hit-archlens-project/.gitignore at main · sungminwoo0612/hit-archlens-project · GitHub

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# Python
**/*venv
**/__pycache__
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# Virtual environments
venv/
env/
ENV/
.venv/
.env/
**/.venv/

# IDE
.vscode/
.idea/
*.swp
*.swo
*~

# OS
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
__MACOSX/

# Logs
*.log
logs/

# Environment variables
.env
.env.local
.env.*.local

# Node.js (if using)
node_modules/
npm-debug.log*
yarn-debug.log*
yarn-error.log*

# Temporary files
*.tmp
*.temp
.cache/
cache/

# Coverage reports
htmlcov/
.coverage
.coverage.*
coverage.xml
*.cover
.hypothesis/
.pytest_cache/

# Jupyter Notebook
.ipynb_checkpoints
*.ipynb

# pyenv (프로젝트에서 Python 버전 명시를 위해 포함)
# .python-version

# pipenv
Pipfile.lock

# PEP 582
__pypackages__/

# Celery
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# ============================================
# 프로젝트별 대용량 파일 제외
# ============================================

# YOLO 모델 가중치 (실험 결과 제외, 최종 모델만 포함)
*.pt
!experiments/*/weights/*.pt
experiments/*/runs/**/*.pt

# 실험 결과 디렉터리 (이미지, 로그, 메트릭 등)
experiments/*/runs/
experiments/*/data/
experiments/**/*.cache
experiments/**/*.db

# 캐시 파일
*.pkl
*.cache
cache/

# 대용량 데이터 파일
data/Asset-Package*.zip
data/Asset-Package*/
data/outputs/
data/images/
data/labels/
data/yolo_diagrams/
data/project-*.zip

# 이미지 파일 (README에 사용되는 작은 이미지 제외)
*.png
*.jpg
*.jpeg
*.svg
*.webp
*.gif
*.bmp
*.ico
!archlens_라벨링.png
!README.md
!docs/**/*.png
!docs/**/*.jpg
!assets/demo_diagram.jpg
# README에서 사용하는 실험 결과 이미지 예외
!experiments/classification/runs/classify/yolo-cls16/val_batch0_pred.jpg
!experiments/classification/runs/classify/yolo-cls16/val_batch1_pred.jpg
!experiments/classification/runs/classify/yolo-cls16/results.png
!experiments/classification/runs/classify/yolo-cls16/confusion_matrix_normalized.png
!experiments/detection/runs/aws_icon_detector_trial_14/val_batch0_pred.jpg
!experiments/detection/runs/aws_icon_detector_trial_14/val_batch1_pred.jpg
!experiments/detection/runs/aws_icon_detector_trial_14/val_batch2_pred.jpg
!experiments/detection/runs/aws_icon_detector_trial_14/train_batch0.jpg
!experiments/detection/runs/aws_icon_detector_trial_14/results.png
!experiments/detection/runs/aws_icon_detector_trial_14/BoxPR_curve.png
!experiments/detection/runs/aws_icon_detector_trial_14/BoxF1_curve.png
!experiments/detection/runs/aws_icon_detector_trial_14/confusion_matrix_normalized.png

# PDF 및 문서 파일
*.pdf

# 아카이브 파일
*.zip
*.tar
*.tar.gz
*.rar
*.7z
archive/

# 노트북 출력 파일
experiments/*/notebooks/*.ipynb

# 통계 및 결과 JSON (대용량)
data/**/*.json
data/**/*.csv
!data/aws/**/*.json
!data/aws/**/*.csv

# requirements.txt (uv export로 자동 생성)
requirements.txt