mirror of
https://github.com/qurator-spk/eynollah.git
synced 2025-07-01 06:59:54 +02:00
Merge pull request #138 from qurator-spk/extracting_images_only
Extracting images only
This commit is contained in:
vahidrezanezhad
GitHub
commit
bceeeb56c1
34 changed files with 778 additions and 723 deletions
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@ -1,51 +0,0 @@
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version: 2
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jobs:
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build-python37:
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machine:
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- image: ubuntu-2004:2023.02.1
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steps:
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- checkout
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- restore_cache:
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keys:
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- model-cache
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- run: make models
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- save_cache:
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key: model-cache
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paths:
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models_eynollah.tar.gz
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models_eynollah
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- run:
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name: "Set Python Version"
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command: pyenv install -s 3.7.16 && pyenv global 3.7.16
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- run: make install
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- run: make smoke-test
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build-python38:
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machine:
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- image: ubuntu-2004:2023.02.1
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steps:
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- checkout
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- restore_cache:
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keys:
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- model-cache
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- run: make models
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- save_cache:
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key: model-cache
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paths:
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models_eynollah.tar.gz
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models_eynollah
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- run:
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name: "Set Python Version"
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command: pyenv install -s 3.8.16 && pyenv global 3.8.16
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- run: make install
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- run: make smoke-test
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workflows:
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version: 2
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build:
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jobs:
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# - build-python37
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- build-python38
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8
.github/workflows/test-eynollah.yml
vendored
8
.github/workflows/test-eynollah.yml
vendored
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@ -1,7 +1,7 @@
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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: Python package
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name: Test
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on: [push]
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@ -14,8 +14,8 @@ jobs:
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python-version: ['3.8', '3.9', '3.10', '3.11']
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steps:
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- uses: actions/checkout@v2
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- uses: actions/cache@v2
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- uses: actions/checkout@v4
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- uses: actions/cache@v4
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id: model_cache
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with:
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path: models_eynollah
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|
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@ -24,7 +24,7 @@ jobs:
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if: steps.model_cache.outputs.cache-hit != 'true'
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run: make models
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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|
|
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10
CHANGELOG.md
10
CHANGELOG.md
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@ -5,6 +5,14 @@ Versioned according to [Semantic Versioning](http://semver.org/).
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## Unreleased
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## [0.3.1] - 2024-08-27
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Fixed:
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* regression in OCR-D processor, #106
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* Expected Ptrcv::UMat for argument 'contour', #110
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* Memory usage explosion with very narrow images (e.g. book spine), #67
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## [0.3.0] - 2023-05-13
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Changed:
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@ -117,6 +125,8 @@ Fixed:
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Initial release
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<!-- link-labels -->
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[0.3.1]: ../../compare/v0.3.1...v0.3.0
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[0.3.0]: ../../compare/v0.3.0...v0.2.0
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[0.2.0]: ../../compare/v0.2.0...v0.1.0
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[0.1.0]: ../../compare/v0.1.0...v0.0.11
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[0.0.11]: ../../compare/v0.0.11...v0.0.10
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8
Makefile
8
Makefile
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@ -22,16 +22,14 @@ help:
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models: models_eynollah
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models_eynollah: models_eynollah.tar.gz
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# tar xf models_eynollah_renamed.tar.gz --transform 's/models_eynollah_renamed/models_eynollah/'
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# tar xf models_eynollah_renamed.tar.gz
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# tar xf 2022-04-05.SavedModel.tar.gz --transform 's/models_eynollah_renamed/models_eynollah/'
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tar xf models_eynollah.tar.gz
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models_eynollah.tar.gz:
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# wget 'https://qurator-data.de/eynollah/2021-04-25/models_eynollah.tar.gz'
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# wget 'https://qurator-data.de/eynollah/2022-04-05/models_eynollah_renamed.tar.gz'
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# wget 'https://ocr-d.kba.cloud/2022-04-05.SavedModel.tar.gz'
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wget https://github.com/qurator-spk/eynollah/releases/download/v0.3.0/models_eynollah.tar.gz
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# wget 'https://qurator-data.de/eynollah/2022-04-05/models_eynollah_renamed_savedmodel.tar.gz'
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# wget 'https://github.com/qurator-spk/eynollah/releases/download/v0.3.0/models_eynollah.tar.gz'
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wget 'https://github.com/qurator-spk/eynollah/releases/download/v0.3.1/models_eynollah.tar.gz'
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# Install with pip
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install:
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|
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67
README.md
67
README.md
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@ -1,10 +1,10 @@
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# Eynollah
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> Document Layout Analysis (segmentation) using pre-trained models and heuristics
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> Document Layout Analysis with Deep Learning and Heuristics
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[](https://pypi.org/project/eynollah/)
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[](https://circleci.com/gh/qurator-spk/eynollah)
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[](https://github.com/qurator-spk/eynollah/actions/workflows/test-eynollah.yml)
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[](https://opensource.org/license/apache-2-0/)
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[](https://doi.org/10.1145/3604951.3605513)
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@ -14,16 +14,18 @@
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* Support for various image optimization operations:
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* cropping (border detection), binarization, deskewing, dewarping, scaling, enhancing, resizing
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* Text line segmentation to bounding boxes or polygons (contours) including for curved lines and vertical text
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* Detection of reading order
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* Detection of reading order (left-to-right or right-to-left)
|
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* Output in [PAGE-XML](https://github.com/PRImA-Research-Lab/PAGE-XML)
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* [OCR-D](https://github.com/qurator-spk/eynollah#use-as-ocr-d-processor) interface
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:warning: Development is currently focused on achieving the best possible quality of results for a wide variety of historical documents and therefore processing can be very slow. We aim to improve this, but contributions are welcome.
