},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "dense_3/Softmax",
+ "name" : ["dense_3/Softmax"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.3,
"score_type" : "NORMAL"
}
- ]
}
}
```
The `outputmetadata` includes
`score` which has information of postprocess to get score such as
-- `name`: name to an output tensor for score
+- `name`: names to output tensors for score
- `index`: index to get score from the output tensor
- `top_number`: the top number of outputs
- `threshold` : threshold to cut ouputs under the `threshold` value
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "MobilenetV1/Predictions/Reshape_1",
+ "name" : ["MobilenetV1/Predictions/Reshape_1"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.3,
}
]
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "classificators",
+ "name" : ["classificators"],
"index" : [-1, -1, 1],
"top_number" : 5,
"threshold" : 0.3,
"score_type" : "SIGMOID"
- }
- ],
- "box" : [
+ },
+ "box" :
{
- "name" : "regressors",
+ "name" : ["regressors"],
"index" : [-1, -1, 1],
"box_type" : "ORIGIN_CENTER",
"box_order" : [1, 0, 3, 2],
}
}
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "TFLite_Detection_PostProcess:2",
+ "name" : ["TFLite_Detection_PostProcess:2"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.3,
"score_type" : "NORMAL"
- }
- ],
- "box" : [
+ },
+ "box" :
{
- "name" : "TFLite_Detection_PostProcess",
+ "name" : ["TFLite_Detection_PostProcess"],
"index" : [-1, -1, 1],
"box_type" : "ORIGIN_LEFTTOP",
"box_order" : [1, 0, 3, 2],
"box_coordinate" : "RATIO",
"decoding_type": "BYPASS"
- }
- ],
+ },
"label" : [
{
"name" : "TFLite_Detection_PostProcess:1",
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "conv2d_30",
+ "name" : ["conv2d_30"],
"index" : [-1, -1, -1, 1],
"top_number" : 1,
"threshold" : 0.3,
"score_type" : "SIGMOID"
- }
- ],
+ },
"landmark" : [
{
"name" : "conv2d_20",
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "fanet8ss_inference/fully_connected_1/Sigmoid",
+ "name" : ["fanet8ss_inference/fully_connected_1/Sigmoid"],
"index" : [-1, -1, -1, -1],
"top_number" : 1,
"threshold" : 0.0,
"score_type" : "NORMAL"
- }
- ],
+ },
"landmark" : [
{
"name" : "fanet8ss_inference/fully_connected_1/Sigmoid",
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "softmax_tensor",
+ "name" : ["softmax_tensor"],
"index" : [-1, 1],
"top_number" : 5,
- "threshold" : 0.6,
+ "threshold" : 0.0,
"score_type" : "NORMAL"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "InceptionResnetV2/AuxLogits/Logits/BiasAdd",
+ "name" : ["InceptionResnetV2/AuxLogits/Logits/BiasAdd"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.6,
"score_type" : "SIGMOID"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "InceptionV3/Predictions/Reshape_1",
+ "name" : ["InceptionV3/Predictions/Reshape_1"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.6,
"score_type" : "NORMAL"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "InceptionV4/Logits/Predictions",
+ "name" : ["InceptionV4/Logits/Predictions"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.6,
"score_type" : "NORMAL"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "output",
+ "name" : ["output"],
"index" : [-1, 1],
"top_number" : 5,
- "threshold" : 0.6,
+ "threshold" : 0.0,
"score_type" : "SIGMOID"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "MobilenetV1/Predictions/Reshape_1",
+ "name" : ["MobilenetV1/Predictions/Reshape_1"],
"index" : [-1, 1],
"top_number" : 5,
- "threshold" : 0.6,
+ "threshold" : 0.0,
"score_type" : "NORMAL"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "MobilenetV2/Predictions/Reshape_1",
+ "name" : ["MobilenetV2/Predictions/Reshape_1"],
"index" : [-1, 1],
"top_number" : 5,
- "threshold" : 0.6,
+ "threshold" : 0.01,
"score_type" : "NORMAL"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "final_layer/predictions",
+ "name" : ["final_layer/predictions"],
"index" : [-1, 1],
"top_number" : 5,
- "threshold" : 0.6,
+ "threshold" : 0.0,
"score_type" : "NORMAL"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "output",
+ "name" : ["output"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.6,
"score_type" : "SIGMOID"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "softmax_tensor",
+ "name" : ["softmax_tensor"],
"index" : [-1, 1],
