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| class GazeEstimationSelector:
"""
IMS 视线估计模型选型指南
基于 2026 前沿论文的技术选型矩阵
"""
SELECTION_MATRIX = {
('distraction_detection', 'edge'): {
'method': 'SGAP-Gaze (轻量级)',
'reason': '网格注意力+像素级注视点，边缘友好',
'accuracy': '像素级',
'latency': '<10ms (INT8 NPU)',
},
('distraction_detection', 'high_acc'): {
'method': 'TransGaze-Object',
'reason': '物体级预测最精确，但需Transformer',
'accuracy': '物体级',
'latency': '<30ms (需优化)',
},
('cognitive_load', 'edge'): {
'method': 'EraW-Net (场景关联)',
'reason': '视线-场景关联可推断认知负荷',
'accuracy': '区域级',
'latency': '<15ms',
},
('large_motion', 'edge'): {
'method': 'DHECA-SuperGaze',
'reason': '大角度头部运动鲁棒',
'accuracy': '角度级',
'latency': '<20ms (需去SR)',
},
('night_adverse', 'edge'): {
'method': 'LISA (干扰感知)',
'reason': '语言引导+干扰抑制，适合夜间/逆光',
'accuracy': '角度级',
'latency': '<15ms',
},
}
def select(self, function: str, constraint: str = 'edge') -> dict:
key = (function, constraint)
result = self.SELECTION_MATRIX.get(key)
if not result:
return {'error': f'No match for {function}/{constraint}'}
return result
if __name__ == "__main__":
selector = GazeEstimationSelector()
scenarios = [
('distraction_detection', 'edge'),
('distraction_detection', 'high_acc'),
('cognitive_load', 'edge'),
('night_adverse', 'edge'),
]
for func, constraint in scenarios:
r = selector.select(func, constraint)
print(f"\n{func} ({constraint}):")
print(f" 方案: {r['method']}")
print(f" 精度: {r['accuracy']}")
print(f" 延迟: {r['latency']}")
|
