├── .gitignore ├── LICENSE ├── README.md ├── deep-learning-datasets-maker ├── Makefile ├── README.html ├── README.txt ├── __init__.py ├── help │ ├── Makefile │ ├── make.bat │ └── source │ │ ├── conf.py │ │ └── index.rst ├── i18n │ └── af.ts ├── icon.png ├── metadata.txt ├── pb_tool.cfg ├── plugin_upload.py ├── pylintrc ├── resources.py ├── resources.qrc ├── scripts │ ├── compile-strings.sh │ ├── run-env-linux.sh │ └── update-strings.sh ├── split_rs_data.py ├── split_rs_data_dialog.py ├── split_rs_data_dialog_base.ui ├── test │ ├── __init__.py │ ├── qgis_interface.py │ ├── tenbytenraster.asc │ ├── tenbytenraster.asc.aux.xml │ ├── tenbytenraster.keywords │ ├── tenbytenraster.lic │ ├── tenbytenraster.prj │ ├── tenbytenraster.qml │ ├── test_init.py │ ├── test_qgis_environment.py │ ├── test_resources.py │ ├── test_split_rs_data_dialog.py │ ├── test_translations.py │ └── utilities.py └── utils │ ├── COCO │ ├── __init__.py │ ├── pycococreatortools │ │ ├── __init__.py │ │ └── pycococreatortools.py │ ├── shape_to_coco.py │ ├── slice_dataset.py │ ├── tif_process.py │ └── visualize_coco.py │ ├── __init__.py │ ├── checkPIP.py │ ├── color.txt │ ├── intSegGDAL.py │ ├── paddlepaddle_split_dataset_list.py │ ├── rasterize.py │ └── splitting.py ├── docs └── img │ ├── logo.png │ └── logo2.png └── requirements.txt /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__/ 2 | .qt_for_python/ 3 | .vscode/settings.json 4 | data/ 5 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 
2 |
3 |

4 |

Deep Learning Dataset Maker

5 |

We ❤️ Open Source

6 |
7 |
8 | 9 | [![Python 3.8](https://img.shields.io/badge/python-3.8-blue.svg)](https://www.python.org/downloads/release/python-380/) [![QGIS 3.16.13](https://img.shields.io/badge/qgis-3.16.13-green.svg)](https://www.qgis.org/) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) ![license](https://img.shields.io/github/license/deepbands/buildseg) ![release](https://img.shields.io/badge/release-v0.2-red.svg) 10 | 11 | ## Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data. 12 | Run [QGIS Desktop App (3.18)](https://qgis.org/en/site/) vi BinderHub! Click the button below to launch a server: 13 | 14 | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Youssef-Harby/jupyter-qgis/qgis?urlpath=desktop) 15 | 16 | 17 |

18 | 19 | 20 | 21 |

22 | 23 | ## How to use 24 | 25 | 1. Download and install [QGIS](https://www.qgis.org/en/site/) and clone the repo : 26 | ``` git 27 | git clone git@github.com:deepbands/deep-learning-datasets-maker.git 28 | ``` 29 | 2. Install requirements : 30 | - Enter the folder and install dependent libraries using OSGeo4W shell (Open As Administrator) : 31 | ``` shell 32 | cd deep-learning-datasets-maker 33 | pip install -r requirements.txt 34 | ``` 35 | - Or open OSGeo4W shell as administrator and enter : 36 | ``` shell 37 | pip install Cython scikit-image Pillow pycocotools --user 38 | ``` 39 | 40 | 3. Copy folder named deep-learning-datasets-maker in QGIS configuration folder and choose the plugin from plugin manager in QGIS (If not appeared restart QGIS). 41 | - You can know this folder from QGIS Setting Menu at the top-left of QGIS UI `Settings > User Profiles > Open Active Profile Folder` . 42 | - Go to `python/plugins` then paste the deep-learning-datasets-maker folder. 43 | - Full path should be like : `C:\Users\$USER\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins\deep-learning-datasets-maker`. 44 | 45 | 4. Open QGIS, load your raster and vector data then select the output paths for rasterized, images and labels then click `ok`. 46 | 47 | ## TODO 48 | **v0.2** 49 | - [ ] Fix: If vector layer saved in memory not in file, `rasterize` can't work. 50 | - [x] Splitting raster data into equal pieces with [GDAL](https://github.com/OSGeo/gdal) , https://gdal.org/. 51 | - [X] Fix: Splitiing Image Size. 52 | - [x] Rasterize shapefile to raster in the same satellite pixel size and projection. 53 | - [x] Convert 24 or 16 bit raster to 8 bit. 54 | - [x] Export as jpg (for raster) and png (for rasterized shapefile) with GDAL. 55 | - [X] Converted semantic segmentation (0 and 1) to instance segmentation for labels (the original label is 0/255) option, and the result is a single-channel image that uses a palette to color. ![](https://s3.bmp.ovh/imgs/2021/09/008c5b768b7e477a.png) 56 | - [X] PaddlePaddle Train/Val/Testing list text. 57 | - [X] Use GDAL for instance segmentation instead of openCV. 58 | - [X] Support COCO format. 59 | - [X] Update plugin's UI : 60 | - [X] Add new checkbox for other annotations like COCO. 61 | 62 | **v0.3** 63 | - [ ] Fix : raster and vector full path on Linux/macOS (Sometimes cannot gdal/ogr.open from the full path because of forward slash ``/path_to_raster`` and backward slash ``\path_to_raster`` ) 64 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/Makefile: -------------------------------------------------------------------------------- 1 | #/*************************************************************************** 2 | # SplitRSData 3 | # 4 | # tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets 5 | # ------------------- 6 | # begin : 2021-12-08 7 | # git sha : $Format:%H$ 8 | # copyright : (C) 2021 by Youssef Harby 9 | # email : youssef_harby@yahoo.com 10 | # ***************************************************************************/ 11 | # 12 | #/*************************************************************************** 13 | # * * 14 | # * This program is free software; you can redistribute it and/or modify * 15 | # * it under the terms of the GNU General Public License as published by * 16 | # * the Free Software Foundation; either version 2 of the License, or * 17 | # * (at your option) any later version. * 18 | # * * 19 | # ***************************************************************************/ 20 | 21 | ################################################# 22 | # Edit the following to match your sources lists 23 | ################################################# 24 | 25 | 26 | #Add iso code for any locales you want to support here (space separated) 27 | # default is no locales 28 | # LOCALES = af 29 | LOCALES = 30 | 31 | # If locales are enabled, set the name of the lrelease binary on your system. If 32 | # you have trouble compiling the translations, you may have to specify the full path to 33 | # lrelease 34 | #LRELEASE = lrelease 35 | #LRELEASE = lrelease-qt4 36 | 37 | 38 | # translation 39 | SOURCES = \ 40 | __init__.py \ 41 | split_rs_data.py split_rs_data_dialog.py 42 | 43 | PLUGINNAME = split_rs_data 44 | 45 | PY_FILES = \ 46 | __init__.py \ 47 | split_rs_data.py split_rs_data_dialog.py 48 | 49 | UI_FILES = split_rs_data_dialog_base.ui 50 | 51 | EXTRAS = metadata.txt icon.png 52 | 53 | EXTRA_DIRS = 54 | 55 | COMPILED_RESOURCE_FILES = resources.py 56 | 57 | PEP8EXCLUDE=pydev,resources.py,conf.py,third_party,ui 58 | 59 | # QGISDIR points to the location where your plugin should be installed. 60 | # This varies by platform, relative to your HOME directory: 61 | # * Linux: 62 | # .local/share/QGIS/QGIS3/profiles/default/python/plugins/ 63 | # * Mac OS X: 64 | # Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins 65 | # * Windows: 66 | # AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins' 67 | 68 | QGISDIR=C:\Users\Youss\AppData/Roaming/QGIS/QGIS3/profiles/default/python/plugins 69 | 70 | ################################################# 71 | # Normally you would not need to edit below here 72 | ################################################# 73 | 74 | HELP = help/build/html 75 | 76 | PLUGIN_UPLOAD = $(c)/plugin_upload.py 77 | 78 | RESOURCE_SRC=$(shell grep '^ *@@g;s/.*>//g' | tr '\n' ' ') 79 | 80 | .PHONY: default 81 | default: 82 | @echo While you can use make to build and deploy your plugin, pb_tool 83 | @echo is a much better solution. 84 | @echo A Python script, pb_tool provides platform independent management of 85 | @echo your plugins and runs anywhere. 86 | @echo You can install pb_tool using: pip install pb_tool 87 | @echo See https://g-sherman.github.io/plugin_build_tool/ for info. 88 | 89 | compile: $(COMPILED_RESOURCE_FILES) 90 | 91 | %.py : %.qrc $(RESOURCES_SRC) 92 | pyrcc5 -o $*.py $< 93 | 94 | %.qm : %.ts 95 | $(LRELEASE) $< 96 | 97 | test: compile transcompile 98 | @echo 99 | @echo "----------------------" 100 | @echo "Regression Test Suite" 101 | @echo "----------------------" 102 | 103 | @# Preceding dash means that make will continue in case of errors 104 | @-export PYTHONPATH=`pwd`:$(PYTHONPATH); \ 105 | export QGIS_DEBUG=0; \ 106 | export QGIS_LOG_FILE=/dev/null; \ 107 | nosetests -v --with-id --with-coverage --cover-package=. \ 108 | 3>&1 1>&2 2>&3 3>&- || true 109 | @echo "----------------------" 110 | @echo "If you get a 'no module named qgis.core error, try sourcing" 111 | @echo "the helper script we have provided first then run make test." 112 | @echo "e.g. source run-env-linux.sh ; make test" 113 | @echo "----------------------" 114 | 115 | deploy: compile doc transcompile 116 | @echo 117 | @echo "------------------------------------------" 118 | @echo "Deploying plugin to your .qgis2 directory." 119 | @echo "------------------------------------------" 120 | # The deploy target only works on unix like operating system where 121 | # the Python plugin directory is located at: 122 | # $HOME/$(QGISDIR)/python/plugins 123 | mkdir -p $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME) 124 | cp -vf $(PY_FILES) $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME) 125 | cp -vf $(UI_FILES) $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME) 126 | cp -vf $(COMPILED_RESOURCE_FILES) $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME) 127 | cp -vf $(EXTRAS) $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME) 128 | cp -vfr i18n $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME) 129 | cp -vfr $(HELP) $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME)/help 130 | # Copy extra directories if any 131 | (foreach EXTRA_DIR,(EXTRA_DIRS), cp -R (EXTRA_DIR) (HOME)/(QGISDIR)/python/plugins/(PLUGINNAME)/;) 132 | 133 | 134 | # The dclean target removes compiled python files from plugin directory 135 | # also deletes any .git entry 136 | dclean: 137 | @echo 138 | @echo "-----------------------------------" 139 | @echo "Removing any compiled python files." 140 | @echo "-----------------------------------" 141 | find $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME) -iname "*.pyc" -delete 142 | find $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME) -iname ".git" -prune -exec rm -Rf {} \; 143 | 144 | 145 | derase: 146 | @echo 147 | @echo "-------------------------" 148 | @echo "Removing deployed plugin." 149 | @echo "-------------------------" 150 | rm -Rf $(HOME)/$(QGISDIR)/python/plugins/$(PLUGINNAME) 151 | 152 | zip: deploy dclean 153 | @echo 154 | @echo "---------------------------" 155 | @echo "Creating plugin zip bundle." 156 | @echo "---------------------------" 157 | # The zip target deploys the plugin and creates a zip file with the deployed 158 | # content. You can then upload the zip file on http://plugins.qgis.org 159 | rm -f $(PLUGINNAME).zip 160 | cd $(HOME)/$(QGISDIR)/python/plugins; zip -9r $(CURDIR)/$(PLUGINNAME).zip $(PLUGINNAME) 161 | 162 | package: compile 163 | # Create a zip package of the plugin named $(PLUGINNAME).zip. 164 | # This requires use of git (your plugin development directory must be a 165 | # git repository). 166 | # To use, pass a valid commit or tag as follows: 167 | # make package VERSION=Version_0.3.2 168 | @echo 169 | @echo "------------------------------------" 170 | @echo "Exporting plugin to zip package. " 171 | @echo "------------------------------------" 172 | rm -f $(PLUGINNAME).zip 173 | git archive --prefix=$(PLUGINNAME)/ -o $(PLUGINNAME).zip $(VERSION) 174 | echo "Created package: $(PLUGINNAME).zip" 175 | 176 | upload: zip 177 | @echo 178 | @echo "-------------------------------------" 179 | @echo "Uploading plugin to QGIS Plugin repo." 180 | @echo "-------------------------------------" 181 | $(PLUGIN_UPLOAD) $(PLUGINNAME).zip 182 | 183 | transup: 184 | @echo 185 | @echo "------------------------------------------------" 186 | @echo "Updating translation files with any new strings." 187 | @echo "------------------------------------------------" 188 | @chmod +x scripts/update-strings.sh 189 | @scripts/update-strings.sh $(LOCALES) 190 | 191 | transcompile: 192 | @echo 193 | @echo "----------------------------------------" 194 | @echo "Compiled translation files to .qm files." 195 | @echo "----------------------------------------" 196 | @chmod +x scripts/compile-strings.sh 197 | @scripts/compile-strings.sh $(LRELEASE) $(LOCALES) 198 | 199 | transclean: 200 | @echo 201 | @echo "------------------------------------" 202 | @echo "Removing compiled translation files." 203 | @echo "------------------------------------" 204 | rm -f i18n/*.qm 205 | 206 | clean: 207 | @echo 208 | @echo "------------------------------------" 209 | @echo "Removing uic and rcc generated files" 210 | @echo "------------------------------------" 211 | rm $(COMPILED_UI_FILES) $(COMPILED_RESOURCE_FILES) 212 | 213 | doc: 214 | @echo 215 | @echo "------------------------------------" 216 | @echo "Building documentation using sphinx." 217 | @echo "------------------------------------" 218 | cd help; make html 219 | 220 | pylint: 221 | @echo 222 | @echo "-----------------" 223 | @echo "Pylint violations" 224 | @echo "-----------------" 225 | @pylint --reports=n --rcfile=pylintrc . || true 226 | @echo 227 | @echo "----------------------" 228 | @echo "If you get a 'no module named qgis.core' error, try sourcing" 229 | @echo "the helper script we have provided first then run make pylint." 230 | @echo "e.g. source run-env-linux.sh ; make pylint" 231 | @echo "----------------------" 232 | 233 | 234 | # Run pep8 style checking 235 | #http://pypi.python.org/pypi/pep8 236 | pep8: 237 | @echo 238 | @echo "-----------" 239 | @echo "PEP8 issues" 240 | @echo "-----------" 241 | @pep8 --repeat --ignore=E203,E121,E122,E123,E124,E125,E126,E127,E128 --exclude $(PEP8EXCLUDE) . || true 242 | @echo "-----------" 243 | @echo "Ignored in PEP8 check:" 244 | @echo $(PEP8EXCLUDE) 245 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/README.html: -------------------------------------------------------------------------------- 1 | 2 | 3 |

Plugin Builder Results

4 | 5 | Congratulations! You just built a plugin for QGIS!

6 | 7 |
8 | Your plugin SplitRSData was created in:
9 |   C:/Users/Youss/Documents/pp/New folder/myplugin\split_rs_data 10 |

11 | Your QGIS plugin directory is located at:
12 |   C:/Users/Youss/AppData/Roaming/QGIS/QGIS3/profiles/default/python/plugins 13 |

14 |

What's Next

15 |
    16 |
  1. If resources.py is not present in your plugin directory, compile the resources file using pyrcc5 (simply use pb_tool or make if you have automake) 17 |
  2. Optionally, test the generated sources using make test (or run tests from your IDE) 18 |
  3. Copy the entire directory containing your new plugin to the QGIS plugin directory (see Notes below) 19 |
  4. Test the plugin by enabling it in the QGIS plugin manager 20 |
  5. Customize it by editing the implementation file split_rs_data.py 21 |
  6. Create your own custom icon, replacing the default icon.png 22 |
  7. Modify your user interface by opening split_rs_data_dialog_base.ui in Qt Designer 23 |
24 | Notes: 25 |
    26 |
  • You can use pb_tool to compile, deploy, and manage your plugin. Tweak the pb_tool.cfg file included with your plugin as you add files. Install pb_tool using 27 | pip or easy_install. See http://loc8.cc/pb_tool for more information. 28 |
  • You can also use the Makefile to compile and deploy when you 29 | make changes. This requires GNU make (gmake). The Makefile is ready to use, however you 30 | will have to edit it to add addional Python source files, dialogs, and translations. 31 |
32 |
33 |
34 |

35 | For information on writing PyQGIS code, see http://loc8.cc/pyqgis_resources for a list of resources. 36 |

37 |
38 |

39 | ©2011-2019 GeoApt LLC - geoapt.com 40 |

41 | 42 | 43 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/README.txt: -------------------------------------------------------------------------------- 1 | Plugin Builder Results 2 | 3 | Your plugin SplitRSData was created in: 4 | C:/Users/Youss/Documents/pp/New folder/myplugin\split_rs_data 5 | 6 | Your QGIS plugin directory is located at: 7 | C:/Users/Youss/AppData/Roaming/QGIS/QGIS3/profiles/default/python/plugins 8 | 9 | What's Next: 10 | 11 | * Copy the entire directory containing your new plugin to the QGIS plugin 12 | directory 13 | 14 | * Compile the resources file using pyrcc5 15 | 16 | * Run the tests (``make test``) 17 | 18 | * Test the plugin by enabling it in the QGIS plugin manager 19 | 20 | * Customize it by editing the implementation file: ``split_rs_data.py`` 21 | 22 | * Create your own custom icon, replacing the default icon.png 23 | 24 | * Modify your user interface by opening SplitRSData_dialog_base.ui in Qt Designer 25 | 26 | * You can use the Makefile to compile your Ui and resource files when 27 | you make changes. This requires GNU make (gmake) 28 | 29 | For more information, see the PyQGIS Developer Cookbook at: 30 | http://www.qgis.org/pyqgis-cookbook/index.html 31 | 32 | (C) 2011-2018 GeoApt LLC - geoapt.com 33 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/__init__.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | /*************************************************************************** 4 | SplitRSData 5 | A QGIS plugin 6 | tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets 7 | Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/ 8 | ------------------- 9 | begin : 2021-12-08 10 | copyright : (C) 2021 by Youssef Harby 11 | email : youssef_harby@yahoo.com 12 | git sha : $Format:%H$ 13 | ***************************************************************************/ 14 | 15 | /*************************************************************************** 16 | * * 17 | * This program is free software; you can redistribute it and/or modify * 18 | * it under the terms of the GNU General Public License as published by * 19 | * the Free Software Foundation; either version 2 of the License, or * 20 | * (at your option) any later version. * 21 | * * 22 | ***************************************************************************/ 23 | This script initializes the plugin, making it known to QGIS. 24 | """ 25 | 26 | 27 | # noinspection PyPep8Naming 28 | def classFactory(iface): # pylint: disable=invalid-name 29 | """Load SplitRSData class from file SplitRSData. 30 | 31 | :param iface: A QGIS interface instance. 32 | :type iface: QgsInterface 33 | """ 34 | # 35 | from .split_rs_data import SplitRSData 36 | return SplitRSData(iface) 37 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/help/Makefile: -------------------------------------------------------------------------------- 1 | # Makefile for Sphinx documentation 2 | # 3 | 4 | # You can set these variables from the command line. 5 | SPHINXOPTS = 6 | SPHINXBUILD = sphinx-build 7 | PAPER = 8 | BUILDDIR = build 9 | 10 | # Internal variables. 11 | PAPEROPT_a4 = -D latex_paper_size=a4 12 | PAPEROPT_letter = -D latex_paper_size=letter 13 | ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) source 14 | 15 | .PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest 16 | 17 | help: 18 | @echo "Please use \`make ' where is one of" 19 | @echo " html to make standalone HTML files" 20 | @echo " dirhtml to make HTML files named index.html in directories" 21 | @echo " singlehtml to make a single large HTML file" 22 | @echo " pickle to make pickle files" 23 | @echo " json to make JSON files" 24 | @echo " htmlhelp to make HTML files and a HTML help project" 25 | @echo " qthelp to make HTML files and a qthelp project" 26 | @echo " devhelp to make HTML files and a Devhelp project" 27 | @echo " epub to make an epub" 28 | @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" 29 | @echo " latexpdf to make LaTeX files and run them through pdflatex" 30 | @echo " text to make text files" 31 | @echo " man to make manual pages" 32 | @echo " changes to make an overview of all changed/added/deprecated items" 33 | @echo " linkcheck to check all external links for integrity" 34 | @echo " doctest to run all doctests embedded in the documentation (if enabled)" 35 | 36 | clean: 37 | -rm -rf $(BUILDDIR)/* 38 | 39 | html: 40 | $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html 41 | @echo 42 | @echo "Build finished. The HTML pages are in $(BUILDDIR)/html." 43 | 44 | dirhtml: 45 | $(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml 46 | @echo 47 | @echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml." 48 | 49 | singlehtml: 50 | $(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml 51 | @echo 52 | @echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml." 53 | 54 | pickle: 55 | $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle 56 | @echo 57 | @echo "Build finished; now you can process the pickle files." 58 | 59 | json: 60 | $(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json 61 | @echo 62 | @echo "Build finished; now you can process the JSON files." 63 | 64 | htmlhelp: 65 | $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp 66 | @echo 67 | @echo "Build finished; now you can run HTML Help Workshop with the" \ 68 | ".hhp project file in $(BUILDDIR)/htmlhelp." 69 | 70 | qthelp: 71 | $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp 72 | @echo 73 | @echo "Build finished; now you can run "qcollectiongenerator" with the" \ 74 | ".qhcp project file in $(BUILDDIR)/qthelp, like this:" 75 | @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/template_class.qhcp" 76 | @echo "To view the help file:" 77 | @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/template_class.qhc" 78 | 79 | devhelp: 80 | $(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp 81 | @echo 82 | @echo "Build finished." 83 | @echo "To view the help file:" 84 | @echo "# mkdir -p $$HOME/.local/share/devhelp/template_class" 85 | @echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/template_class" 86 | @echo "# devhelp" 87 | 88 | epub: 89 | $(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub 90 | @echo 91 | @echo "Build finished. The epub file is in $(BUILDDIR)/epub." 92 | 93 | latex: 94 | $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex 95 | @echo 96 | @echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex." 97 | @echo "Run \`make' in that directory to run these through (pdf)latex" \ 98 | "(use \`make latexpdf' here to do that automatically)." 99 | 100 | latexpdf: 101 | $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex 102 | @echo "Running LaTeX files through pdflatex..." 103 | make -C $(BUILDDIR)/latex all-pdf 104 | @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." 105 | 106 | text: 107 | $(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text 108 | @echo 109 | @echo "Build finished. The text files are in $(BUILDDIR)/text." 110 | 111 | man: 112 | $(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man 113 | @echo 114 | @echo "Build finished. The manual pages are in $(BUILDDIR)/man." 115 | 116 | changes: 117 | $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes 118 | @echo 119 | @echo "The overview file is in $(BUILDDIR)/changes." 120 | 121 | linkcheck: 122 | $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck 123 | @echo 124 | @echo "Link check complete; look for any errors in the above output " \ 125 | "or in $(BUILDDIR)/linkcheck/output.txt." 126 | 127 | doctest: 128 | $(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest 129 | @echo "Testing of doctests in the sources finished, look at the " \ 130 | "results in $(BUILDDIR)/doctest/output.txt." 131 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/help/make.bat: -------------------------------------------------------------------------------- 1 | @ECHO OFF 2 | 3 | REM Command file for Sphinx documentation 4 | 5 | if "%SPHINXBUILD%" == "" ( 6 | set SPHINXBUILD=sphinx-build 7 | ) 8 | set BUILDDIR=build 9 | set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% source 10 | if NOT "%PAPER%" == "" ( 11 | set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS% 12 | ) 13 | 14 | if "%1" == "" goto help 15 | 16 | if "%1" == "help" ( 17 | :help 18 | echo.Please use `make ^` where ^ is one of 19 | echo. html to make standalone HTML files 20 | echo. dirhtml to make HTML files named index.html in directories 21 | echo. singlehtml to make a single large HTML file 22 | echo. pickle to make pickle files 23 | echo. json to make JSON files 24 | echo. htmlhelp to make HTML files and a HTML help project 25 | echo. qthelp to make HTML files and a qthelp project 26 | echo. devhelp to make HTML files and a Devhelp project 27 | echo. epub to make an epub 28 | echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter 29 | echo. text to make text files 30 | echo. man to make manual pages 31 | echo. changes to make an overview over all changed/added/deprecated items 32 | echo. linkcheck to check all external links for integrity 33 | echo. doctest to run all doctests embedded in the documentation if enabled 34 | goto end 35 | ) 36 | 37 | if "%1" == "clean" ( 38 | for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i 39 | del /q /s %BUILDDIR%\* 40 | goto end 41 | ) 42 | 43 | if "%1" == "html" ( 44 | %SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html 45 | echo. 46 | echo.Build finished. The HTML pages are in %BUILDDIR%/html. 47 | goto end 48 | ) 49 | 50 | if "%1" == "dirhtml" ( 51 | %SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml 52 | echo. 53 | echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml. 54 | goto end 55 | ) 56 | 57 | if "%1" == "singlehtml" ( 58 | %SPHINXBUILD% -b singlehtml %ALLSPHINXOPTS% %BUILDDIR%/singlehtml 59 | echo. 60 | echo.Build finished. The HTML pages are in %BUILDDIR%/singlehtml. 61 | goto end 62 | ) 63 | 64 | if "%1" == "pickle" ( 65 | %SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle 66 | echo. 67 | echo.Build finished; now you can process the pickle files. 68 | goto end 69 | ) 70 | 71 | if "%1" == "json" ( 72 | %SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json 73 | echo. 74 | echo.Build finished; now you can process the JSON files. 75 | goto end 76 | ) 77 | 78 | if "%1" == "htmlhelp" ( 79 | %SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp 80 | echo. 81 | echo.Build finished; now you can run HTML Help Workshop with the ^ 82 | .hhp project file in %BUILDDIR%/htmlhelp. 83 | goto end 84 | ) 85 | 86 | if "%1" == "qthelp" ( 87 | %SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp 88 | echo. 89 | echo.Build finished; now you can run "qcollectiongenerator" with the ^ 90 | .qhcp project file in %BUILDDIR%/qthelp, like this: 91 | echo.^> qcollectiongenerator %BUILDDIR%\qthelp\template_class.qhcp 92 | echo.To view the help file: 93 | echo.^> assistant -collectionFile %BUILDDIR%\qthelp\template_class.ghc 94 | goto end 95 | ) 96 | 97 | if "%1" == "devhelp" ( 98 | %SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp 99 | echo. 100 | echo.Build finished. 101 | goto end 102 | ) 103 | 104 | if "%1" == "epub" ( 105 | %SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub 106 | echo. 107 | echo.Build finished. The epub file is in %BUILDDIR%/epub. 108 | goto end 109 | ) 110 | 111 | if "%1" == "latex" ( 112 | %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex 113 | echo. 114 | echo.Build finished; the LaTeX files are in %BUILDDIR%/latex. 115 | goto end 116 | ) 117 | 118 | if "%1" == "text" ( 119 | %SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text 120 | echo. 121 | echo.Build finished. The text files are in %BUILDDIR%/text. 122 | goto end 123 | ) 124 | 125 | if "%1" == "man" ( 126 | %SPHINXBUILD% -b man %ALLSPHINXOPTS% %BUILDDIR%/man 127 | echo. 128 | echo.Build finished. The manual pages are in %BUILDDIR%/man. 129 | goto end 130 | ) 131 | 132 | if "%1" == "changes" ( 133 | %SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes 134 | echo. 135 | echo.The overview file is in %BUILDDIR%/changes. 136 | goto end 137 | ) 138 | 139 | if "%1" == "linkcheck" ( 140 | %SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck 141 | echo. 142 | echo.Link check complete; look for any errors in the above output ^ 143 | or in %BUILDDIR%/linkcheck/output.txt. 144 | goto end 145 | ) 146 | 147 | if "%1" == "doctest" ( 148 | %SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest 149 | echo. 150 | echo.Testing of doctests in the sources finished, look at the ^ 151 | results in %BUILDDIR%/doctest/output.txt. 152 | goto end 153 | ) 154 | 155 | :end 156 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/help/source/conf.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # SplitRSData documentation build configuration file, created by 4 | # sphinx-quickstart on Sun Feb 12 17:11:03 2012. 5 | # 6 | # This file is execfile()d with the current directory set to its containing dir. 7 | # 8 | # Note that not all possible configuration values are present in this 9 | # autogenerated file. 10 | # 11 | # All configuration values have a default; values that are commented out 12 | # serve to show the default. 13 | 14 | import sys, os 15 | 16 | # If extensions (or modules to document with autodoc) are in another directory, 17 | # add these directories to sys.path here. If the directory is relative to the 18 | # documentation root, use os.path.abspath to make it absolute, like shown here. 19 | #sys.path.insert(0, os.path.abspath('.')) 20 | 21 | # -- General configuration ----------------------------------------------------- 22 | 23 | # If your documentation needs a minimal Sphinx version, state it here. 24 | #needs_sphinx = '1.0' 25 | 26 | # Add any Sphinx extension module names here, as strings. They can be extensions 27 | # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. 28 | extensions = ['sphinx.ext.todo', 'sphinx.ext.imgmath', 'sphinx.ext.viewcode'] 29 | 30 | # Add any paths that contain templates here, relative to this directory. 31 | templates_path = ['_templates'] 32 | 33 | # The suffix of source filenames. 34 | source_suffix = '.rst' 35 | 36 | # The encoding of source files. 37 | #source_encoding = 'utf-8-sig' 38 | 39 | # The master toctree document. 40 | master_doc = 'index' 41 | 42 | # General information about the project. 43 | project = u'SplitRSData' 44 | copyright = u'2013, Youssef Harby' 45 | 46 | # The version info for the project you're documenting, acts as replacement for 47 | # |version| and |release|, also used in various other places throughout the 48 | # built documents. 49 | # 50 | # The short X.Y version. 51 | version = '0.1' 52 | # The full version, including alpha/beta/rc tags. 53 | release = '0.1' 54 | 55 | # The language for content autogenerated by Sphinx. Refer to documentation 56 | # for a list of supported languages. 57 | #language = None 58 | 59 | # There are two options for replacing |today|: either, you set today to some 60 | # non-false value, then it is used: 61 | #today = '' 62 | # Else, today_fmt is used as the format for a strftime call. 63 | #today_fmt = '%B %d, %Y' 64 | 65 | # List of patterns, relative to source directory, that match files and 66 | # directories to ignore when looking for source files. 67 | exclude_patterns = [] 68 | 69 | # The reST default role (used for this markup: `text`) to use for all documents. 70 | #default_role = None 71 | 72 | # If true, '()' will be appended to :func: etc. cross-reference text. 73 | #add_function_parentheses = True 74 | 75 | # If true, the current module name will be prepended to all description 76 | # unit titles (such as .. function::). 77 | #add_TemplateModuleNames = True 78 | 79 | # If true, sectionauthor and moduleauthor directives will be shown in the 80 | # output. They are ignored by default. 81 | #show_authors = False 82 | 83 | # The name of the Pygments (syntax highlighting) style to use. 84 | pygments_style = 'sphinx' 85 | 86 | # A list of ignored prefixes for module index sorting. 87 | #modindex_common_prefix = [] 88 | 89 | 90 | # -- Options for HTML output --------------------------------------------------- 91 | 92 | # The theme to use for HTML and HTML Help pages. See the documentation for 93 | # a list of builtin themes. 94 | html_theme = 'default' 95 | 96 | # Theme options are theme-specific and customize the look and feel of a theme 97 | # further. For a list of options available for each theme, see the 98 | # documentation. 99 | #html_theme_options = {} 100 | 101 | # Add any paths that contain custom themes here, relative to this directory. 102 | #html_theme_path = [] 103 | 104 | # The name for this set of Sphinx documents. If None, it defaults to 105 | # " v documentation". 106 | #html_title = None 107 | 108 | # A shorter title for the navigation bar. Default is the same as html_title. 109 | #html_short_title = None 110 | 111 | # The name of an image file (relative to this directory) to place at the top 112 | # of the sidebar. 113 | #html_logo = None 114 | 115 | # The name of an image file (within the static path) to use as favicon of the 116 | # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 117 | # pixels large. 118 | #html_favicon = None 119 | 120 | # Add any paths that contain custom static files (such as style sheets) here, 121 | # relative to this directory. They are copied after the builtin static files, 122 | # so a file named "default.css" will overwrite the builtin "default.css". 123 | html_static_path = ['_static'] 124 | 125 | # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, 126 | # using the given strftime format. 127 | #html_last_updated_fmt = '%b %d, %Y' 128 | 129 | # If true, SmartyPants will be used to convert quotes and dashes to 130 | # typographically correct entities. 131 | #html_use_smartypants = True 132 | 133 | # Custom sidebar templates, maps document names to template names. 134 | #html_sidebars = {} 135 | 136 | # Additional templates that should be rendered to pages, maps page names to 137 | # template names. 138 | #html_additional_pages = {} 139 | 140 | # If false, no module index is generated. 141 | #html_domain_indices = True 142 | 143 | # If false, no index is generated. 144 | #html_use_index = True 145 | 146 | # If true, the index is split into individual pages for each letter. 147 | #html_split_index = False 148 | 149 | # If true, links to the reST sources are added to the pages. 150 | #html_show_sourcelink = True 151 | 152 | # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. 153 | #html_show_sphinx = True 154 | 155 | # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. 156 | #html_show_copyright = True 157 | 158 | # If true, an OpenSearch description file will be output, and all pages will 159 | # contain a tag referring to it. The value of this option must be the 160 | # base URL from which the finished HTML is served. 