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

Overview

buildseg

Python 3.8 PaddlePaddle 2.2 QGIS 3.16.11

buildseg is a Building Extraction plugin for QGIS based on PaddlePaddle.

fds

How to use

  1. Download and install QGIS and clone the repo :
git clone [email protected]:geoyee/buildseg.git
  1. Install requirements :

    • Enter the folder and install dependent libraries using OSGeo4W shell (Open As Administrator) :
    cd buildseg
    pip install -r requirements.txt
    • Or open OSGeo4W shell as administrator and enter :
    pip install opencv-python paddlepaddle>=2.2.0 paddleseg --user
  2. Copy folder named buildseg 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 buildseg folder.
    • Full path should be like : C:\Users\$USER\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins\buildseg.
  3. Open QGIS, load your raster and select the parameter file (*.pdiparams) then click ok.

Model and Parameter

Model Backbone Resolution mIoU Params(MB) Inference Time(ms) Links
OCRNet HRNet_W18 512x512 90.64% 46.4 / Static Weight
  • Train/Eval Dataset : Link.
  • We have done all testing and development using : Tesla V100 32G in AI Studio.

TODO

  • Extract building on 512x512 remote sensing images.
  • Extract building on big remote sensing images through splitting it into small tiles, extract buildings then mosaic it back (merge) to a full extent.
  • Replace the model and parameters (large-scale data).
  • Convert to static weight (*.pdiparams) instead of dynamic model (*.pdparams).
  • Add a Jupyter Notebook (*.ipynb) about how to fine-tune parameters using other's datasets based on PaddleSeg.
  • Hole digging inside the polygons.
  • Convert raster to Shapefile/GeoJson by GDAL/OGR (gdal.Polygonize) instead of findContours in OpenCV.
  • Update plugin's UI :
    • Add menu to select one raster file from QGIS opened raster layers.
    • Select the Parameter path one time (some buggy windows appear when importing the *.pdiparams file).
    • Define the output path of the vector file (Direct Path or Temporary in the memory).
    • Add setting about used GPU / block size and overlap size.
  • Accelerate, etc.
  • Add another model, like Vision Transform.
You might also like...
Multi-Modal Machine Learning toolkit based on PaddlePaddle.
Multi-Modal Machine Learning toolkit based on PaddlePaddle.

简体中文 | English PaddleMM 简介 飞桨多模态学习工具包 PaddleMM 旨在于提供模态联合学习和跨模态学习算法模型库,为处理图片文本等多模态数据提供高效的解决方案,助力多模态学习应用落地。 近期更新 2022.1.5 发布 PaddleMM 初始版本 v1.0 特性 丰富的任务

Awesome Remote Sensing Toolkit based on PaddlePaddle.
Awesome Remote Sensing Toolkit based on PaddlePaddle.

基于飞桨框架开发的高性能遥感图像处理开发套件,端到端地完成从训练到部署的全流程遥感深度学习应用。 最新动态 PaddleRS 即将发布alpha版本!欢迎大家试用 简介 PaddleRS是遥感科研院所、相关高校共同基于飞桨开发的遥感处理平台,支持遥感图像分类,目标检测,图像分割,以及变化检测等常用遥

A PaddlePaddle version image model zoo.

Paddle-Image-Models English | 简体中文 A PaddlePaddle version image model zoo. Install Package Install by pip: $ pip install ppim Install by wheel package

Plaything for Autistic Children (demo for PaddlePaddle/Wechaty/Mixlab project)
Plaything for Autistic Children (demo for PaddlePaddle/Wechaty/Mixlab project)

星星的孩子 - 一款为孤独症孩子设计的聊天机器人游戏 孤独症儿童是目前常常被忽视的一类群体。他们有着类似性格内向的特征,实际却受着广泛性发育障碍的折磨。 项目背景 这类儿童在与人交往时存在着沟通障碍,其特点表现在: 社交交流差,互动障碍明显 认知能力有限,被动认知 兴趣狭窄,重复刻板,缺乏变化和想象

Official PaddlePaddle implementation of Paint Transformer
Official PaddlePaddle implementation of Paint Transformer

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction [Paper] [Paddle Implementation] Update We have optimized the serial inference p

An implementation of paper `Real-time Convolutional Neural Networks for Emotion and Gender Classification` with PaddlePaddle.
An implementation of paper `Real-time Convolutional Neural Networks for Emotion and Gender Classification` with PaddlePaddle.

