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building_obb

https://github.com/ausmlab/building_obb

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 publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.7%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ausmlab
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 9.74 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Original README.md

Plaese refer to README_mmrot.md.

Installation

Please refer to Installation for installation instructions.

Preparing Data

Please make sure that data files sturcture should be the following. [DATA_ROOT] |--annotations | |--instances_tran.json | |--instances_val.json | |--instances_test.json |--train | |--XXX.png |--val | |--YYY.png |--test |--ZZZ.png

Then, run MakeOBBAnnotations.py to make OBB annotations from polygon. - Make sure that you should change DATA_ROOT to your own path. - Each text file is created according to each image name. - Order of annotations are the same as DOTA format. - a path of OBB having OBB annotations will be added. [DATA_ROOT] |--annotations | |--instances_tran.json | |--instances_val.json | |--instances_test.json |--OBB | |--train | | |--XXX.txt | |--val | | |--YYY.txt | |--test | |--ZZZ.txt |--train | |--XXX.png |--val | |--YYY.png |--test |--ZZZ.png

Training/Testing

  • There are config files that I used in the ./configs/bldg_redet and configs/bldg_roi_trans.
  • You have to change 'DATA_ROOT' to your own path.
  • You can use each file to train and test the model. Please refer to detailed option at get_started.md.

Owner

  • Name: AUSMLab
  • Login: ausmlab
  • Kind: organization
  • Location: Toronto, Ontario

Augmented Urban Space Modeling Lab @ York University

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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Last Year
  • Push event: 4
  • Create event: 2