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mfod_master

https://github.com/ironmanfcf/mfod_master

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 (6.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ironmanfcf
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Size: 965 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

code-repo-template

Toolkit for XXXX

空的代码 Repo 模板，全局替换 MFOD 即可 python setup.py develop

Installation

Step 1: Create a conda environment

shell $ conda create --name MFOD python=3.9 $ source activate MFOD

Step 2: Install PyTorch

shell conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia

Step 3: Install OpenMMLab 2.x Codebases

```shell

openmmlab codebases

pip install -U openmim dadaptation --no-input mim install mmengine "mmcv>=2.0.0" "mmdet>=3.0.0" "mmsegmentation>=1.0.0" "mmrotate>=1.0.0rc1" mmyolo "mmpretrain>=1.0.0rc7" 'mmagic'

other dependencies

pip install -U ninja scikit-image --no-input ```

Step 4: Install MFOD

shell python setup.py develop

Note: make sure you have cd to the root directory of MFOD

shell $ git clone git@github.com:GrokCV/MFOD.git $ cd MFOD

Model Zoo and Benchmark

Note: Both passwords for BaiduYun and OneDrive is grok.

Leaderboard

Model Zoo

Method A

Model mAP #Params FLOPs Config Training Log Checkpoint Visualization
百度网盘 | OneDirve

Method B

Model mAP #Params FLOPs Config Training Log Checkpoint Visualization
百度网盘 | OneDirve

Owner

  • Login: ironmanfcf
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "DeepInfrared Contributors"
title: "MFOD Toolbox and Benchmark"
date-released: 2022-12-01
url: "https://github.com/YimianDai/open-MFOD"
license: Apache-2.0

GitHub Events

Total
  • Push event: 6
Last Year
  • Push event: 6

Dependencies

requirements/albu.txt pypi
  • albumentations >=0.3.2
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 *
  • sphinx_rtd_theme ==0.5.2
requirements/mminstall.txt pypi
  • mmcv >=2.0.0rc4,<2.1.0
  • mmengine >=0.7.1,<1.0.0
requirements/optional.txt pypi
  • cityscapesscripts *
  • imagecorruptions *
  • scikit-learn *
requirements/readthedocs.txt pypi
  • mmcv >=2.0.0rc4,<2.1.0
  • mmengine >=0.7.1,<1.0.0
  • scipy *
  • torch *
  • torchvision *
requirements/requirements.txt pypi
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • scipy *
  • shapely *
  • six *
  • terminaltables *
requirements/tests.txt pypi
  • asynctest * test
  • cityscapesscripts * test
  • codecov * test
  • flake8 * test
  • imagecorruptions * test
  • instaboostfast * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • memory_profiler * test
  • onnx ==1.7.0 test
  • onnxruntime >=1.8.0 test
  • parameterized * test
  • protobuf <=3.20.1 test
  • psutil * test
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
setup.py pypi
own_requirements.txt pypi
  • PyWavelets *
  • pytorch_wavelets *
  • wandb *