sleepyland
A toolbox for sleep data analysis and sleep stage classification. If you use SLEEPYLAND in your research, please cite: Rossi, A.D., Metaldi, M., Bechny, M. et al. SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models. npj Digit. Med. 9, 55 (2026). https://doi.org/10.1038/s41746-025-02237-2
파일 탐색기
최종 버전 다운로드 (.zip)- __init__.py
- download_service.py
- get_channel_service.py
- graph_service.py
- metrics_service.py
- prediction_service.py
- __init__.py
- all_models_metrics.csv
- file_handling.py
- file_validation.py
- logging_config.py
- sleepyland_recording_wise_metrics.csv
- __init__.py
- routes.py
- learn-nsrr01.edf
- learn-nsrr01.xml
- learn-nsrr02.edf
- learn-nsrr02.xml
- learn-nsrr03.edf
- learn-nsrr03.xml
- sleepyland_logo_dark.png
- sleepyland_logo_light.png
- spinner_download.gif
- abc_annotation_files.txt
- abc_edf_files.txt
- apoe_annotation_files.txt
- apoe_edf_files.txt
- apples_annotation_files.txt
- apples_edf_files.txt
- ccshs_annotation_files.txt
- ccshs_edf_files.txt
- cfs_annotation_files.txt
- cfs_edf_files.txt
- chat_annotation_files.txt
- chat_edf_files.txt
- homepap_annotation_files.txt
- homepap_edf_files.txt
- mesa_annotation_files.txt
- mesa_edf_files.txt
- mnc_cnc_annotation_files.txt
- mnc_cnc_edf_files.txt
- mnc_dhc_annotation_files.txt
- mnc_dhc_edf_files.txt
- mnc_ssc_annotation_files.txt
- mnc_ssc_edf_files.txt
- mros_annotation_files.txt
- mros_edf_files.txt
- msp_annotation_files.txt
- msp_edf_files.txt
- nchsdb_annotation_files.txt
- nchsdb_edf_files.txt
- shhs_annotation_files.txt
- shhs_edf_files.txt
- sof_annotation_files.txt
- sof_edf_files.txt
- wsc_allscore_files.txt
- wsc_annotation_files.txt
- wsc_edf_files.txt
- wsc_stg_files.txt
- read_files.js
- script.js
- style.css
- index.html
- .dockerignore
- app.py
- Dockerfile
- poetry.lock
- pyproject.toml
- requirements.txt
- api-checkpoint.py
- manager-checkpoint.ipynb
- api.py
- utils.py
- .dockerignore
- Dockerfile
- requirements.txt
- cc-checkpoint.ipynb
- my_notebook-checkpoint.ipynb
- my_notebook.ipynb
- sleepyland_architecture.png
- 03_staging-checkpoint.ipynb
- cmd1.txt
- s1.txt
- vars.txt
- m1-adult-age-data.txt
- m1-adult-age-features.txt
- m1-adult-age-luna.txt
- s2.ch1.txt
- s2.ch2.txt
- s2.conf
- s2.ftr
- s2.mod
- s2.priors
- s2.ranges
- s2.rspec1.svd
- s2.rspec2.svd
- s2.spec1.svd
- s2.spec2.svd
- s2.spec2a.svd
- s2.spec2b.svd
- s2.spec2c.svd
- fifth.txt
- first-freezes.txt
- first.txt
- fourth.txt
- second.txt
- seventh.txt
- sixth.txt
- third.txt
- vars.txt
- learn-nsrr01.edf
- learn-nsrr01.xml
- learn-nsrr02.edf
- learn-nsrr02.xml
- learn-nsrr03.edf
- learn-nsrr03.xml
- s.lst
- 00_overview.ipynb
- 01_indivs.ipynb
- 02_projects.ipynb
- 03_staging.ipynb
- 04_models.ipynb
- 98_advanced.ipynb
- 99_reference.ipynb
- tutorial.ipynb
- 00_introduction.ipynb
- 01_services.ipynb
- 02_sleep_staging.ipynb
- 04_sleep_dynamics.ipynb
- 05_luna_integration.ipynb
- quickstart_tutorial.ipynb
- abc_training_testing.csv
- apoe_training_testing.csv
- apples_training_testing.csv
- ccshs_training_testing.csv
- cfs_training_testing.csv
- chat_training_testing.csv
- homepap_training_testing.csv
- mesa_training_testing.csv
- mnc_cnc_training_testing.csv
- mnc_dhc_training_testing.csv
- mnc_ssc_training_testing.csv
- mros_training_testing.csv
- msp_training_testing.csv
- ncshsb_training_testing.csv
- shhs_training_testing.csv
- sof_training_testing.csv
- wsc_training_testing.csv
- nsrrid_training_testing.csv
- all_models_metrics.csv
- sleepyland_recording_wise_metrics.csv
- .dockerignore
- Dockerfile
- .dockerignore
- Dockerfile
- environment.yaml
- nsrr-download.py
- nsrr_download.sh
- requirements.txt
- docker-logo-blue.png
- docker-logo-white.png
- LIN.png
- MAC.png
- sleepyland-logo-dark.png
- sleepyland_architecture.png
- sleepyland_logo_white.png
- WIN.png
- P304_ESRS2024.png
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_512_val_dice_0.79550.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_669_val_dice_0.79560.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_766_val_dice_0.78540.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_761_val_dice_0.75960.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_1169_val_dice_0.75730.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_499_val_dice_0.75740.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_417_val_dice_0.80890.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_842_val_dice_0.79860.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_853_val_dice_0.78830.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_443_val_dice_0.76610.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_705_val_dice_0.76430.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_640_val_dice_0.76280.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_931_val_dice_0.80040.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_1653_val_dice_0.79550.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_867_val_dice_0.78240.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_1161_val_dice_0.76550.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_877_val_dice_0.74960.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- @epoch_1459_val_dice_0.75670.h5
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- abc.yaml
- apoe.yaml
- apples.yaml
- ccshs.yaml
- cfs.yaml
- chat.yaml
- homepap.yaml
- learn.yaml
- mesa.yaml
- mnc_cnc.yaml
- mnc_dhc.yaml
- mnc_ssc.yaml
- mros.yaml
- msp.yaml
- nchsdb.yaml
- shhs.yaml
- sof.yaml
- wsc.yaml
- hparams.yaml
- predict.py
- .dockerignore
- Dockerfile
- annotation_commands.json
- dataset_commands.json
- harmonize.py
- .dockerignore
- Dockerfile
- environment.yaml
- .gitignore
- docker-compose.yml
- LICENSE
- linux_rocky_setup.sh
- linux_setup.sh
- macos_setup.sh
- README.md
- win_setup.ps1
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/biomedical-signal-processing/sleepyland
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd sleepyland
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. Docker
쉬움 추천사전 준비물
- Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
- Docker Desktop 컨테이너를 빌드하고 실행하려면 필요합니다. 설치 후 실행해서 백그라운드에 켜두세요.
> docker ps
이 명령어를 터미널에 그대로 입력해 실행하세요.
> docker compose -f docker-compose.yml -p sleepyland stop
compose 설정 파일에 정의된 서비스들을 대상으로 명령을 실행합니다.
터미널에 docker compose ps 를 입력해 컨테이너들이 Up 상태인지 확인하세요. README에 포트 번호가 적혀있다면 브라우저에서 http://localhost:포트번호 로 접속해보세요.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
3. Python
쉬움사전 준비물
pip install -r gui/requirements.txt
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
jupyter notebook
브라우저에서 노트북(.ipynb) 파일들을 열람하고 실행할 수 있는 Jupyter 화면을 켭니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
// repository documentation
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