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29 Commits
Author SHA1 Message Date
flanandClaude Sonnet 4.6 9598142997 release: v0.3.2
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 15:32:33 +00:00
flanandClaude Sonnet 4.6 82dbc8502a feat: merge crop-dimension-trace into dev
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 15:32:27 +00:00
flanandClaude Sonnet 4.6 6311227763 chore: regenerate uv.lock for 0.3.2 version bump
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 15:30:14 +00:00
flanandClaude Sonnet 4.6 19416cc7b8 feat: record crop pixel dimensions and add TRACE_CROP_SIZE lookup
Store (width, height) of each face crop in the tracker at upload time
alongside the existing blur score. Expose TRACE_CROP_SIZE=<px> to look
up which Immich asset produced a crop with that pixel dimension, making
it straightforward to trace unexpected or low-quality images visible in
Frigate back to their source.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 15:20:54 +00:00
flanandClaude Sonnet 4.6 80c5b563b2 Merge main: bump transformers lower bound to >=5.12.0 in variant files
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:54:02 +00:00
flanandClaude Sonnet 4.6 de1df19642 chore: bump transformers lower bound to >=5.12.0 in variant pyproject files
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:53:56 +00:00
github-actions[bot] 3ae6a86684 chore: update lockfiles 2026-06-13 14:53:14 +00:00
github-actions[bot] 621c310d5b chore: update lockfiles 2026-06-13 14:52:59 +00:00
flanandClaude Sonnet 4.6 467f258fa5 chore: bump transformers lower bound to >=5.12.0
Was >=4.57.6; installed version is 5.12.0. Prevents users from
accidentally resolving the old 4.x series.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:52:27 +00:00
flanandClaude Sonnet 4.6 36a5fb56b6 fix: revert ruff-action to v3 (v4 major tag does not exist)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:47:31 +00:00
flanandClaude Sonnet 4.6 f90af65cd2 fix: revert setup-uv to v7 (v8 major tag does not exist)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:45:02 +00:00
flanandClaude Sonnet 4.6 cd3fad8afe chore: bump astral-sh actions to latest major versions
ruff-action v3 → v4, setup-uv v7 → v8

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:42:43 +00:00
flanandClaude Sonnet 4.6 102827537e Merge dev: bump docker actions to Node.js 24-compatible versions
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:40:48 +00:00
flanandClaude Sonnet 4.6 aa12c79f9d chore: bump docker actions to Node.js 24-compatible versions
setup-qemu-action v3 → v4, build-push-action v6 → v7
Required before June 16 when Node.js 20 actions are forced to Node.js 24

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:40:37 +00:00
github-actions[bot] 0f6b17f76f chore: update lockfiles 2026-06-13 14:26:04 +00:00
github-actions[bot] c61e4dc698 chore: update lockfiles 2026-06-13 14:26:03 +00:00
flanandClaude Sonnet 4.6 18f3171667 Bump version to 0.3.1 and update CHANGELOG
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:25:30 +00:00
flanandClaude Sonnet 4.6 1fdb35727e Merge dev: fix CI lint, lockfile workflow, release disk exhaustion
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:24:51 +00:00
flanandClaude Sonnet 4.6 870560de1a Fix CI: lint line-length, lockfile detached HEAD, release disk exhaustion
- quality.py:122: split long tuple line to satisfy E501 (146 → ≤120)
- update-lockfile.yml: add branches filter so tag pushes don't trigger
  the workflow (tag checkout is detached HEAD; git push has no target)
- release.yml: split four Docker build steps into parallel jobs (build-gpu,
  build-cpu, build-rocm, build-intel), each with its own runner; previously
  all four ran in one job and exhausted disk after GPU+CPU builds, leaving
  ROCm and Intel cancelled

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 14:23:33 +00:00
github-actions[bot] b29b98fa29 chore: update lockfiles 2026-06-13 06:53:48 +00:00
github-actions[bot] 40c2a850bc chore: update lockfiles 2026-06-13 06:53:22 +00:00
flanandClaude Sonnet 4.6 2cee73fd6f Bump version to 0.3.0 and update CHANGELOG
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 06:52:38 +00:00
flanandClaude Sonnet 4.6 3da5f67c21 Fix four quality-replacement bugs found by code re-audit
C1/C4: Cap blur-score computation at 1440 px before calling assess_quality
so scores are always on the same Laplacian scale as the embedding path
(which operates on Immich preview thumbnails). Also converts the image to
RGB before scoring and stores 0.0 on assess_quality failure so files
uploaded without a score remain eligible for future quality replacement
instead of occupying a slot permanently.