"top_number" : 5,
- "threshold" : 0.3,
+ "threshold" : 0.0,
"score_type" : "NORMAL"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "dense_3/Softmax",
+ "name" : ["dense_3/Softmax"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.3,
"score_type" : "NORMAL"
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "MobilenetV1/Predictions/Reshape_1",
+ "name" : ["MobilenetV1/Predictions/Reshape_1"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.3,
}
]
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "TFLite_Detection_PostProcess:2",
+ "name" : ["TFLite_Detection_PostProcess:2"],
"index" : [-1, 1],
"top_number" : 5,
"threshold" : 0.3,
"score_type" : "NORMAL"
- }
- ],
- "box" : [
+ },
+ "box" :
{
- "name" : "TFLite_Detection_PostProcess",
+ "name" : ["TFLite_Detection_PostProcess"],
"index" : [-1, -1, 1],
"box_type" : "ORIGIN_LEFTTOP",
"box_order" : [1, 0, 3, 2],
"box_coordinate" : "RATIO",
"decoding_type": "BYPASS"
- }
- ],
+ },
"label" : [
{
"name" : "TFLite_Detection_PostProcess:1",
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "raw_outputs/class_predictions",
+ "name" : ["raw_outputs/class_predictions"],
"index" : [-1, -1, 1],
"top_number" : 5,
"threshold" : 0.6,
"score_type" : "SIGMOID"
- }
- ],
- "box" : [
+ },
+ "box" :
{
- "name" : "raw_outputs/box_encodings",
+ "name" : ["raw_outputs/box_encodings"],
"index" : [-1, -1, 1],
"box_type" : "ORIGIN_CENTER",
"box_order" : [1, 0, 3, 2],
}
}
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "Identity:0",
+ "name" : ["Identity:0"],
"index" : [-1, -1, 1],
"top_number" : 5,
"threshold" : 0.4,
"score_type" : "NORMAL"
- }
- ],
- "box" : [
+ },
+ "box" :
{
- "name" : "Identity:0",
+ "name" : ["Identity:0"],
"index" : [-1, -1, 1],
"box_type" : "ORIGIN_CENTER",
"box_order" : [0, 1, 2, 3],
}
}
}
- ]
}
}
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "Convolutional_Pose_Machine/stage_5_out",
+ "name" : ["Convolutional_Pose_Machine/stage_5_out"],
"index" : [-1, 1, 1, 1],
"top_number" : 1 ,
"threshold" : 0.3,
"score_type" : "NORMAL"
}
- ],
+ ,
"landmark" : [
{
"name" : "Convolutional_Pose_Machine/stage_5_out",
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "MobilenetV1/heatmap_2/BiasAdd",
+ "name" : ["MobilenetV1/heatmap_2/BiasAdd"],
"index" : [-1, 1, 1, 1],
"top_number" : 1,
"threshold" : 0.65,
"score_type" : "SIGMOID"
- }
- ],
+ },
"landmark" : [
{
"name" : "MobilenetV1/heatmap_2/BiasAdd",
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "Identity:0",
+ "name" : ["Identity:0"],
"index" : [-1, -1, -1, 1],
"top_number" : 1,
"threshold" : 0.5,
"score_type" : "NORMAL"
- }
- ],
+ },
"landmark" : [
{
"name" : "Identity:0",
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "Identity:0",
+ "name" : ["Identity:0"],
"index" : [-1, -1, -1, 1],
"top_number" : 1,
"threshold" : 0.5,
"score_type" : "NORMAL"
- }
- ],
+ },
"landmark" : [
{
"name" : "Identity:0",
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "StatefulPartitionedCall_0:0",
+ "name" : ["StatefulPartitionedCall_0:0"],
"index" : [-1, -1, -1, 1],
"top_number" : 1,
"threshold" : 0.5,
"score_type" : "NORMAL"
- }
- ],
+ },
"landmark" : [
{
"name" : "StatefulPartitionedCall_0:0",
{
"score" : [
{
- "name" : "StatefulPartitionedCall_0:0",
+ "name" : ["StatefulPartitionedCall_0:0"],
"index" : [-1, -1, -1, 1],
"top_number" : 1,
"threshold" : 0.5,
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "Identity:0",
+ "name" : ["Identity:0"],
"index" : [-1, -1, -1, 1],
"top_number" : 1,
"threshold" : 0.5,
"score_type" : "NORMAL"
- }
- ],
+ },
"landmark" : [
{
"name" : "Identity:0",
{
"score" : [
{
- "name" : "Identity:0",
+ "name" : ["Identity:0"],
"index" : [-1, -1, -1, 1],
"top_number" : 1,
"threshold" : 0.5,
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "StatefulPartitionedCall:0",
+ "name" : ["StatefulPartitionedCall:0"],
"index" : [-1, -1, -1, 1],
"top_number" : 1,
"threshold" : 0.5,
"score_type" : "NORMAL"
- }
- ],
+ },
"landmark" : [
{
"name" : "StatefulPartitionedCall:0",
},
"outputmetadata" :
{
- "score" : [
+ "score" :
{
- "name" : "StatefulPartitionedCall:0",
+ "name" : ["StatefulPartitionedCall:0"],
"index" : [-1, -1, -1, 1],
"top_number" : 1,
"threshold" : 0.5,
"score_type" : "NORMAL"
- }
- ],
+ },
"landmark" : [
{
"name" : "StatefulPartitionedCall:0",