161 | #html_use_opensearch = '' 162 | 163 | # This is the file name suffix for HTML files (e.g. ".xhtml"). 164 | #html_file_suffix = None 165 | 166 | # Output file base name for HTML help builder. 167 | htmlhelp_basename = 'TemplateClassdoc' 168 | 169 | 170 | # -- Options for LaTeX output -------------------------------------------------- 171 | 172 | # The paper size ('letter' or 'a4'). 173 | #latex_paper_size = 'letter' 174 | 175 | # The font size ('10pt', '11pt' or '12pt'). 176 | #latex_font_size = '10pt' 177 | 178 | # Grouping the document tree into LaTeX files. List of tuples 179 | # (source start file, target name, title, author, documentclass [howto/manual]). 180 | latex_documents = [ 181 | ('index', 'SplitRSData.tex', u'SplitRSData Documentation', 182 | u'Youssef Harby', 'manual'), 183 | ] 184 | 185 | # The name of an image file (relative to this directory) to place at the top of 186 | # the title page. 187 | #latex_logo = None 188 | 189 | # For "manual" documents, if this is true, then toplevel headings are parts, 190 | # not chapters. 191 | #latex_use_parts = False 192 | 193 | # If true, show page references after internal links. 194 | #latex_show_pagerefs = False 195 | 196 | # If true, show URL addresses after external links. 197 | #latex_show_urls = False 198 | 199 | # Additional stuff for the LaTeX preamble. 200 | #latex_preamble = '' 201 | 202 | # Documents to append as an appendix to all manuals. 203 | #latex_appendices = [] 204 | 205 | # If false, no module index is generated. 206 | #latex_domain_indices = True 207 | 208 | 209 | # -- Options for manual page output -------------------------------------------- 210 | 211 | # One entry per manual page. List of tuples 212 | # (source start file, name, description, authors, manual section). 213 | man_pages = [ 214 | ('index', 'TemplateClass', u'SplitRSData Documentation', 215 | [u'Youssef Harby'], 1) 216 | ] 217 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/help/source/index.rst: -------------------------------------------------------------------------------- 1 | .. SplitRSData documentation master file, created by 2 | sphinx-quickstart on Sun Feb 12 17:11:03 2012. 3 | You can adapt this file completely to your liking, but it should at least 4 | contain the root `toctree` directive. 5 | 6 | Welcome to SplitRSData's documentation! 7 | ============================================ 8 | 9 | Contents: 10 | 11 | .. toctree:: 12 | :maxdepth: 2 13 | 14 | Indices and tables 15 | ================== 16 | 17 | * :ref:`genindex` 18 | * :ref:`modindex` 19 | * :ref:`search` 20 | 21 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/i18n/af.ts: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | @default 5 | 6 | 7 | Good morning 8 | Goeie more 9 | 10 | 11 | 12 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/icon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepbands/deep-learning-datasets-maker/4b3c81e25f1a2eee08567fc874287ac1804af0f5/deep-learning-datasets-maker/icon.png -------------------------------------------------------------------------------- /deep-learning-datasets-maker/metadata.txt: -------------------------------------------------------------------------------- 1 | # This file contains metadata for your plugin. 2 | 3 | # This file should be included when you package your plugin.# Mandatory items: 4 | 5 | [general] 6 | name=Deep Learning Datasets Maker 7 | qgisMinimumVersion=3.0 8 | description=tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets 9 | version=0.2.2 10 | author=deepbands (Youssef Harby and Yizhou Chen) 11 | email=youssef_harby@yahoo.com 12 | 13 | about=tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets. Divide remote sensing images and their labels into data sets of specified size. (512×512 for example) 14 | 15 | tracker=https://github.com/deepbands/deep-learning-datasets-maker/issues 16 | repository=https://github.com/deepbands/deep-learning-datasets-maker 17 | # End of mandatory metadata 18 | 19 | # Recommended items: 20 | 21 | hasProcessingProvider=no 22 | # Uncomment the following line and add your changelog: 23 | # changelog= 24 | 25 | # Tags are comma separated with spaces allowed 26 | tags=Datasets Maker, remote sensing, satellite, artificial intelligence, machine learning, deep learning, feature extraction, classification, digitizing, forest, forestry, roads, building detection, construction detection, agricultural field detection 27 | 28 | homepage=https://github.com/deepbands/deep-learning-datasets-maker 29 | category=Plugins 30 | icon=icon.png 31 | # experimental flag 32 | experimental=True 33 | 34 | # deprecated flag (applies to the whole plugin, not just a single version) 35 | deprecated=False 36 | 37 | # Since QGIS 3.8, a comma separated list of plugins to be installed 38 | # (or upgraded) can be specified. 39 | # Check the documentation for more information. 40 | plugin_dependencies=Cython, scikit-image, pycocotools, Pillow 41 | 42 | Category of the plugin: Raster, Vector, Database or Web 43 | # category= 44 | 45 | # If the plugin can run on QGIS Server. 46 | server=False 47 | 48 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/pb_tool.cfg: -------------------------------------------------------------------------------- 1 | #/*************************************************************************** 2 | # SplitRSData 3 | # 4 | # Configuration file for plugin builder tool (pb_tool) 5 | # Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/ 6 | # ------------------- 7 | # begin : 2021-12-08 8 | # copyright : (C) 2021 by Youssef Harby 9 | # email : youssef_harby@yahoo.com 10 | # ***************************************************************************/ 11 | # 12 | #/*************************************************************************** 13 | # * * 14 | # * This program is free software; you can redistribute it and/or modify * 15 | # * it under the terms of the GNU General Public License as published by * 16 | # * the Free Software Foundation; either version 2 of the License, or * 17 | # * (at your option) any later version. * 18 | # * * 19 | # ***************************************************************************/ 20 | # 21 | # 22 | # You can install pb_tool using: 23 | # pip install http://geoapt.net/files/pb_tool.zip 24 | # 25 | # Consider doing your development (and install of pb_tool) in a virtualenv. 26 | # 27 | # For details on setting up and using pb_tool, see: 28 | # http://g-sherman.github.io/plugin_build_tool/ 29 | # 30 | # Issues and pull requests here: 31 | # https://github.com/g-sherman/plugin_build_tool: 32 | # 33 | # Sane defaults for your plugin generated by the Plugin Builder are 34 | # already set below. 35 | # 36 | # As you add Python source files and UI files to your plugin, add 37 | # them to the appropriate [files] section below. 38 | 39 | [plugin] 40 | # Name of the plugin. This is the name of the directory that will 41 | # be created in .qgis2/python/plugins 42 | name: split_rs_data 43 | 44 | # Full path to where you want your plugin directory copied. If empty, 45 | # the QGIS default path will be used. Don't include the plugin name in 46 | # the path. 47 | plugin_path: 48 | 49 | [files] 50 | # Python files that should be deployed with the plugin 51 | python_files: __init__.py split_rs_data.py split_rs_data_dialog.py 52 | 53 | # The main dialog file that is loaded (not compiled) 54 | main_dialog: split_rs_data_dialog_base.ui 55 | 56 | # Other ui files for dialogs you create (these will be compiled) 57 | compiled_ui_files: 58 | 59 | # Resource file(s) that will be compiled 60 | resource_files: resources.qrc 61 | 62 | # Other files required for the plugin 63 | extras: metadata.txt icon.png 64 | 65 | # Other directories to be deployed with the plugin. 66 | # These must be subdirectories under the plugin directory 67 | extra_dirs: 68 | 69 | # ISO code(s) for any locales (translations), separated by spaces. 70 | # Corresponding .ts files must exist in the i18n directory 71 | locales: 72 | 73 | [help] 74 | # the built help directory that should be deployed with the plugin 75 | dir: help/build/html 76 | # the name of the directory to target in the deployed plugin 77 | target: help 78 | 79 | 80 | 81 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/plugin_upload.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # coding=utf-8 3 | """This script uploads a plugin package to the plugin repository. 4 | Authors: A. Pasotti, V. Picavet 5 | git sha : $TemplateVCSFormat 6 | """ 7 | 8 | import sys 9 | import getpass 10 | import xmlrpc.client 11 | from optparse import OptionParser 12 | 13 | standard_library.install_aliases() 14 | 15 | # Configuration 16 | PROTOCOL = 'https' 17 | SERVER = 'plugins.qgis.org' 18 | PORT = '443' 19 | ENDPOINT = '/plugins/RPC2/' 20 | VERBOSE = False 21 | 22 | 23 | def main(parameters, arguments): 24 | """Main entry point. 25 | 26 | :param parameters: Command line parameters. 27 | :param arguments: Command line arguments. 28 | """ 29 | address = "{protocol}://{username}:{password}@{server}:{port}{endpoint}".format( 30 | protocol=PROTOCOL, 31 | username=parameters.username, 32 | password=parameters.password, 33 | server=parameters.server, 34 | port=parameters.port, 35 | endpoint=ENDPOINT) 36 | print("Connecting to: %s" % hide_password(address)) 37 | 38 | server = xmlrpc.client.ServerProxy(address, verbose=VERBOSE) 39 | 40 | try: 41 | with open(arguments[0], 'rb') as handle: 42 | plugin_id, version_id = server.plugin.upload( 43 | xmlrpc.client.Binary(handle.read())) 44 | print("Plugin ID: %s" % plugin_id) 45 | print("Version ID: %s" % version_id) 46 | except xmlrpc.client.ProtocolError as err: 47 | print("A protocol error occurred") 48 | print("URL: %s" % hide_password(err.url, 0)) 49 | print("HTTP/HTTPS headers: %s" % err.headers) 50 | print("Error code: %d" % err.errcode) 51 | print("Error message: %s" % err.errmsg) 52 | except xmlrpc.client.Fault as err: 53 | print("A fault occurred") 54 | print("Fault code: %d" % err.faultCode) 55 | print("Fault string: %s" % err.faultString) 56 | 57 | 58 | def hide_password(url, start=6): 59 | """Returns the http url with password part replaced with '*'. 60 | 61 | :param url: URL to upload the plugin to. 62 | :type url: str 63 | 64 | :param start: Position of start of password. 65 | :type start: int 66 | """ 67 | start_position = url.find(':', start) + 1 68 | end_position = url.find('@') 69 | return "%s%s%s" % ( 70 | url[:start_position], 71 | '*' * (end_position - start_position), 72 | url[end_position:]) 73 | 74 | 75 | if __name__ == "__main__": 76 | parser = OptionParser(usage="%prog [options] plugin.zip") 77 | parser.add_option( 78 | "-w", "--password", dest="password", 79 | help="Password for plugin site", metavar="******") 80 | parser.add_option( 81 | "-u", "--username", dest="username", 82 | help="Username of plugin site", metavar="user") 83 | parser.add_option( 84 | "-p", "--port", dest="port", 85 | help="Server port to connect to", metavar="80") 86 | parser.add_option( 87 | "-s", "--server", dest="server", 88 | help="Specify server name", metavar="plugins.qgis.org") 89 | options, args = parser.parse_args() 90 | if len(args) != 1: 91 | print("Please specify zip file.\n") 92 | parser.print_help() 93 | sys.exit(1) 94 | if not options.server: 95 | options.server = SERVER 96 | if not options.port: 97 | options.port = PORT 98 | if not options.username: 99 | # interactive mode 100 | username = getpass.getuser() 101 | print("Please enter user name [%s] :" % username, end=' ') 102 | 103 | res = input() 104 | if res != "": 105 | options.username = res 106 | else: 107 | options.username = username 108 | if not options.password: 109 | # interactive mode 110 | options.password = getpass.getpass() 111 | main(options, args) 112 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/pylintrc: -------------------------------------------------------------------------------- 1 | [MASTER] 2 | 3 | # Specify a configuration file. 4 | #rcfile= 5 | 6 | # Python code to execute, usually for sys.path manipulation such as 7 | # pygtk.require(). 8 | #init-hook= 9 | 10 | # Profiled execution. 11 | profile=no 12 | 13 | # Add files or directories to the blacklist. They should be base names, not 14 | # paths. 15 | ignore=CVS 16 | 17 | # Pickle collected data for later comparisons. 18 | persistent=yes 19 | 20 | # List of plugins (as comma separated values of python modules names) to load, 21 | # usually to register additional checkers. 22 | load-plugins= 23 | 24 | 25 | [MESSAGES CONTROL] 26 | 27 | # Enable the message, report, category or checker with the given id(s). You can 28 | # either give multiple identifier separated by comma (,) or put this option 29 | # multiple time. See also the "--disable" option for examples. 30 | #enable= 31 | 32 | # Disable the message, report, category or checker with the given id(s). You 33 | # can either give multiple identifiers separated by comma (,) or put this 34 | # option multiple times (only on the command line, not in the configuration 35 | # file where it should appear only once).You can also use "--disable=all" to 36 | # disable everything first and then reenable specific checks. For example, if 37 | # you want to run only the similarities checker, you can use "--disable=all 38 | # --enable=similarities". If you want to run only the classes checker, but have 39 | # no Warning level messages displayed, use"--disable=all --enable=classes 40 | # --disable=W" 41 | # see http://stackoverflow.com/questions/21487025/pylint-locally-defined-disables-still-give-warnings-how-to-suppress-them 42 | disable=locally-disabled,C0103 43 | 44 | 45 | [REPORTS] 46 | 47 | # Set the output format. Available formats are text, parseable, colorized, msvs 48 | # (visual studio) and html. You can also give a reporter class, eg 49 | # mypackage.mymodule.MyReporterClass. 50 | output-format=text 51 | 52 | # Put messages in a separate file for each module / package specified on the 53 | # command line instead of printing them on stdout. Reports (if any) will be 54 | # written in a file name "pylint_global.[txt|html]". 55 | files-output=no 56 | 57 | # Tells whether to display a full report or only the messages 58 | reports=yes 59 | 60 | # Python expression which should return a note less than 10 (10 is the highest 61 | # note). You have access to the variables errors warning, statement which 62 | # respectively contain the number of errors / warnings messages and the total 63 | # number of statements analyzed. This is used by the global evaluation report 64 | # (RP0004). 65 | evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10) 66 | 67 | # Add a comment according to your evaluation note. This is used by the global 68 | # evaluation report (RP0004). 69 | comment=no 70 | 71 | # Template used to display messages. This is a python new-style format string 72 | # used to format the message information. See doc for all details 73 | #msg-template= 74 | 75 | 76 | [BASIC] 77 | 78 | # Required attributes for module, separated by a comma 79 | required-attributes= 80 | 81 | # List of builtins function names that should not be used, separated by a comma 82 | bad-functions=map,filter,apply,input 83 | 84 | # Regular expression which should only match correct module names 85 | module-rgx=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ 86 | 87 | # Regular expression which should only match correct module level names 88 | const-rgx=(([A-Z_][A-Z0-9_]*)|(__.*__))$ 89 | 90 | # Regular expression which should only match correct class names 91 | class-rgx=[A-Z_][a-zA-Z0-9]+$ 92 | 93 | # Regular expression which should only match correct function names 94 | function-rgx=[a-z_][a-z0-9_]{2,30}$ 95 | 96 | # Regular expression which should only match correct method names 97 | method-rgx=[a-z_][a-z0-9_]{2,30}$ 98 | 99 | # Regular expression which should only match correct instance attribute names 100 | attr-rgx=[a-z_][a-z0-9_]{2,30}$ 101 | 102 | # Regular expression which should only match correct argument names 103 | argument-rgx=[a-z_][a-z0-9_]{2,30}$ 104 | 105 | # Regular expression which should only match correct variable names 106 | variable-rgx=[a-z_][a-z0-9_]{2,30}$ 107 | 108 | # Regular expression which should only match correct attribute names in class 109 | # bodies 110 | class-attribute-rgx=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ 111 | 112 | # Regular expression which should only match correct list comprehension / 113 | # generator expression variable names 114 | inlinevar-rgx=[A-Za-z_][A-Za-z0-9_]*$ 115 | 116 | # Good variable names which should always be accepted, separated by a comma 117 | good-names=i,j,k,ex,Run,_ 118 | 119 | # Bad variable names which should always be refused, separated by a comma 120 | bad-names=foo,bar,baz,toto,tutu,tata 121 | 122 | # Regular expression which should only match function or class names that do 123 | # not require a docstring. 124 | no-docstring-rgx=__.*__ 125 | 126 | # Minimum line length for functions/classes that require docstrings, shorter 127 | # ones are exempt. 128 | docstring-min-length=-1 129 | 130 | 131 | [MISCELLANEOUS] 132 | 133 | # List of note tags to take in consideration, separated by a comma. 134 | notes=FIXME,XXX,TODO 135 | 136 | 137 | [TYPECHECK] 138 | 139 | # Tells whether missing members accessed in mixin class should be ignored. A 140 | # mixin class is detected if its name ends with "mixin" (case insensitive). 141 | ignore-mixin-members=yes 142 | 143 | # List of classes names for which member attributes should not be checked 144 | # (useful for classes with attributes dynamically set). 145 | ignored-classes=SQLObject 146 | 147 | # When zope mode is activated, add a predefined set of Zope acquired attributes 148 | # to generated-members. 149 | zope=no 150 | 151 | # List of members which are set dynamically and missed by pylint inference 152 | # system, and so shouldn't trigger E0201 when accessed. Python regular 153 | # expressions are accepted. 154 | generated-members=REQUEST,acl_users,aq_parent 155 | 156 | 157 | [VARIABLES] 158 | 159 | # Tells whether we should check for unused import in __init__ files. 160 | init-import=no 161 | 162 | # A regular expression matching the beginning of the name of dummy variables 163 | # (i.e. not used). 164 | dummy-variables-rgx=_$|dummy 165 | 166 | # List of additional names supposed to be defined in builtins. Remember that 167 | # you should avoid to define new builtins when possible. 168 | additional-builtins= 169 | 170 | 171 | [FORMAT] 172 | 173 | # Maximum number of characters on a single line. 174 | max-line-length=80 175 | 176 | # Regexp for a line that is allowed to be longer than the limit. 177 | ignore-long-lines=^\s*(# )??$ 178 | 179 | # Allow the body of an if to be on the same line as the test if there is no 180 | # else. 181 | single-line-if-stmt=no 182 | 183 | # List of optional constructs for which whitespace checking is disabled 184 | no-space-check=trailing-comma,dict-separator 185 | 186 | # Maximum number of lines in a module 187 | max-module-lines=1000 188 | 189 | # String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 190 | # tab). 