package face import ( "github.com/photoprism/photoprism/internal/crop" ) var CropSize = crop.Sizes[crop.Tile160] // Face image crop size for FaceNet. var OverlapThreshold = 42 // Face area overlap threshold in percent. var OverlapThresholdFloor = OverlapThreshold - 1 // Reduced overlap area to avoid rounding inconsistencies. var ScoreThreshold = 9.0 // Min face score. var ClusterScoreThreshold = 15 // Min score for faces forming a cluster. var SizeThreshold = 50 // Min face size in pixels. var ClusterSizeThreshold = 80 // Min size for faces forming a cluster in pixels. var ClusterDist = 0.64 // Similarity distance threshold of faces forming a cluster core. var MatchDist = 0.46 // Distance offset threshold for matching new faces with clusters. var ClusterCore = 4 // Min number of faces forming a cluster core. var SampleThreshold = 2 * ClusterCore // Threshold for automatic clustering to start. // QualityThreshold returns the scale adjusted quality score threshold. func QualityThreshold(scale int) (score float32) { score = float32(ScoreThreshold) // Smaller faces require higher quality. switch { case scale < 26: score += 26.0 case scale < 32: score += 16.0 case scale < 40: score += 11.0 case scale < 50: score += 9.0 case scale < 80: score += 6.0 case scale < 110: score += 2.0 } return score }