import dlib
import cv₂ as cv
import numpy as np
# 加载人脸检测器与特征点标注器
detector = dlib.get_frontal_face_detector
predictor = dlib.shape_predictor
def detect_action:
    gray = cv.cvtColor
    # 多尺度人脸搜索策略提高复杂环境适应性
    small_gray = cv.resize)
    # 支持多尺度搜索确保各种距离下的面部者阝嫩被准确捕捉
    detections = detector
    if len == ₀:
        return None
    landmarks_list = 
    for k in range):
        landmark = predictor
        landmarks_list.append for p in landmark.parts])
    return {
        'landmarks': landmarks_list,
        'face_count': len,
        'confidence': max
    }
}
2. 状态机模式下的动作序列验证逻辑剖析

python:no-highlight
class ActionSequenceValidator:
    def __init__:
        self.state_transitions = {
            'idle': ,
            'blink_sequence': ,
            'mouth_sequence': 
        }
        self.action_counters = {
            'blink_success': ₀,
            'mouth_success': ₀,
            'invalid_actions': ₀