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## Installation
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Python versions `3.8-3.11` with Tensorflow versions >=`2.12` are currently supported.
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Python `3.8-3.11` with Tensorflow `2.12-2.15` on Linux are currently supported.
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For (limited) GPU support the CUDA toolkit needs to be installed.
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You can either install via
|
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You can either install from PyPI
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```
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pip install eynollah
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@ -39,45 +41,49 @@ cd eynollah; pip install -e .
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Alternatively, you can run `make install` or `make install-dev` for editable installation.
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## Models
|
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Pre-trained models can be downloaded from [qurator-data.de](https://qurator-data.de/eynollah/).
|
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Pre-trained models can be downloaded from [qurator-data.de](https://qurator-data.de/eynollah/) or [huggingface](https://huggingface.co/SBB?search_models=eynollah).
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|
||||
In case you want to train your own model to use with Eynollah, have a look at [sbb_pixelwise_segmentation](https://github.com/qurator-spk/sbb_pixelwise_segmentation).
|
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## Train
|
||||
🚧 **Work in progress**
|
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|
||||
In case you want to train your own model, have a look at [`sbb_pixelwise_segmentation`](https://github.com/qurator-spk/sbb_pixelwise_segmentation).
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## Usage
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The command-line interface can be called like this:
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```sh
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eynollah \
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-i <image file> \
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-i <single image file> | -di <directory containing image files> \
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-o <output directory> \
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-m <path to directory containing model files> \
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-m <directory containing model files> \
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[OPTIONS]
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```
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The following options can be used to further configure the processing:
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| option | description |
|
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|----------|:-------------|
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| `-fl` | full layout analysis including all steps and segmentation classes |
|
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| `-light` | lighter and faster but simpler method for main region detection and deskewing |
|
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| `-tab` | apply table detection |
|
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| `-ae` | apply enhancement (the resulting image is saved to the output directory) |
|
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| `-as` | apply scaling |
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| `-cl` | apply contour detection for curved text lines instead of bounding boxes |
|
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| `-ib` | apply binarization (the resulting image is saved to the output directory) |
|
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| `-ep` | enable plotting (MUST always be used with `-sl`, `-sd`, `-sa`, `-si` or `-ae`) |
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| `-ho` | ignore headers for reading order dectection |
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| `-di <directory>` | process all images in a directory in batch mode |
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| `-si <directory>` | save image regions detected to this directory |
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| `-sd <directory>` | save deskewed image to this directory |
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| `-sl <directory>` | save layout prediction as plot to this directory |
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| `-sp <directory>` | save cropped page image to this directory |
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| `-sa <directory>` | save all (plot, enhanced/binary image, layout) to this directory |
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| option | description |
|
||||
|-------------------|:-------------------------------------------------------------------------------|
|
||||
| `-fl` | full layout analysis including all steps and segmentation classes |
|
||||
| `-light` | lighter and faster but simpler method for main region detection and deskewing |
|
||||
| `-tab` | apply table detection |
|
||||
| `-ae` | apply enhancement (the resulting image is saved to the output directory) |
|
||||
| `-as` | apply scaling |
|
||||
| `-cl` | apply contour detection for curved text lines instead of bounding boxes |
|
||||
| `-ib` | apply binarization (the resulting image is saved to the output directory) |
|
||||
| `-ep` | enable plotting (MUST always be used with `-sl`, `-sd`, `-sa`, `-si` or `-ae`) |
|
||||
| `-eoi` | extract only images to output directory (other processing will not be done) |
|
||||
| `-ho` | ignore headers for reading order dectection |
|
||||
| `-si <directory>` | save image regions detected to this directory |
|
||||
| `-sd <directory>` | save deskewed image to this directory |
|
||||
| `-sl <directory>` | save layout prediction as plot to this directory |
|
||||
| `-sp <directory>` | save cropped page image to this directory |
|
||||
| `-sa <directory>` | save all (plot, enhanced/binary image, layout) to this directory |
|
||||
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If no option is set, the tool will perform layout detection of main regions (background, text, images, separators and marginals).
