_version('echo')
+16 -2
View File
@@ -145,13 +145,13 @@ def test_pickle(resources):
# For multiprocessing we must be able to pickle our information - if
# this fails then we are probably storing some unpickleabe pikepdf or
# other external data around
filename = resources / 'formxobject.pdf'
filename = resources / 'graph_ocred.pdf'
pdf = pdfinfo.PdfInfo(filename)
pickle.dumps(pdf)
def test_regex():
rx = pdfinfo.regex_remove_char_tags
rx = pdfinfo.ghosttext.regex_remove_char_tags
must_match = [
b'<char bbox="0 108 0 108" c="/"/>',
@@ -169,3 +169,17 @@ def test_regex():
assert rx.match(s)
for s in must_not_match:
assert not rx.match(s)
def test_vector(resources):
filename = resources / 'vector.pdf'
pdf = pdfinfo.PdfInfo(filename)
assert pdf[0].has_vector
assert not pdf[0].has_text
def test_ocr_detection(resources):
filename = resources / 'graph_ocred.pdf'
pdf = pdfinfo.PdfInfo(filename)
assert not pdf[0].has_vector
assert pdf[0].has_text
+24
View File
@@ -0,0 +1,24 @@
# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import pytest
import ocrmypdf.exec.qpdf as qpdf
def test_qpdf_error(resources):
assert qpdf.check(resources / 'blank.pdf')
assert not qpdf.check(__file__)
+14 -1
View File
@@ -17,6 +17,7 @@
import logging
from io import BytesIO
from unittest.mock import Mock
from PIL import Image
import pytest
@@ -25,7 +26,7 @@ import pikepdf
from ocrmypdf import leptonica
from ocrmypdf.pdfinfo import PdfInfo
from ocrmypdf.exec import ghostscript
from ocrmypdf.exec import ghostscript, tesseract
from ocrmypdf.helpers import fspath
@@ -169,6 +170,8 @@ def test_rotate_deskew_timeout(resources, outdir):
check_ocrmypdf(
resources / 'rotated_skew.pdf',
outdir / 'deskewed.pdf',
'--rotate-pages',
'--rotate-pages-threshold', '0',
'--deskew',
'--tesseract-timeout', '0',
'--pdf-renderer', 'sandwich'
@@ -226,3 +229,13 @@ def test_rotate_page_level(image_angle, page_angle, resources, outdir):
assert p.returncode == 0, err
assert check_monochrome_correlation(outdir, reference, 1, out, 1) > 0.2
def test_tesseract_orientation(resources, tmpdir):
pix = leptonica.Pix.open(resources / 'crom.png')
pix_rotated = pix.rotate_orth(2) # 180 degrees clockwise
pix_rotated.write_implied_format(tmpdir / '000001.png')
log = Mock()
tesseract.get_orientation( # Test results of this are unreliable
tmpdir / '000001.png', engine_mode='3', timeout=10, log=log)
+19 -3
View File
@@ -16,8 +16,9 @@
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import pytest
from ocrmypdf.exceptions import ExitCode
from ocrmypdf.exceptions import ExitCode, MissingDependencyError
from ocrmypdf.exec import tesseract
from ocrmypdf.helpers import fspath
from ocrmypdf import pdfinfo
import sys
import os
@@ -43,6 +44,7 @@ def _ensure_tess4():
tess4 = Path(os.environ['OCRMYPDF_TESS4'])
assert tess4.is_file()
env['PATH'] = tess4.parent + ':' + env['PATH']
env['OCRMYPDF_TESS4'] = os.environ['OCRMYPDF_TESS4']
return env
raise EnvironmentError("Can't find Tesseract 4")
@@ -56,9 +58,12 @@ def ensure_tess4():
@contextmanager
def modified_os_environ(env):
old_env = os.environ.copy()
os.environ = env
os.environ.update(env)
yield
os.environ = old_env
for key in env:
del os.environ[key]
if key in old_env:
os.environ[key] = old_env[key]
def tess4_available():
@@ -149,3 +154,14 @@ def test_content_preservation(ensure_tess4, resources, outpdf):
info = pdfinfo.PdfInfo(outpdf)
page = info[0]
assert len(page.images) > 1, "masks were rasterized"
def test_no_languages(ensure_tess4, tmpdir):
env = ensure_tess4
(tmpdir / 'tessdata').mkdir()
env['TESSDATA_PREFIX'] = fspath(tmpdir)
with modified_os_environ(env):
with pytest.raises(MissingDependencyError):
tesseract.languages.cache_clear()
tesseract.languages()