chore: sync variant pyproject files with main after object pipeline removal

Remove torch/torchvision/transformers/ultralytics from all three variant
pyproject files (rocm/cpu/intel) — no longer needed since SigLIP and YOLO
were removed in v0.4.10. Update version to 0.4.10 and description.

NOTE: uv-rocm.lock, uv-cpu.lock, uv-intel.lock are now stale and must be
regenerated in their respective platform environments before the next Docker
build of those variants.

Also fix fetch_face_data() docstring to not mention embedding (removed field).
This commit is contained in:
2026-06-14 17:51:26 +00:00
parent 0ef15c5c12
commit 0192b6cb5b
4 changed files with 10 additions and 66 deletions
+3 -22
View File
@@ -1,7 +1,7 @@
[project]
name = "winnow"
version = "0.2.13"
description = "Immich to Frigate training sets"
version = "0.4.10"
description = "Selects diverse, high-quality photos from Immich as training data for Frigate face recognition."
license = "AGPL-3.0-or-later"
requires-python = ">=3.13"
authors = [{ name = "Holden Salomon", email = "holden@arch.fyi" }]
@@ -23,10 +23,6 @@ dependencies = [
"python-dotenv>=1.2.1",
"requests>=2.32.5",
"rich>=14.2.0",
"torch>=2.12.0",
"torchvision>=0.27.0",
"transformers>=5.12.0",
"ultralytics>=8.4.66",
]
[project.scripts]
@@ -34,25 +30,13 @@ winnow = "winnow.cli:main"
[project.urls]
Repository = "https://github.com/sudolulo/winnow"
Changelog = "https://github.com/sudolulo/winnow/blob/main/CHANGELOG.md"
[tool.uv]
required-environments = [
"sys_platform == 'linux' and platform_machine == 'x86_64'",
]
[tool.uv.sources]
torch = [
{ index = "pytorch-cpu", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
]
torchvision = [
{ index = "pytorch-cpu", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
]
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
[dependency-groups]
dev = [
"pytest>=8.0",
@@ -81,9 +65,6 @@ numpy = "numpy"
onnxruntime = "onnxruntime"
requests = "requests"
rich = "rich"
torch = "torch"
transformers = "transformers"
ultralytics = "ultralytics"
[tool.pytest.ini_options]
testpaths = ["tests"]
+3 -22
View File
@@ -1,7 +1,7 @@
[project]
name = "winnow"
version = "0.2.13"
description = "Immich to Frigate training sets"
version = "0.4.10"
description = "Selects diverse, high-quality photos from Immich as training data for Frigate face recognition."
license = "AGPL-3.0-or-later"
requires-python = ">=3.13"
authors = [{ name = "Holden Salomon", email = "holden@arch.fyi" }]
@@ -23,10 +23,6 @@ dependencies = [
"python-dotenv>=1.2.1",
"requests>=2.32.5",
"rich>=14.2.0",
"torch>=2.12.0",
"torchvision>=0.27.0",
"transformers>=5.12.0",
"ultralytics>=8.4.66",
]
[project.scripts]
@@ -34,6 +30,7 @@ winnow = "winnow.cli:main"
[project.urls]
Repository = "https://github.com/sudolulo/winnow"
Changelog = "https://github.com/sudolulo/winnow/blob/main/CHANGELOG.md"
[tool.uv]
conflicts = [
@@ -47,19 +44,6 @@ required-environments = [
"sys_platform == 'linux' and platform_machine == 'x86_64'",
]
[tool.uv.sources]
torch = [
{ index = "pytorch-cpu", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
]
torchvision = [
{ index = "pytorch-cpu", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
]
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
[dependency-groups]
dev = [
"pytest>=8.0",
@@ -88,9 +72,6 @@ numpy = "numpy"
onnxruntime-openvino = "onnxruntime"
requests = "requests"
rich = "rich"
torch = "torch"
transformers = "transformers"
ultralytics = "ultralytics"
[tool.deptry.per_rule_ignores]
DEP002 = ["onnxruntime-openvino"]
+3 -21
View File
@@ -1,7 +1,7 @@
[project]
name = "winnow"
version = "0.2.13"
description = "Immich to Frigate training sets"
version = "0.4.10"
description = "Selects diverse, high-quality photos from Immich as training data for Frigate face recognition."
license = "AGPL-3.0-or-later"
requires-python = ">=3.13"
authors = [{ name = "Holden Salomon", email = "holden@arch.fyi" }]
@@ -23,10 +23,6 @@ dependencies = [
"python-dotenv>=1.2.1",
"requests>=2.32.5",
"rich>=14.2.0",
"torch>=2.5.0",
"torchvision>=0.20.0",
"transformers>=5.12.0",
"ultralytics>=8.4.66",
]
[project.scripts]
@@ -34,6 +30,7 @@ winnow = "winnow.cli:main"
[project.urls]
Repository = "https://github.com/sudolulo/winnow"
Changelog = "https://github.com/sudolulo/winnow/blob/main/CHANGELOG.md"
[tool.uv]
index-strategy = "unsafe-best-match"
@@ -48,18 +45,6 @@ required-environments = [
"sys_platform == 'linux' and platform_machine == 'x86_64'",
]
[tool.uv.sources]
torch = [
{ index = "pytorch-rocm63", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
]
torchvision = [
{ index = "pytorch-rocm63", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
]
[[tool.uv.index]]
name = "pytorch-rocm63"
url = "https://download.pytorch.org/whl/rocm6.3"
[dependency-groups]
dev = [
"pytest>=8.0",
@@ -88,9 +73,6 @@ numpy = "numpy"
onnxruntime-rocm = "onnxruntime"
requests = "requests"
rich = "rich"
torch = "torch"
transformers = "transformers"
ultralytics = "ultralytics"
[tool.deptry.per_rule_ignores]
DEP002 = ["onnxruntime-rocm"]
+1 -1
View File
@@ -108,7 +108,7 @@ def fetch_all_assets(person: dict) -> list[dict]:
def fetch_face_data(asset_id: str, person_id: str | None = None) -> FaceData | None:
"""Fetch pre-computed face data (embedding, bbox, confidence) from Immich.
"""Fetch pre-computed face data (bbox, confidence) from Immich.
Queries GET /api/faces?id={asset_id} to retrieve face detection results
that Immich already computed using InsightFace Buffalo_L.