forked from Dan4ick/Lidar_Muxa
Zhirik1337
a06a2f45bb
- Dockerfile на python:3.11-slim с libgomp1, непривилегированным пользователем и healthcheck; - docker-entrypoint.sh с поддержкой шорткатов test/benchmark/evaluate/pipeline; - docker-compose.yml с профилями тестирования, оценки и бенчмарка; - docs/DOCKER.md: руководство по сборке, запуску и монтированию томов; - requirements.txt: добавлен matplotlib для построения графиков.
91 lines
3 KiB
YAML
91 lines
3 KiB
YAML
services:
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# --------------------------------------------------------------------------
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# 1. Запуск набора тестов
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# docker compose run --rm test
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# --------------------------------------------------------------------------
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test:
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build:
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context: .
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dockerfile: Dockerfile
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image: flyguard:latest
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container_name: flyguard-test
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command: ["test"]
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volumes:
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- ./artifacts:/app/artifacts
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- ./data:/data:ro
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environment:
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- PYTHONUNBUFFERED=1
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- FLYGUARD_DATA=/data
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shm_size: '2gb'
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# --------------------------------------------------------------------------
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# 2. Оценка ложных тревог (leave-one-bag-out)
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# docker compose run --rm evaluate
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# --------------------------------------------------------------------------
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evaluate:
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image: flyguard:latest
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container_name: flyguard-evaluate
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command: ["evaluate", "--mbon-dir", "artifacts/mbon_folds"]
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volumes:
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- ./artifacts:/app/artifacts
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- ./data:/data:ro
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environment:
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- PYTHONUNBUFFERED=1
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- FLYGUARD_DATA=/data
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shm_size: '2gb'
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# --------------------------------------------------------------------------
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# 3. Полигон дальности обнаружения с аугментациями
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# docker compose run --rm benchmark
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# --------------------------------------------------------------------------
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benchmark:
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image: flyguard:latest
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container_name: flyguard-benchmark
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command: [
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"benchmark",
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"--memory", "artifacts/mushroom_body.npz",
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"--mbon-dir", "artifacts/mbon_folds",
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"--augment",
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"--out", "artifacts/benchmark.json"
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]
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volumes:
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- ./artifacts:/app/artifacts
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- ./data:/data:ro
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environment:
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- PYTHONUNBUFFERED=1
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- FLYGUARD_DATA=/data
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shm_size: '2gb'
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# --------------------------------------------------------------------------
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# 4. Прогон конвейера по бэгу
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# docker compose run --rm pipeline --bag /data/for_hackathon/doubleT_obstacle --verbose
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# --------------------------------------------------------------------------
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pipeline:
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image: flyguard:latest
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container_name: flyguard-pipeline
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command: ["pipeline", "--all", "--memory", "artifacts/mushroom_body.npz"]
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volumes:
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- ./artifacts:/app/artifacts
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- ./data:/data:ro
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environment:
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- PYTHONUNBUFFERED=1
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- FLYGUARD_DATA=/data
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shm_size: '2gb'
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# --------------------------------------------------------------------------
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# 5. Интерактивная оболочка
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# docker compose run --rm shell
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# --------------------------------------------------------------------------
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shell:
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image: flyguard:latest
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container_name: flyguard-shell
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command: ["bash"]
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volumes:
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- ./artifacts:/app/artifacts
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- ./data:/data:ro
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environment:
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- PYTHONUNBUFFERED=1
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- FLYGUARD_DATA=/data
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stdin_open: true
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tty: true
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shm_size: '2gb'
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