faceReg:
    sim_threshold: 0.7

# brightness of image B:  v1<= B <=v2 is high, v0<= B < v1 or v2 < B <= v3 is middle, B < v0 or B > v3 is low.
# we just accept high brightness.
brightness:
    v0: 69.0
    v1: 70.0
    v2: 230.0
    v3: 231.0

# min resolution of face box, if w or h is smaller, abort this image. 
resolution:
    height: 112
    width: 112

# evaluate pose. 
# Retrieve the angles yaw and pitch of the face, if the condition: abs(yaw) <= yaw_thrd and abs(pitch) <= pitch_thrd is satisfied, then return 'front face'(true); 
# otherwise, raise an error: 
    # elif yaw < -1.0 * yaw_thrd:
    #     return "rightFace" 
    # elif yaw > yaw_thrd:
    #     return "leftFace"
    # elif pitch > pitch_thrd:
    #     return "upFace"
    # elif pitch < -1.0 * pitch_thrd:
    #     return "downFace"
pose:
    yaw_thrd: 30.0
    pitch_thrd: 25.0
    var_onnx_path: ./checkpoints/fsanet-var.onnx
    conv_onnx_path: ./checkpoints/fsanet-conv.onnx

# evaluate Clarity of image.
    # if clarity < self.low_thresh:
    #     level = "LOW"
    # elif self.low_thresh <= clarity < self.high_thresh:
    #     level = "MEDIUM"
    # else:
    #     level = "HIGH"
    # return level != 'LOW' 
clarity:
    low_thrd: 0.10
    high_thrd: 0.20

ck_paths:
    landmk1: ./checkpoints/face_landmarker_pts5_net1.onnx
    landmk2: ./checkpoints/face_landmarker_pts5_net2.onnx
    num_threads: 4
    FcReg: ./checkpoints/face_recognizer.onnx
    FcBx: ./checkpoints/faceboxesv2-640x640.onnx
    rotifer: ./checkpoints/model_gray_mobilenetv2_rotcls.onnx