- 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
60 lines
1.7 KiB
YAML
60 lines
1.7 KiB
YAML
Collections:
|
|
- Name: CGNet
|
|
Metadata:
|
|
Training Data:
|
|
- Cityscapes
|
|
Paper:
|
|
URL: https://arxiv.org/abs/1811.08201
|
|
Title: 'CGNet: A Light-weight Context Guided Network for Semantic Segmentation'
|
|
README: configs/cgnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/backbones/cgnet.py#L187
|
|
Version: v0.17.0
|
|
Converted From:
|
|
Code: https://github.com/wutianyiRosun/CGNet
|
|
Models:
|
|
- Name: cgnet_680x680_60k_cityscapes
|
|
In Collection: CGNet
|
|
Metadata:
|
|
backbone: M3N21
|
|
crop size: (680,680)
|
|
lr schd: 60000
|
|
inference time (ms/im):
|
|
- value: 32.78
|
|
hardware: V100
|
|
backend: PyTorch
|
|
batch size: 1
|
|
mode: FP32
|
|
resolution: (680,680)
|
|
Training Memory (GB): 7.5
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 65.63
|
|
mIoU(ms+flip): 68.04
|
|
Config: configs/cgnet/cgnet_680x680_60k_cityscapes.py
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_680x680_60k_cityscapes/cgnet_680x680_60k_cityscapes_20201101_110253-4c0b2f2d.pth
|
|
- Name: cgnet_512x1024_60k_cityscapes
|
|
In Collection: CGNet
|
|
Metadata:
|
|
backbone: M3N21
|
|
crop size: (512,1024)
|
|
lr schd: 60000
|
|
inference time (ms/im):
|
|
- value: 32.11
|
|
hardware: V100
|
|
backend: PyTorch
|
|
batch size: 1
|
|
mode: FP32
|
|
resolution: (512,1024)
|
|
Training Memory (GB): 8.3
|
|
Results:
|
|
- Task: Semantic Segmentation
|
|
Dataset: Cityscapes
|
|
Metrics:
|
|
mIoU: 68.27
|
|
mIoU(ms+flip): 70.33
|
|
Config: configs/cgnet/cgnet_512x1024_60k_cityscapes.py
|
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_512x1024_60k_cityscapes/cgnet_512x1024_60k_cityscapes_20201101_110254-124ea03b.pth
|