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InferenceLogicMap.py
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28 lines (22 loc) · 1.2 KB
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MVP_Model3_Logic_Map = {
"0 Pax Predictor": [("CCTV Person Counter", False), (0, True)],
"CCTV Person Counter": [("D+LB vs D Predictor", False), ("D+FP+LB vs D+FP Predictor", False)],
"D+LB vs D Predictor": [(1, True), (2, True)],
"D+FP+LB vs D+FP Predictor": [(2, True), (3, True)]}
MVP_Model4_Logic_Map = {
"0 Pax Predictor": [("D+FP Predictor", False), (1, True)],
"D+FP Predictor": [("D+LB vs D Predictor", False), ("D+FP+LB vs D+FP Predictor", False)],
"D+LB vs D Predictor": [(1, True), (2, True)],
"D+FP+LB vs D+FP Predictor": [(2, True), (3, True)]}
MVP_Model5_Logic_Map = {
"0 Pax Predictor": [("D+FP Predictor", False), (1, True)],
"D+FP Predictor": [("D+LB vs D Predictor", False), ("CCTV Person Counter", False)],
"D+LB vs D Predictor": [(1, True), (2, True)],
"CCTV Person Counter": [(2, True), (3, True)]}
# Keys: All nodes, Values: model corresponding to the node name
ModelMapper = {
"0 Pax Predictor": "ZERO_PAX_PREDICTOR (V35)",
"CCTV Person Counter": "CCTV_MP_PERSON_PREDICTOR",
"D+LB vs D Predictor": "D+LB vs D Predictor (V32)",
"D+FP+LB vs D+FP Predictor": "D+FP+LB vs D+FP Predictor (V24)",
"D+FP Predictor": "D+FP Predictor (V20)"}