chore: bump version to 0.4.2, update changelog
CUDA base image downgraded to 12.8.1 (driver 570 compatibility fix), benchmark script added. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -7,6 +7,16 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
|
||||
|
||||
## [Unreleased]
|
||||
|
||||
## [0.4.2] - 2026-06-13
|
||||
|
||||
### Changed
|
||||
|
||||
- **GPU image now uses CUDA 12.8.1** (was 13.3): CUDA 13.3 requires driver ≥ 575; driver 570 (the current stable release) was incorrectly rejected with "CUDA driver version is insufficient" at startup. The `:latest` image now works with any NVIDIA driver ≥ 570.
|
||||
|
||||
### Added
|
||||
|
||||
- **`scripts/benchmark.py`**: measures InsightFace and SigLIP inference latency and throughput across GPU and CPU modes. Run inside the container with `python /app/scripts/benchmark.py`. RTX 2070 SUPER results: InsightFace 12.8 ms / 78 img/s (8× CPU), SigLIP batch 32 at 5.4 ms/img / 187 img/s (33× CPU).
|
||||
|
||||
## [0.4.1] - 2026-06-13
|
||||
|
||||
### Fixed
|
||||
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "winnow"
|
||||
version = "0.4.1"
|
||||
version = "0.4.2"
|
||||
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"
|
||||
|
||||
Reference in New Issue
Block a user