feat: dynamic Frigate score threshold from stored set minimum
At the start of each person's upload phase, compute the minimum stored Frigate recognition score across all currently mapped files. Use max(config_threshold, dynamic_min) as the effective gate threshold so new uploads must score at least as well as the weakest image already in the training set. Prevents overtraining well-recognised people: if all 80 images score ≥0.85, the dynamic threshold becomes ~0.85 and new additions that score below that are removed rather than diluting a good training set. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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+14
-5
@@ -21,6 +21,7 @@ from .quality import assess_quality
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from .upload_tracker import (
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get_frigate_filename_for_asset,
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get_lowest_quality_mapped_file,
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get_min_frigate_score,
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get_tracked_frigate_file_count,
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get_tracked_frigate_filenames,
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has_frigate_scores,
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@@ -359,6 +360,15 @@ def upload_to_frigate(jobs: list[dict]) -> None:
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effective_count = get_tracked_frigate_file_count(name)
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pre_run_count = effective_count
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quality_replacement = job.get("config", {}).get("quality_replacement", False)
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# Dynamic threshold: at least as strict as the weakest image already stored.
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# Takes whichever is higher — the configured floor or the current set minimum.
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_dynamic = get_min_frigate_score(name)
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effective_threshold = max(
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Config.FRIGATE_SCORE_THRESHOLD,
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_dynamic if _dynamic is not None else 0.0,
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)
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if _dynamic is not None and _dynamic > Config.FRIGATE_SCORE_THRESHOLD:
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logger.debug(f"{name}: dynamic Frigate score threshold {_dynamic:.3f}")
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actually_uploaded: list[tuple[str, str | None]] = []
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failed_deletes: set[str] = set()
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quality_gate_failed: set[str] = set()
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@@ -461,17 +471,16 @@ def upload_to_frigate(jobs: list[dict]) -> None:
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# Flag for post-reconcile removal if below threshold.
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# We don't know the Frigate filename yet — reconcile maps
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# it first, then we delete using the mapped name.
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threshold = Config.FRIGATE_SCORE_THRESHOLD
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if (
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threshold > 0
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effective_threshold > 0
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and pre_run_count > 0
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and post_fscore is not None
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and post_fscore < threshold
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and post_fscore < effective_threshold
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):
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quality_gate_failed.add(asset_id)
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progress.console.print(
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f" [yellow]⚠ {fname}: Frigate score {post_fscore:.2f}"
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f" < threshold {threshold:.2f}, will remove after mapping[/yellow]"
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f" < threshold {effective_threshold:.2f}, will remove after mapping[/yellow]"
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)
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break
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@@ -556,7 +565,7 @@ def upload_to_frigate(jobs: list[dict]) -> None:
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if removed:
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progress.console.print(
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f" [yellow]🗑 {name}: removed {removed} image(s) below"
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f" Frigate score threshold ({Config.FRIGATE_SCORE_THRESHOLD:.2f})[/yellow]"
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f" Frigate score threshold ({effective_threshold:.2f})[/yellow]"
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)
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# Per-person summary
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