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active-learning-for-water-segmentation

https://github.com/bepuro/active-learning-for-water-segmentation

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
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (1.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Bepuro
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 6.13 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 12 months ago
Metadata Files
Readme License Citation

README.md

Запуск:

  • python -m venv myenv
  • source myenv/bin/activate
  • pip install -r requirements.txt
  • cd urfuwatersegmentation/
  • cd ppal
  • sh train.sh

Owner

  • Login: Bepuro
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMSegmentation Contributors"
title: "OpenMMLab Semantic Segmentation Toolbox and Benchmark"
date-released: 2020-07-10
url: "https://github.com/open-mmlab/mmsegmentation"
license: Apache-2.0

GitHub Events

Total
  • Push event: 7
  • Create event: 2
Last Year
  • Push event: 7
  • Create event: 2

Dependencies

.circleci/docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
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/docs.txt pypi
  • docutils ==0.16.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx_copybutton *
  • sphinx_markdown_tables *
  • urllib3 <2.0.0
requirements/mminstall.txt pypi
  • mmcv >=2.0.0rc4,<2.2.0
  • mmengine >=0.5.0,<1.0.0
requirements/multimodal.txt pypi
  • ftfy *
  • regex *
requirements/optional.txt pypi
  • cityscapesscripts *
  • diffusers *
  • einops ==0.3.0
  • imageio ==2.9.0
  • imageio-ffmpeg ==0.4.2
  • invisible-watermark *
  • kornia ==0.6
  • nibabel *
  • omegaconf ==2.1.1
  • pudb ==2019.2
  • pytorch-lightning ==1.4.2
  • streamlit >=0.73.1
  • test-tube >=0.7.5
  • timm *
  • torch-fidelity ==0.3.0
  • torchmetrics ==0.6.0
  • transformers ==4.19.2
requirements/readthedocs.txt pypi
  • mmcv >=2.0.0rc1,<2.1.0
  • mmengine >=0.4.0,<1.0.0
  • prettytable *
  • scipy *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • packaging *
  • prettytable *
  • scipy *
requirements/tests.txt pypi
  • codecov * test
  • flake8 * test
  • ftfy * test
  • interrogate * test
  • pytest * test
  • regex * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi
urfu_water_segmentation/poetry.lock pypi
  • absl-py 2.1.0
  • addict 2.4.0
  • albucore 0.0.20
  • albumentations 1.4.21
  • annotated-types 0.7.0
  • certifi 2024.8.30
  • charset-normalizer 3.4.0
  • click 8.1.7
  • colorama 0.4.6
  • contourpy 1.3.0
  • cycler 0.12.1
  • einops 0.8.0
  • eval-type-backport 0.2.0
  • fonttools 4.54.1
  • ftfy 6.3.0
  • future 1.0.0
  • grpcio 1.67.0
  • idna 3.10
  • importlib-metadata 8.5.0
  • importlib-resources 6.4.5
  • kiwisolver 1.4.7
  • markdown 3.7
  • markdown-it-py 3.0.0
  • markupsafe 3.0.2
  • mat4py 0.6.0
  • matplotlib 3.9.2
  • mdurl 0.1.2
  • mmcv 2.2.0
  • mmengine 0.10.5
  • mmpretrain 1.2.0
  • mmsegmentation 1.2.2
  • model-index 0.1.11
  • modelindex 0.0.2
  • numpy 1.26.4
  • opencv-python 4.10.0.84
  • opencv-python-headless 4.10.0.84
  • ordered-set 4.1.0
  • packaging 24.1
  • pandas 2.2.3
  • pillow 11.0.0
  • platformdirs 4.3.6
  • prettytable 3.11.0
  • protobuf 5.28.2
  • pydantic 2.9.2
  • pydantic-core 2.23.4
  • pygments 2.18.0
  • pyparsing 3.2.0
  • python-dateutil 2.9.0.post0
  • pytz 2024.2
  • pyyaml 6.0.2
  • regex 2024.9.11
  • requests 2.32.3
  • rich 13.9.2
  • scipy 1.13.1
  • setuptools 75.2.0
  • simsimd 5.9.10
  • six 1.16.0
  • stringzilla 3.10.7
  • tensorboard 2.18.0
  • tensorboard-data-server 0.7.2
  • tensorboardx 2.6.2.2
  • termcolor 2.5.0
  • tomli 2.0.2
  • torch 1.11.0+cu115
  • torchvision 0.12.0+cu115
  • tqdm 4.66.5
  • typing-extensions 4.12.2
  • tzdata 2024.2
  • urllib3 2.2.3
  • wcwidth 0.2.13
  • werkzeug 3.0.4
  • yapf 0.40.2
  • zipp 3.20.2
urfu_water_segmentation/pyproject.toml pypi
  • albumentations ^1.4.21
  • ftfy ^6.3.0
  • future ^1.0.0
  • mmcv *
  • mmpretrain >=1.0.0rc7
  • mmsegmentation *
  • numpy ^1.26
  • pandas ^2.2.3
  • python ^3.9
  • regex ^2024.9.11
  • tensorboard ^2.18.0
  • tensorboardx ^2.6.2.2
  • torch 1.11.0+cu115
  • torchvision 0.12.0+cu115
  • tqdm ^4.66.5