191 | indent-string=' ' 192 | 193 | 194 | [SIMILARITIES] 195 | 196 | # Minimum lines number of a similarity. 197 | min-similarity-lines=4 198 | 199 | # Ignore comments when computing similarities. 200 | ignore-comments=yes 201 | 202 | # Ignore docstrings when computing similarities. 203 | ignore-docstrings=yes 204 | 205 | # Ignore imports when computing similarities. 206 | ignore-imports=no 207 | 208 | 209 | [IMPORTS] 210 | 211 | # Deprecated modules which should not be used, separated by a comma 212 | deprecated-modules=regsub,TERMIOS,Bastion,rexec 213 | 214 | # Create a graph of every (i.e. internal and external) dependencies in the 215 | # given file (report RP0402 must not be disabled) 216 | import-graph= 217 | 218 | # Create a graph of external dependencies in the given file (report RP0402 must 219 | # not be disabled) 220 | ext-import-graph= 221 | 222 | # Create a graph of internal dependencies in the given file (report RP0402 must 223 | # not be disabled) 224 | int-import-graph= 225 | 226 | 227 | [DESIGN] 228 | 229 | # Maximum number of arguments for function / method 230 | max-args=5 231 | 232 | # Argument names that match this expression will be ignored. Default to name 233 | # with leading underscore 234 | ignored-argument-names=_.* 235 | 236 | # Maximum number of locals for function / method body 237 | max-locals=15 238 | 239 | # Maximum number of return / yield for function / method body 240 | max-returns=6 241 | 242 | # Maximum number of branch for function / method body 243 | max-branches=12 244 | 245 | # Maximum number of statements in function / method body 246 | max-statements=50 247 | 248 | # Maximum number of parents for a class (see R0901). 249 | max-parents=7 250 | 251 | # Maximum number of attributes for a class (see R0902). 252 | max-attributes=7 253 | 254 | # Minimum number of public methods for a class (see R0903). 255 | min-public-methods=2 256 | 257 | # Maximum number of public methods for a class (see R0904). 258 | max-public-methods=20 259 | 260 | 261 | [CLASSES] 262 | 263 | # List of interface methods to ignore, separated by a comma. This is used for 264 | # instance to not check methods defines in Zope's Interface base class. 265 | ignore-iface-methods=isImplementedBy,deferred,extends,names,namesAndDescriptions,queryDescriptionFor,getBases,getDescriptionFor,getDoc,getName,getTaggedValue,getTaggedValueTags,isEqualOrExtendedBy,setTaggedValue,isImplementedByInstancesOf,adaptWith,is_implemented_by 266 | 267 | # List of method names used to declare (i.e. assign) instance attributes. 268 | defining-attr-methods=__init__,__new__,setUp 269 | 270 | # List of valid names for the first argument in a class method. 271 | valid-classmethod-first-arg=cls 272 | 273 | # List of valid names for the first argument in a metaclass class method. 274 | valid-metaclass-classmethod-first-arg=mcs 275 | 276 | 277 | [EXCEPTIONS] 278 | 279 | # Exceptions that will emit a warning when being caught. Defaults to 280 | # "Exception" 281 | overgeneral-exceptions=Exception 282 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/resources.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | # Resource object code 4 | # 5 | # Created by: The Resource Compiler for PyQt5 (Qt v5.15.2) 6 | # 7 | # WARNING! 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\x00\x00\x00\x14\x00\x02\x00\x00\x00\x01\x00\x00\x00\x03\ 122 | \x00\x00\x00\x34\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ 123 | " 124 | 125 | qt_resource_struct_v2 = b"\ 126 | \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ 127 | \x00\x00\x00\x00\x00\x00\x00\x00\ 128 | \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ 129 | \x00\x00\x00\x00\x00\x00\x00\x00\ 130 | \x00\x00\x00\x14\x00\x02\x00\x00\x00\x01\x00\x00\x00\x03\ 131 | \x00\x00\x00\x00\x00\x00\x00\x00\ 132 | \x00\x00\x00\x34\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ 133 | \x00\x00\x01\x7d\xb7\x56\x1f\x57\ 134 | " 135 | 136 | qt_version = [int(v) for v in QtCore.qVersion().split('.')] 137 | if qt_version < [5, 8, 0]: 138 | rcc_version = 1 139 | qt_resource_struct = qt_resource_struct_v1 140 | else: 141 | rcc_version = 2 142 | qt_resource_struct = qt_resource_struct_v2 143 | 144 | def qInitResources(): 145 | QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) 146 | 147 | def qCleanupResources(): 148 | QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) 149 | 150 | qInitResources() 151 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/resources.qrc: -------------------------------------------------------------------------------- 1 | 2 | 3 | icon.png 4 | 5 | 6 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/scripts/compile-strings.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | LRELEASE=$1 3 | LOCALES=$2 4 | 5 | 6 | for LOCALE in ${LOCALES} 7 | do 8 | echo "Processing: ${LOCALE}.ts" 9 | # Note we don't use pylupdate with qt .pro file approach as it is flakey 10 | # about what is made available. 11 | $LRELEASE i18n/${LOCALE}.ts 12 | done 13 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/scripts/run-env-linux.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | QGIS_PREFIX_PATH=/usr/local/qgis-2.0 4 | if [ -n "$1" ]; then 5 | QGIS_PREFIX_PATH=$1 6 | fi 7 | 8 | echo ${QGIS_PREFIX_PATH} 9 | 10 | 11 | export QGIS_PREFIX_PATH=${QGIS_PREFIX_PATH} 12 | export QGIS_PATH=${QGIS_PREFIX_PATH} 13 | export LD_LIBRARY_PATH=${QGIS_PREFIX_PATH}/lib 14 | export PYTHONPATH=${QGIS_PREFIX_PATH}/share/qgis/python:${QGIS_PREFIX_PATH}/share/qgis/python/plugins:${PYTHONPATH} 15 | 16 | echo "QGIS PATH: $QGIS_PREFIX_PATH" 17 | export QGIS_DEBUG=0 18 | export QGIS_LOG_FILE=/tmp/inasafe/realtime/logs/qgis.log 19 | 20 | export PATH=${QGIS_PREFIX_PATH}/bin:$PATH 21 | 22 | echo "This script is intended to be sourced to set up your shell to" 23 | echo "use a QGIS 2.0 built in $QGIS_PREFIX_PATH" 24 | echo 25 | echo "To use it do:" 26 | echo "source $BASH_SOURCE /your/optional/install/path" 27 | echo 28 | echo "Then use the make file supplied here e.g. make guitest" 29 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/scripts/update-strings.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | LOCALES=$* 3 | 4 | # Get newest .py files so we don't update strings unnecessarily 5 | 6 | CHANGED_FILES=0 7 | PYTHON_FILES=`find . -regex ".*\(ui\|py\)$" -type f` 8 | for PYTHON_FILE in $PYTHON_FILES 9 | do 10 | CHANGED=$(stat -c %Y $PYTHON_FILE) 11 | if [ ${CHANGED} -gt ${CHANGED_FILES} ] 12 | then 13 | CHANGED_FILES=${CHANGED} 14 | fi 15 | done 16 | 17 | # Qt translation stuff 18 | # for .ts file 19 | UPDATE=false 20 | for LOCALE in ${LOCALES} 21 | do 22 | TRANSLATION_FILE="i18n/$LOCALE.ts" 23 | if [ ! -f ${TRANSLATION_FILE} ] 24 | then 25 | # Force translation string collection as we have a new language file 26 | touch ${TRANSLATION_FILE} 27 | UPDATE=true 28 | break 29 | fi 30 | 31 | MODIFICATION_TIME=$(stat -c %Y ${TRANSLATION_FILE}) 32 | if [ ${CHANGED_FILES} -gt ${MODIFICATION_TIME} ] 33 | then 34 | # Force translation string collection as a .py file has been updated 35 | UPDATE=true 36 | break 37 | fi 38 | done 39 | 40 | if [ ${UPDATE} == true ] 41 | # retrieve all python files 42 | then 43 | echo ${PYTHON_FILES} 44 | # update .ts 45 | echo "Please provide translations by editing the translation files below:" 46 | for LOCALE in ${LOCALES} 47 | do 48 | echo "i18n/"${LOCALE}".ts" 49 | # Note we don't use pylupdate with qt .pro file approach as it is flakey 50 | # about what is made available. 51 | pylupdate4 -noobsolete ${PYTHON_FILES} -ts i18n/${LOCALE}.ts 52 | done 53 | else 54 | echo "No need to edit any translation files (.ts) because no python files" 55 | echo "has been updated since the last update translation. " 56 | fi 57 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/split_rs_data.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | /*************************************************************************** 4 | SplitRSData 5 | A QGIS plugin 6 | tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets 7 | Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/ 8 | ------------------- 9 | begin : 2021-12-08 10 | git sha : $Format:%H$ 11 | copyright : (C) 2021 by Youssef Harby 12 | email : youssef_harby@yahoo.com 13 | ***************************************************************************/ 14 | 15 | /*************************************************************************** 16 | * * 17 | * This program is free software; you can redistribute it and/or modify * 18 | * it under the terms of the GNU General Public License as published by * 19 | * the Free Software Foundation; either version 2 of the License, or * 20 | * (at your option) any later version. * 21 | * * 22 | ***************************************************************************/ 23 | """ 24 | from qgis.PyQt.QtCore import QSettings, QTranslator, QCoreApplication 25 | from qgis.PyQt.QtGui import QIcon 26 | from qgis.PyQt.QtWidgets import QAction, QFileDialog, QTabWidget 27 | from qgis.core import ( 28 | QgsMapLayerProxyModel, 29 | QgsProject, 30 | QgsProcessingFeedback, 31 | QgsMessageLog, 32 | Qgis, 33 | ) 34 | from qgis.utils import iface 35 | 36 | # import processing, tempfile 37 | 38 | # Initialize Qt resources from file resources.py 39 | from .resources import * 40 | 41 | # Import the code for the dialog 42 | from .split_rs_data_dialog import SplitRSDataDialog 43 | import os 44 | import os.path as osp 45 | from .utils import * 46 | from .utils.COCO import clip_from_file, slice, from_mask_to_coco 47 | 48 | # import argparse 49 | 50 | 51 | class SplitRSData: 52 | """QGIS Plugin Implementation.""" 53 | 54 | def __init__(self, iface): 55 | """Constructor. 56 | 57 | :param iface: An interface instance that will be passed to this class 58 | which provides the hook by which you can manipulate the QGIS 59 | application at run time. 60 | :type iface: QgsInterface 61 | """ 62 | # Save reference to the QGIS interface 63 | self.iface = iface 64 | # initialize plugin directory 65 | self.plugin_dir = os.path.dirname(__file__) 66 | # initialize locale 67 | locale = QSettings().value("locale/userLocale")[0:2] 68 | locale_path = os.path.join( 69 | self.plugin_dir, "i18n", "SplitRSData_{}.qm".format(locale) 70 | ) 71 | # print("############################3" + self.plugin_dir) 72 | 73 | if os.path.exists(locale_path): 74 | self.translator = QTranslator() 75 | self.translator.load(locale_path) 76 | QCoreApplication.installTranslator(self.translator) 77 | 78 | # Declare instance attributes 79 | self.actions = [] 80 | self.menu = self.tr(u"&deepbands") 81 | 82 | # Check if plugin was started the first time in current QGIS session 83 | # Must be set in initGui() to survive plugin reloads 84 | self.first_start = None 85 | 86 | # noinspection PyMethodMayBeStatic 87 | def tr(self, message): 88 | """Get the translation for a string using Qt translation API. 89 | 90 | We implement this ourselves since we do not inherit QObject. 91 | 92 | :param message: String for translation. 93 | :type message: str, QString 94 | 95 | :returns: Translated version of message. 96 | :rtype: QString 97 | """ 98 | # noinspection PyTypeChecker,PyArgumentList,PyCallByClass 99 | return QCoreApplication.translate("SplitRSData", message) 100 | 101 | def add_action( 102 | self, 103 | icon_path, 104 | text, 105 | callback, 106 | enabled_flag=True, 107 | add_to_menu=True, 108 | add_to_toolbar=True, 109 | status_tip=None, 110 | whats_this=None, 111 | parent=None, 112 | ): 113 | """Add a toolbar icon to the toolbar. 114 | 115 | :param icon_path: Path to the icon for this action. Can be a resource 116 | path (e.g. ':/plugins/foo/bar.png') or a normal file system path. 117 | :type icon_path: str 118 | 119 | :param text: Text that should be shown in menu items for this action. 120 | :type text: str 121 | 122 | :param callback: Function to be called when the action is triggered. 123 | :type callback: function 124 | 125 | :param enabled_flag: A flag indicating if the action should be enabled 126 | by default. Defaults to True. 127 | :type enabled_flag: bool 128 | 129 | :param add_to_menu: Flag indicating whether the action should also 130 | be added to the menu. Defaults to True. 131 | :type add_to_menu: bool 132 | 133 | :param add_to_toolbar: Flag indicating whether the action should also 134 | be added to the toolbar. Defaults to True. 135 | :type add_to_toolbar: bool 136 | 137 | :param status_tip: Optional text to show in a popup when mouse pointer 138 | hovers over the action. 139 | :type status_tip: str 140 | 141 | :param parent: Parent widget for the new action. Defaults None. 142 | :type parent: QWidget 143 | 144 | :param whats_this: Optional text to show in the status bar when the 145 | mouse pointer hovers over the action. 146 | 147 | :returns: The action that was created. Note that the action is also 148 | added to self.actions list. 149 | :rtype: QAction 150 | """ 151 | 152 | icon = QIcon(icon_path) 153 | action = QAction(icon, text, parent) 154 | action.triggered.connect(callback) 155 | action.setEnabled(enabled_flag) 156 | 157 | if status_tip is not None: 158 | action.setStatusTip(status_tip) 159 | 160 | if whats_this is not None: 161 | action.setWhatsThis(whats_this) 162 | 163 | if add_to_toolbar: 164 | # Adds plugin icon to Plugins toolbar 165 | self.iface.addToolBarIcon(action) 166 | 167 | if add_to_menu: 168 | self.iface.addPluginToMenu(self.menu, action) 169 | 170 | self.actions.append(action) 171 | 172 | return action 173 | 174 | def initGui(self): 175 | """Create the menu entries and toolbar icons inside the QGIS GUI.""" 176 | 177 | icon_path = ":/plugins/split_rs_data/icon.png" 178 | self.add_action( 179 | icon_path, 180 | text=self.tr(u"Deep Learning Datasets Maker"), 181 | callback=self.run, 182 | parent=self.iface.mainWindow(), 183 | ) 184 | 185 | # will be set False in run() 186 | self.first_start = True 187 | 188 | def unload(self): 189 | """Removes the plugin menu item and icon from QGIS GUI.""" 190 | for action in self.actions: 191 | self.iface.removePluginMenu( 192 | self.tr(u"&Deep Learning Datasets Maker"), action 193 | ) 194 | self.iface.removeToolBarIcon(action) 195 | 196 | def state_changed(self, state): 197 | """Set the visibility of mQfwLabels_InSeg 198 | 199 | Args: 200 | state (int): Output the current status of three check boxes: 201 | 0 selected 202 | 1 half selected 203 | 2 unchecked 204 | """ 205 | # if state == 2: 206 | # self.dlg.mQfwLabels_InSeg.setEnabled(True) # We also can use .setHidden(False) 207 | # self.dlg.label_7.setEnabled(True) 208 | # else : 209 | # self.dlg.mQfwLabels_InSeg.setEnabled(False) 210 | # self.dlg.label_7.setEnabled(False) 211 | 212 | def state_changed_paddle(self, state): 213 | if state == 2: 214 | self.dlg.mOpacityWidget_Training.setEnabled(True) 215 | self.dlg.mOpacityWidget_Validating.setEnabled(True) 216 | self.dlg.label_8.setEnabled(True) 217 | self.dlg.label_9.setEnabled(True) 218 | self.dlg.label_10.setEnabled(True) 219 | else: 220 | self.dlg.mOpacityWidget_Training.setEnabled(False) 221 | self.dlg.mOpacityWidget_Validating.setEnabled(False) 222 | self.dlg.label_8.setEnabled(False) 223 | self.dlg.label_9.setEnabled(False) 224 | self.dlg.label_10.setEnabled(False) 225 | 226 | def state_changed_training(self, state): 227 | Training_Set = self.dlg.mOpacityWidget_Training.opacity() 228 | Val_Set = self.dlg.mOpacityWidget_Validating.opacity() 229 | Testing_Set = self.dlg.mOpacityWidget_Testing.opacity() 230 | if Testing_Set == 0: 231 | self.dlg.mOpacityWidget_Validating.setOpacity(1.0 - Training_Set) 232 | self.dlg.mOpacityWidget_Testing.setOpacity( 233 | 1.0 - (Training_Set + Val_Set)) 234 | 235 | def run(self): 236 | """Run method that performs all the real work""" 237 | 238 | # Create the dialog with elements (after translation) and keep reference 239 | # Only create GUI ONCE in callback, so that it will only load when the plugin is started 240 | if self.first_start == True: 241 | self.first_start = False 242 | self.dlg = SplitRSDataDialog() 243 | 244 | # Fetch the currently loaded layers 245 | self.dlg.mQfwDataset.setDialogTitle("Select Output Images Files") 246 | self.dlg.mMapLayerComboBoxR.setFilters( 247 | QgsMapLayerProxyModel.RasterLayer) 248 | self.dlg.mMapLayerComboBoxV.setFilters( 249 | QgsMapLayerProxyModel.PolygonLayer) 250 | self.dlg.comboBoxImgSize.clear() 251 | self.dlg.comboBoxImgSize.addItems(["64", "128", "256", "512", "1024"]) 252 | self.dlg.comboBoxImgSize.setCurrentIndex(3) 253 | self.dlg.checkBoxInSeg.setChecked(False) 254 | self.dlg.checkBoxPaddle.setChecked(True) 255 | self.dlg.checkBoxInSeg.stateChanged.connect(self.state_changed) 256 | self.dlg.checkBoxPaddle.stateChanged.connect(self.state_changed_paddle) 257 | self.dlg.mOpacityWidget_Training.opacityChanged.connect( 258 | self.state_changed_training 259 | ) 260 | self.dlg.mOpacityWidget_Validating.opacityChanged.connect( 261 | self.state_changed_training 262 | ) 263 | 264 | # show the dialog 265 | self.dlg.show() 266 | # Run the dialog event loop 267 | result = self.dlg.exec_() 268 | # See if OK was pressed 269 | if result: 270 | currentrasterlay = ( 271 | self.dlg.mMapLayerComboBoxR.currentText() 272 | ) # Get the selected raster layer 273 | rlayers = QgsProject.instance().mapLayersByName(currentrasterlay) 274 | fn_ras = rlayers[0] 275 | currentvectorlay = ( 276 | self.dlg.mMapLayerComboBoxV.currentText() 277 | ) # Get the selected raster layer 278 | vlayers = QgsProject.instance().mapLayersByName(currentvectorlay) 279 | fn_vec = vlayers[0] 280 | SplittingSize = int(self.dlg.comboBoxImgSize.currentText()) 281 | 282 | # Log for files 283 | ras_path = str(fn_ras.dataProvider().dataSourceUri()) 284 | vec_path = str(fn_vec.dataProvider().dataSourceUri()) 285 | dataset_path = str(self.dlg.mQfwDataset.filePath()) 286 | 287 | def mkdir_p(path): 288 | if not osp.exists(path): 289 | os.makedirs(path) 290 | 291 | # PaddlePaddle Dataset Paths 292 | dataset_paddle = osp.join(dataset_path, "PaddlePaddle") 293 | mkdir_p(dataset_paddle) 294 | 295 | Ras_Paddle_path = osp.join(dataset_paddle, "rasterized/") 296 | output = osp.join( 297 | Ras_Paddle_path, currentrasterlay + "_rasterized" + ".tif" 298 | ) # Output Rasterized File 299 | image_Paddle_path = osp.join(dataset_paddle, "image/") 300 | label_Paddle_path = osp.join(dataset_paddle, "label/") 301 | InSeg_Paddle_path = osp.join(dataset_paddle, "inseg/") 302 | mkdir_p(Ras_Paddle_path) 303 | mkdir_p(image_Paddle_path) 304 | mkdir_p(label_Paddle_path) 305 | mkdir_p(InSeg_Paddle_path) 306 | 307 | feedback = QgsProcessingFeedback() 308 | feedback.pushInfo("Raster Path : " + ras_path) 309 | feedback.pushInfo("Vector Path : " + vec_path) 310 | feedback.pushInfo("Output Rasterized Path : " + output) 311 | feedback.pushInfo("Imge