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The tool produces better quality output when RGB images are used as input than greyscale or binarized images.
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If no option is set, the tool performs layout detection of main regions (background, text, images, separators and marginals).
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The best output quality is produced when RGB images are used as input rather than greyscale or binarized images.
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#### Use as OCR-D processor
|
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🚧 **Work in progress**
|
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||||
Eynollah ships with a CLI interface to be used as [OCR-D](https://ocr-d.de) processor.
|
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|
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|
@ -95,11 +101,14 @@ ocrd-eynollah-segment -I OCR-D-IMG-BIN -O SEG-LINE -P models
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uses the original (RGB) image despite any binarization that may have occured in previous OCR-D processing steps
|
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|
||||
#### Additional documentation
|
||||
Please check the [wiki](https://github.com/qurator-spk/eynollah/wiki).
|
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|
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## How to cite
|
||||
If you find this tool useful in your work, please consider citing our paper:
|
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|
||||
```bibtex
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@inproceedings{rezanezhad2023eynollah,
|
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@inproceedings{hip23rezanezhad,
|
||||
title = {Document Layout Analysis with Deep Learning and Heuristics},
|
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author = {Rezanezhad, Vahid and Baierer, Konstantin and Gerber, Mike and Labusch, Kai and Neudecker, Clemens},
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booktitle = {Proceedings of the 7th International Workshop on Historical Document Imaging and Processing {HIP} 2023,
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|
|
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|
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@ -1 +1 @@
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qurator/eynollah/ocrd-tool.json
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src/eynollah/ocrd-tool.json
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@ -1,34 +1,43 @@
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[build-system]
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requires = ["setuptools>=61.0"]
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build-backend = "setuptools.build_meta"
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requires = ["setuptools>=61.0", "wheel", "setuptools-ocrd"]
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[project]
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name = "eynollah"
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version = "0.1.0"
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authors = [
|
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{name = "Vahid Rezanezhad"},
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{name = "Staatsbibliothek zu Berlin - Preußischer Kulturbesitz"},
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]
|
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description = "Document Layout Analysis"
|
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readme = "README.md"
|
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license.file = "LICENSE"
|
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requires-python = ">=3.8"
|
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keywords = ["document layout analysis", "image segmentation"]
|
||||
|
||||
dynamic = ["dependencies", "version"]
|
||||
|
||||
|
||||
|
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dependencies = [
|
||||
"ocrd >= 2.23.3",
|
||||
"tensorflow == 2.12.1",
|
||||
"scikit-learn >= 0.23.2",
|
||||
"imutils >= 0.5.3",
|
||||
"numpy < 1.24.0",
|
||||
"matplotlib",
|
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"torch == 2.0.1",
|
||||
"transformers == 4.30.2",
|
||||
"numba == 0.58.1",
|
||||
classifiers = [
|
||||
"Development Status :: 4 - Beta",
|
||||
"Environment :: Console",
|
||||
"Intended Audience :: Science/Research",
|
||||
"License :: OSI Approved :: Apache Software License",
|
||||
"Programming Language :: Python :: 3",
|
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"Programming Language :: Python :: 3 :: Only",
|
||||
"Topic :: Scientific/Engineering :: Image Processing",
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
eynollah = "qurator.eynollah.cli:main"
|
||||
ocrd-eynollah-segment="qurator.eynollah.ocrd_cli:main"
|
||||
eynollah = "eynollah.cli:main"
|
||||
ocrd-eynollah-segment = "eynollah.ocrd_cli:main"
|
||||
|
||||
[project.urls]
|
||||
Homepage = "https://github.com/qurator-spk/eynollah"
|
||||
Repository = "https://github.com/qurator-spk/eynollah.git"
|
||||
|
||||
[tool.setuptools.dynamic]
|
||||
dependencies = {file = ["requirements.txt"]}
|
||||
|
||||
[tool.setuptools.packages.find]
|
||||
where = ["."]