简介 通过PaddlePaddle框架复现了论文 Real-time Convolutional Neural Networks for Emotion and Gender Classification 中提出的两个模型,分别是SimpleCNN和MiniXception。利用 imdb_crop

PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

PaddlePaddle Vision Transformers State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 🤖 PaddlePaddle Visual Transformers (PaddleViT or

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa

Comments
  • QGIS crashes in startup of the plugin on Linux/Ubuntu

    QGIS crashes in startup of the plugin on Linux/Ubuntu

    Bug with Linux/Debian/Ubuntu image

    and when installing raspberry bi deps image

    it just crashes when trying to import paddle (in QGIS Python script window) without trying to install the plugin

    Tried on Ubuntu 18.04 and 20.04

    bug solved 
    opened by Youssef-Harby 4
  • Use ONNX

    Use ONNX

    please check this branch, test in Mac OS and update README / README_CN (☑ On mac OS Big Sur+). if you think we should use this branch rather than develop (use onnx instead of paddle), you can argee with the pr. or not, please write your viewpoint. thank you youssef ☺

    opened by geoyee 2
  • Installation Bug Report: Plugin Error while installation

    Installation Bug Report: Plugin Error while installation

    An error occurred during execution of following code: pyplugin_installer.instance().installPlugin('buildseg', 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', '/home/robotics/.local/lib/python3.8/site-packages', '/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 solved 
    opened by makamkkumar 2
  • Installation: using QGIS

    Installation: using QGIS "Manage and Install Plugins", or directions in the md file?

    What is better for Installation: using QGIS "Manage and Install Plugins", or following directions in the md file? Using the QGIS installer (3.24.0-Tisler) I get: An error occurred during execution of following code: pyplugin_installer.instance().installPlugin('buildseg', stable=True)

    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: 3.9.5 (default, Nov 18 2021, 16:00:48) [GCC 10.3.0]

    QGIS version: 3.24.0-Tisler 'Tisler', 6b44a42058

    Python path: ['/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python/plugins/terminus_processing', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python/plugins/LAStools', '/usr/share/qgis/python', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python/plugins', '/usr/share/qgis/python/plugins', '/home/alobo/OTB/OTB-7.3.0-Linux64/lib/python', '/usr/lib/python39.zip', '/usr/lib/python3.9', '/usr/lib/python3.9/lib-dynload', '/home/alobo/.local/lib/python3.9/site-packages', '/usr/local/lib/python3.9/dist-packages', '/usr/lib/python3/dist-packages', '/usr/lib/python3.9/dist-packages', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python', '.', '/home/alobo/.local/lib/python3.9/site-packages/IPython/extensions', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python/plugins/enmapboxplugin/site-packages', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python/plugins/enmapboxplugin', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python/plugins/enmapboxplugin/enmapbox/qgispluginsupport/qps/pyqtgraph', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python/plugins/enmapboxplugin/enmapbox/site-packages', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python/plugins/enmapboxplugin/enmapbox/apps', '/home/alobo/.local/share/QGIS/QGIS3/profiles/default/python/plugins/enmapboxplugin/enmapbox/coreapps']

    bug 
    opened by aloboa 3
Releases(v0.3.1)
Unbiased Learning To Rank Algorithms (ULTRA)

This is an Unbiased Learning To Rank Algorithms (ULTRA) toolbox, which provides a codebase for experiments and research on learning to rank with human annotated or noisy labels.