Splitting Size : " + str(SplittingSize)) 312 | 313 | # TODO: if shp in memory, it can't work 314 | 315 | rasterize(ras_path, vec_path, output) 316 | iface.messageBar().pushMessage( 317 | "You will find the rasterized file in " + output, 318 | level=Qgis.Info, 319 | duration=5, 320 | ) 321 | iface.addRasterLayer(output, "deepbands-datasets") 322 | 323 | fn_ras_path = fn_ras.dataProvider().dataSourceUri() 324 | splitting( 325 | fn_ras_path, 326 | image_Paddle_path, 327 | "jpg", 328 | "JPEG", 329 | "", 330 | SplittingSize, 331 | SplittingSize, 332 | currentrasterlay, 333 | ) 334 | splitting( 335 | output, 336 | label_Paddle_path, 337 | "png", 338 | "PNG", 339 | "", 340 | SplittingSize, 341 | SplittingSize, 342 | currentrasterlay, 343 | ) # should be the same name of image. vector name if needed-> currentvectorlay 344 | 345 | # ** Ins Seg with OPENCV ** 346 | 347 | # save_path_InSeg = str(self.dlg.mQfwLabels_InSeg.filePath()) 348 | # names = os.listdir(label_Paddle_path) 349 | # names = [f for f in os.listdir( 350 | # label_Paddle_path) if f.endswith(".png")] 351 | # if self.dlg.checkBoxInSeg.isChecked(): 352 | # for name in names: 353 | # label = osp.join(label_Paddle_path, name) 354 | # saver = osp.join(InSeg_Paddle_path, name) 355 | # segMaskB2I(label, saver) 356 | # else: 357 | # feedback.pushInfo( 358 | # "Option instance segmentation is not selected") 359 | 360 | # ** Ins Seg with GDAL ** 361 | 362 | color_text_path = osp.join( 363 | self.plugin_dir + "/utils/color.txt") 364 | print(color_text_path) 365 | outputRasIN = osp.join( 366 | Ras_Paddle_path, currentrasterlay + "_1_255_rasterized" + ".tif") 367 | InsSegGDALout = osp.join( 368 | Ras_Paddle_path, currentrasterlay + "_Ins_Seg_rasterized" + ".tif") 369 | 370 | if self.dlg.checkBoxInSeg.isChecked(): 371 | # for name in names: 372 | # label = osp.join(label_Paddle_path, name) 373 | # saver = osp.join(InSeg_Paddle_path, name) 374 | # segMaskB2I(label, saver) 375 | rasterizeInsSeg(ras_path, vec_path, outputRasIN, 376 | InsSegGDALout, color_text_path) 377 | splitting( 378 | InsSegGDALout, 379 | InSeg_Paddle_path, 380 | "png", 381 | "PNG", 382 | "", 383 | SplittingSize, 384 | SplittingSize, 385 | currentrasterlay, 386 | ) 387 | iface.addRasterLayer( 388 | InsSegGDALout, "deepbands-datasets-InsSeg") 389 | else: 390 | feedback.pushInfo( 391 | "Option instance segmentation is not selected") 392 | 393 | if self.dlg.checkBoxPaddle.isChecked(): 394 | # dataset_path = os.path.dirname(image_Paddle_path) 395 | Training_Set = self.dlg.mOpacityWidget_Training.opacity() 396 | Val_Set = self.dlg.mOpacityWidget_Validating.opacity() 397 | Testing_Set = self.dlg.mOpacityWidget_Testing.opacity() 398 | 399 | feedback.pushInfo(str(Training_Set+Val_Set+Testing_Set)) 400 | feedback.pushInfo(str(Training_Set)) 401 | feedback.pushInfo(str(Val_Set)) 402 | feedback.pushInfo(str(Testing_Set)) 403 | 404 | args = { 405 | "dataset_root": dataset_paddle, 406 | "images_dir_name": image_Paddle_path, 407 | "labels_dir_name": label_Paddle_path, 408 | "split": [Training_Set, Val_Set, Testing_Set], 409 | "label_class": ["__background__", "__foreground__"], 410 | "separator": " ", 411 | "format": ["jpg", "png"], 412 | "postfix": ["", ""], 413 | } 414 | generate_list(args) 415 | 416 | if self.dlg.checkBoxCOCO.isChecked(): 417 | # COCO Dataset Paths 418 | dataset_COCO = osp.join(dataset_path, "COCO") 419 | mkdir_p(dataset_COCO) 420 | Ras_COCO_path = osp.join(dataset_COCO, "image/") 421 | annotations_COCO_path = osp.join(dataset_COCO, "annotations/") 422 | mkdir_p(Ras_COCO_path) 423 | mkdir_p(annotations_COCO_path) 424 | 425 | # TODO: the cut image is not repeated, 426 | # and the cut image is used to directly generate coco format 427 | clip_from_file(SplittingSize, dataset_COCO, ras_path, vec_path) 428 | slice(dataset_COCO, train=Training_Set, 429 | eval=Val_Set, test=Testing_Set) 430 | from_mask_to_coco(dataset_COCO, 'train', 431 | "image", "annotations") 432 | from_mask_to_coco(dataset_COCO, 'eval', "image", "annotations") 433 | from_mask_to_coco(dataset_COCO, 'test', "image", "annotations") 434 | 435 | iface.messageBar().pushMessage( 436 | "You will find the dataset in " + dataset_path, 437 | level=Qgis.Success, 438 | duration=5, 439 | ) 440 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/split_rs_data_dialog.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | /*************************************************************************** 4 | SplitRSDataDialog 5 | A QGIS plugin 6 | tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets 7 | Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/ 8 | ------------------- 9 | begin : 2021-12-08 10 | git sha : $Format:%H$ 11 | copyright : (C) 2021 by Youssef Harby 12 | email : youssef_harby@yahoo.com 13 | ***************************************************************************/ 14 | 15 | /*************************************************************************** 16 | * * 17 | * This program is free software; you can redistribute it and/or modify * 18 | * it under the terms of the GNU General Public License as published by * 19 | * the Free Software Foundation; either version 2 of the License, or * 20 | * (at your option) any later version. * 21 | * * 22 | ***************************************************************************/ 23 | """ 24 | 25 | import os 26 | 27 | from qgis.PyQt import uic 28 | from qgis.PyQt import QtWidgets 29 | 30 | # This loads your .ui file so that PyQt can populate your plugin with the elements from Qt Designer 31 | FORM_CLASS, _ = uic.loadUiType(os.path.join( 32 | os.path.dirname(__file__), 'split_rs_data_dialog_base.ui')) 33 | 34 | 35 | class SplitRSDataDialog(QtWidgets.QDialog, FORM_CLASS): 36 | def __init__(self, parent=None): 37 | """Constructor.""" 38 | super(SplitRSDataDialog, self).__init__(parent) 39 | # Set up the user interface from Designer through FORM_CLASS. 40 | # After self.setupUi() you can access any designer object by doing 41 | # self., and you can use autoconnect slots - see 42 | # http://qt-project.org/doc/qt-4.8/designer-using-a-ui-file.html 43 | # #widgets-and-dialogs-with-auto-connect 44 | self.setupUi(self) 45 | # self.tabWidget.currentChanged.connect(self.tabChanged) 46 | # tabInd = self.tabWidget.currentIndex() 47 | 48 | # def tabChanged(self): 49 | # tabIndex = self.tabWidget.currentIndex() 50 | # print ('tab was changed to', self.tabWidget.currentIndex()) -------------------------------------------------------------------------------- /deep-learning-datasets-maker/split_rs_data_dialog_base.ui: -------------------------------------------------------------------------------- 1 | 2 | 3 | SplitRSDataDialogBase 4 | 5 | 6 | 7 | 0 8 | 0 9 | 440 10 | 410 11 | 12 | 13 | 14 | 15 | 0 16 | 0 17 | 18 | 19 | 20 | 21 | 440 22 | 410 23 | 24 | 25 | 26 | 27 | 440 28 | 410 29 | 30 | 31 | 32 | Deep Learning Datasets Maker 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 176 42 | 0 43 | 44 | 45 | 46 | 47 | 176 48 | 16777215 49 | 50 | 51 | 52 | Input Raster Layer 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 0 61 | 0 62 | 63 | 64 | 65 | 66 | 230 67 | 27 68 | 69 | 70 | 71 | 72 | 230 73 | 16777215 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 176 87 | 0 88 | 89 | 90 | 91 | 92 | 176 93 | 16777215 94 | 95 | 96 | 97 | Input Vector Layer 98 | 99 | 100 | 101 | 102 | 103 | 104 | 105 | 0 106 | 0 107 | 108 | 109 | 110 | 111 | 230 112 | 27 113 | 114 | 115 | 116 | 117 | 230 118 | 16777215 119 | 120 | 121 | 122 | 123 | 124 | 125 | 126 | 127 | 128 | 129 | 130 | 131 | 176 132 | 16 133 | 134 | 135 | 136 | 137 | 176 138 | 16 139 | 140 | 141 | 142 | Splitting Image Size 143 | 144 | 145 | 146 | 147 | 148 | 149 | 150 | 0 151 | 0 152 | 153 | 154 | 155 | 156 | 100 157 | 22 158 | 159 | 160 | 161 | 162 | 100 163 | 22 164 | 165 | 166 | 167 | 168 | 169 | 170 | 171 | Qt::Horizontal 172 | 173 | 174 | QSizePolicy::Expanding 175 | 176 | 177 | 178 | 18 179 | 20 180 | 181 | 182 | 183 | 184 | 185 | 186 | 187 | 188 | 189 | 190 | 191 | 192 | 176 193 | 0 194 | 195 | 196 | 197 | 198 | 176 199 | 16777215 200 | 201 | 202 | 203 | Output Dataset Location 204 | 205 | 206 | 207 | 208 | 209 | 210 | QgsFileWidget::GetDirectory 211 | 212 | 213 | 214 | 215 | 216 | 217 | 218 | 219 | Instance Segmentation 220 | 221 | 222 | 223 | 224 | 225 | 226 | true 227 | 228 | 229 | Export COCO 230 | 231 | 232 | 233 | 234 | 235 | 236 | false 237 | 238 | 239 | Spilit Custom Dataset and Generate File List 240 | 241 | 242 | 243 | 244 | 245 | 246 | 247 | 248 | true 249 | 250 | 251 | 252 | 176 253 | 0 254 | 255 | 256 | 257 | 258 | 176 259 | 16777215 260 | 261 | 262 | 263 | Training 264 | 265 | 266 | 267 | 268 | 269 | 270 | true 271 | 272 | 273 | 0.600000000000000 274 | 275 | 276 | 277 | 278 | 279 | 280 | 281 | 282 | 283 | 284 | 285 | 176 286 | 0 287 | 288 | 289 | 290 | 291 | 176 292 | 16777215 293 | 294 | 295 | 296 | Validating 297 | 298 | 299 | 300 | 301 | 302 | 303 | 0.200000000000000 304 | 305 | 306 | 307 | 308 | 309 | 310 | 311 | 312 | 313 | 314 | 315 | 176 316 | 0 317 | 318 | 319 | 320 | 321 | 176 322 | 16777215 323 | 324 | 325 | 326 | Testing 327 | 328 | 329 | 330 | 331 | 332 | 333 | false 334 | 335 | 336 | 0.200000000000000 337 | 338 | 339 | 340 | 341 | 342 | 343 | 344 | 345 | 346 | 347 | 348 | 200 349 | 0 350 | 351 | 352 | 353 | <html><head/><body><p>Visit <a href="https://github.com/deepbands/deep-learning-datasets-maker"><span style=" text-decoration: underline; color:#0057ae;">deepbands GitHub</span></a></p></body></html> 354 | 355 | 356 | Qt::AutoText 357 | 358 | 359 | true 360 | 361 | 362 | true 363 | 364 | 365 | 366 | 367 | 368 | 369 | Qt::Horizontal 370 | 371 | 372 | QDialogButtonBox::Cancel|QDialogButtonBox::Ok 373 | 374 | 375 | 376 | 377 | 378 | 379 | 380 | 381 | 382 | QgsFileWidget 383 | QWidget 384 |
qgsfilewidget.h
385 | 386 | 387 | QgsMapLayerComboBox 388 | QComboBox 389 |
qgsmaplayercombobox.h
390 | 391 | 392 | QgsOpacityWidget 393 | QWidget 394 |
qgsopacitywidget.h
395 | 396 | 397 | 398 | 399 | 400 | button_box 401 | accepted() 402 | SplitRSDataDialogBase 403 | accept() 404 | 405 | 406 | 20 407 | 20 408 | 409 | 410 | 20 411 | 20 412 | 413 | 414 | 415 | 416 | button_box 417 | rejected() 418 | SplitRSDataDialogBase 419 | reject() 420 | 421 | 422 | 20 423 | 20 424 | 425 | 426 | 20 427 | 20 428 | 429 | 430 | 431 | 432 | 433 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/__init__.py: -------------------------------------------------------------------------------- 1 | # import qgis libs so that ve set the correct sip api version 2 | import qgis # pylint: disable=W0611 # NOQA -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/qgis_interface.py: -------------------------------------------------------------------------------- 1 | # coding=utf-8 2 | """QGIS plugin implementation. 3 | 4 | .. note:: This program is free software; you can redistribute it and/or modify 5 | it under the terms of the GNU General Public License as published by 6 | the Free Software Foundation; either version 2 of the License, or 7 | (at your option) any later version. 8 | 9 | .. note:: This source code was copied from the 'postgis viewer' application 10 | with original authors: 11 | Copyright (c) 2010 by Ivan Mincik, ivan.mincik@gista.sk 12 | Copyright (c) 2011 German Carrillo, geotux_tuxman@linuxmail.org 13 | Copyright (c) 2014 Tim Sutton, tim@linfiniti.com 14 | 15 | """ 16 | 17 | __author__ = 'tim@linfiniti.com' 18 | __revision__ = '$Format:%H$' 19 | __date__ = '10/01/2011' 20 | __copyright__ = ( 21 | 'Copyright (c) 2010 by Ivan Mincik, ivan.mincik@gista.sk and ' 22 | 'Copyright (c) 2011 German Carrillo, geotux_tuxman@linuxmail.org' 23 | 'Copyright (c) 2014 Tim Sutton, tim@linfiniti.com' 24 | ) 25 | 26 | import logging 27 | from qgis.PyQt.QtCore import QObject, pyqtSlot, pyqtSignal 28 | from qgis.core import QgsMapLayerRegistry 29 | from qgis.gui import QgsMapCanvasLayer 30 | LOGGER = logging.getLogger('QGIS') 31 | 32 | 33 | #noinspection PyMethodMayBeStatic,PyPep8Naming 34 | class QgisInterface(QObject): 35 | """Class to expose QGIS objects and functions to plugins. 36 | 37 | This class is here for enabling us to run unit tests only, 38 | so most methods are simply stubs. 39 | """ 40 | currentLayerChanged = pyqtSignal(QgsMapCanvasLayer) 41 | 42 | def __init__(self, canvas): 43 | """Constructor 44 | :param canvas: 45 | """ 46 | QObject.__init__(self) 47 | self.canvas = canvas 48 | # Set up slots so we can mimic the behaviour of QGIS when layers 49 | # are added. 50 | LOGGER.debug('Initialising canvas...') 51 | # noinspection PyArgumentList 52 | QgsMapLayerRegistry.instance().layersAdded.connect(self.addLayers) 53 | # noinspection PyArgumentList 54 | QgsMapLayerRegistry.instance().layerWasAdded.connect(self.addLayer) 55 | # noinspection PyArgumentList 56 | QgsMapLayerRegistry.instance().removeAll.connect(self.removeAllLayers) 57 | 58 | # For processing module 59 | self.destCrs = None 60 | 61 | @pyqtSlot('QStringList') 62 | def addLayers(self, layers): 63 | """Handle layers being added to the registry so they show up in canvas. 64 | 65 | :param layers: list list of map layers that were added 66 | 67 | .. note:: The QgsInterface api does not include this method, 68 | it is added here as a helper to facilitate testing. 69 | """ 70 | #LOGGER.debug('addLayers called on qgis_interface') 71 | #LOGGER.debug('Number of layers being added: %s' % len(layers)) 72 | #LOGGER.debug('Layer Count Before: %s' % len(self.canvas.layers())) 73 | current_layers = self.canvas.layers() 74 | final_layers = [] 75 | for layer in current_layers: 76 | final_layers.append(QgsMapCanvasLayer(layer)) 77 | for layer in layers: 78 | final_layers.append(QgsMapCanvasLayer(layer)) 79 | 80 | self.canvas.setLayerSet(final_layers) 81 | #LOGGER.debug('Layer Count After: %s' % len(self.canvas.layers())) 82 | 83 | @pyqtSlot('QgsMapLayer') 84 | def addLayer(self, layer): 85 | """Handle a layer being added to the registry so it shows up in canvas. 86 | 87 | :param layer: list list of map layers that were added 88 | 89 | .. note: The QgsInterface api does not include this method, it is added 90 | here as a helper to facilitate testing. 91 | 92 | .. note: The addLayer method was deprecated in QGIS 1.8 so you should 93 | not need this method much. 94 | """ 95 | pass 96 | 97 | @pyqtSlot() 98 | def removeAllLayers(self): 99 | """Remove layers from the canvas before they get deleted.""" 100 | self.canvas.setLayerSet([]) 101 | 102 | def newProject(self): 103 | """Create new project.""" 104 | # noinspection PyArgumentList 105 | QgsMapLayerRegistry.instance().removeAllMapLayers() 106 | 107 | # ---------------- API Mock for QgsInterface follows ------------------- 108 | 109 | def zoomFull(self): 110 | """Zoom to the map full extent.""" 111 | pass 112 | 113 | def zoomToPrevious(self): 114 | """Zoom to previous view extent.""" 115 | pass 116 | 117 | def zoomToNext(self): 118 | """Zoom to next view extent.""" 119 | pass 120 | 121 | def zoomToActiveLayer(self): 122 | """Zoom to extent of active layer.""" 123 | pass 124 | 125 | def addVectorLayer(self, path, base_name, provider_key): 126 | """Add a vector layer. 127 | 128 | :param path: Path to layer. 129 | :type path: str 130 | 131 | :param base_name: Base name for layer. 132 | :type base_name: str 133 | 134 | :param provider_key: Provider key e.g. 'ogr' 135 | :type provider_key: str 136 | """ 137 | pass 138 | 139 | def addRasterLayer(self, path, base_name): 140 | """Add a raster layer given a raster layer file name 141 | 142 | :param path: Path to layer. 143 | :type path: str 144 | 145 | :param base_name: Base name for layer. 146 | :type base_name: str 147 | """ 148 | pass 149 | 150 | def activeLayer(self): 151 | """Get pointer to the active layer (layer selected in the legend).""" 152 | # noinspection PyArgumentList 153 | layers = QgsMapLayerRegistry.instance().mapLayers() 154 | for item in layers: 155 | return layers[item] 156 | 157 | def addToolBarIcon(self, action): 158 | """Add an icon to the plugins toolbar. 159 | 160 | :param action: Action to add to the toolbar. 161 | :type action: QAction 162 | """ 163 | pass 164 | 165 | def removeToolBarIcon(self, action): 166 | """Remove an action (icon) from the plugin toolbar. 167 | 168 | :param action: Action to add to the toolbar. 169 | :type action: QAction 170 | """ 171 | pass 172 | 173 | def addToolBar(self, name): 174 | """Add toolbar with specified name. 175 | 176 | :param name: Name for the toolbar. 177 | :type name: str 178 | """ 179 | pass 180 | 181 | def mapCanvas(self): 182 | """Return a pointer to the map canvas.""" 183 | return self.canvas 184 | 185 | def mainWindow(self): 186 | """Return a pointer to the main window. 187 | 188 | In case of QGIS it returns an instance of QgisApp. 189 | """ 190 | pass 191 | 192 | def addDockWidget(self, area, dock_widget): 193 | """Add a dock widget to the main window. 194 | 195 | :param area: Where in the ui the dock should be placed. 196 | :type area: 197 | 198 | :param dock_widget: A dock widget to add to the UI. 199 | :type dock_widget: QDockWidget 200 | """ 201 | pass 202 | 203 | def legendInterface(self): 204 | """Get the legend.""" 205 | return self.canvas 206 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/tenbytenraster.asc: -------------------------------------------------------------------------------- 1 | NCOLS 10 2 | NROWS 10 3 | XLLCENTER 1535380.000000 4 | YLLCENTER 5083260.000000 5 | DX 10 6 | DY 10 7 | NODATA_VALUE -9999 8 | 0 1 2 3 4 5 6 7 8 9 9 | 0 1 2 3 4 5 6 7 8 9 10 | 0 1 2 3 4 5 6 7 8 9 11 | 0 1 2 3 4 5 6 7 8 9 12 | 0 1 2 3 4 5 6 7 8 9 13 | 0 1 2 3 4 5 6 7 8 9 14 | 0 1 2 3 4 5 6 7 8 9 15 | 0 1 2 3 4 5 6 7 8 9 16 | 0 1 2 3 4 5 6 7 8 9 17 | 0 1 2 3 4 5 6 7 8 9 18 | CRS 19 | NOTES 20 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/tenbytenraster.asc.aux.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | Point 4 | 5 | 6 | 7 | 9 8 | 4.5 9 | 0 10 | 2.872281323269 11 | 12 | 13 | 14 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/tenbytenraster.keywords: -------------------------------------------------------------------------------- 1 | title: Tenbytenraster 2 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/tenbytenraster.lic: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | Tim Sutton, Linfiniti Consulting CC 5 | 6 | 7 | 8 | tenbytenraster.asc 9 | 2700044251 10 | Yes 11 | Tim Sutton 12 | Tim Sutton (QGIS Source Tree) 13 | Tim Sutton 14 | This data is publicly available from QGIS Source Tree. The original 15 | file was created and contributed to QGIS by Tim Sutton. 16 | 17 | 18 | 19 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/tenbytenraster.prj: -------------------------------------------------------------------------------- 1 | GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]] -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/tenbytenraster.qml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 0 26 | 27 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/test_init.py: -------------------------------------------------------------------------------- 1 | # coding=utf-8 2 | """Tests QGIS plugin init.""" 3 | 4 | __author__ = 'Tim Sutton ' 5 | __revision__ = '$Format:%H$' 6 | __date__ = '17/10/2010' 7 | __license__ = "GPL" 8 | __copyright__ = 'Copyright 2012, Australia Indonesia Facility for ' 9 | __copyright__ += 'Disaster Reduction' 10 | 11 | import os 12 | import unittest 13 | import logging 14 | import configparser 15 | 16 | LOGGER = logging.getLogger('QGIS') 17 | 18 | 19 | class TestInit(unittest.TestCase): 20 | """Test that the plugin init is usable for QGIS. 21 | 22 | Based heavily on the validator class by Alessandro 23 | Passoti available here: 24 | 25 | http://github.com/qgis/qgis-django/blob/master/qgis-app/ 26 | plugins/validator.py 27 | 28 | """ 29 | 30 | def test_read_init(self): 31 | """Test that the plugin __init__ will validate on plugins.qgis.org.""" 32 | 33 | # You should update this list according to the latest in 34 | # https://github.com/qgis/qgis-django/blob/master/qgis-app/ 35 | # plugins/validator.py 36 | 37 | required_metadata = [ 38 | 'name', 39 | 'description', 40 | 'version', 41 | 'qgisMinimumVersion', 42 | 'email', 43 | 'author'] 44 | 45 | file_path = os.path.abspath(os.path.join( 46 | os.path.dirname(__file__), os.pardir, 47 | 'metadata.txt')) 48 | LOGGER.info(file_path) 49 | metadata = [] 50 | parser = configparser.ConfigParser() 51 | parser.optionxform = str 52 | parser.read(file_path) 53 | message = 'Cannot find a section named "general" in %s' % file_path 54 | assert parser.has_section('general'), message 55 | metadata.extend(parser.items('general')) 56 | 57 | for expectation in required_metadata: 58 | message = ('Cannot find metadata "%s" in metadata source (%s).' % ( 59 | expectation, file_path)) 60 | 61 | self.assertIn(expectation, dict(metadata), message) 62 | 63 | if __name__ == '__main__': 64 | unittest.main() 65 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/test_qgis_environment.py: -------------------------------------------------------------------------------- 1 | # coding=utf-8 2 | """Tests for QGIS functionality. 3 | 4 | 5 | .. note:: This program is free software; you can redistribute it and/or modify 6 | it under the terms of the GNU General Public License as published by 7 | the Free Software Foundation; either version 2 of the License, or 8 | (at your option) any later version. 9 | 10 | """ 11 | __author__ = 'tim@linfiniti.com' 12 | __date__ = '20/01/2011' 13 | __copyright__ = ('Copyright 2012, Australia Indonesia Facility for ' 14 | 'Disaster Reduction') 15 | 16 | import os 17 | import unittest 18 | from qgis.core import ( 19 | QgsProviderRegistry, 20 | QgsCoordinateReferenceSystem, 21 | QgsRasterLayer) 22 | 23 | from .utilities import get_qgis_app 24 | QGIS_APP = get_qgis_app() 25 | 26 | 27 | class QGISTest(unittest.TestCase): 28 | """Test the QGIS Environment""" 29 | 30 | def test_qgis_environment(self): 31 | """QGIS environment has the expected providers""" 32 | 33 | r = QgsProviderRegistry.instance() 34 | self.assertIn('gdal', r.providerList()) 35 | self.assertIn('ogr', r.providerList()) 36 | self.assertIn('postgres', r.providerList()) 37 | 38 | def test_projection(self): 39 | """Test that QGIS properly parses a wkt string. 40 | """ 41 | crs = QgsCoordinateReferenceSystem() 42 | wkt = ( 43 | 'GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",' 44 | 'SPHEROID["WGS_1984",6378137.0,298.257223563]],' 45 | 'PRIMEM["Greenwich",0.0],UNIT["Degree",' 46 | '0.0174532925199433]]') 47 | crs.createFromWkt(wkt) 48 | auth_id = crs.authid() 49 | expected_auth_id = 'EPSG:4326' 50 | self.assertEqual(auth_id, expected_auth_id) 51 | 52 | # now test for a loaded layer 53 | path = os.path.join(os.path.dirname(__file__), 'tenbytenraster.asc') 54 | title = 'TestRaster' 55 | layer = QgsRasterLayer(path, title) 56 | auth_id = layer.crs().authid() 57 | self.assertEqual(auth_id, expected_auth_id) 58 | 59 | if __name__ == '__main__': 60 | unittest.main() 61 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/test_resources.py: -------------------------------------------------------------------------------- 1 | # coding=utf-8 2 | """Resources test. 3 | 4 | .. note:: This program is free software; you can redistribute it and/or modify 5 | it under the terms of the GNU General Public License as published by 6 | the Free Software Foundation; either version 2 of the License, or 7 | (at your option) any later version. 8 | 9 | """ 10 | 11 | __author__ = 'youssef_harby@yahoo.com' 12 | __date__ = '2021-12-08' 13 | __copyright__ = 'Copyright 2021, Youssef Harby' 14 | 15 | import unittest 16 | 17 | from qgis.PyQt.QtGui import QIcon 18 | 19 | 20 | 21 | class SplitRSDataDialogTest(unittest.TestCase): 22 | """Test rerources work.""" 23 | 24 | def setUp(self): 25 | """Runs before each test.""" 26 | pass 27 | 28 | def tearDown(self): 29 | """Runs after each test.""" 30 | pass 31 | 32 | def test_icon_png(self): 33 | """Test we can click OK.""" 34 | path = ':/plugins/SplitRSData/icon.png' 35 | icon = QIcon(path) 36 | self.assertFalse(icon.isNull()) 37 | 38 | if __name__ == "__main__": 39 | suite = unittest.makeSuite(SplitRSDataResourcesTest) 40 | runner = unittest.TextTestRunner(verbosity=2) 41 | runner.run(suite) 42 | 43 | 44 | 45 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/test_split_rs_data_dialog.py: -------------------------------------------------------------------------------- 1 | # coding=utf-8 2 | """Dialog test. 3 | 4 | .. note:: This program is free software; you can redistribute it and/or modify 5 | it under the terms of the GNU General Public License as published by 6 | the Free Software Foundation; either version 2 of the License, or 7 | (at your option) any later version. 8 | 9 | """ 10 | 11 | __author__ = 'youssef_harby@yahoo.com' 12 | __date__ = '2021-12-08' 13 | __copyright__ = 'Copyright 2021, Youssef Harby' 14 | 15 | import unittest 16 | 17 | from qgis.PyQt.QtGui import QDialogButtonBox, QDialog 18 | 19 | from split_rs_data_dialog import SplitRSDataDialog 20 | 21 | from utilities import get_qgis_app 22 | QGIS_APP = get_qgis_app() 23 | 24 | 25 | class SplitRSDataDialogTest(unittest.TestCase): 26 | """Test dialog works.""" 27 | 28 | def setUp(self): 29 | """Runs before each test.""" 30 | self.dialog = SplitRSDataDialog(None) 31 | 32 | def tearDown(self): 33 | """Runs after each test.""" 34 | self.dialog = None 35 | 36 | def test_dialog_ok(self): 37 | """Test we can click OK.""" 38 | 39 | button = self.dialog.button_box.button(QDialogButtonBox.Ok) 40 | button.click() 41 | result = self.dialog.result() 42 | self.assertEqual(result, QDialog.Accepted) 43 | 44 | def test_dialog_cancel(self): 45 | """Test we can click cancel.""" 46 | button = self.dialog.button_box.button(QDialogButtonBox.Cancel) 47 | button.click() 48 | result = self.dialog.result() 49 | self.assertEqual(result, QDialog.Rejected) 50 | 51 | if __name__ == "__main__": 52 | suite = unittest.makeSuite(SplitRSDataDialogTest) 53 | runner = unittest.TextTestRunner(verbosity=2) 54 | runner.run(suite) 55 | 56 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/test_translations.py: -------------------------------------------------------------------------------- 1 | # coding=utf-8 2 | """Safe Translations Test. 3 | 4 | .. note:: This program is free software; you can redistribute it and/or modify 5 | it under the terms of the GNU General Public License as published by 6 | the Free Software Foundation; either version 2 of the License, or 7 | (at your option) any later version. 8 | 9 | """ 10 | from .utilities import get_qgis_app 11 | 12 | __author__ = 'ismailsunni@yahoo.co.id' 13 | __date__ = '12/10/2011' 14 | __copyright__ = ('Copyright 2012, Australia Indonesia Facility for ' 15 | 'Disaster Reduction') 16 | import unittest 17 | import os 18 | 19 | from qgis.PyQt.QtCore import QCoreApplication, QTranslator 20 | 21 | QGIS_APP = get_qgis_app() 22 | 23 | 24 | class SafeTranslationsTest(unittest.TestCase): 25 | """Test translations work.""" 26 | 27 | def setUp(self): 28 | """Runs before each test.""" 29 | if 'LANG' in iter(os.environ.keys()): 30 | os.environ.__delitem__('LANG') 31 | 32 | def tearDown(self): 33 | """Runs after each test.""" 34 | if 'LANG' in iter(os.environ.keys()): 35 | os.environ.__delitem__('LANG') 36 | 37 | def test_qgis_translations(self): 38 | """Test that translations work.""" 39 | parent_path = os.path.join(__file__, os.path.pardir, os.path.pardir) 40 | dir_path = os.path.abspath(parent_path) 41 | file_path = os.path.join( 42 | dir_path, 'i18n', 'af.qm') 43 | translator = QTranslator() 44 | translator.load(file_path) 45 | QCoreApplication.installTranslator(translator) 46 | 47 | expected_message = 'Goeie more' 48 | real_message = QCoreApplication.translate("@default", 'Good morning') 49 | self.assertEqual(real_message, expected_message) 50 | 51 | 52 | if __name__ == "__main__": 53 | suite = unittest.makeSuite(SafeTranslationsTest) 54 | runner = unittest.TextTestRunner(verbosity=2) 55 | runner.run(suite) 56 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/test/utilities.py: -------------------------------------------------------------------------------- 1 | # coding=utf-8 2 | """Common functionality used by regression tests.""" 3 | 4 | import sys 5 | import logging 6 | 7 | 8 | LOGGER = logging.getLogger('QGIS') 9 | QGIS_APP = None # Static variable used to hold hand to running QGIS app 10 | CANVAS = None 11 | PARENT = None 12 | IFACE = None 13 | 14 | 15 | def get_qgis_app(): 16 | """ Start one QGIS application to test against. 17 | 18 | :returns: Handle to QGIS app, canvas, iface and parent. If there are any 19 | errors the tuple members will be returned as None. 20 | :rtype: (QgsApplication, CANVAS, IFACE, PARENT) 21 | 22 | If QGIS is already running the handle to that app will be returned. 23 | """ 24 | 25 | try: 26 | from qgis.PyQt import QtGui, QtCore 27 | from qgis.core import QgsApplication 28 | from qgis.gui import QgsMapCanvas 29 | from .qgis_interface import QgisInterface 30 | except ImportError: 31 | return None, None, None, None 32 | 33 | global QGIS_APP # pylint: disable=W0603 34 | 35 | if QGIS_APP is None: 36 | gui_flag = True # All test will run qgis in gui mode 37 | #noinspection PyPep8Naming 38 | QGIS_APP = QgsApplication(sys.argv, gui_flag) 39 | # Make sure QGIS_PREFIX_PATH is set in your env if needed! 40 | QGIS_APP.initQgis() 41 | s = QGIS_APP.showSettings() 42 | LOGGER.debug(s) 43 | 44 | global PARENT # pylint: disable=W0603 45 | if PARENT is None: 46 | #noinspection PyPep8Naming 47 | PARENT = QtGui.QWidget() 48 | 49 | global CANVAS # pylint: disable=W0603 50 | if CANVAS is None: 51 | #noinspection PyPep8Naming 52 | CANVAS = QgsMapCanvas(PARENT) 53 | CANVAS.resize(QtCore.QSize(400, 400)) 54 | 55 | global IFACE # pylint: disable=W0603 56 | if IFACE is None: 57 | # QgisInterface is a stub implementation of the QGIS plugin interface 58 | #noinspection PyPep8Naming 59 | IFACE = QgisInterface(CANVAS) 60 | 61 | return QGIS_APP, CANVAS, IFACE, PARENT 62 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/COCO/__init__.py: -------------------------------------------------------------------------------- 1 | from .shape_to_coco import clip_from_file, slice, from_mask_to_coco -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/COCO/pycococreatortools/__init__.py: -------------------------------------------------------------------------------- 1 | from .pycococreatortools import * -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/COCO/pycococreatortools/pycococreatortools.py: -------------------------------------------------------------------------------- 1 | import re 2 | import datetime 3 | import numpy as np 4 | from itertools import groupby 5 | from pycocotools import mask 6 | from skimage import measure 7 | from PIL import Image 8 | 9 | 10 | def convert(text): return int(text) if text.isdigit() else text.lower() 11 | 12 | 13 | def natrual_key(key): return [convert(c) for c in re.split('([0-9]+)', key)] 14 | 15 | 16 | def resize_binary_mask(array, new_size): 17 | image = Image.fromarray(array.astype(np.uint8)*255) 18 | image = image.resize(new_size) 19 | return np.asarray(image).astype(np.bool_) 20 | 21 | 22 | def close_contour(contour): 23 | if not np.array_equal(contour[0], contour[-1]): 24 | contour = np.vstack((contour, contour[0])) 25 | return contour 26 | 27 | 28 | def binary_mask_to_rle(binary_mask): 29 | rle = {'counts': [], 'size': list(binary_mask.shape)} 30 | counts = rle.get('counts') 31 | for i, (value, elements) in enumerate(groupby(binary_mask.ravel(order='F'))): 32 | if i == 0 and value == 1: 33 | counts.append(0) 34 | counts.append(len(list(elements))) 35 | 36 | return rle 37 | 38 | 39 | def binary_mask_to_polygon(binary_mask, tolerance=0): 40 | """Converts a binary mask to COCO polygon representation 41 | 42 | Args: 43 | binary_mask: a 2D binary numpy array where '1's represent the object 44 | tolerance: Maximum distance from original points of polygon to approximated 45 | polygonal chain. If tolerance is 0, the original coordinate array is returned. 46 | 47 | """ 48 | polygons = [] 49 | # pad mask to close contours of shapes which start and end at an edge 50 | padded_binary_mask = np.pad( 51 | binary_mask, pad_width=1, mode='constant', constant_values=0) 52 | contours = measure.find_contours(padded_binary_mask, 0.5) 53 | contours = np.subtract(contours, 1) 54 | for contour in contours: 55 | contour = close_contour(contour) 56 | contour = measure.approximate_polygon(contour, tolerance) 57 | if len(contour) < 3: 58 | continue 59 | contour = np.flip(contour, axis=1) 60 | segmentation = contour.ravel().tolist() 61 | # after padding and subtracting 1 we may get -0.5 points in our segmentation 62 | segmentation = [0 if i < 0 else i for i in segmentation] 63 | polygons.append(segmentation) 64 | 65 | return polygons 66 | 67 | 68 | def create_image_info(image_id, file_name, image_size, 69 | date_captured=datetime.datetime.utcnow().isoformat(' '), 70 | license_id=1, coco_url="", flickr_url=""): 71 | 72 | image_info = { 73 | "id": image_id, 74 | "file_name": file_name, 75 | "width": image_size[0], 76 | "height": image_size[1], 77 | "date_captured": date_captured, 78 | "license": license_id, 79 | "coco_url": coco_url, 80 | "flickr_url": flickr_url 81 | } 82 | 83 | return image_info 84 | 85 | 86 | def create_annotation_info(annotation_id, image_id, category_info, binary_mask, 87 | image_size=None, tolerance=2, bounding_box=None): 88 | 89 | if image_size is not None: 90 | binary_mask = resize_binary_mask(binary_mask, image_size) 91 | 92 | binary_mask_encoded = mask.encode( 93 | np.asfortranarray(binary_mask.astype(np.uint8))) 94 | 95 | area = mask.area(binary_mask_encoded) 96 | if area < 1: 97 | return None 98 | 99 | if bounding_box is None: 100 | bounding_box = mask.toBbox(binary_mask_encoded) 101 | 102 | if category_info["is_crowd"]: 103 | is_crowd = 1 104 | segmentation = binary_mask_to_rle(binary_mask) 105 | else: 106 | is_crowd = 0 107 | segmentation = binary_mask_to_polygon(binary_mask, tolerance) 108 | if not segmentation: 109 | return None 110 | 111 | annotation_info = { 112 | "id": annotation_id, 113 | "image_id": image_id, 114 | "category_id": category_info["id"], 115 | "iscrowd": is_crowd, 116 | "area": area.tolist(), 117 | "bbox": bounding_box.tolist(), 118 | "segmentation": segmentation, 119 | "width": binary_mask.shape[1], 120 | "height": binary_mask.shape[0], 121 | } 122 | 123 | return annotation_info 124 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/COCO/shape_to_coco.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | import datetime 4 | import json 5 | import os 6 | import re 7 | import fnmatch 8 | from PIL import Image 9 | import numpy as np 10 | from .pycococreatortools import * 11 | from .tif_process import * 12 | from .slice_dataset import slice 13 | 14 | # root path for saving the tif and shp file. 15 | ROOT = r'./example_data/original_data' 16 | img_path = 'img' 17 | shp_path = 'shp' 18 | # root path for saving the mask. 19 | ROOT_DIR = ROOT + '/dataset' 20 | IMAGE_DIR = os.path.join(ROOT_DIR, "image") 21 | ANNOTATION_DIR = os.path.join(ROOT_DIR, "annotations") 22 | 23 | clip_size = 512 24 | 25 | INFO = { 26 | "description": "Image Dataset", 27 | "url": "", 28 | "version": "0.1.0", 29 | "year": 2021, 30 | "contributor": "", 31 | "date_created": datetime.datetime.utcnow().isoformat(' ') 32 | } 33 | 34 | LICENSES = [ 35 | { 36 | "id": 1, 37 | "name": "", 38 | "url": "" 39 | } 40 | ] 41 | 42 | CATEGORIES = [ 43 | { 44 | 'id': 1, 45 | 'name': 'image', 46 | 'supercategory': 'building', 47 | }, 48 | ] 49 | 50 | def filter_for_jpeg(root, files): 51 | # file_types = ['*.jpeg', '*.jpg'] 52 | file_types = ['*.tiff', '*.tif'] 53 | file_types = r'|'.join([fnmatch.translate(x) for x in file_types]) 54 | files = [os.path.join(root, f) for f in files] 55 | files = [f for f in files if re.match(file_types, f)] 56 | 57 | return files 58 | 59 | def filter_for_annotations(root, files, image_filename): 60 | # file_types = ['*.png'] 61 | file_types = ['*.tif'] 62 | file_types = r'|'.join([fnmatch.translate(x) for x in file_types]) 63 | basename_no_extension = os.path.splitext(os.path.basename(image_filename))[0] 64 | # file_name_prefix = basename_no_extension + '.