asreva
dc59b8affb
- New filesystem.py: make_fs() factory (returns s3fs.S3FileSystem or None),
plus fsjoin/fsstem/fsname path helpers
- config.py: storage field is now required ('local' or 's3'); load_config
raises a clear ValueError when it is missing
- video_loader, clip_selector, annotator: thread fs through all file I/O;
local paths unchanged, S3 paths use fs.open/fs.exists/fs.pipe
- annotation_script: load .env via python-dotenv at startup, create fs from
config and pass to Annotator
- Add .env.example with SwitchEngines endpoint and AWS checksum env vars
- pyproject.toml: add s3fs and python-dotenv dependencies
- Reduce default mask alpha from 40% to 15%
- Update example clip names to colon-separated timestamps
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
50 lines
1.0 KiB
TOML
50 lines
1.0 KiB
TOML
[build-system]
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requires = ["setuptools>=61.0.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "river_annotation_tool"
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authors = [
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# TODO configure authors
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# { name = "Jane Smith", email = "jane.smith@example.com" },
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# { name = "John Doe", email = "john.doe@example.com" },
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]
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description = ""
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readme = "README.md"
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requires-python = "~=3.12.0"
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dependencies = [
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"opencv-contrib-python-headless==4.12.0.88",
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"pandas>=2.3.3",
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"matplotlib>=3.10.8",
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"matplotlib-inline>=0.2.1",
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"pillow>=12.2.0",
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"pyside6>=6.11.0",
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"python-dotenv>=1.0",
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"pyyaml>=6.0",
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"s3fs>=2024.0",
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]
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dynamic = ["version"]
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[dependency-groups]
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dev = [
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"notebook~=7.5",
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"pre-commit~=4.5",
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"ruff==0.15.0",
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]
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[tool.setuptools.dynamic]
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version = {attr = "river_annotation_tool.__version__"}
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[tool.ruff]
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target-version = "py312"
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line-length = 88
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[tool.ruff.lint]
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extend-select = ["B", "I", "RUF1", "UP", "W"]
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[tool.ruff.lint.isort]
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lines-after-imports = 2
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[tool.ruff.lint.per-file-ignores]
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"__init__.py" = ["F401"]
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