flan
0602c4ac04
- diversity: cap k-medoids seed count at target so _cluster_aware_selection never returns more images than requested (violated MAX_AUTO_IMAGES when remaining capacity was 1-4 slots); add early return for limit=0 to prevent k-medoids from running with a zero budget; slice return to target as a final guard - executor: mark_rejected() when fetch_full_image returns None so assets that can't be fetched (both original and preview) aren't retried every run - executor: wrap mark_uploaded() in its own try/except so a SQLite disk-full error after a successful HTTP 200 doesn't retry the Frigate POST (duplicate upload) — the upload succeeded; only the tracker write failed - cli: apply skip_ids deduplication to the re-fetched people list after a partial merge (some groups succeed, some fail) so unmerged duplicates don't produce two jobs for the same Frigate folder - jobs: strip whitespace from SKIP_PEOPLE/ONLY_PEOPLE elements on split so "Alice, Bob" (space after comma) correctly matches "Bob"
103 lines
2.8 KiB
TOML
103 lines
2.8 KiB
TOML
[project]
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name = "winnow"
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version = "0.5.21"
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description = "Selects diverse, high-quality photos from Immich as training data for Frigate face recognition."
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license = "AGPL-3.0-or-later"
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requires-python = ">=3.13"
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authors = [{ name = "Holden Salomon", email = "holden@arch.fyi" }]
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keywords = ["immich", "frigate", "face-recognition", "training-data", "arcface", "insightface"]
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classifiers = [
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Developers",
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"Intended Audience :: System Administrators",
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"License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
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"Programming Language :: Python :: 3.13",
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"Topic :: Scientific/Engineering :: Image Recognition",
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]
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dependencies = [
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"croniter>=5.0.2",
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"insightface>=0.7.3",
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"numpy>=2.2.6",
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"opencv-python-headless>=4.12.0.88",
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"pillow>=12.1.0",
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"python-dotenv>=1.2.1",
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"requests>=2.32.5",
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"rich>=14.2.0",
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]
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[project.optional-dependencies]
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gpu = [
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"onnxruntime-gpu>=1.23.2; sys_platform == 'linux' and platform_machine == 'x86_64'",
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"nvidia-cudnn-cu12>=9.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
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]
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rocm = ["onnxruntime-rocm>=1.16.0; sys_platform == 'linux' and platform_machine == 'x86_64'"]
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intel = ["onnxruntime-openvino>=1.20.0; sys_platform == 'linux' and platform_machine == 'x86_64'"]
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cpu = ["onnxruntime>=1.23.2"]
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[project.scripts]
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winnow = "winnow.cli:main"
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[project.urls]
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Repository = "https://github.com/sudolulo/winnow"
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Changelog = "https://github.com/sudolulo/winnow/blob/main/CHANGELOG.md"
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Documentation = "https://github.com/sudolulo/winnow/wiki"
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[tool.uv]
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index-strategy = "unsafe-best-match"
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conflicts = [
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[
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{ extra = "gpu" },
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{ extra = "rocm" },
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{ extra = "intel" },
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{ extra = "cpu" },
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],
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]
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required-environments = [
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"sys_platform == 'linux' and platform_machine == 'x86_64'",
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"sys_platform == 'linux' and platform_machine == 'aarch64'",
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]
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[dependency-groups]
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dev = [
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"pytest>=8.0",
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"ruff>=0.15.17",
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]
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[tool.hatch.build.targets.wheel]
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packages = ["winnow"]
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[tool.ruff]
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line-length = 120
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target-version = "py313"
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[tool.ruff.lint]
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select = ["E", "F", "I"]
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[tool.deptry]
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pep621_dev_dependency_groups = ["dev"]
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[tool.deptry.package_module_name_map]
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pillow = "PIL"
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opencv-python-headless = "cv2"
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python-dotenv = "dotenv"
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insightface = "insightface"
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numpy = "numpy"
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nvidia-cudnn-cu12 = "nvidia.cudnn"
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onnxruntime-gpu = "onnxruntime"
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onnxruntime-rocm = "onnxruntime"
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onnxruntime-openvino = "onnxruntime"
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onnxruntime = "onnxruntime"
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requests = "requests"
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rich = "rich"
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[tool.deptry.per_rule_ignores]
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DEP002 = ["onnxruntime-gpu", "nvidia-cudnn-cu12", "onnxruntime-rocm", "onnxruntime-openvino", "onnxruntime"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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