|
||||
include = ["qurator"]
|
||||
where = ["src"]
|
||||
|
||||
[tool.setuptools.package-data]
|
||||
"*" = ["*.json", '*.yml', '*.xml', '*.xsd']
|
||||
|
|
|
|||
|
|
@ -1 +0,0 @@
|
|||
__import__("pkg_resources").declare_namespace(__name__)
|
||||
|
|
@ -1 +0,0 @@
|
|||
|
||||
|
|
@ -1,8 +1,9 @@
|
|||
import sys
|
||||
import click
|
||||
from ocrd_utils import initLogging, setOverrideLogLevel
|
||||
from qurator.eynollah.eynollah import Eynollah
|
||||
from qurator.eynollah.sbb_binarize import SbbBinarizer
|
||||
from eynollah.eynollah import Eynollah
|
||||
from eynollah.eynollah import Eynollah
|
||||
from eynollah.sbb_binarize import SbbBinarizer
|
||||
|
||||
@click.group()
|
||||
def main():
|
||||
|
|
@ -146,6 +147,12 @@ def binarization(patches, model_dir, input_image, output_image, dir_in, dir_out)
|
|||
is_flag=True,
|
||||
help="If set, will plot intermediary files and images",
|
||||
)
|
||||
@click.option(
|
||||
"--extract_only_images/--disable-extracting_only_images",
|
||||
"-eoi/-noeoi",
|
||||
is_flag=True,
|
||||
help="If a directory is given, only images in documents will be cropped and saved there and the other processing will not be done",
|
||||
)
|
||||
@click.option(
|
||||
"--allow-enhancement/--no-allow-enhancement",
|
||||
"-ae/-noae",
|
||||
|
|
@ -247,7 +254,7 @@ def binarization(patches, model_dir, input_image, output_image, dir_in, dir_out)
|
|||
help="Override log level globally to this",
|
||||
)
|
||||
|
||||
def layout(image, out, dir_in, model, save_images, save_layout, save_deskewed, save_all, save_page, enable_plotting, allow_enhancement, curved_line, textline_light, full_layout, tables, right2left, input_binary, allow_scaling, headers_off, light_version, reading_order_machine_based, do_ocr, num_col_upper, num_col_lower, skip_layout_and_reading_order, ignore_page_extraction, log_level):
|
||||
def layout(image, out, dir_in, model, save_images, save_layout, save_deskewed, save_all, extract_only_images, save_page, enable_plotting, allow_enhancement, curved_line, textline_light, full_layout, tables, right2left, input_binary, allow_scaling, headers_off, light_version, reading_order_machine_based, do_ocr, num_col_upper, num_col_lower, skip_layout_and_reading_order, ignore_page_extraction, log_level):
|
||||
if log_level:
|
||||
setOverrideLogLevel(log_level)
|
||||
initLogging()
|
||||
|
|
@ -260,6 +267,9 @@ def layout(image, out, dir_in, model, save_images, save_layout, save_deskewed, s
|
|||
if textline_light and not light_version:
|
||||
print('Error: You used -tll to enable light textline detection but -light is not enabled')
|
||||
sys.exit(1)
|
||||
|
||||
if extract_only_images and (allow_enhancement or allow_scaling or light_version or curved_line or textline_light or full_layout or tables or right2left or headers_off) :
|
||||
print('Error: You used -eoi which can not be enabled alongside light_version -light or allow_scaling -as or allow_enhancement -ae or curved_line -cl or textline_light -tll or full_layout -fl or tables -tab or right2left -r2l or headers_off -ho')
|
||||
if light_version and not textline_light:
|
||||
print('Error: You used -light without -tll. Light version need light textline to be enabled.')
