Chengfang Lu
e72bc061c5
Major changes: - New frontend (platform/web/): Vite + React 18 + TypeScript + Tailwind - 4-module navigation: 数据送标 / 模型管理 / 车队管理 / 系统管理 - Data catalog with charts (DMS/ADAS/Lane 3-tab view) - Quality review workflow (标注质检): Good/Fine/Bad scoring with auto-advance - Audit enhancements: batch operations, rejection categories, Feishu notifications - Operation audit log (操作日志) - World model simulation studio (仿真工坊) - Dataset version management with snapshots and diff - ADAS 7-class dataset integration (138K images organized + compressed) - User management with Feishu integration and pagination - CRUD/search/filter on all pages, card layout redesign - PIL-optimized image overlay rendering - Auto-snapshot on build, in_review workflow stage - Removed embedded algorithm code (now in workspace)
28 lines
1.5 KiB
Plaintext
28 lines
1.5 KiB
Plaintext
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Builds ultralytics/ultralytics:latest-jupyter image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Image provides JupyterLab interface for interactive YOLO development and includes tutorial notebooks
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# Start from Python-based Ultralytics image for full Python environment
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FROM ultralytics/ultralytics:latest-python
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# Install JupyterLab for interactive development
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RUN uv pip install --system jupyterlab && \
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# Create persistent data directory structure
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mkdir -p /data/{datasets,weights,runs} && \
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# Configure YOLO directories
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yolo settings datasets_dir="/data/datasets" weights_dir="/data/weights" runs_dir="/data/runs" && \
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rm -rf tmp /root/.config/Ultralytics/persistent_cache.json
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# Start JupyterLab with tutorial notebook
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ENTRYPOINT ["/usr/local/bin/jupyter", "lab", "--allow-root", "--ip=0.0.0.0", "/ultralytics/examples/tutorial.ipynb"]
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# Usage --------------------------------------------------------------------------------------------------------------
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# Production builds: https://github.com/ultralytics/ultralytics/blob/main/.github/workflows/docker.yml
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# Example (build): t=ultralytics/ultralytics:latest-jupyter && docker build -f docker/Dockerfile-jupyter -t $t .
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# Example (push): docker push $t
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# Example (pull): t=ultralytics/ultralytics:latest-jupyter && docker pull $t
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# Example (run): docker run -it --ipc=host -p 8888:8888 $t
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# Example (run-with-volume): docker run -it --ipc=host -p 8888:8888 -v "$PWD/datasets:/data/datasets" $t
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