Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.

Deep Learning Dataset Maker

Python 3.8 QGIS 3.16.13

Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.

image

How to use

  1. Download and install QGIS and clone the repo :
git clone [email protected]:deepbands/deep-learning-datasets-maker.git
  1. 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).

    • You can know this folder from QGIS Setting Menu at the top-left of QGIS UI Settings > User Profiles > Open Active Profile Folder .
    • Go to python/plugins then paste the deep-learning-datasets-maker folder.
    • Full path should be like : C:\Users\$USER\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins\deep-learning-datasets-maker.
  2. Open QGIS, load your raster and vector data then select the output paths for rasterized, images and labels then click ok.

TODO

  • Fix: If vector layer saved in memory not in file, rasterize can't work.
  • Fix: Splitiing Image Size.
Comments
  • Error running Quick Queries with QuickOSM recently started on Mac

    Error running Quick Queries with QuickOSM recently started on Mac

    I have been trying to run a query that I have previously had no problem running at all and have run into this error every time. Here are my system specs and whatnot:

    QGIS version | 3.22.4-Białowieża QGIS code revision 3f4577ce6e Qt version | 5.14.2 Python version | 3.8.7 GDAL/OGR version | 3.2.1 PROJ version | 6.3.2 EPSG Registry database version | v9.8.6 (2020-01-22) GEOS version | 3.9.1-CAPI-1.14.2 SQLite version | 3.31.1 PostgreSQL client version | 12.3 SpatiaLite version | 4.3.0a QWT version | 6.1.4 QScintilla2 version | 2.11.4 OS version | macOS 11.0

    Active Python plugins DigitizingTools | 1.5.1 QuickOSM | 2.0.1 quick_map_services | 0.19.29 usgs_stream_mapper | 0.2 sagaprovider | 2.12.99 grassprovider | 2.12.99 db_manager | 0.1.20 MetaSearch | 0.3.5

    And this is the dialogue from the QuickOSM Panel

    2022-03-19T18:47:06     INFO    All OSM objects with the key 'natural'='water' in the canvas or layer extent are going to be downloaded.
    2022-03-19T18:47:06     INFO    Query: natural_water
    2022-03-19T18:47:06     INFO    Encoded URL: https://lz4.overpass-api.de/api/interpreter?data=[out:xml] [timeout:25];%0A(%0A node[%22natural%22%3D%22water%22]( 27.49988,-82.45185,27.55754,-82.35723);%0A way[%22natural%22%3D%22water%22]( 27.49988,-82.45185,27.55754,-82.35723);%0A relation[%22natural%22%3D%22water%22]( 27.49988,-82.45185,27.55754,-82.35723);%0A);%0A(._;%3E;);%0Aout body;&info=QgisQuickOSMPlugin
    2022-03-19T18:47:09     INFO    Request completed
    2022-03-19T18:47:09     INFO    Checking OSM file content /private/var/folders/8s/cldnh_0n2wx39hw880qwh0lh0000gp/T/request-tNoEkc.osm
    2022-03-19T18:47:09     INFO    The OSM file is: /private/var/folders/8s/cldnh_0n2wx39hw880qwh0lh0000gp/T/request-tNoEkc.osm
    2022-03-19T18:47:09     CRITICAL   A critical error occurred, this is the traceback:
    2022-03-19T18:47:09     CRITICAL    
    2022-03-19T18:47:09     CRITICAL    base_processing_panel.py
    2022-03-19T18:47:09     CRITICAL    Error: Algorithm qgis:checkvalidity not found
                 
    2022-03-19T18:47:09     CRITICAL     File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/ui/base_processing_panel.py", line 47, in run
                  self._run()
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/ui/quick_query_panel.py", line 423, in _run
                  num_layers = process_quick_query(
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/core/process.py", line 318, in process_quick_query
                  return process_query(
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/core/process.py", line 257, in process_query
                  return open_file(
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/core/process.py", line 106, in open_file
                  layers = osm_parser.processing_parse()
                 
                  File "/Users/Cecilia1/Library/Application Support/QGIS/QGIS3/profiles/default/python/plugins/QuickOSM/core/parser/osm_parser.py", line 133, in processing_parse
                  validity = processing.run(
                 
                  File "/Applications/QGIS-LTR.app/Contents/MacOS/../Resources/python/plugins/processing/tools/general.py", line 108, in run
                  return Processing.runAlgorithm(algOrName, parameters, onFinish, feedback, context)
                 
                  File "/Applications/QGIS-LTR.app/Contents/MacOS/../Resources/python/plugins/processing/core/Processing.py", line 171, in runAlgorithm
                  raise QgsProcessingException(msg)
    

    Finally: The Processing panel shows this dialogue each time I try a query.

    Error: Algorithm qgis:checkvalidity not found

    I have made sure my language is american english and that the startup style of the app is Macintosh. If anyone could please please help me I would be so appreciative. This function is so important to the research I am doing for my senior thesis. Thank you so much for taking time to read this.

