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

Overview

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.

    opened by cecilia-hampton 1
  • 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 😃

    opened by geoyee 1
  • 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'

    opened by Chris-Has 1
  • 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

    enhancement 
    opened by aldinorizaldy 3
  • 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']

    bug 
    opened by makamkkumar 1
Releases(0.2.1)
Owner
deepbands
deepbands
Distributed Arcface Training in Pytorch

Distributed Arcface Training in Pytorch

3 Nov 23, 2021
An University Project of Quera Web Crawling.

WebCrawlerProject An University Project of Quera Web Crawling. خزشگر اینستاگرام در این پروژه شما باید با استفاده از کتابخانه های زیر یک خزشگر اینستاگر

Mahdi 3 Aug 12, 2022
Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression

LassoBench LassoBench is a library for high-dimensional hyperparameter optimization benchmarks based on Weighted Lasso regression. Note: LassoBench is

Kenan Šehić 5 Mar 15, 2022
Deep Markov Factor Analysis (NeurIPS2021)

Deep Markov Factor Analysis (DMFA) Codes and experiments for deep Markov factor analysis (DMFA) model accepted for publication at NeurIPS2021: A. Farn

Sarah Ostadabbas 2 Dec 16, 2022
Exploit ILP to learn symmetry breaking constraints of ASP programs.

ILP Symmetry Breaking Overview This project aims to exploit inductive logic programming to lift symmetry breaking constraints of ASP programs. Given a

Research Group Production Systems 1 Apr 13, 2022
Pytorch implementation of the paper: "SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Image Deraining"

SAPNet This repository contains the official Pytorch implementation of the paper: "SAPNet: Segmentation-Aware Progressive Network for Perceptual Contr

11 Oct 17, 2022
A annotation of yolov5-5.0

代码版本:0714 commit #4000 $ git clone https://github.com/ultralytics/yolov5 $ cd yolov5 $ git checkout 720aaa65c8873c0d87df09e3c1c14f3581d4ea61 这个代码只是注释版

Laughing 229 Dec 17, 2022
Finding Donors for CharityML

Finding-Donors-for-CharityML - Investigated factors that affect the likelihood of charity donations being made based on real census data.

Moamen Abdelkawy 1 Dec 30, 2021
A robotic arm that mimics hand movement through MediaPipe tracking.

La-Z-Arm A robotic arm that mimics hand movement through MediaPipe tracking. Hardware NVidia Jetson Nano Sparkfun Pi Servo Shield Micro Servos Webcam

Alfred 1 Jun 05, 2022
Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.

The goal is to classify different birds species based on their songs/calls. Spectrograms have been extracted from the audio samples and used as features for classification.

Aditya Dutt 9 Dec 27, 2022
[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

Mining Latent Classes for Few-shot Segmentation Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao. This codebase contains baseline of our paper Mini

Lihe Yang 66 Nov 29, 2022
A python library for face detection and features extraction based on mediapipe library

FaceAnalyzer A python library for face detection and features extraction based on mediapipe library Introduction FaceAnalyzer is a library based on me

Saifeddine ALOUI 14 Dec 30, 2022
The mini-AlphaStar (mini-AS, or mAS) - mini-scale version (non-official) of the AlphaStar (AS)

A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.

Ruo-Ze Liu 216 Jan 04, 2023
A fast model to compute optical flow between two input images.

DCVNet: Dilated Cost Volumes for Fast Optical Flow This repository contains our implementation of the paper: @InProceedings{jiang2021dcvnet, title={

Huaizu Jiang 8 Sep 27, 2021
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis Overview OpenABC-D is a large-scale labeled dataset generate

NYU Machine-Learning guided Design Automation (MLDA) 31 Nov 22, 2022
🇰🇷 Text to Image in Korean

KoDALLE Utilizing pretrained language model’s token embedding layer and position embedding layer as DALLE’s text encoder. Background Training DALLE mo

HappyFace 74 Sep 22, 2022
Official code for "Mean Shift for Self-Supervised Learning"

MSF Official code for "Mean Shift for Self-Supervised Learning" Requirements Python = 3.7.6 PyTorch = 1.4 torchvision = 0.5.0 faiss-gpu = 1.6.1 In

UMBC Vision 44 Nov 21, 2022
Code for CVPR 2021 paper: Anchor-Free Person Search

Introduction This is the implementationn for Anchor-Free Person Search in CVPR2021 License This project is released under the Apache 2.0 license. Inst

158 Jan 04, 2023
xitorch: differentiable scientific computing library

xitorch is a PyTorch-based library of differentiable functions and functionals that can be widely used in scientific computing applications as well as deep learning.

24 Apr 15, 2021
Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021.

arXiv Dual Contrastive Learning Adversarial Generative Networks (DCLGAN) We provide our PyTorch implementation of DCLGAN, which is a simple yet powerf

119 Dec 04, 2022