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
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Unable to calculate vocabulary similarity
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: YYF-CQU
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 92.8 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 7 months ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

Owner

  • Name: YYF-CQU
  • Login: YYF-CQU
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
    title: "BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation"
    authors:
    - family-names: "Schramm"
      given-names: "Jonas"
    - family-names: "Vödisch"
      given-names: "Niclas"
    - family-names: "Petek"
      given-names: "Kürsat"
    - family-names: "Kiran"
      given-names: "B Ravi"
    - family-names: "Yogamani"
      given-names: "Senthil"
    - family-names: "Burgard"
      given-names: "Wolfram"
    - family-names: "Valada"
      given-names: "Abhinav"
    journal: "arXiv preprint arXiv:2403.11761"
    year: "2024"
    type: "article"
    codeurl: "https://github.com/robot-learning-freiburg/BEVCar"

GitHub Events

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  • Push event: 1
  • Create event: 1
Last Year
  • Push event: 1
  • Create event: 1

Dependencies

pyproject.toml pypi
requirements.txt pypi
  • Pillow ==9.5.0
  • cython *
  • efficientnet_pytorch ==0.7.1
  • fire ==0.4.0
  • imageio *
  • matplotlib ==3.5.1
  • numpy *
  • nuscenes-devkit *
  • opencv-python ==4.6.0.66
  • pre-commit *
  • protobuf ==3.19.4
  • pycocotools *
  • pyquaternion ==0.9.9
  • scikit-image ==0.19.3
  • scikit-learn ==1.1.2
  • scipy *
  • shapely ==1.8.5
  • tabulate *
  • tensorboard ==2.10.0
  • tensorboardX ==2.2
  • torch *
  • torchvision *
  • tqdm *
  • wandb *
  • yapf *