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pcldet

https://github.com/g-naughty/pcldet

Science Score: 44.0%

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
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: G-Naughty
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 15 MB
Statistics
  • Stars: 18
  • Watchers: 1
  • Forks: 1
  • Open Issues: 4
  • Releases: 0
Created about 3 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

PCLDet

This is Pytorch implementation for "PCLDet: Prototypical Contrastive Learning for Fine-Grained Object Detection in Remote Sensing Images"

Overview

The overall framework for PCLDet. 1702460458517

Running the code

  1. Run tools/train.py to train a new model.
  2. Set "--config" and "--work-dir" as your path. For example:
    In tools/train.py, set "--config" as config/GGM/conredetre50refpn1xfair1m.py
    All PCLDet config files are placed in the path "config/GGM" and start with "con    ".
  3. Run tools/test.py to test the model.

Citation

If you find this project useful in your research, please consider cite:

bibtex @article{ouyang2023pcldet, title={PCLDet: Prototypical Contrastive Learning for Fine-grained Object Detection in Remote Sensing Images}, author={Ouyang, Lihan and Guo, Guangmiao and Fang, Leyuan and Ghamisi, Pedram and Yue, Jun}, journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2023}, publisher={IEEE} }

Owner

  • Name: GGM
  • Login: G-Naughty
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMRotate Contributors"
title: "OpenMMLab rotated object detection toolbox and benchmark"
date-released: 2022-02-18
url: "https://github.com/open-mmlab/mmrotate"
license: Apache-2.0

GitHub Events

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Dependencies

docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
mmdetection/docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
mmdetection/docker/serve/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
mmdetection/requirements/build.txt pypi
  • cython *
  • numpy *
mmdetection/requirements/docs.txt pypi
  • docutils ==0.16.0
  • recommonmark *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables *
  • sphinx_rtd_theme ==0.5.2
mmdetection/requirements/mminstall.txt pypi
  • mmcv-full >=1.3.17
mmdetection/requirements/optional.txt pypi
  • cityscapesscripts *
  • imagecorruptions *
  • scipy *
  • sklearn *
mmdetection/requirements/readthedocs.txt pypi
  • mmcv *
  • torch *
  • torchvision *
mmdetection/requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • pycocotools-windows *
  • six *
  • terminaltables *
mmdetection/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
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
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 >=1.4.5
requirements/optional.txt pypi
  • imagecorruptions *
  • scipy *
  • sklearn *
requirements/readthedocs.txt pypi
  • mmcv *
  • mmdet *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • e2cnn *
  • matplotlib *
  • mmcv-full *
  • mmdet *
  • numpy *
  • pycocotools *
  • six *
  • terminaltables *
  • torch *
requirements/tests.txt pypi
  • asynctest * test
  • codecov * test
  • coverage * test
  • cython * test
  • e2cnn * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • matplotlib * test
  • pytest * test
  • sklearn * test
  • ubelt * test
  • wheel * test
  • xdoctest >=0.10.0 test
  • yapf * test
mmdetection/requirements.txt pypi
mmdetection/setup.py pypi
requirements.txt pypi
setup.py pypi