mmsegmentation_hubmap

Codes for HuBMAP Challenge based on mmsegmentation

https://github.com/richardshkim/mmsegmentation_hubmap

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 (3.6%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Codes for HuBMAP Challenge based on mmsegmentation

Basic Info
  • Host: GitHub
  • Owner: richardSHkim
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 14.6 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed almost 4 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

Introduction

Codes for HuBMAP Challenge based on mmsegmentation

Usage

  • build docker image bash cd docker docker build -t mmsegmentation .

  • edit tools/docker_train.sh file

Repalce [DIRTODATA] and [DIRTOREPO].

```shell GPUID=$1 CONFIG=$2

docker run -it --gpus all --ipc=host \ -v [DIRTODATA]:/data/ \ -v [DIRTOREPO]:/workspace/mmsegmentation/ \ --rm mmsegmentation:latest \ /bin/bash -c \ "cd /workspace/mmsegmentation; pip install -v -e .; CUDAVISIBLEDEVICES=${GPUID} python tools/train.py ${CONFIG}" ```

  • train bash sh tools/docker_train.sh [GPU_ID] [CONFIG_FILE]

Owner

  • Name: Seunghyeon Kim
  • Login: richardSHkim
  • Kind: user
  • Location: Korea

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

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Dependencies

.github/workflows/build.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v1.0.10 composite
  • codecov/codecov-action v2 composite
.github/workflows/deploy.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/lint.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/test_mim.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
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/docs.txt pypi
  • docutils ==0.16.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx_copybutton *
  • sphinx_markdown_tables *
requirements/mminstall.txt pypi
  • mmcls >=0.20.1
  • mmcv-full >=1.4.4,<1.7.0
requirements/optional.txt pypi
  • cityscapesscripts *
requirements/readthedocs.txt pypi
  • mmcv *
  • prettytable *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • mmcls >=0.20.1
  • numpy *
  • packaging *
  • prettytable *
requirements/tests.txt pypi
  • codecov * test
  • flake8 * test
  • interrogate * test
  • pytest * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
  • mlflow *
  • rasterio *
setup.py pypi