C2: Fall back to the tracker's mapped-filename set as the pre-upload
baseline when the Frigate GET /api/faces endpoint is unreachable at upload
start. Previously, uploads that succeeded during a partial API outage were
never mapped in frigate_files, leaving get_tracked_frigate_file_count
permanently under-counting those files and allowing Frigate to exceed
MAX_AUTO_IMAGES over time.

C3: Track min_quality_score_for_slot when a quality-replacement delete
succeeds but the subsequent upload fails. This ensures the freed slot can
only be filled by a candidate that beats the deleted file's score, not just
the next file in iteration order (which could be lower quality than what
was deleted).

Add get_tracked_frigate_filenames() to upload_tracker and expand tracker
tests to cover the new function and exclude-parameter behaviour.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 06:52:38 +00:00
flanandClaude Sonnet 4.6 ac249e6242 Update README to reflect current pipeline and features
- Pipeline rewritten as 8 steps: separates thumbnail pass (quality filter +
  embeddings) from full-res download and crop; adds quality replacement
  logic at the upload step
- Persistence note updated to cover rejected IDs and RETRY_REJECTED
- Auto mode stopping threshold documented (20%/10% of median pairwise distance)
- Add OUTPUT_DIR env var (was undocumented)
- Local Install section notes interactive vs auto mode behaviour
- QUALITY_REPLACEMENT description tightened

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 06:52:38 +00:00
flanandClaude Sonnet 4.6 0e2915f564 Polish build flow and README formatting
- update-lockfile.yml: rename workflow to "Update lockfiles"
- release.yml: add explicit uv python install 3.13 for consistency with other workflows
- docker-publish.yml: rename cpu cache scope from linux/amd64-cpu to cpu (now multi-arch)
- README: add GitHub release version badge and License badge
- README: shorten QUALITY_REPLACEMENT table cell

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 06:52:38 +00:00
flanandClaude Sonnet 4.6 cf760df930 Fix build flow: lockfile bot, CPU multi-arch, paths-ignore, release guard
- update-lockfile.yml: regenerate all four lockfiles (main + cpu/rocm/intel
  variants) on any pyproject change; add variant pyproject files to trigger
- docker-publish.yml: add lockfiles to paths-ignore so the bot commit does
  not trigger a second Docker build; remove redundant CONTRIBUTING/SECURITY
  entries already covered by **.md; add QEMU to build-cpu; set CPU image to
  linux/amd64,linux/arm64 to match release
- release.yml: inline lockfile generation now covers all variants; add
  workflow_dispatch guard that fails if not dispatched from main

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 06:52:38 +00:00
flanandClaude Sonnet 4.6 7613fdcd5b Add OCI image labels, issue template config, paths-ignore, and metadata fixes
- Dockerfile: ARG VERSION + OCI labels (title, description, source, licenses, version)
- release.yml: pass VERSION build-arg to all four image builds
- docker-publish.yml: extend paths-ignore to cover community files
- .github/ISSUE_TEMPLATE/config.yml: disable blank issues, link to Discussions and wiki
- README.md: add Getting Help section
- pyproject.toml: expand description; add System Administrators audience classifier

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 06:52:38 +00:00
flanandClaude Sonnet 4.6 b786199a4f Add community scaffolding: CONTRIBUTING, SECURITY, issue templates, PR template
- CONTRIBUTING.md: dev-branch workflow, uv setup, test/lint commands
- SECURITY.md: private disclosure to holden@arch.fyi
- .github/ISSUE_TEMPLATE/bug_report.yml: structured form with image tag, versions, logs
- .github/ISSUE_TEMPLATE/feature_request.yml: problem/solution/alternatives form
- .github/PULL_REQUEST_TEMPLATE.md: checklist enforcing dev branch + passing CI
- pyproject.toml: add Changelog and Documentation URLs

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 06:52:38 +00:00
github-actions[bot] fd65157c25 chore: update uv.lock 2026-06-13 05:56:22 +00:00
17 changed files with 321 additions and 100 deletions
+6 -6
View File
@@ -53,7 +53,7 @@ jobs:
- name: Set up QEMU
if: matrix.platform == 'linux/arm64'
uses: docker/setup-qemu-action@v3
uses: docker/setup-qemu-action@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v4
@@ -67,7 +67,7 @@ jobs:
- name: Build and push by digest
id: build
uses: docker/build-push-action@v6
uses: docker/build-push-action@v7
with:
context: .
