jeonghyo.k
3946ff6a25
- 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
126 lines
4.0 KiB
YAML
126 lines
4.0 KiB
YAML
Collections:
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- Name: Segmenter
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Metadata:
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Training Data:
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- ADE20K
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Paper:
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URL: https://arxiv.org/abs/2105.05633
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Title: 'Segmenter: Transformer for Semantic Segmentation'
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README: configs/segmenter/README.md
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Code:
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URL: https://github.com/open-mmlab/mmsegmentation/blob/v0.21.0/mmseg/models/decode_heads/segmenter_mask_head.py#L15
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Version: v0.21.0
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Converted From:
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Code: https://github.com/rstrudel/segmenter
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Models:
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- Name: segmenter_vit-t_mask_8x1_512x512_160k_ade20k
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In Collection: Segmenter
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Metadata:
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backbone: ViT-T_16
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crop size: (512,512)
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lr schd: 160000
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inference time (ms/im):
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- value: 35.74
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (512,512)
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Training Memory (GB): 1.21
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 39.99
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mIoU(ms+flip): 40.83
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Config: configs/segmenter/segmenter_vit-t_mask_8x1_512x512_160k_ade20k.py
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/segmenter/segmenter_vit-t_mask_8x1_512x512_160k_ade20k/segmenter_vit-t_mask_8x1_512x512_160k_ade20k_20220105_151706-ffcf7509.pth
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- Name: segmenter_vit-s_linear_8x1_512x512_160k_ade20k
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In Collection: Segmenter
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Metadata:
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backbone: ViT-S_16
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crop size: (512,512)
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lr schd: 160000
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inference time (ms/im):
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- value: 35.63
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (512,512)
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Training Memory (GB): 1.78
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 45.75
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mIoU(ms+flip): 46.82
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Config: configs/segmenter/segmenter_vit-s_linear_8x1_512x512_160k_ade20k.py
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/segmenter/segmenter_vit-s_linear_8x1_512x512_160k_ade20k/segmenter_vit-s_linear_8x1_512x512_160k_ade20k_20220105_151713-39658c46.pth
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- Name: segmenter_vit-s_mask_8x1_512x512_160k_ade20k
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In Collection: Segmenter
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Metadata:
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backbone: ViT-S_16
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crop size: (512,512)
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lr schd: 160000
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inference time (ms/im):
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- value: 40.32
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (512,512)
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Training Memory (GB): 2.03
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 46.19
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mIoU(ms+flip): 47.85
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Config: configs/segmenter/segmenter_vit-s_mask_8x1_512x512_160k_ade20k.py
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/segmenter/segmenter_vit-s_mask_8x1_512x512_160k_ade20k/segmenter_vit-s_mask_8x1_512x512_160k_ade20k_20220105_151706-511bb103.pth
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- Name: segmenter_vit-b_mask_8x1_512x512_160k_ade20k
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In Collection: Segmenter
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Metadata:
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backbone: ViT-B_16
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crop size: (512,512)
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lr schd: 160000
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inference time (ms/im):
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- value: 75.76
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (512,512)
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Training Memory (GB): 4.2
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 49.6
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mIoU(ms+flip): 51.07
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Config: configs/segmenter/segmenter_vit-b_mask_8x1_512x512_160k_ade20k.py
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/segmenter/segmenter_vit-b_mask_8x1_512x512_160k_ade20k/segmenter_vit-b_mask_8x1_512x512_160k_ade20k_20220105_151706-bc533b08.pth
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- Name: segmenter_vit-l_mask_8x1_640x640_160k_ade20k
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In Collection: Segmenter
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Metadata:
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backbone: ViT-L_16
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crop size: (640,640)
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lr schd: 160000
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inference time (ms/im):
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- value: 330.03
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (640,640)
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Training Memory (GB): 16.99
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 51.65
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mIoU(ms+flip): 53.58
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Config: configs/segmenter/segmenter_vit-l_mask_8x1_640x640_160k_ade20k.py
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/segmenter/segmenter_vit-l_mask_8x1_640x640_160k_ade20k/segmenter_vit-l_mask_8x1_640x640_160k_ade20k_20220614_024513-4783a347.pth
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