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Copy pathdocker-compose.gpu.yml
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docker-compose.gpu.yml
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volumes:
mongodb_data:
external: false
networks:
cocoannotator:
external: false
services:
ia:
deploy:
resources:
reservations:
devices:
- driver: nvidia
device_ids: ['0']
capabilities: [gpu]
container_name: annotator_ia
build:
context: .
dockerfile: ./backend/ia/Dockerfile
ports:
- 6000:6000
volumes:
- "./backend/config:/workspace/config"
- "./backend/ia:/workspace/ia"
- "./backend/workers:/workspace/workers"
- "./backend/database:/workspace/database"
- "./datasets:/datasets"
- "./models:/models"
environment:
- FILE_WATCHER=true
- FLASK_APP=ia
- FLASK_ENV=development
- DEBUG=true
- DEVICE=cuda
# Install IA applications or not
- MASKRCNN="0"
- DEXTR="1"
- SAM="1"
- SAM2="1"
- ZIM="1"
- DETECTRON2="0"
- MASKFORMER="0"
# - SAM_MODEL_FILE=/models/sam_vit_b_01ec64.pth
- SAM_MODEL_FILE=/models/sam_hq_vit_b.pth
- SAM_MODEL_TYPE=vit_b
- SAM2_MODEL_FILE=/models/sam2.1_hiera_base_plus.pt
- SAM2_MODEL_CONFIG=configs/sam2.1/sam2.1_hiera_b+.yaml
- ZIM_MODEL_FILE=/models/zim/
- ZIM_MODEL_TYPE=vit_b
# - DETECTRON2_FILE=/models/quick_schedules/mask_rcnn_R_50_FPN_inference_acc_test.yaml
# - DETECTRON2_WEIGHTS=detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl
# - MASK_FORMER_FILE=/models/ade20k-150/maskformer_R50_bs16_160k.yaml
# - MASK_FORMER_WEIGHTS=https://dl.fbaipublicfiles.com/maskformer/semantic-ade20k/maskformer_R50_bs16_160k/model_final_d8dbeb.pkl
# - MASK_RCNN_FILE=/models/mask_rcnn_coco.h5
# # Default coco classes (order matters)
- |
MASK_RCNN_CLASSES=
BG,person,bicycle,car,motorcycle,airplane,
bus,train,truck,boat,traffic light,
fire hydrant,stop sign,parking meter,bench,bird,
cat,dog,horse,sheep,cow,elephant,bear,
zebra,giraffe,backpack,umbrella,handbag,tie,
suitcase,frisbee,skis,snowboard,sports ball,
kite,baseball bat,baseball glove,skateboard,
surfboard,tennis racket,bottle,wine glass,cup,
fork,knife,spoon,bowl,banana',apple,
sandwich,orange,broccoli,carrot,hot dog,pizza,
donut,cake,chair,couch,potted plant,bed,
dining table,toilet,tv,laptop,mouse,remote,
keyboard,cell phone,microwave,oven,toaster,
sink,refrigerator,book,clock,vase,scissors,
teddy bear,hair drier,toothbrush
networks:
- cocoannotator
depends_on:
- database
- workers
webserver:
image: annotator_webclient
container_name: annotator_webclient
restart: "no"
ports:
- "5000:5000"
environment:
- SECRET_KEY=RandomSecretKeyHere
- FILE_WATCHER=true
- TARGET_PROXY=http://annotator_ia:6000
- NAME=Test Annotator
volumes:
- "./datasets:/datasets"
- "./models:/models"
depends_on:
- database
- workers
networks:
- cocoannotator
workers:
container_name: annotator_workers
image: annotator_workers
volumes:
- "./datasets:/datasets"
depends_on:
- messageq
- database
networks:
- cocoannotator
database:
extends:
file: ./mongo_and_rabbitmq-compose.yml
service: database
messageq:
extends:
file: ./mongo_and_rabbitmq-compose.yml
service: messageq