71 Dec 01, 2022
A lightweight library to compare different PyTorch implementations of the same network architecture.

TorchBug is a lightweight library designed to compare two PyTorch implementations of the same network architecture. It allows you to count, and compar

Arjun Krishnakumar 5 Jan 02, 2023
[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Scan2Cap: Context-aware Dense Captioning in RGB-D Scans Introduction We introduce the task of dense captioning in 3D scans from commodity RGB-D sensor

Dave Z. Chen 79 Nov 07, 2022
68 keypoint annotations for COFW test data

68 keypoint annotations for COFW test data This repository contains manually annotated 68 keypoints for COFW test data (original annotation of CFOW da

31 Dec 06, 2022
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight) Abstract Due to the limited and even imbalanced dat

Hanzhe Hu 99 Dec 12, 2022
The implementation of "Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement"

SF-Net for fullband SE This is the repo of the manuscript "Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Ban

Guochen Yu 36 Dec 02, 2022
Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."

Polypharmacy - DDI - Synergy Survey The Survey Paper This repository accompanies our survey paper A Unified View of Relational Deep Learning for Polyp

AstraZeneca 79 Jan 05, 2023
Code for the paper "Multi-task problems are not multi-objective"

Multi-Task problems are not multi-objective This is the code for the paper "Multi-Task problems are not multi-objective" in which we show that the com

Michael Ruchte 5 Aug 19, 2022
Source Code for Simulations in the Publication "Can the brain use waves to solve planning problems?"

Code for Simulations in the Publication Can the brain use waves to solve planning problems? Installing Required Python Packages Please use Python vers

EMD Group 2 Jul 01, 2022
BMVC 2021 Oral: code for BI-GCN: Boundary-Aware Input-Dependent Graph Convolution for Biomedical Image Segmentation

BMVC 2021 BI-GConv: Boundary-Aware Input-Dependent Graph Convolution for Biomedical Image Segmentation Necassary Dependencies: PyTorch 1.2.0 Python 3.

Yanda Meng 15 Nov 08, 2022
DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene.

DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.

sunset 709 Dec 31, 2022
Official Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021)

TDEER 🦌 🦒 Official Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021) Overview TDEE

33 Dec 23, 2022
Implementation of gaze tracking and demo

Predicting Customer Demand by Using Gaze Detecting and Object Tracking This project is the integration of gaze detecting and object tracking. Predict

2 Oct 20, 2022
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

TorchCAM: class activation explorer Simple way to leverage the class-specific activation of convolutional layers in PyTorch. Quick Tour Setting your C

F-G Fernandez 1.2k Dec 29, 2022
Implementation of Shape and Electrostatic similarity metric in deepFMPO.

DeepFMPO v3D Code accompanying the paper "On the value of using 3D-shape and electrostatic similarities in deep generative methods". The paper can be

34 Nov 28, 2022
Style transfer, deep learning, feature transform

FastPhotoStyle License Copyright (C) 2018 NVIDIA Corporation. All rights reserved. Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons

NVIDIA Corporation 10.9k Jan 02, 2023
Multivariate Time Series Transformer, public version

Multivariate Time Series Transformer Framework This code corresponds to the paper: George Zerveas et al. A Transformer-based Framework for Multivariat

363 Jan 03, 2023
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Learning to Classify Images without Labels This repo contains the Pytorch implementation of our paper: SCAN: Learning to Classify Images without Label

Wouter Van Gansbeke 1.1k Dec 30, 2022
Contrastively Disentangled Sequential Variational Audoencoder

Contrastively Disentangled Sequential Variational Audoencoder (C-DSVAE) Overview This is the implementation for our C-DSVAE, a novel self-supervised d

Junwen Bai 35 Dec 24, 2022
Self-Supervised Deep Blind Video Super-Resolution

Self-Blind-VSR Paper | Discussion Self-Supervised Deep Blind Video Super-Resolution By Haoran Bai and Jinshan Pan Abstract Existing deep learning-base

Haoran Bai 35 Dec 09, 2022