|
||||
sys.exit(1)
|
||||
|
|
@ -269,6 +279,7 @@ def layout(image, out, dir_in, model, save_images, save_layout, save_deskewed, s
|
|||
dir_in=dir_in,
|
||||
dir_models=model,
|
||||
dir_of_cropped_images=save_images,
|
||||
extract_only_images=extract_only_images,
|
||||
dir_of_layout=save_layout,
|
||||
dir_of_deskewed=save_deskewed,
|
||||
dir_of_all=save_all,
|
||||
File diff suppressed because it is too large
Load diff
|
|
@ -1,5 +1,5 @@
|
|||
{
|
||||
"version": "0.3.0",
|
||||
"version": "0.3.1",
|
||||
"git_url": "https://github.com/qurator-spk/eynollah",
|
||||
"tools": {
|
||||
"ocrd-eynollah-segment": {
|
||||
|
|
@ -52,10 +52,10 @@
|
|||
},
|
||||
"resources": [
|
||||
{
|
||||
"description": "models for eynollah (TensorFlow format)",
|
||||
"url": "https://github.com/qurator-spk/eynollah/releases/download/v0.3.0/models_eynollah.tar.gz",
|
||||
"description": "models for eynollah (TensorFlow SavedModel format)",
|
||||
"url": "https://github.com/qurator-spk/eynollah/releases/download/v0.3.1/models_eynollah.tar.gz",
|
||||
"name": "default",
|
||||
"size": 1761991295,
|
||||
"size": 1894627041,
|
||||
"type": "archive",
|
||||
"path_in_archive": "models_eynollah"
|
||||
}
|
||||
|
|
@ -42,7 +42,7 @@ class EynollahProcessor(Processor):
|
|||
page = pcgts.get_Page()
|
||||
# XXX loses DPI information
|
||||
# page_image, _, _ = self.workspace.image_from_page(page, page_id, feature_filter='binarized')
|
||||
image_filename = self.workspace.download_file(next(self.workspace.mets.find_files(url=page.imageFilename))).local_filename
|
||||
image_filename = self.workspace.download_file(next(self.workspace.mets.find_files(local_filename=page.imageFilename))).local_filename
|
||||
eynollah_kwargs = {
|
||||
'dir_models': self.resolve_resource(self.parameter['models']),
|
||||
'allow_enhancement': False,
|
||||
|
|
@ -202,10 +202,18 @@ class EynollahXmlWriter():
|
|||
page.add_ImageRegion(img_region)
|
||||
points_co = ''
|
||||
for lmm in range(len(found_polygons_text_region_img[mm])):
|
||||
points_co += str(int((found_polygons_text_region_img[mm][lmm,0,0] + page_coord[2]) / self.scale_x))
|
||||
points_co += ','
|
||||
points_co += str(int((found_polygons_text_region_img[mm][lmm,0,1] + page_coord[0]) / self.scale_y))
|
||||
points_co += ' '
|
||||
try:
|
||||
points_co += str(int((found_polygons_text_region_img[mm][lmm,0,0] + page_coord[2]) / self.scale_x))
|
||||
points_co += ','
|
||||
points_co += str(int((found_polygons_text_region_img[mm][lmm,0,1] + page_coord[0]) / self.scale_y))
|
||||
points_co += ' '
|
||||
except:
|
||||
|
||||
points_co += str(int((found_polygons_text_region_img[mm][lmm][0] + page_coord[2])/ self.scale_x ))
|
||||
points_co += ','
|
||||
points_co += str(int((found_polygons_text_region_img[mm][lmm][1] + page_coord[0])/ self.scale_y ))
|
||||
points_co += ' '
|
||||
|
||||
img_region.get_Coords().set_points(points_co[:-1])
|
||||
|
||||
for mm in range(len(polygons_lines_to_be_written_in_xml)):
|
||||
|
|
@ -1,5 +1,5 @@
|
|||
from tests.base import main
|
||||
from qurator.eynollah.utils.counter import EynollahIdCounter
|
||||
from eynollah.utils.counter import EynollahIdCounter
|
||||
|
||||
def test_counter_string():
|
||||
c = EynollahIdCounter()
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
import cv2
|
||||
from pathlib import Path
|
||||
from qurator.eynollah.utils.pil_cv2 import check_dpi
|
||||
from eynollah.utils.pil_cv2 import check_dpi
|
||||
from tests.base import main
|
||||
|
||||
def test_dpi():
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@ from os import environ
|
|||
from pathlib import Path
|
||||
from ocrd_utils import pushd_popd
|
||||
from tests.base import CapturingTestCase as TestCase, main
|
||||
from qurator.eynollah.cli import main as eynollah_cli
|
||||
from eynollah.cli import main as eynollah_cli
|
||||
|
||||
testdir = Path(__file__).parent.resolve()
|
||||
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
def test_utils_import():
|
||||
import qurator.eynollah.utils
|
||||
import qurator.eynollah.utils.contour
|
||||
import qurator.eynollah.utils.drop_capitals
|
||||
import qurator.eynollah.utils.drop_capitals
|
||||
import qurator.eynollah.utils.is_nan
|
||||
import qurator.eynollah.utils.rotate
|
||||
import eynollah.utils
|
||||
import eynollah.utils.contour
|
||||
import eynollah.utils.drop_capitals
|
||||
import eynollah.utils.drop_capitals
|
||||
import eynollah.utils.is_nan
|
||||
import eynollah.utils.rotate
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
from pytest import main
|
||||
from qurator.eynollah.utils.xml import create_page_xml
|
||||
from eynollah.utils.xml import create_page_xml
|
||||
from ocrd_models.ocrd_page import to_xml
|
||||
|
||||
PAGE_2019 = 'http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15'
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue