mmdet_sar_air_detect

我的sar关于飞机目标检测的相关研究代码

https://github.com/zhaowss/mmdet_sar_air_detect

Science Score: 44.0%

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  • 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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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

我的sar关于飞机目标检测的相关研究代码

Basic Info
  • Host: GitHub
  • Owner: Zhaowss
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 61.1 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

 
OpenMMLab 官网 HOT      OpenMMLab 开放平台 TRY IT OUT
 
### 内容概要: 本存储库用于存储我的研究的SAR飞机检测相关的代码,本算法基于mmdetect进行开发。 ## 基准测试和模型库 测试结果和模型可以在[模型库](docs/zh_cn/model_zoo.md)中找到。
算法架构
Object Detection Instance Segmentation Panoptic Segmentation Other
  • Contrastive Learning
  • Distillation
  • Semi-Supervised Object Detection
  • 模块组件
    Backbones Necks Loss Common

    我们在基于 MMDetection 的项目中列举了一些其他的支持的算法。

    引用

    如果你在研究中使用了本项目的代码或者性能基准,请参考如下 bibtex 引用 MMDetection。

    @article{mmdetection, title = {{MMDetection}: Open MMLab Detection Toolbox and Benchmark}, author = {Chen, Kai and Wang, Jiaqi and Pang, Jiangmiao and Cao, Yuhang and Xiong, Yu and Li, Xiaoxiao and Sun, Shuyang and Feng, Wansen and Liu, Ziwei and Xu, Jiarui and Zhang, Zheng and Cheng, Dazhi and Zhu, Chenchen and Cheng, Tianheng and Zhao, Qijie and Li, Buyu and Lu, Xin and Zhu, Rui and Wu, Yue and Dai, Jifeng and Wang, Jingdong and Shi, Jianping and Ouyang, Wanli and Loy, Chen Change and Lin, Dahua}, journal= {arXiv preprint arXiv:1906.07155}, year={2019} }

    开源许可证

    该项目采用 Apache 2.0 开源许可证

    Owner

    • Name: Zhaoweishan
    • Login: Zhaowss
    • Kind: user
    • Location: 北京
    • Company: 宇创科技

    I am conducting research in the field of deep learning, including but not limited to object detection, semantic segmentation, time series prediction, and natura

    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

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    • Push event: 3
    • Create event: 1
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    • Push event: 3
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    Dependencies

    .github/workflows/deploy.yml actions
    • actions/checkout v2 composite
    • actions/setup-python v2 composite
    .circleci/docker/Dockerfile docker
    • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
    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
    docker/serve_cn/Dockerfile docker
    • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
    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
    • urllib3 <2.0.0
    requirements/mminstall.txt pypi
    • mmcv >=2.0.0rc4,<2.2.0
    • mmengine >=0.7.1,<1.0.0
    requirements/multimodal.txt pypi
    • fairscale *
    • jsonlines *
    • nltk *
    • pycocoevalcap *
    • transformers *
    requirements/optional.txt pypi
    • cityscapesscripts *
    • emoji *
    • fairscale *
    • imagecorruptions *
    • scikit-learn *
    requirements/readthedocs.txt pypi
    • mmcv >=2.0.0rc4,<2.2.0
    • mmengine >=0.7.1,<1.0.0
    • scipy *
    • torch *
    • torchvision *
    • urllib3 <2.0.0
    requirements/runtime.txt pypi
    • matplotlib *
    • numpy *
    • pycocotools *
    • scipy *
    • shapely *
    • six *
    • terminaltables *
    • tqdm *
    requirements/tests.txt pypi
    • asynctest * test
    • cityscapesscripts * test
    • codecov * test
    • flake8 * test
    • imagecorruptions * test
    • instaboostfast * test
    • interrogate * test
    • isort ==4.3.21 test
    • kwarray * test
    • memory_profiler * test
    • nltk * test
    • onnx ==1.7.0 test
    • onnxruntime >=1.8.0 test
    • parameterized * test
    • prettytable * test
    • protobuf <=3.20.1 test
    • psutil * test
    • pytest * test
    • transformers * test
    • ubelt * test
    • xdoctest >=0.10.0 test
    • yapf * test
    requirements/tracking.txt pypi
    • mmpretrain *
    • motmetrics *
    • numpy <1.24.0
    • scikit-learn *
    • seaborn *
    requirements.txt pypi
    setup.py pypi