wing-ops/prediction/image/mx15hdi/Detect/mmsegmentation/.circleci/config.yml
jeonghyo.k 3946ff6a25 feat(prediction): 이미지 분석 서버 Docker 패키징 + DB 코드 제거
- prediction/image/ FastAPI 서버 Docker 환경 구성
  - Dockerfile: PyTorch 2.1 + CUDA 12.1 기반 GPU 이미지
  - docker-compose.yml: GPU 할당 + 데이터 볼륨 마운트
  - requirements.txt: 서버 의존성 목록
  - .env.example: 환경변수 템플릿
  - DOCKER_USAGE.md: 빌드/실행/API 사용법 문서
  - Dockerfile에 .dockerignore 제외 폴더 mkdir -p 추가
- .gitignore: prediction/image 결과물 및 모델 가중치(.pth) 제외 추가
- dbInsert_csv.py, dbInsert_shp.py 삭제 (미사용 DB 로직)
- api.py: dbInsert import 및 주석 처리된 DB 호출 코드 제거
- aerialRouter.ts: req.params 타입 오류 수정
2026-03-10 18:37:36 +09:00

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YAML

version: 2.1
jobs:
lint:
docker:
- image: cimg/python:3.7.4
steps:
- checkout
- run:
name: Install dependencies
command: |
sudo apt-add-repository ppa:brightbox/ruby-ng -y
sudo apt-get update
sudo apt-get install -y ruby2.7
- run:
name: Install pre-commit hook
command: |
pip install pre-commit
pre-commit install
- run:
name: Linting
command: pre-commit run --all-files
- run:
name: Check docstring coverage
command: |
pip install interrogate
interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-regex "__repr__" --fail-under 50 mmseg
build_cpu:
parameters:
# The python version must match available image tags in
# https://circleci.com/developer/images/image/cimg/python
python:
type: string
default: "3.7.4"
torch:
type: string
torchvision:
type: string
docker:
- image: cimg/python:<< parameters.python >>
resource_class: large
steps:
- checkout
- run:
name: Install Libraries
command: |
sudo apt-get update
sudo apt-get install -y ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx libjpeg-dev zlib1g-dev libtinfo-dev libncurses5
- run:
name: Configure Python & pip
command: |
python -m pip install --upgrade pip
python -m pip install wheel
- run:
name: Install PyTorch
command: |
python -V
python -m pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
- run:
name: Install mmseg dependencies
command: |
python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch<< parameters.torch >>/index.html
python -m pip install mmdet
python -m pip install -r requirements.txt
- run:
name: Build and install
command: |
python -m pip install -e .
- run:
name: Run unittests
command: |
python -m pip install timm
python -m coverage run --branch --source mmseg -m pytest tests/
python -m coverage xml
python -m coverage report -m
build_cu101:
machine:
image: ubuntu-1604-cuda-10.1:201909-23
resource_class: gpu.nvidia.small
steps:
- checkout
- run:
name: Install Libraries
command: |
sudo apt-get update
sudo apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx
- run:
name: Configure Python & pip
command: |
pyenv global 3.7.0
python -m pip install --upgrade pip
python -m pip install wheel
- run:
name: Install PyTorch
command: |
python -V
python -m pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
- run:
name: Install mmseg dependencies
# python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch${{matrix.torch_version}}/index.html
command: |
python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
python -m pip install mmdet
python -m pip install -r requirements.txt
- run:
name: Build and install
command: |
python setup.py check -m -s
TORCH_CUDA_ARCH_LIST=7.0 python -m pip install -e .
- run:
name: Run unittests
command: |
python -m pip install timm
python -m pytest tests/
workflows:
unit_tests:
jobs:
- lint
- build_cpu:
name: build_cpu_th1.6
torch: 1.6.0
torchvision: 0.7.0
requires:
- lint
- build_cpu:
name: build_cpu_th1.7
torch: 1.7.0
torchvision: 0.8.1
requires:
- lint
- build_cpu:
name: build_cpu_th1.8_py3.9
torch: 1.8.0
torchvision: 0.9.0
python: "3.9.0"
requires:
- lint
- build_cpu:
name: build_cpu_th1.9_py3.8
torch: 1.9.0
torchvision: 0.10.0
python: "3.8.0"
requires:
- lint
- build_cpu:
name: build_cpu_th1.9_py3.9
torch: 1.9.0
torchvision: 0.10.0
python: "3.9.0"
requires:
- lint
- build_cu101:
requires:
- build_cpu_th1.6
- build_cpu_th1.7
- build_cpu_th1.8_py3.9
- build_cpu_th1.9_py3.8
- build_cpu_th1.9_py3.9