Data

Tools

Indexes

Applications

Experiments

Open Source Science

research_wrq-yyl

Research project cooperated by yyl and wrq.

https://github.com/yyl404/research_wrq-yyl

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 (6.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Research project cooperated by yyl and wrq.

Basic Info
  • Host: GitHub
  • Owner: yyl404
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 1.84 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Research_WRQ-YYL

1. INSTALLATION

Requirements

  • Python 3.7
  • PyTorch 1.12.1
  • MMCV 1.7.0
  • MMDetection 2.25.2
  • MMSegmentation 0.29.1

注：原文档标注需要MMCV 1.7.0，但是经过实际安装测试，MMCV 1.7.0和MMSegmentation 0.29.1不兼容，安装MMSegmentation 0.29.1时会自动安装MMCV 1.6.2

A from-scratch setup script

```shell conda create -n deepir python=3.7 -y conda activate deepir

conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch pip install openmim mim install mmcv-full mim install mmdet==2.25.2 mim install mmsegmentation==0.29.1

pip install -r requirements.txt

git clone https://github.com/Ashes-of-Midgard/researchwrq-yyl.git cd researchwrq-yyl python setup.py develop ```

2. Getting Started

Data

The dataset can be downloaded here. shell cd research_wrq-yyl mkdir data cd data git clone https://github.com/YimianDai/open-sirst-v2.git

Train

AAL+FGSM shell python tools/train_det.py configs/aal/ssd512_r34/ssd512_r34_sirst_aal.py --gpu-id 0 --work-dir work_dirs/ssd512_r34_sirst_aal

AAL shell python tools/train_det.py configs/aal/ssd512_r34/ssd512_r34_sirst_sa.py --gpu-id 0 --work-dir work_dirs/ssd512_r34_sirst_sa

Clean shell python tools/train_det.py configs/aal/ssd512_r34/ssd512_r34_sirst_clean.py --gpu-id 0 --work-dir work_dirs/ssd512_r34_sirst_clean

FGSM shell python tools/train_det.py configs/aal/ssd512_r34/ssd512_r34_sirst_fgsm.py --gpu-id 0 --work-dir work_dirs/ssd512_r34_sirst_fgsm

Result

| Model | mNoCoAP | |---|---| | Clean | 58.86 | | FGSM | 61.30 | | AAL+FGSM | 58.33 | | AAL | 62.48 |

Owner

  • Name: Yuanlong Yang
  • Login: yyl404
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "Yimian Dai"
title: "DeepInfrared Toolbox and Benchmark"
date-released: 2021-xx-yy
url: "https://github.com/YimianDai/deepinfrared"
license: Apache-2.0

GitHub Events

Total
Last Year

Dependencies

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 *
requirements/mminstall.txt pypi
  • mmcv-full >=1.3.8
  • mmdet *
  • mmsegmentation *
  • timm *
requirements/optional.txt pypi
  • imagecorruptions *
  • scikit-learn *
  • scipy *
requirements/readthedocs.txt pypi
  • mmcv *
  • prettytable *
  • recommonmark *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • packaging *
  • prettytable *
requirements/tests.txt pypi
  • codecov * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • pytest * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi