Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
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  • Scientific vocabulary similarity
    Low similarity (3.5%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: nobu74658
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Size: 442 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

mmdetection https://github.com/open-mmlab/mmdetection

grape/ : . - rawdata/ : - data/ : - MMDetInstanceSegTutorial.ipynb : demo/MMDetInstanceSeg_Tutorial.ipynbgrape - preprocess/ :

fisheyetocubemap/ :

  • rotate_fisheye.py : rotate 90

https://github.com/bhautikj/vrProjector/blob/master/vrProjectorWrapper.py

Getting Started

  1. docker/Dockerfile docker build -t mmdetection . docker run --name mmseg-container --gpus all --shm-size 8g -it mmdetection https://bo-li.medium.com/how-to-use-mmsegmentation-docker-image-and-mount-local-drive-3c16fa048d15

  2. cd mmdetection pip install -r requirements.txt

  3. annotation cd grape/preprocess sh annotation.sh [input_dir] [inputdir] sh annotation.sh /mmdetection-grape/grape/data/resizeblur5

  4. annotation colorJPGlabelpngannotation annotationpngJPG

  5. grape/MMDetInstanceSegTutorial.ipynb

Owner

  • Login: nobu74658
  • Kind: user

GitHub Events

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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
docker/serve_cn/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
mmdet.egg-info/requires.txt pypi
  • asynctest *
  • cityscapesscripts *
  • codecov *
  • cython *
  • emoji *
  • fairscale *
  • flake8 *
  • imagecorruptions *
  • instaboostfast *
  • interrogate *
  • isort ==4.3.21
  • jsonlines *
  • kwarray *
  • matplotlib *
  • memory_profiler *
  • mmcv <2.2.0,>=2.0.0rc4
  • mmengine <1.0.0,>=0.7.1
  • mmpretrain *
  • mmtrack *
  • motmetrics *
  • nltk *
  • numpy <1.24.0
  • numpy *
  • onnx ==1.7.0
  • onnxruntime >=1.8.0
  • parameterized *
  • prettytable *
  • protobuf <=3.20.1
  • psutil *
  • pycocoevalcap *
  • pycocotools *
  • pytest *
  • scikit-learn *
  • scipy *
  • seaborn *
  • shapely *
  • six *
  • terminaltables *
  • tqdm *
  • transformers *
  • ubelt *
  • xdoctest >=0.10.0
  • yapf *
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
  • urllib3 <2.0.0
requirements/mminstall.txt pypi
  • mmcv >=2.0.0rc4,<2.2.0
  • mmengine >=0.7.1,<1.0.0
requirements/multimodal.txt pypi
  • fairscale *
  • jsonlines *
  • nltk *
  • pycocoevalcap *
  • transformers *
requirements/optional.txt pypi
  • cityscapesscripts *
  • emoji *
  • fairscale *
  • imagecorruptions *
  • scikit-learn *
requirements/readthedocs.txt pypi
  • mmcv >=2.0.0rc4,<2.2.0
  • mmengine >=0.7.1,<1.0.0
  • scipy *
  • torch *
  • torchvision *
  • urllib3 <2.0.0
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • scipy *
  • shapely *
  • six *
  • terminaltables *
  • tqdm *
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
  • nltk * test
  • onnx ==1.7.0 test
  • onnxruntime >=1.8.0 test
  • parameterized * test
  • prettytable * test
  • protobuf <=3.20.1 test
  • psutil * test
  • pytest * test
  • transformers * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements/tracking.txt pypi
  • mmpretrain *
  • motmetrics *
  • numpy <1.24.0
  • scikit-learn *
  • seaborn *
requirements.txt pypi
setup.py pypi