*' 65 | files = [os.path.join(root, f) for f in files] 66 | files = [f for f in files if re.match(file_types, f)] 67 | # files = [f for f in files if re.match(file_name_prefix, os.path.splitext(os.path.basename(f))[0])] 68 | files = [f for f in files if basename_no_extension == os.path.splitext(os.path.basename(f))[0].split('_', 1)[0]] 69 | 70 | return files 71 | 72 | def from_mask_to_coco(root, MARK, IMAGE, ANNOTATION): 73 | ROOT_DIR = root + '/' + MARK 74 | IMAGE_DIR = ROOT_DIR + '/' + IMAGE 75 | ANNOTATION_DIR = ROOT_DIR + '/' + ANNOTATION 76 | if os.path.exists(ROOT_DIR): 77 | coco_output = { 78 | "info": INFO, 79 | "licenses": LICENSES, 80 | "categories": CATEGORIES, 81 | "images": [], 82 | "annotations": [] 83 | } 84 | 85 | image_id = 1 86 | segmentation_id = 1 87 | 88 | # filter for jpeg images 89 | for root, _, files in os.walk(IMAGE_DIR): 90 | image_files = filter_for_jpeg(root, files) 91 | 92 | # go through each image 93 | for image_filename in image_files: 94 | image = Image.open(image_filename) 95 | image_info = create_image_info( 96 | image_id, os.path.basename(image_filename), image.size) 97 | coco_output["images"].append(image_info) 98 | 99 | # filter for associated png annotations 100 | for root, _, files in os.walk(ANNOTATION_DIR): 101 | annotation_files = filter_for_annotations(root, files, image_filename) 102 | 103 | # go through each associated annotation 104 | for annotation_filename in annotation_files: 105 | 106 | print(annotation_filename) 107 | class_id = [x['id'] for x in CATEGORIES if x['name'] in annotation_filename][0] 108 | 109 | category_info = {'id': class_id, 'is_crowd': 'crowd' in image_filename} 110 | binary_mask = np.asarray(Image.open(annotation_filename) 111 | .convert('1')).astype(np.uint8) 112 | 113 | annotation_info = create_annotation_info( 114 | segmentation_id, image_id, category_info, binary_mask, 115 | image.size, tolerance=2) 116 | 117 | if annotation_info is not None: 118 | coco_output["annotations"].append(annotation_info) 119 | 120 | segmentation_id = segmentation_id + 1 121 | 122 | image_id = image_id + 1 123 | 124 | with open('{}/instances_image_{}2019.json'.format(ROOT_DIR, MARK), 'w') as output_json_file: 125 | json.dump(coco_output, output_json_file) 126 | else: 127 | print(ROOT_DIR + ' does not exit!') 128 | 129 | def main(): 130 | clip_from_file(clip_size, ROOT, img_path, shp_path) 131 | slice(ROOT_DIR, train=0.6, eval=0.2, test=0.2) 132 | from_mask_to_coco(ROOT_DIR, 'train', "image", "annotations") 133 | from_mask_to_coco(ROOT_DIR, 'eval', "image", "annotations") 134 | from_mask_to_coco(ROOT_DIR, 'test', "image", "annotations") 135 | 136 | if __name__ == "__main__": 137 | main() 138 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/COCO/slice_dataset.py: -------------------------------------------------------------------------------- 1 | import os 2 | import numpy as np 3 | import shutil 4 | import re 5 | import fnmatch 6 | 7 | ann_path = 'annotations' 8 | img_path = 'image' 9 | 10 | def filter_for_annotations(root, files, image_filename): 11 | # file_types = ['*.png'] 12 | file_types = ['*.tif'] 13 | file_types = r'|'.join([fnmatch.translate(x) for x in file_types]) 14 | basename_no_extension = os.path.splitext(os.path.basename(image_filename))[0] 15 | # file_name_prefix = basename_no_extension + '.*' 16 | files = [os.path.join(root, f) for f in files] 17 | files = [f for f in files if re.match(file_types, f)] 18 | # files = [f for f in files if re.match(file_name_prefix, os.path.splitext(os.path.basename(f))[0])] 19 | files = [f for f in files if basename_no_extension == os.path.splitext(os.path.basename(f))[0].split('_', 1)[0]] 20 | 21 | return files 22 | 23 | def copy_data(input_path, id, num, mark = 'train'): 24 | if num != 0: 25 | list = os.listdir(input_path + '/' + img_path) 26 | ann_list = os.listdir(input_path + '/' + ann_path) 27 | if not os.path.isdir(input_path + '/' + mark + '/' + img_path): 28 | os.makedirs(input_path + '/' + mark + '/' + img_path) 29 | if not os.path.isdir(input_path + '/' + mark + '/' + ann_path): 30 | os.makedirs(input_path + '/' + mark + '/' + ann_path) 31 | 32 | for i in range(num): 33 | shutil.copy(input_path + '/' + img_path + '/' + list[id[i]], input_path + '/' + mark + '/' + img_path 34 | + '/' + list[id[i]]) 35 | print('From src: ' + img_path + '/' + list[id[i]] + ' =>dst:' + '/' + mark + '/' + img_path 36 | + '/' + list[id[i]]) 37 | annotation_files = filter_for_annotations(input_path, ann_list, list[id[i]]) 38 | for j in range(len(annotation_files)): 39 | shutil.copy(input_path + '/' + ann_path + '/' + os.path.basename(annotation_files[j]), 40 | input_path + '/' + mark + '/' + ann_path + '/' + os.path.basename(annotation_files[j])) 41 | 42 | f = open(input_path + '/' + mark + '/' + mark + '.txt', 'w') 43 | f.write(str(id)) 44 | f.close() 45 | 46 | def slice(input_path, train=0.8, eval=0.2, test=0.0): 47 | """ 48 | slice the dataset into training, eval and test sub_dataset. 49 | :param input_path: path to the original dataset. 50 | :param train: the ratio of the training subset. 51 | :param eval: the ratio of the eval subset. 52 | :param test: the ratio of the test subset. 53 | """ 54 | list = os.listdir(input_path + '/' + img_path) 55 | ann_list = os.listdir(input_path + '/' + ann_path) 56 | num_list = len(list) 57 | n_train = int(num_list * train) 58 | if test == 0: 59 | n_eval = num_list - n_train 60 | n_test = 0 61 | else: 62 | n_eval = int(num_list * eval) 63 | n_test = num_list - n_train - n_eval 64 | 65 | img_id = np.arange(num_list) 66 | np.random.shuffle(img_id) 67 | train_id, eval_id, test_id = img_id[:n_train], img_id[n_train: n_train+n_eval], img_id[n_train+n_eval:] 68 | copy_data(input_path, train_id, n_train, 'train') 69 | copy_data(input_path, eval_id, n_eval, 'eval') 70 | copy_data(input_path, test_id, n_test, 'test') 71 | 72 | if __name__ == '__main__': 73 | input_path = r'./example_data/original_data/dataset' 74 | # slice(input_path, train=0.6, eval=0.2, test=0.2) 75 | slice(input_path) 76 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/COCO/tif_process.py: -------------------------------------------------------------------------------- 1 | # Date:2019.04.10 2 | # Author: DuncanChen 3 | # A tool implementation on gdal and geotool API 4 | # functions: 5 | # 1. get mask raster with shapefile 6 | # 2. clip raster and shapefile with grid 7 | 8 | import os 9 | import numpy as np 10 | import glob 11 | from PIL import Image, ImageDraw 12 | try: 13 | from osgeo import gdal, ogr, gdalnumeric 14 | except ImportError: 15 | import gdal 16 | import ogr 17 | import gdalnumeric 18 | 19 | gdal.UseExceptions() 20 | 21 | 22 | class GeoTiff(object): 23 | def __init__(self, tif_path): 24 | """ 25 | A tool for Remote Sensing Image 26 | Args: 27 | tif_path: tif path 28 | Examples:: 29 | >>> tif = GeoTif('xx.tif') 30 | # if you want to clip tif with grid reserved geo reference 31 | >>> tif.clip_tif_with_grid(512, 'out_dir') 32 | # if you want to clip tif with shape file 33 | >>> tif.clip_tif_with_shapefile('shapefile.shp', 'save_path.tif') 34 | # if you want to mask tif with shape file 35 | >>> tif.mask_tif_with_shapefile('shapefile.shp', 'save_path.tif') 36 | """ 37 | self.dataset = gdal.Open(tif_path) 38 | self.bands_count = self.dataset.RasterCount 39 | # get each band 40 | self.bands = [self.dataset.GetRasterBand( 41 | i + 1) for i in range(self.bands_count)] 42 | self.col = self.dataset.RasterXSize 43 | self.row = self.dataset.RasterYSize 44 | self.geotransform = self.dataset.GetGeoTransform() 45 | self.src_path = tif_path 46 | self.mask = None 47 | self.mark = None 48 | 49 | def get_left_top(self): 50 | return self.geotransform[3], self.geotransform[0] 51 | 52 | def get_pixel_height_width(self): 53 | return abs(self.geotransform[5]), abs(self.geotransform[1]) 54 | 55 | def __getitem__(self, *args): 56 | """ 57 | 58 | Args: 59 | *args: range, an instance of tuple, ((start, stop, step), (start, stop, step)) 60 | 61 | Returns: 62 | res: image block , array ,[bands......, height, weight] 63 | 64 | """ 65 | if isinstance(args[0], tuple) and len(args[0]) == 2: 66 | # get params 67 | start_row, end_row = args[0][0].start, args[0][0].stop 68 | start_col, end_col = args[0][1].start, args[0][1].stop 69 | start_row = 0 if start_row is None else start_row 70 | start_col = 0 if start_col is None else start_col 71 | num_row = self.row if end_row is None else (end_row - start_row) 72 | num_col = self.col if end_col is None else (end_col - start_col) 73 | # dataset read image array 74 | res = self.dataset.ReadAsArray( 75 | start_col, start_row, num_col, num_row) 76 | return res 77 | else: 78 | raise NotImplementedError('the param should be [a: b, c: d] !') 79 | 80 | def clip_tif_with_grid(self, clip_size, begin_id, out_dir): 81 | """ 82 | clip image with grid 83 | Args: 84 | clip_size: int 85 | out_dir: str 86 | 87 | Returns: 88 | 89 | """ 90 | if not os.path.exists(out_dir): 91 | # check the dir 92 | os.makedirs(out_dir) 93 | print('create dir', out_dir) 94 | 95 | row_num = int(self.row / clip_size) 96 | col_num = int(self.col / clip_size) 97 | 98 | gtiffDriver = gdal.GetDriverByName('GTiff') 99 | if gtiffDriver is None: 100 | raise ValueError("Can't find GeoTiff Driver") 101 | 102 | count = 1 103 | for i in range(row_num): 104 | for j in range(col_num): 105 | # if begin_id+i*col_num+j in self.mark: 106 | # continue 107 | clipped_image = np.array( 108 | self[i * clip_size: (i + 1) * clip_size, j * clip_size: (j + 1) * clip_size]) 109 | clipped_image = clipped_image.astype(np.int8) 110 | 111 | try: 112 | save_path = os.path.join( 113 | out_dir, '%d.tif' % (begin_id+i*col_num+j)) 114 | save_image_with_georef(clipped_image, gtiffDriver, 115 | self.dataset, j*clip_size, i*clip_size, save_path) 116 | print('clip successfully! (%d/%d)' % 117 | (count, row_num * col_num)) 118 | count += 1 119 | except Exception: 120 | raise IOError('clip failed!%d' % count) 121 | 122 | return row_num * col_num 123 | 124 | def clip_mask_with_grid(self, clip_size, begin_id, out_dir): 125 | """ 126 | clip mask with grid 127 | Args: 128 | clip_size: int 129 | out_dir: str 130 | 131 | Returns: 132 | 133 | """ 134 | if not os.path.exists(out_dir): 135 | # check the dir 136 | os.makedirs(out_dir) 137 | print('create dir', out_dir) 138 | 139 | row_num = int(self.row / clip_size) 140 | col_num = int(self.col / clip_size) 141 | 142 | gtiffDriver = gdal.GetDriverByName('GTiff') 143 | if gtiffDriver is None: 144 | raise ValueError("Can't find GeoTiff Driver") 145 | 146 | # self.mark = [] 147 | 148 | count = 1 149 | for i in range(row_num): 150 | for j in range(col_num): 151 | clipped_image = np.array( 152 | self.mask[0, i * clip_size: (i + 1) * clip_size, j * clip_size: (j + 1) * clip_size]) 153 | ins_list = np.unique(clipped_image) 154 | # if len(ins_list) <= 1: 155 | # self.mark.append(begin_id+i*col_num+j) 156 | # continue 157 | ins_list = ins_list[1:] 158 | for id in range(len(ins_list)): 159 | bg_img = np.zeros((clipped_image.shape)).astype(np.int8) 160 | if ins_list[id] > 0: 161 | bg_img[np.where(clipped_image == ins_list[id])] = 255 162 | try: 163 | save_path = os.path.join(out_dir, '%d_%s_%d.tif' % ( 164 | begin_id+i*col_num+j, 'image', id)) 165 | save_image_with_georef(bg_img, gtiffDriver, 166 | self.dataset, j*clip_size, i*clip_size, save_path) 167 | print('clip mask successfully! (%d/%d)' % 168 | (count, row_num * col_num)) 169 | count += 1 170 | except Exception: 171 | raise IOError('clip failed!%d' % count) 172 | 173 | def world2Pixel(self, x, y): 174 | """ 175 | Uses a gdal geomatrix (gdal.GetGeoTransform()) to calculate 176 | the pixel location of a geospatial coordinate 177 | """ 178 | ulY, ulX = self.get_left_top() 179 | distY, distX = self.get_pixel_height_width() 180 | 181 | pixel_x = abs(int((x - ulX) / distX)) 182 | pixel_y = abs(int((ulY - y) / distY)) 183 | pixel_y = self.row if pixel_y > self.row else pixel_y 184 | pixel_x = self.col if pixel_x > self.col else pixel_x 185 | return pixel_x, pixel_y 186 | 187 | def mask_tif_with_shapefile(self, shapefile_path, label=255): 188 | """ 189 | mask tif with shape file, supported point, line, polygon and multi polygons 190 | Args: 191 | shapefile_path: 192 | save_path: 193 | label: 194 | 195 | Returns: 196 | 197 | """ 198 | driver = ogr.GetDriverByName('ESRI Shapefile') 199 | dataSource = driver.Open(shapefile_path, 0) 200 | if dataSource is None: 201 | raise IOError('could not open!') 202 | gtiffDriver = gdal.GetDriverByName('GTiff') 203 | if gtiffDriver is None: 204 | raise ValueError("Can't find GeoTiff Driver") 205 | 206 | layer = dataSource.GetLayer(0) 207 | # # Convert the layer extent to image pixel coordinates 208 | minX, maxX, minY, maxY = layer.GetExtent() 209 | ulX, ulY = self.world2Pixel(minX, maxY) 210 | 211 | # initialize mask drawing 212 | rasterPoly = Image.new("I", (self.col, self.row), 0) 213 | rasterize = ImageDraw.Draw(rasterPoly) 214 | 215 | feature_num = layer.GetFeatureCount() # get poly count 216 | for i in range(feature_num): 217 | points = [] # store points 218 | pixels = [] # store pixels 219 | feature = layer.GetFeature(i) 220 | geom = feature.GetGeometryRef() 221 | feature_type = geom.GetGeometryName() 222 | 223 | if feature_type == 'POLYGON' or 'MULTIPOLYGON': 224 | # multi polygon operation 225 | # 1. use label to mask the max polygon 226 | # 2. use -label to mask the other polygon 227 | for j in range(geom.GetGeometryCount()): 228 | sub_polygon = geom.GetGeometryRef(j) 229 | if feature_type == 'MULTIPOLYGON': 230 | sub_polygon = sub_polygon.GetGeometryRef(0) 231 | for p_i in range(sub_polygon.GetPointCount()): 232 | px = sub_polygon.GetX(p_i) 233 | py = sub_polygon.GetY(p_i) 234 | points.append((px, py)) 235 | 236 | for p in points: 237 | origin_pixel_x, origin_pixel_y = self.world2Pixel( 238 | p[0], p[1]) 239 | # the pixel in new image 240 | new_pixel_x, new_pixel_y = origin_pixel_x, origin_pixel_y 241 | pixels.append((new_pixel_x, new_pixel_y)) 242 | 243 | rasterize.polygon(pixels, i+1) 244 | pixels = [] 245 | points = [] 246 | if feature_type != 'MULTIPOLYGON': 247 | label = -abs(label) 248 | 249 | # restore the label value 250 | label = abs(label) 251 | else: 252 | for j in range(geom.GetPointCount()): 253 | px = geom.GetX(j) 254 | py = geom.GetY(j) 255 | points.append((px, py)) 256 | 257 | for p in points: 258 | origin_pixel_x, origin_pixel_y = self.world2Pixel( 259 | p[0], p[1]) 260 | # the pixel in new image 261 | new_pixel_x, new_pixel_y = origin_pixel_x, origin_pixel_y 262 | pixels.append((new_pixel_x, new_pixel_y)) 263 | 264 | feature.Destroy() # delete feature 265 | 266 | if feature_type == 'LINESTRING': 267 | rasterize.line(pixels, i+1) 268 | if feature_type == 'POINT': 269 | # pixel x, y 270 | rasterize.point(pixels, i+1) 271 | 272 | mask = np.array(rasterPoly) 273 | self.mask = mask[np.newaxis, :] # extend an axis to three 274 | 275 | def clip_tif_and_shapefile(self, clip_size, begin_id, shapefile_path, out_dir): 276 | self.mask_tif_with_shapefile(shapefile_path) 277 | self.clip_mask_with_grid( 278 | clip_size=clip_size, begin_id=begin_id, out_dir=out_dir + '/annotations') 279 | pic_id = self.clip_tif_with_grid( 280 | clip_size=clip_size, begin_id=begin_id, out_dir=out_dir + '/image') 281 | return pic_id 282 | 283 | 284 | def channel_first_to_last(image): 285 | """ 286 | 287 | Args: 288 | image: 3-D numpy array of shape [channel, width, height] 289 | 290 | Returns: 291 | new_image: 3-D numpy array of shape [height, width, channel] 292 | """ 293 | new_image = np.transpose(image, axes=[1, 2, 0]) 294 | return new_image 295 | 296 | 297 | def channel_last_to_first(image): 298 | """ 299 | 300 | Args: 301 | image: 3-D numpy array of shape [channel, width, height] 302 | 303 | Returns: 304 | new_image: 3-D numpy array of shape [height, width, channel] 305 | """ 306 | new_image = np.transpose(image, axes=[2, 0, 1]) 307 | return new_image 308 | 309 | 310 | def save_image_with_georef(image, driver, original_ds, offset_x=0, offset_y=0, save_path=None): 311 | """ 312 | 313 | Args: 314 | save_path: str, image save path 315 | driver: gdal IO driver 316 | image: an instance of ndarray 317 | original_ds: a instance of data set 318 | offset_x: x location in data set 319 | offset_y: y location in data set 320 | 321 | Returns: 322 | 323 | """ 324 | # get Geo Reference 325 | ds = gdalnumeric.OpenArray(image) 326 | gdalnumeric.CopyDatasetInfo(original_ds, ds, xoff=offset_x, yoff=offset_y) 327 | driver.CreateCopy(save_path, ds) 328 | # write by band 329 | clip = image.astype(np.int8) 330 | # write the dataset 331 | if len(image.shape) == 3: 332 | for i in range(image.shape[0]): 333 | ds.GetRasterBand(i + 1).WriteArray(clip[i]) 334 | else: 335 | ds.GetRasterBand(1).WriteArray(clip) 336 | del ds 337 | 338 | 339 | def define_ref_predict(tif_dir, mask_dir, save_dir): 340 | """ 341 | define reference for raster referred to a geometric raster. 342 | Args: 343 | tif_dir: the dir to save referenced raster 344 | mask_dir: 345 | save_dir: 346 | 347 | Returns: 348 | 349 | """ 350 | tif_list = glob.glob(os.path.join(tif_dir, '*.tif')) 351 | 352 | mask_list = glob.glob(os.path.join(mask_dir, '*.png')) 353 | mask_list += (glob.glob(os.path.join(mask_dir, '*.jpg'))) 354 | mask_list += (glob.glob(os.path.join(mask_dir, '*.tif'))) 355 | 356 | tif_list.sort() 357 | mask_list.sort() 358 | 359 | os.makedirs(save_dir, exist_ok=True) 360 | gtiffDriver = gdal.GetDriverByName('GTiff') 361 | if gtiffDriver is None: 362 | raise ValueError("Can't find GeoTiff Driver") 363 | for i in range(len(tif_list)): 364 | save_name = tif_list[i].split('\\')[-1] 365 | save_path = os.path.join(save_dir, save_name) 366 | tif = GeoTiff(tif_list[i]) 367 | mask = np.array(Image.open(mask_list[i])) 368 | mask = channel_last_to_first(mask) 369 | save_image_with_georef( 370 | mask, gtiffDriver, tif.dataset, save_path=save_path) 371 | 372 | 373 | class GeoShaplefile(object): 374 | def __init__(self, file_path=""): 375 | self.file_path = file_path 376 | self.layer = "" 377 | self.minX, self.maxX, self.minY, self.maxY = (0, 0, 0, 0) 378 | self.feature_type = "" 379 | self.feature_num = 0 380 | self.open_shapefile() 381 | 382 | def open_shapefile(self): 383 | driver = ogr.GetDriverByName('ESRI Shapefile') 384 | dataSource = driver.Open(self.file_path, 0) 385 | if dataSource is None: 386 | raise IOError('could not open!') 387 | gtiffDriver = gdal.GetDriverByName('GTiff') 388 | if gtiffDriver is None: 389 | raise ValueError("Can't find GeoTiff Driver") 390 | 391 | self.layer = dataSource.GetLayer(0) 392 | self.minX, self.maxX, self.minY, self.maxY = self.layer.GetExtent() 393 | self.feature_num = self.layer.GetFeatureCount() # get poly count 394 | if self.feature_num > 0: 395 | polygon = self.layer.GetFeature(0) 396 | geom = polygon.GetGeometryRef() 397 | # feature type 398 | self.feature_type = geom.GetGeometryName() 399 | 400 | # def clip_from_file(clip_size, root, img_path, shp_path): 401 | # img_list = os.listdir(root + '/' + img_path) 402 | # n_img = len(img_list) 403 | # pic_id = 0 404 | # for i in range(n_img): 405 | # tif = GeoTiff(root + '/' + img_path + '/' + img_list[i]) 406 | # img_id = img_list[i].split('.', 1)[0] 407 | # pic_num = tif.clip_tif_and_shapefile(clip_size, pic_id, root + '/' + shp_path + '/' + img_id + '/' + img_id + '.shp', root + '/dataset') 408 | # pic_id += pic_num 409 | 410 | 411 | def clip_from_file(clip_size, root, img_path, shp_path): 412 | tif = GeoTiff(img_path) 413 | tif.clip_tif_and_shapefile(clip_size, 0, shp_path, root) 414 | 415 | 416 | if __name__ == '__main__': 417 | root = r'./example_data/original_data' 418 | img_path = 'img' 419 | shp_path = 'shp' 420 | clip_from_file(512, root, img_path, shp_path) 421 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/COCO/visualize_coco.