  • Init create COCO

    Init create COCO

    @Youssef-Harby The function is implemented, please check and use it. If you can, it can be merged into develop. But at present, the cutting image is repeated and can be modified 😃

  • Error running in QGIS

    Error running in QGIS

    Using on a tiff image with 4 bands RGB and alpha QGIS 3.22.4

    2022-03-10T15:24:22 WARNING Traceback (most recent call last): File "C:\Users/Chris/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\split_rs_data.py", line 315, in run rasterize(ras_path, vec_path, output) File "C:\Users/Chris/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\rasterize.py", line 11, in rasterize lyr = vec_ds.GetLayer() AttributeError: 'NoneType' object has no attribute 'GetLayer'

  • Couldn't load plugin 'deep-learning-datasets-maker' due to an error when calling its classFactory() method

    Couldn't load plugin 'deep-learning-datasets-maker' due to an error when calling its classFactory() method

    Couldn't load plugin 'deep-learning-datasets-maker' due to an error when calling its classFactory() method

    subprocess.CalledProcessError: Command '['python3', '-m', 'pip', 'install', 'Cython', 'scikit-image', 'Pillow', 'pycocotools']' returned non-zero exit status 1. Traceback (most recent call last): File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO\pycococreatortools\pycococreatortools.py", line 10, in from pycocotools import mask File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = _builtin_import(name, globals, locals, fromlist, level) ModuleNotFoundError: No module named 'pycocotools'

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last): File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 335, in startPlugin plugins[packageName] = package.classFactory(iface) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker_init_.py", line 35, in classFactory from .split_rs_data import SplitRSData File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = _builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\split_rs_data.py", line 46, in from .utils.COCO import clip_from_file, slice, from_mask_to_coco File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO_init.py", line 1, in from .shape_to_coco import clip_from_file, slice, from_mask_to_coco File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = _builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO\shape_to_coco.py", line 16, in from .pycococreatortools import * File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO\pycococreatortools_init.py", line 1, in from .pycococreatortools import * File "C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python\qgis\utils.py", line 685, in _import mod = _builtin_import(name, globals, locals, fromlist, level) File "C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\deep-learning-datasets-maker\utils\COCO\pycococreatortools\pycococreatortools.py", line 16, in ["python3", '-m', 'pip', 'install', 'Cython', 'scikit-image', 'Pillow', 'pycocotools']) File "C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\subprocess.py", line 328, in check_call raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command '['python3', '-m', 'pip', 'install', 'Cython', 'scikit-image', 'Pillow', 'pycocotools']' returned non-zero exit status 1.

    Python version: 3.7.0 (v3.7.0:1bf9cc5093, Jun 27 2018, 04:59:51) [MSC v.1914 64 bit (AMD64)] QGIS version: 3.4.13-Madeira Madeira, 567300ccf1

    Python Path: C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins C:/PROGRA~1/QGIS3~1.4/apps/qgis-ltr/./python/plugins C:\Users\pprt\matterport\models\research C:\Users\pprt\matterport\models\research\slim C:\Program Files\QGIS 3.4\bin\python37.zip C:\PROGRA~1\QGIS3~1.4\apps\Python37\DLLs C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib C:\Program Files\QGIS 3.4\bin C:\Users\pprt\AppData\Roaming\Python\Python37\site-packages C:\Users\pprt\AppData\Roaming\Python\Python37\site-packages\tf_unet-0.1.2-py3.7.egg C:\PROGRA~1\QGIS3~1.4\apps\Python37 C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\site-packages C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\site-packages\win32 C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\site-packages\win32\lib C:\PROGRA~1\QGIS3~1.4\apps\Python37\lib\site-packages\Pythonwin C:/Users/pprt/AppData/Roaming/QGIS/QGIS3\profiles\default/python

  • An error occurred during execution of following code

    An error occurred during execution of following code

    An error occurred during execution of following code: pyplugin_installer.instance().installPlugin('deep-learning-datasets-maker', stable=False)

    Traceback (most recent call last): File "", line 1, in File "/usr/share/qgis/python/pyplugin_installer/installer.py", line 333, in installPlugin self.processDependencies(plugin["id"]) File "/usr/share/qgis/python/pyplugin_installer/installer.py", line 682, in processDependencies dlg = QgsPluginDependenciesDialog(plugin_id, to_install, to_upgrade, not_found) File "/usr/share/qgis/python/pyplugin_installer/qgsplugindependenciesdialog.py", line 92, in init _make_row(data, i, name) File "/usr/share/qgis/python/pyplugin_installer/qgsplugindependenciesdialog.py", line 63, in _make_row widget.use_stable_version = data['use_stable_version'] KeyError: 'use_stable_version'

