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eb4abb8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | # FocusGuard app and model config. Override with FOCUSGUARD_CONFIG env path if needed.
app:
db_path: "focus_guard.db"
inference_size: [640, 480]
inference_workers: 4
default_model: "mlp"
calibration_verify_target: [0.5, 0.5]
no_face_confidence_cap: 0.1
l2cs_boost:
base_weight: 0.35
l2cs_weight: 0.65
veto_threshold: 0.38
fused_threshold: 0.52
mlp:
model_name: "face_orientation"
epochs: 30
batch_size: 32
lr: 0.001
seed: 42
split_ratios: [0.7, 0.15, 0.15]
hidden_sizes: [64, 32]
xgboost:
n_estimators: 600
max_depth: 8
learning_rate: 0.1489
subsample: 0.9625
colsample_bytree: 0.9013
reg_alpha: 1.1407
reg_lambda: 2.4181
eval_metric: "logloss"
data:
split_ratios: [0.7, 0.15, 0.15]
clip:
yaw: [-45, 45]
pitch: [-30, 30]
roll: [-30, 30]
ear: [0, 0.85]
mar: [0, 1.0]
gaze_offset: [0, 0.50]
perclos: [0, 0.80]
blink_rate: [0, 30.0]
closure_duration: [0, 10.0]
yawn_duration: [0, 10.0]
pipeline:
geometric:
max_angle: 22.0
alpha: 0.7
beta: 0.3
threshold: 0.55
smoother:
alpha_up: 0.55
alpha_down: 0.45
grace_frames: 10
hybrid_defaults:
w_mlp: 0.3
w_geo: 0.7
threshold: 0.35
geo_face_weight: 0.7
geo_eye_weight: 0.3
mlp_threshold: 0.23
evaluation:
seed: 42
mlp_sklearn:
hidden_layer_sizes: [64, 32]
max_iter: 200
validation_fraction: 0.15
geo_weights:
face: 0.7
eye: 0.3
threshold_search:
alphas: [0.2, 0.85]
w_mlps: [0.3, 0.85]
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