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config: raise MIN_FACE_COUNT default from 0 to 3

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People with fewer than 3 tagged photos produce degenerate training sets
and rarely benefit from processing. Skip them by default.
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flan
2026-06-14 16:12:23 +00:00
parent 2dc26b5a3d
commit d0cb2e17b1
2 changed files with 3 additions and 3 deletions
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README.md
+1 -1
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@@ -191,7 +191,7 @@ In scheduled mode the process (and loaded models) stays resident between runs. T
| :--- | :--- | :--- | | :--- | :--- | :--- |
| `ONLY_PEOPLE` | *(unset)* | Comma-separated whitelist — process only these people | | `ONLY_PEOPLE` | *(unset)* | Comma-separated whitelist — process only these people |
| `SKIP_PEOPLE` | *(unset)* | Comma-separated list — skip these people | | `SKIP_PEOPLE` | *(unset)* | Comma-separated list — skip these people |
| `MIN_FACE_COUNT` | `0` | Skip people with fewer than N tagged assets in Immich | | `MIN_FACE_COUNT` | `3` | Skip people with fewer than N tagged assets in Immich |
| `MERGE_DUPLICATE_PEOPLE` | `false` | When Immich has duplicate entries for the same person (same face split across multiple names), merge their asset pools before processing. Without this, each duplicate group emits a warning and is skipped | | `MERGE_DUPLICATE_PEOPLE` | `false` | When Immich has duplicate entries for the same person (same face split across multiple names), merge their asset pools before processing. Without this, each duplicate group emits a warning and is skipped |
| `YEARS_FILTER` | `10` | Ignore images older than N years | | `YEARS_FILTER` | `10` | Ignore images older than N years |
winnow/config.py
+2 -2
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@@ -35,7 +35,7 @@ class _Config:
ENABLE_FRIGATE_SCORES: bool = True ENABLE_FRIGATE_SCORES: bool = True
# People filtering # People filtering
MIN_FACE_COUNT: int = 0 MIN_FACE_COUNT: int = 3
MERGE_DUPLICATE_PEOPLE: bool = False MERGE_DUPLICATE_PEOPLE: bool = False
# Output quality # Output quality
@@ -60,7 +60,7 @@ class _Config:
self.OUTPUT_DIR = os.getenv("OUTPUT_DIR", "./frigate_train") self.OUTPUT_DIR = os.getenv("OUTPUT_DIR", "./frigate_train")
self.YEARS_FILTER = int(os.getenv("YEARS_FILTER", "10")) self.YEARS_FILTER = int(os.getenv("YEARS_FILTER", "10"))
self.MIN_FACE_WIDTH = int(os.getenv("MIN_FACE_WIDTH", "90")) self.MIN_FACE_WIDTH = int(os.getenv("MIN_FACE_WIDTH", "90"))
self.MIN_FACE_COUNT = int(os.getenv("MIN_FACE_COUNT", "0")) self.MIN_FACE_COUNT = int(os.getenv("MIN_FACE_COUNT", "3"))
self.MERGE_DUPLICATE_PEOPLE = os.getenv("MERGE_DUPLICATE_PEOPLE", "false").lower() in ("true", "1", "yes") self.MERGE_DUPLICATE_PEOPLE = os.getenv("MERGE_DUPLICATE_PEOPLE", "false").lower() in ("true", "1", "yes")
self.BLUR_THRESHOLD = float(os.getenv("BLUR_THRESHOLD", "120.0")) self.BLUR_THRESHOLD = float(os.getenv("BLUR_THRESHOLD", "120.0"))
self.MIN_CONFIDENCE = float(os.getenv("MIN_CONFIDENCE", "0.7")) self.MIN_CONFIDENCE = float(os.getenv("MIN_CONFIDENCE", "0.7"))