    Python version: 3.8.10 (default, Nov 26 2021, 20:14:08) [GCC 9.3.0]

    QGIS version: 3.22.3-Białowieża 'Białowieża', 1628765ec7

    Python path: ['/usr/share/qgis/python', '/home/robotics/.local/share/QGIS/QGIS3/profiles/default/python', '/home/robotics/.local/share/QGIS/QGIS3/profiles/default/python/plugins', '/usr/share/qgis/python/plugins', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages', '/home/robotics/.local/share/QGIS/QGIS3/profiles/default/python', '/home/robotics/.local/share/QGIS/QGIS3/profiles/default/python/plugins/DeepLearningTools']

buildseg is a building extraction plugin of QGIS based on PaddlePaddle.
buildseg is a building extraction plugin of QGIS based on PaddlePaddle.

buildseg buildseg is a building extraction plugin of QGIS based on PaddlePaddle. TODO Extract building on 512x512 remote sensing images. Extract build

Sep 26, 2022
buildseg is a building extraction plugin of QGIS based on PaddlePaddle.
buildseg is a building extraction plugin of QGIS based on PaddlePaddle.

buildseg buildseg is a Building Extraction plugin for QGIS based on PaddlePaddle. How to use Download and install QGIS and clone the repo : git clone

Nov 29, 2022
rastrainer is a QGIS plugin to training remote sensing semantic segmentation model based on PaddlePaddle.
rastrainer is a QGIS plugin to training remote sensing semantic segmentation model based on PaddlePaddle.

rastrainer rastrainer is a QGIS plugin to training remote sensing semantic segmentation model based on PaddlePaddle. UI TODO Init UI. Add Block. Add l

Mar 4, 2022
Implementation of "RaScaNet: Learning Tiny Models by Raster-Scanning Image" from CVPR 2021.
Implementation of

RaScaNet: Learning Tiny Models by Raster-Scanning Images Deploying deep convolutional neural networks on ultra-low power systems is challenging, becau

Nov 2, 2021
Apply a perspective transformation to a raster image inside Inkscape (no need to use an external software such as GIMP or Krita).
Apply a perspective transformation to a raster image inside Inkscape (no need to use an external software such as GIMP or Krita).

Raster Perspective Apply a perspective transformation to bitmap image using the selected path as envelope, without the need to use an external softwar

Nov 24, 2022
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

imutils A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displ

Dec 5, 2022
This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.
This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.

This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.

Aug 2, 2022
Python-experiments - A Repository which contains python scripts to automate things and make your life easier with python
Python-experiments - A Repository which contains python scripts to automate things and make your life easier with python

Python Experiments A Repository which contains python scripts to automate things

Sep 25, 2022
Agile SVG maker for python

Agile SVG Maker Need to draw hundreds of frames for a GIF? Need to change the style of all pictures in a PPT? Need to draw similar images with differe

Sep 25, 2022
AITUS - An atomatic notr maker for CYTUS
AITUS - An atomatic notr maker for CYTUS

AITUS an automatic note maker for CYTUS. 利用AI根据指定乐曲生成CYTUS游戏谱面。 效果展示:https://www

Feb 24, 2022
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Overview | Tutorials | Examples | Installation | FAQ | How to Cite Welcome to ktrain News and Announcements 2020-11-08: ktrain v0.25.x is released and

Nov 30, 2022
code and data for paper "GIANT: Scalable Creation of a Web-scale Ontology"

GIANT Code and data for paper "GIANT: Scalable Creation of a Web-scale Ontology" https://arxiv.org/pdf/2004.02118.pdf Please cite our paper if this pr

Nov 10, 2022
Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

This repository is a toolkit to do machine learning for programming languages. It implements tokenization, dataset preprocessing, model training and m

Nov 28, 2022
Make a Turtlebot3 follow a figure 8 trajectory and create a robot arm and make it follow a trajectory
Make a Turtlebot3 follow a figure 8 trajectory and create a robot arm and make it follow a trajectory

HW2 - ME 495 Overview Part 1: Makes the robot move in a figure 8 shape. The robot starts moving when launched on a real turtlebot3 and can be paused a

Oct 21, 2022
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021

Geometric Vector Perceptron Implementation of Geometric Vector Perceptron, a simple circuit with 3d rotation equivariance for learning over large biom

Nov 24, 2022
Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure

Geometric Vector Perceptron Code to accompany Learning from Protein Structure with Geometric Vector Perceptrons by B Jing, S Eismann, P Suriana, RJL T

Dec 2, 2022
[SIGGRAPH Asia 2021] DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning.

DeepVecFont This is the homepage for "DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning". Yizhi Wang and Zhouhui Lian. WI

Nov 16, 2022
[SIGGRAPH Asia 2021] DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning.

DeepVecFont This is the homepage for "DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning". Yizhi Wang and Zhouhui Lian. WI

Oct 22, 2021