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p2pformer

https://github.com/zhang-tao-whu/p2pformer

Science Score: 64.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org, scholar.google
  • ✓
    Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: zhang-tao-whu
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 17 MB
Statistics
  • Stars: 16
  • Watchers: 2
  • Forks: 2
  • Open Issues: 2
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

# [P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images](https://arxiv.org/pdf/2406.02930) [Tao Zhang](https://scholar.google.com/citations?user=3xu4a5oAAAAJ&hl=zh-CN), Shiqing Wei, Yikang Zhou, Muying Luo, Wenling Yu, [ShunPing Ji](https://scholar.google.com/citations?user=FjoRmF4AAAAJ&hl=zh-CN)

Install

```shell

create the conda env

conda create -n p2pformer python=3.9 conda activate p2pformer

install the pytorch 1.x,

pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117

install the mmcv

pip install opemim mim install mmcv-full==1.7.2

install the mmdet and p2pformer

pip install -e . ```

Prepare datas

Download the WHU, WHU-Mix and CrowdAI datastes, then change the data path in whu_line.py, whu-mix_line.py and crowdAI_line.

Model Zoo

The pretrained weights are available at here.

Getting Started

train

```shell

on whu dataset

PYTHONPATH=. bash tools/disttrain.sh p2pformer/configs/retrain/p2p2formercorner_whu.py 8

on whu-mix dataset

PYTHONPATH=. bash tools/disttrain.sh p2pformer/configs/retrain/p2p2formercorner_whu-mix.py 8

on crowdai dataset

PYTHONPATH=. bash tools/dist_train.sh p2pformer/configs/retrain/crowdai.py 8 ```

test

```shell

on whu dataset

PYTHONPATH=. bash tools/disttest.sh p2pformer/configs/retrain/p2p2formercorner_whu.py /path/to/model.pth 8

on whu-mix dataset

PYTHONPATH=. bash tools/disttrain.sh p2pformer/configs/retrain/p2p2formercorner_whu-mix.py /path/to/model.pth 8

on crowdai dataset

PYTHONPATH=. bash tools/dist_train.sh p2pformer/configs/retrain/crowdai.py /path/to/model.pth 8 ```

visualization

  1. Please uncomment lines 229-231 in p2pformer.py, and the polygon prediction results will be stored in work_dirs/json_preds/.
  2. Run the test script or demo script.
  3. Run the polygon_show.py to obtain the visualization results.

BibTeX @article{zhang2024p2pformer, title={P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images}, author={Zhang, Tao and Wei, Shiqing and Zhou, Yikang and Luo, Muying and Yu, Wenling and Ji, Shunping}, journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2024}, publisher={IEEE} }

Owner

  • Name: zhangtao
  • Login: zhang-tao-whu
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMDetection Contributors"
title: "OpenMMLab Detection Toolbox and Benchmark"
date-released: 2018-08-22
url: "https://github.com/open-mmlab/mmdetection"
license: Apache-2.0

GitHub Events

Total
  • Issues event: 2
  • Watch event: 23
  • Push event: 1
  • Fork event: 2
  • Create event: 2
Last Year
  • Issues event: 2
  • Watch event: 23
  • Push event: 1
  • Fork event: 2
  • Create event: 2

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 2
  • Total Committers: 1
  • Avg Commits per committer: 2.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 2
  • Committers: 1
  • Avg Commits per committer: 2.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
zhang tao z****o@w****n 2
Committer Domains (Top 20 + Academic)
whu.edu.cn: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 2
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • briliantnugraha (1)
  • non-errors (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Dependencies

docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
docker/serve/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
mmdet.egg-info/requires.txt pypi
  • asynctest *
  • cityscapesscripts *
  • codecov *
  • cython *
  • flake8 *
  • imagecorruptions *
  • interrogate *
  • isort ==4.3.21
  • kwarray *
  • matplotlib *
  • mmcv-full >=1.3.17
  • mmtrack *
  • numpy *
  • onnx ==1.7.0
  • onnxruntime >=1.8.0
  • protobuf <=3.20.1
  • pycocotools *
  • pytest *
  • scipy *
  • six *
  • sklearn *
  • terminaltables *
  • timm *
  • ubelt *
  • xdoctest >=0.10.0
  • yapf *
requirements/albu.txt pypi
  • albumentations >=0.3.2
requirements/build.txt pypi
  • cython *
  • numpy *
requirements/docs.txt pypi
  • docutils ==0.16.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables *
  • sphinx_rtd_theme ==0.5.2
requirements/mminstall.txt pypi
  • mmcv-full >=1.3.17
requirements/optional.txt pypi
  • cityscapesscripts *
  • imagecorruptions *
  • scipy *
  • sklearn *
  • timm *
requirements/readthedocs.txt pypi
  • mmcv *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • six *
  • terminaltables *
requirements/tests.txt pypi
  • asynctest * test
  • codecov * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • onnx ==1.7.0 test
  • onnxruntime >=1.8.0 test
  • protobuf <=3.20.1 test
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
  • numpy ==1.23.5
  • scipy *
  • shapely *
  • visualizer *
setup.py pypi