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import matplotlib.pyplot as plt 3 | import pylab 4 | import os 5 | from pycocotools.coco import COCO 6 | import skimage.io as io 7 | 8 | ROOT_DIR = r'./example_data/original_data/dataset/eval' 9 | image_directory = os.path.join(ROOT_DIR, "image") 10 | annotation_file = os.path.join(ROOT_DIR, "instances_image_eval2019.json") 11 | 12 | example_coco = COCO(annotation_file) 13 | 14 | category_ids = example_coco.getCatIds(catNms=['square']) 15 | image_ids = example_coco.getImgIds(catIds=category_ids) 16 | image_data = example_coco.loadImgs(image_ids[0])[0] 17 | 18 | image = io.imread(image_directory + '/' + image_data['file_name']) 19 | plt.imshow(image) 20 | plt.axis('off') 21 | pylab.rcParams['figure.figsize'] = (8.0, 10.0) 22 | annotation_ids = example_coco.getAnnIds( 23 | imgIds=image_data['id'], catIds=category_ids, iscrowd=None) 24 | annotations = example_coco.loadAnns(annotation_ids) 25 | example_coco.showAnns(annotations) 26 | plt.show() 27 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/__init__.py: -------------------------------------------------------------------------------- 1 | from .checkPIP import checkPIP 2 | from .rasterize import rasterize 3 | from .splitting import splitting 4 | from .paddlepaddle_split_dataset_list import generate_list 5 | from .intSegGDAL import rasterizeInsSeg -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/checkPIP.py: -------------------------------------------------------------------------------- 1 | def checkPIP(): 2 | import subprocess 3 | try: 4 | import Cython 5 | except ImportError: 6 | subprocess.check_call( 7 | ["python3", '-m', 'pip', 'install', 'Cython']) 8 | 9 | try: 10 | import skimage 11 | except ImportError: 12 | subprocess.check_call( 13 | ["python3", '-m', 'pip', 'install', 'scikit-image']) 14 | 15 | try: 16 | import PIL 17 | except ImportError: 18 | subprocess.check_call( 19 | ["python3", '-m', 'pip', 'install', 'Pillow']) 20 | 21 | 22 | try: 23 | import pycocotools 24 | except ImportError: 25 | subprocess.check_call( 26 | ["python3", '-m', 'pip', 'install', 'pycocotools']) 27 | checkPIP() -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/color.txt: -------------------------------------------------------------------------------- 1 | 1 0 0 0 255 2 | 2 174 156 191 234 3 | 3 159 195 134 7 4 | 4 176 204 34 208 5 | 5 125 139 142 98 6 | 6 188 245 68 132 7 | 7 161 56 236 184 8 | 8 153 203 248 159 9 | 9 111 61 187 52 10 | 10 157 211 10 208 11 | 11 208 133 122 59 12 | 12 100 181 247 85 13 | 13 148 32 17 85 14 | 14 252 30 108 156 15 | 15 45 224 220 205 16 | 16 96 101 230 53 17 | 17 195 30 110 195 18 | 18 166 5 57 119 19 | 19 29 223 147 66 20 | 20 121 189 102 26 21 | 21 23 106 51 176 22 | 22 8 148 209 197 23 | 23 71 30 190 84 24 | 24 202 80 111 107 25 | 25 221 156 118 181 26 | 26 170 187 101 209 27 | 27 87 82 127 75 28 | 28 194 223 148 71 29 | 29 252 197 110 215 30 | 30 211 39 195 183 31 | 31 235 6 163 36 32 | 32 25 28 60 190 33 | 33 230 28 167 43 34 | 34 71 127 254 202 35 | 35 44 19 197 5 36 | 36 111 153 80 234 37 | 37 88 0 131 61 38 | 38 92 103 225 122 39 | 39 167 180 69 123 40 | 40 133 122 235 109 41 | 41 19 100 177 59 42 | 42 206 127 103 15 43 | 43 248 106 179 93 44 | 44 129 207 93 123 45 | 45 14 246 163 23 46 | 46 13 243 37 65 47 | 47 29 25 220 161 48 | 48 204 86 181 33 49 | 49 48 183 192 35 50 | 50 6 232 225 247 51 | 51 83 205 148 159 52 | 52 181 105 78 105 53 | 53 215 116 200 208 54 | 54 222 63 108 75 55 | 55 227 99 106 216 56 | 56 74 205 59 102 57 | 57 55 14 231 228 58 | 58 220 133 46 232 59 | 59 190 216 142 136 60 | 60 191 68 26 191 61 | 61 125 55 250 231 62 | 62 212 249 108 154 63 | 63 98 58 177 238 64 | 64 72 236 131 178 65 | 65 157 218 168 178 66 | 66 154 131 233 132 67 | 67 145 248 215 13 68 | 68 60 111 3 99 69 | 69 120 83 164 5 70 | 70 16 112 138 157 71 | 71 181 118 217 29 72 | 72 158 152 43 19 73 | 73 72 30 13 78 74 | 74 222 0 27 232 75 | 75 240 245 30 80 76 | 76 181 232 193 97 77 | 77 36 182 74 166 78 | 78 18 159 222 134 79 | 79 76 18 201 22 80 | 80 167 192 14 242 81 | 81 225 75 19 85 82 | 82 210 241 238 28 83 | 83 121 169 145 124 84 | 84 239 127 129 241 85 | 85 99 198 124 142 86 | 86 245 220 198 219 87 | 87 43 91 206 177 88 | 88 215 128 129 225 89 | 89 224 223 21 237 90 | 90 167 200 16 55 91 | 91 25 188 201 217 92 | 92 197 30 138 224 93 | 93 208 102 64 150 94 | 94 196 142 31 218 95 | 95 88 206 70 206 96 | 96 214 92 56 51 97 | 97 95 105 199 224 98 | 98 50 241 66 250 99 | 99 50 96 139 152 100 | 100 70 243 160 235 101 | 101 217 160 204 127 102 | 102 242 219 152 92 103 | 103 114 104 84 193 104 | 104 190 192 120 112 105 | 105 222 93 237 238 106 | 106 4 39 31 253 107 | 107 123 109 186 236 108 | 108 88 167 231 194 109 | 109 182 207 20 58 110 | 110 31 205 38 252 111 | 111 53 43 51 126 112 | 112 203 88 41 85 113 | 113 64 113 143 189 114 | 114 228 2 89 18 115 | 115 220 164 126 176 116 | 116 27 190 251 137 117 | 117 92 240 185 47 118 | 118 116 23 243 192 119 | 119 79 234 8 229 120 | 120 248 183 140 158 121 | 121 152 225 26 96 122 | 122 213 188 251 89 123 | 123 46 176 50 190 124 | 124 208 10 229 220 125 | 125 122 15 8 9 126 | 126 113 88 134 238 127 | 127 84 17 242 26 128 | 128 73 34 152 125 129 | 129 43 64 166 202 130 | 130 40 36 39 9 131 | 131 254 90 135 218 132 | 132 35 90 241 44 133 | 133 66 220 169 234 134 | 134 187 171 105 160 135 | 135 96 187 219 69 136 | 136 206 130 128 65 137 | 137 153 244 244 134 138 | 138 33 101 157 112 139 | 139 247 225 23 121 140 | 140 41 165 124 184 141 | 141 125 164 2 36 142 | 142 123 1 57 135 143 | 143 21 224 72 141 144 | 144 252 246 105 80 145 | 145 223 234 157 99 146 | 146 247 48 69 210 147 | 147 205 204 216 11 148 | 148 173 87 122 85 149 | 149 125 166 242 230 150 | 150 72 113 131 161 151 | 151 8 79 20 182 152 | 152 14 235 30 28 153 | 153 211 102 250 118 154 | 154 145 107 162 171 155 | 155 209 83 203 179 156 | 156 60 49 0 159 157 | 157 79 187 115 153 158 | 158 104 159 248 206 159 | 159 106 45 60 130 160 | 160 138 249 220 102 161 | 161 232 132 77 139 162 | 162 234 27 112 79 163 | 163 41 50 45 0 164 | 164 174 24 69 156 165 | 165 94 241 56 220 166 | 166 96 111 32 21 167 | 167 102 82 79 2 168 | 168 72 205 223 69 169 | 169 113 24 239 232 170 | 170 198 50 12 213 171 | 171 132 132 79 31 172 | 172 138 87 13 29 173 | 173 9 206 26 160 174 | 174 87 21 52 81 175 | 175 233 57 73 97 176 | 176 37 114 229 202 177 | 177 131 30 133 141 178 | 178 182 231 50 99 179 | 179 88 187 44 173 180 | 180 148 36 101 223 181 | 181 217 235 175 114 182 | 182 240 167 45 116 183 | 183 113 108 145 246 184 | 184 113 85 77 110 185 | 185 19 75 116 214 186 | 186 46 123 67 220 187 | 187 240 227 237 86 188 | 188 80 86 76 229 189 | 189 66 34 1 163 190 | 190 229 113 213 58 191 | 191 245 65 194 190 192 | 192 123 213 168 99 193 | 193 162 10 89 84 194 | 194 157 112 100 186 195 | 195 49 75 131 80 196 | 196 25 240 35 58 197 | 197 107 145 51 47 198 | 198 27 123 206 148 199 | 199 218 137 217 201 200 | 200 115 139 110 253 201 | 201 197 243 158 99 202 | 202 101 141 175 70 203 | 203 190 196 105 81 204 | 204 233 158 183 154 205 | 205 44 163 168 53 206 | 206 243 243 47 175 207 | 207 53 154 175 201 208 | 208 214 245 226 233 209 | 209 226 186 246 103 210 | 210 247 110 199 113 211 | 211 233 42 44 139 212 | 212 101 76 234 195 213 | 213 200 158 162 86 214 | 214 78 21 139 53 215 | 215 13 144 8 174 216 | 216 94 92 225 40 217 | 217 80 153 126 127 218 | 218 201 58 2 61 219 | 219 81 233 246 168 220 | 220 38 40 242 157 221 | 221 178 238 94 138 222 | 222 71 246 122 16 223 | 223 186 121 190 18 224 | 224 119 46 21 9 225 | 225 44 143 169 63 226 | 226 77 65 13 3 227 | 227 252 250 91 132 228 | 228 221 0 218 229 229 | 229 66 253 35 32 230 | 230 147 212 205 120 231 | 231 188 7 68 76 232 | 232 152 174 185 173 233 | 233 88 244 193 14 234 | 234 95 77 217 43 235 | 235 223 145 71 243 236 | 236 57 38 45 50 237 | 237 3 205 253 96 238 | 238 0 81 146 193 239 | 239 211 177 213 161 240 | 240 212 36 237 4 241 | 241 129 25 176 128 242 | 242 1 142 72 11 243 | 243 174 42 194 30 244 | 244 51 147 2 9 245 | 245 82 149 9 121 246 | 246 175 117 23 37 247 | 247 140 102 6 91 248 | 248 247 155 236 190 249 | 249 73 24 187 148 250 | 250 239 137 140 99 251 | 251 99 22 67 39 252 | 252 57 141 88 219 253 | 253 131 48 94 157 254 | 254 90 227 135 125 255 | 255 49 227 160 113 256 | nv 255 255 255 255 257 | 258 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/intSegGDAL.py: -------------------------------------------------------------------------------- 1 | try: 2 | from osgeo import gdal, ogr 3 | import random 4 | except: 5 | import gdal 6 | import ogr 7 | 8 | 9 | def rasterizeInsSeg(ras_path, vec_path, outputRasIN, InsSegGDALout, color_text_path): 10 | driver = ogr.GetDriverByName("ESRI Shapefile") 11 | ras_ds = gdal.Open(ras_path) 12 | vec_ds = driver.Open(vec_path, 1) 13 | 14 | lyr = vec_ds.GetLayer() 15 | geot = ras_ds.GetGeoTransform() 16 | proj = ras_ds.GetProjection() # Get the projection from original tiff (fn_ras) 17 | 18 | layerdefinition = lyr.GetLayerDefn() 19 | feature = ogr.Feature(layerdefinition) 20 | 21 | schema = [] 22 | for n in range(layerdefinition.GetFieldCount()): 23 | fdefn = layerdefinition.GetFieldDefn(n) 24 | schema.append(fdefn.name) 25 | yy = feature.GetFieldIndex("MLDS") 26 | if yy < 0: 27 | print("MLDS field not found, we will create one for you and make all values to 1") 28 | else: 29 | lyr.DeleteField(yy) 30 | # lyr.ResetReading() 31 | new_field = ogr.FieldDefn("MLDS", ogr.OFTInteger) 32 | lyr.CreateField(new_field) 33 | feature_count = lyr.GetFeatureCount() 34 | for feature in lyr: 35 | for col in range(feature_count): 36 | col = random.randint(1, 255) 37 | feature.SetField("MLDS", col) 38 | lyr.SetFeature(feature) 39 | feature = None 40 | 41 | # isAttributeOn = att_field_input if att_field_input != '' else first_att_field 42 | # pixelsizeX = 0.2 if ras_ds.RasterXSize < 0.2 else ras_ds.RasterXSize 43 | # pixelsizeY = -0.2 if ras_ds.RasterYSize < -0.2 else ras_ds.RasterYSize 44 | 45 | drv_tiff = gdal.GetDriverByName("GTiff") 46 | chn_ras_ds = drv_tiff.Create( 47 | outputRasIN, ras_ds.RasterXSize, ras_ds.RasterYSize, 1, gdal.GDT_Byte) 48 | 49 | # Set the projection from original tiff (fn_ras) to the rasterized tiff 50 | chn_ras_ds.SetGeoTransform(geot) 51 | chn_ras_ds.SetProjection(proj) 52 | chn_ras_ds.FlushCache() 53 | 54 | gdal.RasterizeLayer(chn_ras_ds, [1], lyr, burn_values=[ 55 | 1], options=["ATTRIBUTE=MLDS"]) 56 | 57 | # Change No Data Value to 0 58 | # chn_ras_ds.GetRasterBand(1).SetNoDataValue(0) 59 | chn_ras_ds = None 60 | # lyr.DeleteField(yy) # delete field 61 | vec_ds = None 62 | 63 | gdal.DEMProcessing(InsSegGDALout, outputRasIN, 'color-relief', 64 | colorFilename=color_text_path, computeEdges=False) 65 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/paddlepaddle_split_dataset_list.py: -------------------------------------------------------------------------------- 1 | # coding: utf8 2 | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. 3 | # 4 | # Licensed under the Apache License, Version 2.0 (the "License"); 5 | # you may not use this file except in compliance with the License. 6 | # You may obtain a copy of the License at 7 | # 8 | # http://www.apache.org/licenses/LICENSE-2.0 9 | # 10 | # Unless required by applicable law or agreed to in writing, software 11 | # distributed under the License is distributed on an "AS IS" BASIS, 12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 | # See the License for the specific language governing permissions and 14 | # limitations under the License. 15 | 16 | import glob 17 | import os.path 18 | # import argparse 19 | import warnings 20 | import numpy as np 21 | 22 | # TODO: assign command line argument to variable 23 | 24 | 25 | def get_files(path, format, postfix): 26 | pattern = '*%s.%s' % (postfix, format) 27 | 28 | search_files = os.path.join(path, pattern) 29 | search_files2 = os.path.join(path, "*", pattern) # 包含子目录 30 | search_files3 = os.path.join(path, "*", "*", pattern) # 包含三级目录 31 | 32 | filenames = glob.glob(search_files) 33 | filenames2 = glob.glob(search_files2) 34 | filenames3 = glob.glob(search_files3) 35 | 36 | filenames = filenames + filenames2 + filenames3 37 | 38 | return sorted(filenames) 39 | 40 | 41 | def generate_list(args): 42 | separator = args["separator"] 43 | dataset_root = args["dataset_root"] 44 | # if sum(args["split"]) != 1.0: 45 | # raise ValueError("The sum of the division ratios must be 1") 46 | 47 | file_list = os.path.join(dataset_root, 'labels.txt') 48 | with open(file_list, "w") as f: 49 | for label_class in args["label_class"]: 50 | # print(label_class) # test 51 | f.write(label_class + '\n') 52 | 53 | image_dir = os.path.join(dataset_root, args["images_dir_name"]) 54 | label_dir = os.path.join(dataset_root, args["labels_dir_name"]) 55 | image_files = get_files(image_dir, args["format"][0], args["postfix"][0]) 56 | label_files = get_files(label_dir, args["format"][1], args["postfix"][1]) 57 | if not image_files: 58 | warnings.warn("No files in {}".format(image_dir)) 59 | num_images = len(image_files) 60 | 61 | if not label_files: 62 | warnings.warn("No files in {}".format(label_dir)) 63 | num_label = len(label_files) 64 | 65 | if num_images != num_label and num_label > 0: 66 | raise Exception("Number of images = {} number of labels = {} \n" 67 | "Either number of images is equal to number of labels, " 68 | "or number of labels is equal to 0.\n" 69 | "Please check your dataset!".format( 70 | num_images, num_label)) 71 | 72 | image_files = np.array(image_files) 73 | label_files = np.array(label_files) 74 | state = np.random.get_state() 75 | np.random.shuffle(image_files) 76 | np.random.set_state(state) 77 | np.random.shuffle(label_files) 78 | 79 | start = 0 80 | num_split = len(args["split"]) 81 | dataset_name = ['train', 'val', 'test'] 82 | for i in range(num_split): 83 | dataset_split = dataset_name[i] 84 | print("Creating {}.txt...".format(dataset_split)) 85 | if args["split"][i] > 1.0 or args["split"][i] < 0: 86 | raise ValueError( 87 | "{} dataset percentage should be 0~1.".format(dataset_split)) 88 | 89 | file_list = os.path.join(dataset_root, dataset_split + '.txt') 90 | with open(file_list, "w") as f: 91 | num = round(args["split"][i] * num_images) 92 | end = start + num 93 | if i == num_split - 1: 94 | end = num_images 95 | for item in range(start, end): 96 | left = image_files[item].replace(dataset_root, '') 97 | if left[0] == os.path.sep: 98 | left = left.lstrip(os.path.sep) 99 | 100 | try: 101 | right = label_files[item].replace(dataset_root, '') 102 | if right[0] == os.path.sep: 103 | right = right.lstrip(os.path.sep) 104 | line = left + separator + right + '\n' 105 | except: 106 | line = left + '\n' 107 | 108 | f.write(line.replace("\\", "/")) 109 | # print(line) # test 110 | start = end 111 | 112 | 113 | # if __name__ == '__main__': 114 | # args = parse_args() 115 | # generate_list(args) 116 | -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/rasterize.py: -------------------------------------------------------------------------------- 1 | try: 2 | from osgeo import gdal, ogr 3 | except: 4 | import gdal, ogr 5 | 6 | def rasterize(ras_path, vec_path, output): 7 | driver = ogr.GetDriverByName("ESRI Shapefile") 8 | ras_ds = gdal.Open(ras_path) 9 | vec_ds = driver.Open(vec_path, 1) 10 | 11 | lyr = vec_ds.GetLayer() 12 | geot = ras_ds.GetGeoTransform() 13 | proj = ras_ds.GetProjection() # Get the projection from original tiff (fn_ras) 14 | 15 | layerdefinition = lyr.GetLayerDefn() 16 | feature = ogr.Feature(layerdefinition) 17 | 18 | schema = [] 19 | for n in range(layerdefinition.GetFieldCount()): 20 | fdefn = layerdefinition.GetFieldDefn(n) 21 | schema.append(fdefn.name) 22 | yy = feature.GetFieldIndex("MLDS") 23 | if yy < 0: 24 | print("MLDS field not found, we will create one for you and make all values to 1") 25 | else: 26 | lyr.DeleteField(yy) 27 | # lyr.ResetReading() 28 | new_field = ogr.FieldDefn("MLDS", ogr.OFTInteger) 29 | lyr.CreateField(new_field) 30 | for feature in lyr: 31 | feature.SetField("MLDS", 1) 32 | lyr.SetFeature(feature) 33 | feature = None 34 | 35 | # isAttributeOn = att_field_input if att_field_input != '' else first_att_field 36 | # pixelsizeX = 0.2 if ras_ds.RasterXSize < 0.2 else ras_ds.RasterXSize 37 | # pixelsizeY = -0.2 if ras_ds.RasterYSize < -0.2 else ras_ds.RasterYSize 38 | 39 | drv_tiff = gdal.GetDriverByName("GTiff") 40 | chn_ras_ds = drv_tiff.Create( 41 | output, ras_ds.RasterXSize, ras_ds.RasterYSize, 1, gdal.GDT_Byte) 42 | 43 | # Set the projection from original tiff (fn_ras) to the rasterized tiff 44 | chn_ras_ds.SetGeoTransform(geot) 45 | chn_ras_ds.SetProjection(proj) 46 | chn_ras_ds.FlushCache() 47 | 48 | gdal.RasterizeLayer(chn_ras_ds, [1], lyr, burn_values=[1], options=["ATTRIBUTE=MLDS"]) 49 | 50 | # Change No Data Value to 0 51 | # chn_ras_ds.GetRasterBand(1).SetNoDataValue(0) 52 | chn_ras_ds = None 53 | # lyr.DeleteField(yy) # delete field 54 | vec_ds = None -------------------------------------------------------------------------------- /deep-learning-datasets-maker/utils/splitting.py: -------------------------------------------------------------------------------- 1 | try: 2 | from osgeo import gdal 3 | except: 4 | import gdal 5 | 6 | import os.path as osp 7 | import math 8 | 9 | # Start Splitting 10 | def splitting(fn_ras, cdpath, frmt_ext, imgfrmat, scaleoptions, needed_out_x, needed_out_y, file_name): 11 | ds = gdal.Open(fn_ras) 12 | gt = ds.GetGeoTransform() 13 | 14 | # get coordinates of upper left corner 15 | xmin = gt[0] 16 | ymax = gt[3] 17 | resx = gt[1] 18 | res_y = gt[5] 19 | resy = abs(res_y) 20 | 21 | # round up to nearst int 22 | xnotround = ds.RasterXSize / needed_out_x 23 | xround = math.ceil(xnotround) 24 | ynotround = ds.RasterYSize / needed_out_y 25 | yround = math.ceil(ynotround) 26 | 27 | # pixel to meter - 512×10×0.18 28 | pixtomX = needed_out_x * xround * resx 29 | pixtomy = needed_out_y * yround * resy 30 | # size of a single tile 31 | xsize = pixtomX / xround 32 | ysize = pixtomy / yround 33 | # create lists of x and y coordinates 34 | xsteps = [xmin + xsize * i for i in range(xround + 1)] 35 | ysteps = [ymax - ysize * i for i in range(yround + 1)] 36 | 37 | # loop over min and max x and y coordinates 38 | for i in range(xround): 39 | for j in range(yround): 40 | xmin = xsteps[i] 41 | xmax = xsteps[i + 1] 42 | ymax = ysteps[j] 43 | ymin = ysteps[j + 1] 44 | 45 | # use gdal warp 46 | # gdal.WarpOptions(outputType=gdal.gdalconst.GDT_Byte) 47 | # gdal.Warp("ds"+str(i)+str(j)+".tif", ds, 48 | # outputBounds = (xmin, ymin, xmax, ymax), dstNodata = -9999) 49 | 50 | # or gdal translate to subset the input raster 51 | gdal.Translate(osp.join(cdpath, \ 52 | (str(file_name) + "-" + str(j) + "-" + str(i) + "." + frmt_ext)), 53 | ds, 54 | projWin=(abs(xmin), abs(ymax), abs(xmax), abs(ymin)), 55 | xRes=resx, 56 | yRes=-resy, 57 | outputType=gdal.gdalconst.GDT_Byte, 58 | format=imgfrmat, 59 | scaleParams=[[scaleoptions]]) 60 | 61 | # close the open dataset!!! 62 | ds = None -------------------------------------------------------------------------------- /docs/img/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepbands/deep-learning-datasets-maker/4b3c81e25f1a2eee08567fc874287ac1804af0f5/docs/img/logo.png -------------------------------------------------------------------------------- /docs/img/logo2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/deepbands/deep-learning-datasets-maker/4b3c81e25f1a2eee08567fc874287ac1804af0f5/docs/img/logo2.png -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | Cython 2 | scikit-image 3 | pycocotools 4 | Pillow --------------------------------------------------------------------------------