release: v0.3.3
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -7,6 +7,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
|
|||||||
|
|
||||||
## [Unreleased]
|
## [Unreleased]
|
||||||
|
|
||||||
|
## [0.3.3] - 2026-06-13
|
||||||
|
|
||||||
|
### Fixed
|
||||||
|
|
||||||
|
- **`MIN_FACE_WIDTH` default raised from 50 → 90px**: 50px crops produce 2,500–4,225 total pixels, well below Frigate's own camera capture range of 16k–50k px. 90px guarantees ≥8,100 total pixels even when face margins are fully clipped by image edges, keeping winnow training crops above the floor Frigate considers useful.
|
||||||
|
|
||||||
## [0.3.2] - 2026-06-13
|
## [0.3.2] - 2026-06-13
|
||||||
|
|
||||||
### Added
|
### Added
|
||||||
|
|||||||
+1
-1
@@ -1,6 +1,6 @@
|
|||||||
[project]
|
[project]
|
||||||
name = "winnow"
|
name = "winnow"
|
||||||
version = "0.3.2"
|
version = "0.3.3"
|
||||||
description = "Selects diverse, high-quality photos from Immich as training data for Frigate face recognition and object classification."
|
description = "Selects diverse, high-quality photos from Immich as training data for Frigate face recognition and object classification."
|
||||||
license = "AGPL-3.0-or-later"
|
license = "AGPL-3.0-or-later"
|
||||||
requires-python = ">=3.13"
|
requires-python = ">=3.13"
|
||||||
|
|||||||
Reference in New Issue
Block a user