file: ./Dockerfile
@@ -164,7 +164,7 @@ jobs:
uses: actions/checkout@v6
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
uses: docker/setup-qemu-action@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v4
@@ -186,7 +186,7 @@ jobs:
fi
- name: Build and push CPU image
uses: docker/build-push-action@v6
uses: docker/build-push-action@v7
with:
context: .
file: ./Dockerfile
@@ -248,7 +248,7 @@ jobs:
fi
- name: Build and push ROCm image
uses: docker/build-push-action@v6
uses: docker/build-push-action@v7
with:
context: .
file: ./Dockerfile
@@ -310,7 +310,7 @@ jobs:
fi
- name: Build and push Intel image
uses: docker/build-push-action@v6
uses: docker/build-push-action@v7
with:
context: .
file: ./Dockerfile
+133 -20
View File
@@ -15,11 +15,13 @@ concurrency:
jobs:
release:
name: Create GitHub Release & Build Image
name: Create GitHub Release
runs-on: ubuntu-latest
permissions:
contents: write
packages: write
outputs:
tag: ${{ steps.tag.outputs.TAG }}
version: ${{ steps.tag.outputs.VERSION }}
steps:
- name: Free up disk space
run: |
@@ -60,12 +62,6 @@ jobs:
uv lock
rm _pyproject_orig.toml
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v4
- name: Resolve tag name
id: tag
run: |
@@ -131,6 +127,30 @@ jobs:
prerelease: false,
});
build-gpu:
name: Build GPU image
needs: release
runs-on: ubuntu-latest
permissions:
packages: write
steps:
- name: Free up disk space
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
echo "Disk space freed."
- name: Checkout
uses: actions/checkout@v6
- name: Set up QEMU
uses: docker/setup-qemu-action@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v4
- name: Log in to GHCR
uses: docker/login-action@v4
with:
@@ -139,21 +159,52 @@ jobs:
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and push GPU image (latest)
uses: docker/build-push-action@v6
uses: docker/build-push-action@v7
with:
context: .
file: ./Dockerfile
platforms: linux/amd64,linux/arm64
push: true
build-args: VERSION=${{ steps.tag.outputs.VERSION }}
build-args: VERSION=${{ needs.release.outputs.version }}
cache-from: type=gha,scope=release-gpu
cache-to: type=gha,mode=max,scope=release-gpu
tags: |
ghcr.io/sudolulo/winnow:latest
ghcr.io/sudolulo/winnow:${{ steps.tag.outputs.TAG }}
ghcr.io/sudolulo/winnow:${{ needs.release.outputs.tag }}
build-cpu:
name: Build CPU image
needs: release
runs-on: ubuntu-latest
permissions:
packages: write
steps:
- name: Free up disk space
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
echo "Disk space freed."
- name: Checkout
uses: actions/checkout@v6
- name: Set up QEMU
uses: docker/setup-qemu-action@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v4
- name: Log in to GHCR
uses: docker/login-action@v4
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and push CPU image
uses: docker/build-push-action@v6
uses: docker/build-push-action@v7
with:
context: .
file: ./Dockerfile
@@ -161,15 +212,46 @@ jobs:
push: true
build-args: |
VARIANT=cpu
VERSION=${{ steps.tag.outputs.VERSION }}
VERSION=${{ needs.release.outputs.version }}
cache-from: type=gha,scope=release-cpu
cache-to: type=gha,mode=max,scope=release-cpu
tags: |
ghcr.io/sudolulo/winnow:cpu
ghcr.io/sudolulo/winnow:${{ steps.tag.outputs.TAG }}-cpu
ghcr.io/sudolulo/winnow:${{ needs.release.outputs.tag }}-cpu
build-rocm:
name: Build ROCm image
needs: release
runs-on: ubuntu-latest
permissions:
packages: write
steps:
- name: Free up disk space
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
echo "Disk space freed."
- name: Checkout
uses: actions/checkout@v6
- name: Set up QEMU
uses: docker/setup-qemu-action@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v4
- name: Log in to GHCR
uses: docker/login-action@v4
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and push ROCm image
uses: docker/build-push-action@v6
uses: docker/build-push-action@v7
with:
context: .
file: ./Dockerfile
@@ -177,15 +259,46 @@ jobs:
push: true
build-args: |
VARIANT=rocm
VERSION=${{ steps.tag.outputs.VERSION }}
VERSION=${{ needs.release.outputs.version }}
cache-from: type=gha,scope=release-rocm
cache-to: type=gha,mode=max,scope=release-rocm
tags: |
ghcr.io/sudolulo/winnow:rocm
ghcr.io/sudolulo/winnow:${{ steps.tag.outputs.TAG }}-rocm
ghcr.io/sudolulo/winnow:${{ needs.release.outputs.tag }}-rocm
build-intel:
name: Build Intel image
needs: release
runs-on: ubuntu-latest
permissions:
packages: write
steps:
- name: Free up disk space
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
echo "Disk space freed."
- name: Checkout
uses: actions/checkout@v6
- name: Set up QEMU
uses: docker/setup-qemu-action@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v4
- name: Log in to GHCR
uses: docker/login-action@v4
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and push Intel image
uses: docker/build-push-action@v6
uses: docker/build-push-action@v7
with:
context: .
file: ./Dockerfile
@@ -193,9 +306,9 @@ jobs:
push: true
build-args: |
VARIANT=intel
VERSION=${{ steps.tag.outputs.VERSION }}
VERSION=${{ needs.release.outputs.version }}
cache-from: type=gha,scope=release-intel
cache-to: type=gha,mode=max,scope=release-intel
tags: |
ghcr.io/sudolulo/winnow:intel
ghcr.io/sudolulo/winnow:${{ steps.tag.outputs.TAG }}-intel
ghcr.io/sudolulo/winnow:${{ needs.release.outputs.tag }}-intel
+2
View File
@@ -3,6 +3,8 @@ name: Update lockfiles
on:
push:
branches:
- '**'
paths:
- 'pyproject.toml'
- 'pyproject-cpu.toml'
+14
View File
@@ -7,6 +7,20 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [Unreleased]
## [0.3.2] - 2026-06-13
### Added
- **Crop dimension tracing**: winnow now records the pixel dimensions (width × height) of each face crop at upload time in the tracker (`crop_dims` field). Run `TRACE_CROP_SIZE=3848 winnow` to look up which Immich asset produced a crop with that pixel dimension — output includes person name, asset ID, Immich URL, blur score, and the Frigate filename. Useful for tracing low-quality or unexpected images visible in Frigate back to their source.
## [0.3.1] - 2026-06-13
### Fixed
- **Lint**: split overly long line in `quality.py` (`E501`, 146 → ≤120 chars).
- **CI — lockfile update workflow**: added `branches: ['**']` filter to `on.push` so tag pushes no longer trigger the job; tag checkouts land in detached HEAD and the subsequent `git push` had no branch target.
- **CI — release workflow**: split four Docker image builds into parallel jobs (`build-gpu`, `build-cpu`, `build-rocm`, `build-intel`), each with its own runner. Previously all four ran in a single job; building the GPU and CPU multi-platform images exhausted disk, causing ROCm and Intel builds to be cancelled.
## [0.3.0] - 2026-06-13
### Added
+1 -1
View File
@@ -25,7 +25,7 @@ dependencies = [
"rich>=14.2.0",
"torch>=2.12.0",
"torchvision>=0.27.0",
"transformers>=4.57.6",
"transformers>=5.12.0",
"ultralytics>=8.4.66",
]
+1 -1
View File
@@ -25,7 +25,7 @@ dependencies = [
"rich>=14.2.0",
"torch>=2.12.0",
"torchvision>=0.27.0",
"transformers>=4.57.6",
"transformers>=5.12.0",
"ultralytics>=8.4.66",
]
+1 -1
View File
@@ -25,7 +25,7 @@ dependencies = [
"rich>=14.2.0",
"torch>=2.5.0",
"torchvision>=0.20.0",
"transformers>=4.57.6",
"transformers>=5.12.0",
"ultralytics>=8.4.66",
]
+2 -2
View File
@@ -1,6 +1,6 @@
[project]
name = "winnow"
version = "0.3.0"
version = "0.3.2"
description = "Selects diverse, high-quality photos from Immich as training data for Frigate face recognition and object classification."
license = "AGPL-3.0-or-later"
requires-python = ">=3.13"
@@ -29,7 +29,7 @@ dependencies = [
"rich>=14.2.0",
"torch>=2.12.0",
"torchvision>=0.27.0",
"transformers>=4.57.6",
"transformers>=5.12.0",
"ultralytics>=8.4.66",
]
+5 -5
View File
@@ -1724,7 +1724,7 @@ wheels = [
[[package]]
name = "transformers"
version = "5.11.0"
version = "5.12.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "huggingface-hub" },
@@ -1737,9 +1737,9 @@ dependencies = [
{ name = "tqdm" },
{ name = "typer" },
]
sdist = { url = "https://files.pythonhosted.org/packages/7d/4a/2ee05f9a06bb2dd34cac951548553738a826762fb7adfa7ce256daeaeac8/transformers-5.11.0.tar.gz", hash = "sha256:1dbecade5b8a09bdf3e9e8fdfc9d312cb9eccf5a201080dc894b373f0f3eb5f4", size = 8874363, upload-time = "2026-06-10T16:31:52.441Z" }
sdist = { url = "https://files.pythonhosted.org/packages/0c/f9/4552e2ba55db1c943aea0d4c09a32e9cbe5445b9eabe9856900de503dc8f/transformers-5.12.0.tar.gz", hash = "sha256:f0cf42ae1464c2eb41e7e0e66d7fd4b66145f48af17093b4cc0b2e9781faa7f4", size = 8923020, upload-time = "2026-06-12T14:39:20.43Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/9b/40/30fdefda9b8aff8d36054dbb37d8e1464cc1130c29623403c3c2147bdee1/transformers-5.11.0-py3-none-any.whl", hash = "sha256:06d0a34eab529955f8e704b530663c7d6bd6f9c7a9e47a05cddb4a44e7b6566b", size = 11094597, upload-time = "2026-06-10T16:31:49.08Z" },
{ url = "https://files.pythonhosted.org/packages/ff/1f/d385913c38e900d23b728a4188fee625f2fccb306aeebc59be9d91404a5a/transformers-5.12.0-py3-none-any.whl", hash = "sha256:500be9eb644ede81c3103eee7687fc36d05dd75d1c76686c3820b26396fe7c7c", size = 11150246, upload-time = "2026-06-12T14:39:17.009Z" },
]
[[package]]
@@ -1832,7 +1832,7 @@ wheels = [
[[package]]
name = "winnow"
version = "0.2.9"
version = "0.2.13"
source = { editable = "." }
dependencies = [
{ name = "croniter" },
@@ -1873,7 +1873,7 @@ requires-dist = [
{ name = "torch", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'", specifier = ">=2.12.0", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "platform_machine != 'x86_64' or sys_platform != 'linux'", specifier = ">=0.27.0" },
{ name = "torchvision", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'", specifier = ">=0.27.0", index = "https://download.pytorch.org/whl/cpu" },
{ name = "transformers", specifier = ">=4.57.6" },
{ name = "transformers", specifier = ">=5.12.0" },
{ name = "ultralytics", specifier = ">=8.4.66" },
]
+2 -2
View File
@@ -1889,7 +1889,7 @@ wheels = [
[[package]]
name = "winnow"
version = "0.2.11"
version = "0.2.13"
source = { editable = "." }
dependencies = [
{ name = "croniter" },
@@ -1930,7 +1930,7 @@ requires-dist = [
{ name = "torch", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'", specifier = ">=2.12.0", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "platform_machine != 'x86_64' or sys_platform != 'linux'", specifier = ">=0.27.0" },
{ name = "torchvision", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'", specifier = ">=0.27.0", index = "https://download.pytorch.org/whl/cpu" },
{ name = "transformers", specifier = ">=4.57.6" },
{ name = "transformers", specifier = ">=5.12.0" },
{ name = "ultralytics", specifier = ">=8.4.66" },
]
+47 -47
View File
@@ -409,7 +409,7 @@ wheels = [
[[package]]
name = "huggingface-hub"
version = "1.18.0"
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{ name = "huggingface-hub" },
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{ name = "tqdm" },
{ name = "typer" },
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@@ -1881,7 +1881,7 @@ wheels = [
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name = "winnow"
version = "0.2.11"
version = "0.2.13"
source = { editable = "." }
dependencies = [
{ name = "croniter" },
@@ -1922,7 +1922,7 @@ requires-dist = [
{ name = "torch", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'", specifier = ">=2.5.0", index = "https://download.pytorch.org/whl/rocm6.3" },
{ name = "torchvision", marker = "platform_machine != 'x86_64' or sys_platform != 'linux'", specifier = ">=0.20.0" },
{ name = "torchvision", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'", specifier = ">=0.20.0", index = "https://download.pytorch.org/whl/rocm6.3" },
{ name = "transformers", specifier = ">=4.57.6" },
{ name = "transformers", specifier = ">=5.12.0" },
{ name = "ultralytics", specifier = ">=8.4.66" },
]
Generated
+2 -2
View File
@@ -2348,7 +2348,7 @@ wheels = [
[[package]]
name = "winnow"
version = "0.2.13"
version = "0.3.2"
source = { editable = "." }
dependencies = [
{ name = "croniter" },
@@ -2403,7 +2403,7 @@ requires-dist = [
{ name = "torchvision", marker = "platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux'", specifier = ">=0.27.0" },
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{ name = "transformers", specifier = ">=5.12.0" },
{ name = "ultralytics", specifier = ">=8.4.66" },
]
+37 -1
View File
@@ -12,17 +12,53 @@ from .executor import execute_jobs, upload_to_frigate
from .immich_api import get_people
from .jobs import _show_preview, auto_configure, interactive_configure
from .log_config import console, setup_logging
from .upload_tracker import get_person_summary, reset_person
from .upload_tracker import find_by_crop_dimension, get_person_summary, reset_person
logger = logging.getLogger(__name__)
def _handle_trace_crop(size_str: str) -> None:
"""Print tracker records whose crop dimension matches the given pixel size and exit."""
try:
size = int(size_str)
except ValueError:
rprint(f"[bold red]TRACE_CROP_SIZE must be an integer, got: {size_str!r}[/bold red]")
sys.exit(1)
immich_url = os.environ.get("IMMICH_URL", "").rstrip("/")
matches = find_by_crop_dimension(size)
if not matches:
rprint(f"[yellow]No crops with dimension {size}px found in tracker.[/yellow]")
rprint("[dim]Note: crop dimensions are only recorded for uploads made after this feature was added.[/dim]")
sys.exit(0)
rprint(f"\n[bold]Crops matching dimension {size}px:[/bold] ({len(matches)} found)\n")
for m in matches:
rprint(f" [bold cyan]{m['person']}[/bold cyan]")
rprint(f" Dimensions: {m['width']}×{m['height']}px")
rprint(f" Asset ID: {m['asset_id']}")
if immich_url:
rprint(f" Immich URL: {immich_url}/photos/{m['asset_id']}")
blur = m.get("blur_score")
rprint(f" Blur score: {blur:.1f}" if blur is not None else " Blur score: unknown")
if m.get("frigate_filename"):
rprint(f" Frigate file: {m['frigate_filename']}")
else:
rprint(" Frigate file: [dim]unmapped (reconciliation race)[/dim]")
rprint()
sys.exit(0)
def main() -> None:
"""Entry point for winnow CLI."""
try:
verbose = os.environ.get("VERBOSE", "").lower() in ("true", "1", "yes")
setup_logging(verbose=verbose)
trace_size = os.environ.get("TRACE_CROP_SIZE", "").strip()
if trace_size:
_handle_trace_crop(trace_size)
console.print(r"""
[bold blue]winnow[/bold blue]
[dim]Immich -> Frigate Training Data Curator[/dim]
+12 -2
View File
@@ -170,9 +170,10 @@ def execute_jobs(jobs: list[dict]) -> None:
shutil.rmtree(person_dir)
os.makedirs(person_dir, exist_ok=True)
# Track filename → asset_id and filename → confidence score
# Track filename → asset_id, filename → confidence score, filename → crop dims
asset_map: dict[str, str] = {}
score_map: dict[str, float | None] = {}
dims_map: dict[str, tuple[int, int]] = {}
count = 0
for asset in assets:
@@ -208,6 +209,8 @@ def execute_jobs(jobs: list[dict]) -> None:
filename = f"{count}.jpg"
asset_map[filename] = asset["id"]
score_map[filename] = asset.get("quality_score")
if mode == "face" and isinstance(saved, tuple):
dims_map[filename] = saved
# Time-spread path: compute blur score from the downloaded
# image. Cap at 1440px so the scale matches the preview
# thumbnails the embedding path uses for scoring — Laplacian
@@ -244,6 +247,7 @@ def execute_jobs(jobs: list[dict]) -> None:
# Store maps on the job so upload_to_frigate can use them
job["asset_map"] = asset_map
job["score_map"] = score_map
job["dims_map"] = dims_map
progress.remove_task(job_task)
@@ -324,6 +328,7 @@ def upload_to_frigate(jobs: list[dict]) -> None:
asset_map = filename_to_asset_id.get(name, {})
score_map = job.get("score_map", {})
dims_map = job.get("dims_map", {})
person_files = sorted(asset_map.keys())
if not person_files:
@@ -424,7 +429,12 @@ def upload_to_frigate(jobs: list[dict]) -> None:
asset_id = asset_map.get(fname)
if asset_id:
mark_uploaded(asset_id, person_name=name, score=score_map.get(fname))
mark_uploaded(
asset_id,
person_name=name,
score=score_map.get(fname),
crop_dims=dims_map.get(fname),
)
actually_uploaded.append((fname, asset_id))
break
+6 -5
View File
@@ -69,9 +69,10 @@ def process_face_mode(
output_dir: str,
count: int,
min_width: int | None = None,
) -> bool:
) -> tuple[int, int] | None:
"""Crop face based on Immich metadata and save to output directory.
Returns (width, height) of the saved crop, or None if no crop was saved.
If face alignment is enabled and landmarks are available, produces
an aligned 112x112 crop. Otherwise falls back to bounding box crop
with configurable margin.
@@ -90,7 +91,7 @@ def process_face_mode(
if not face_info:
logger.debug(f"No face info for {person.get('name')} in asset {asset.get('id')}")
return False
return None
img_w, img_h = img.size
meta_w = face_info.get("imageWidth") or img_w
@@ -106,7 +107,7 @@ def process_face_mode(
face_w, face_h = x2 - x1, y2 - y1
if face_w < min_width or face_h < min_width:
logger.debug(f"Face too small ({face_w:.1f}x{face_h:.1f})")
return False
return None
# Try face alignment if enabled and landmarks available
if Config.ENABLE_FACE_ALIGNMENT:
@@ -117,7 +118,7 @@ def process_face_mode(
aligned = align_face(img, scaled_landmarks)
if aligned is not None:
_save_jpeg(aligned, os.path.join(output_dir, f"{count}.jpg"))
return True
return aligned.size
# Fall back to bounding box crop with configurable margin
margin = Config.FACE_MARGIN
@@ -131,7 +132,7 @@ def process_face_mode(
face_crop = img.crop(crop_box)
_save_jpeg(face_crop, os.path.join(output_dir, f"{count}.jpg"))
return True
return face_crop.size
def process_object_mode(
+4 -1
View File
@@ -119,7 +119,10 @@ def assess_quality(
blur_score = float(cv2.Laplacian(gray, cv2.CV_64F).var())
checks = [
(blur_score >= blur_threshold, f"Blurry (laplacian={blur_score:.1f}, threshold={blur_threshold})" if blur_score < blur_threshold else ""),
(
blur_score >= blur_threshold,
f"Blurry (laplacian={blur_score:.1f}, threshold={blur_threshold})" if blur_score < blur_threshold else "",
),
check_grayscale(img_np),
check_exposure(img_np),
check_confidence(confidence, min_confidence),
+46 -4
View File
@@ -14,6 +14,7 @@ by_person schema (frigate_uploaded_ids.json):
"asset_ids": ["immich-id-1", ...], # all assets we attempted to upload
"scores": {"immich-id-1": 450.3}, # Laplacian blur variance at upload time
"frigate_files": {"PersonName-123.webp": "immich-id-1"}, # Frigate filename → asset ID
"crop_dims": {"immich-id-1": [640, 480]}, # crop pixel dimensions at upload time
"frigate_count": 42 # last known Frigate training image count
}
@@ -76,14 +77,21 @@ def _get_ids(entry: list | dict) -> list[str]:
def _migrate_entry(entry: list | dict) -> dict:
"""Ensure by_person entry is in the current dict format."""
if isinstance(entry, list):
return {"asset_ids": sorted(entry), "scores": {}, "frigate_files": {}}
return {"asset_ids": sorted(entry), "scores": {}, "frigate_files": {}, "crop_dims": {}}
entry.setdefault("asset_ids", [])
entry.setdefault("scores", {})
entry.setdefault("frigate_files", {})
entry.setdefault("crop_dims", {})
return entry
def _mark(filename: str, asset_id: str, person_name: str | None, score: float | None = None) -> None:
def _mark(
filename: str,
asset_id: str,
person_name: str | None,
score: float | None = None,
crop_dims: tuple[int, int] | None = None,
) -> None:
data = _load(filename)
flat_key = _flat_key(filename)
flat = set(data.get(flat_key, []))
@@ -97,6 +105,8 @@ def _mark(filename: str, asset_id: str, person_name: str | None, score: float |
entry["asset_ids"] = sorted(ids)
if score is not None:
entry["scores"][asset_id] = round(score, 4)
if crop_dims is not None:
entry["crop_dims"][asset_id] = [crop_dims[0], crop_dims[1]]
by_person[person_name] = entry
_save(filename, data)
@@ -111,8 +121,13 @@ def load_rejected_ids() -> set[str]:
return _load_flat(REJECT_TRACKER_FILE)
def mark_uploaded(asset_id: str, person_name: str | None = None, score: float | None = None) -> None:
_mark(UPLOAD_TRACKER_FILE, asset_id, person_name, score=score)
def mark_uploaded(
asset_id: str,
person_name: str | None = None,
score: float | None = None,
crop_dims: tuple[int, int] | None = None,
) -> None:
_mark(UPLOAD_TRACKER_FILE, asset_id, person_name, score=score, crop_dims=crop_dims)
logger.debug(f"Marked {asset_id} as uploaded ({person_name})")
@@ -192,6 +207,33 @@ def get_lowest_quality_mapped_file(
return min(candidates, key=lambda x: x[2])
def find_by_crop_dimension(size: int) -> list[dict]:
"""Return all tracked crops whose width or height matches `size` pixels.
Returns a list of dicts: {person, asset_id, width, height, blur_score, frigate_filename}.
frigate_filename is None when the Frigate mapping was lost to a reconciliation race.
"""
data = _load(UPLOAD_TRACKER_FILE)
results = []
for person_name, raw_entry in data.get("by_person", {}).items():
entry = _migrate_entry(raw_entry)
scores = entry.get("scores", {})
frigate_files = entry.get("frigate_files", {})
asset_to_frigate = {v: k for k, v in frigate_files.items()}
for asset_id, dims in entry.get("crop_dims", {}).items():
w, h = dims[0], dims[1]
if w == size or h == size:
results.append({
"person": person_name,
"asset_id": asset_id,
"width": w,
"height": h,
"blur_score": scores.get(asset_id),
"frigate_filename": asset_to_frigate.get(asset_id),
})
return results
def update_frigate_count(person_name: str, count: int) -> None:
"""Record Frigate's authoritative training image count for a person."""
data = _load(UPLOAD_TRACKER_FILE)