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 (5.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ssx-creator
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 16.9 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

FasDG

Environmental Setup

  • Our code is based on MMdetection 2.26.0

  • Install the required packages according to https://github.com/open-mmlab/mmdetection/tree/v2.26.0

Dataset Preparation

Download the Urban scene dataset and modify the file path in configs\_urban_scene\dataset_urban_scene as shown in:

data_root_test_t1 = 'xxx/Daytime_Sunny/VOC2007/' data_root_test_t2 = 'xxx/Daytime-Foggy/VOC2007/' data_root_test_t3 = 'xxx/Dusk-rainy/VOC2007/' data_root_test_t4 = 'xxxx/Night_rainy/VOC2007/'

How to use

  1. Please download the trained model from the link in Google Drive
  2. Test the model by running the following script:

python tools/test.py configs/_project/faster_rcnn_ours.py checkpoint/xxx.pth --eval mAP

Owner

  • Login: ssx-creator
  • Kind: user

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: 2
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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
requirements/albu.txt pypi
  • albumentations >=0.3.2
requirements/build.txt pypi
  • cython *
  • numpy *
requirements/docs.txt pypi
  • docutils ==0.16.0
  • markdown >=3.4.0
  • myst-parser *
  • sphinx ==5.3.0
  • sphinx-copybutton *
  • sphinx_markdown_tables >=0.0.17
  • sphinx_rtd_theme *
requirements/mminstall.txt pypi
  • mmcv-full >=1.3.17
requirements/optional.txt pypi
  • cityscapesscripts *
  • imagecorruptions *
  • sklearn *
requirements/readthedocs.txt pypi
  • mmcv *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • scipy *
  • six *
  • terminaltables *
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
  • protobuf <=3.20.1 test
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi