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 (5.3%) to scientific vocabulary

Scientific Fields

Mathematics Computer Science - 84% confidence
Artificial Intelligence and Machine Learning Computer Science - 62% confidence
Last synced: 4 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: liaokewei
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 15.9 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 12 months ago · Last pushed 12 months ago
Metadata Files
Readme License Citation

README.md

Stereoscopic-Aware Oriented Prohibited Items Detection Framework

Installation

Our code is implemented based on MMRotate, which depends on PyTorch, MMCV and MMDetection. Below are quick steps for installation. Please refer to Install Guide for more detailed instruction.

shell conda create -n open-mmlab python=3.7 pytorch==1.7.0 cudatoolkit=10.1 torchvision -c pytorch -y conda activate open-mmlab pip install openmim mim install mmcv-full mim install mmdet git clone https://github.com/open-mmlab/mmrotate.git cd mmrotate pip install -r requirements/build.txt pip install -v -e .

Training and Testing

shell sh scripts/train_ours.sh

Owner

  • Login: liaokewei
  • 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

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

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
mmrotate.egg-info/requires.txt pypi
  • asynctest *
  • codecov *
  • coverage *
  • cython *
  • e2cnn *
  • flake8 *
  • imagecorruptions *
  • interrogate *
  • isort ==4.3.21
  • kwarray *
  • matplotlib *
  • mmcv-full *
  • mmcv-full >=1.5.0
  • mmdet <3.0.0,>=2.25.1
  • numpy *
  • pycocotools *
  • pytest *
  • scikit-learn *
  • scipy *
  • six *
  • terminaltables *
  • torch *
  • ubelt *
  • wheel *
  • xdoctest >=0.10.0
  • yapf *
requirements/build.txt pypi
  • cython *
  • numpy *
requirements/docs.txt pypi
  • docutils ==0.16.0
  • markdown >=3.4.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables >=0.0.16
  • sphinx_rtd_theme ==0.5.2
requirements/mminstall.txt pypi
  • mmcv-full >=1.5.0
requirements/optional.txt pypi
  • imagecorruptions *
  • scikit-learn *
  • scipy *
requirements/readthedocs.txt pypi
  • e2cnn *
  • mmcv *
  • mmdet >=2.25.1,<3.0.0
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • mmcv-full *
  • mmdet >=2.25.1,<3.0.0
  • numpy *
  • pycocotools *
  • six *
  • terminaltables *
  • torch *
requirements/tests.txt pypi
  • asynctest * test
  • codecov * test
  • coverage * test
  • cython * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • matplotlib * test
  • pytest * test
  • scikit-learn * test
  • ubelt * test
  • wheel * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi