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PowerMiner/TensorFlow/ssd_mobilenet_v1_coco.pbtxt
2018-02-15 07:46:02 -05:00

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input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm"
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op: "Conv2D"
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input: "BoxPredictor_5/BoxEncodingPredictor/convolution"
input: "BoxPredictor_5/BoxEncodingPredictor/biases"
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op: "BiasAdd"
input: "BoxPredictor_5/ClassPredictor/convolution"
input: "BoxPredictor_5/ClassPredictor/biases"
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### Locations ##################################################################
node {
name: "BoxPredictor_0/Flatten"
op: "Flatten"
input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_1/Flatten"
op: "Flatten"
input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_2/Flatten"
op: "Flatten"
input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_3/Flatten"
op: "Flatten"
input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_4/Flatten"
op: "Flatten"
input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_5/Flatten"
op: "Flatten"
input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd"
}
node {
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op: "Const"
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input: "BoxPredictor_1/Flatten"
input: "BoxPredictor_2/Flatten"
input: "BoxPredictor_3/Flatten"
input: "BoxPredictor_4/Flatten"
input: "BoxPredictor_5/Flatten"
input: "concat/axis_flatten"
}
### Classifications ############################################################
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name: "BoxPredictor_0/Flatten_1"
op: "Flatten"
input: "BoxPredictor_0/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_1/Flatten_1"
op: "Flatten"
input: "BoxPredictor_1/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_2/Flatten_1"
op: "Flatten"
input: "BoxPredictor_2/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_3/Flatten_1"
op: "Flatten"
input: "BoxPredictor_3/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_4/Flatten_1"
op: "Flatten"
input: "BoxPredictor_4/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_5/Flatten_1"
op: "Flatten"
input: "BoxPredictor_5/ClassPredictor/BiasAdd"
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node {
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op: "ConcatV2"
input: "BoxPredictor_0/Flatten_1"
input: "BoxPredictor_1/Flatten_1"
input: "BoxPredictor_2/Flatten_1"
input: "BoxPredictor_3/Flatten_1"
input: "BoxPredictor_4/Flatten_1"
input: "BoxPredictor_5/Flatten_1"
input: "concat/axis_flatten"
}
################################################################################
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op: "PriorBox"
input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
input: "image_tensor"
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float_val: 0.2
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node {
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op: "PriorBox"
input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd"
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float_val: 0.1
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}
node {
name: "PriorBox_2"
op: "PriorBox"
input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd"
input: "image_tensor"
attr { key: "min_size" value { i: 150 } }
attr { key: "max_size" value { i: 195 } }
attr { key: "flip" value { b: true } }
attr { key: "clip" value { b: false } }
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attr {
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tensor_shape {
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float_val: 0.1
float_val: 0.1
float_val: 0.2
float_val: 0.2
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}
}
node {
name: "PriorBox_3"
op: "PriorBox"
input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd"
input: "image_tensor"
attr { key: "min_size" value { i: 195 } }
attr { key: "max_size" value { i: 240 } }
attr { key: "flip" value { b: true } }
attr { key: "clip" value { b: false } }
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float_val: 0.1
float_val: 0.2
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node {
name: "PriorBox_4"
op: "PriorBox"
input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd"
input: "image_tensor"
attr { key: "min_size" value { i: 240 } }
attr { key: "max_size" value { i: 285 } }
attr { key: "flip" value { b: true } }
attr { key: "clip" value { b: false } }
attr {
key: "aspect_ratio"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
dim {
size: 2
}
}
float_val: 2.0
float_val: 3.0
}
}
}
attr {
key: "variance"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
dim {
size: 4
}
}
float_val: 0.1
float_val: 0.1
float_val: 0.2
float_val: 0.2
}
}
}
}
node {
name: "PriorBox_5"
op: "PriorBox"
input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd"
input: "image_tensor"
attr { key: "min_size" value { i: 285 } }
attr { key: "max_size" value { i: 300 } }
attr { key: "flip" value { b: true } }
attr { key: "clip" value { b: false } }
attr {
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value {
tensor {
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tensor_shape {
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float_val: 2.0
float_val: 3.0
}
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}
attr {
key: "variance"
value {
tensor {
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tensor_shape {
dim {
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}
}
float_val: 0.1
float_val: 0.1
float_val: 0.2
float_val: 0.2
}
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}
node {
name: "concat_2"
op: "ConcatV2"
input: "PriorBox"
input: "PriorBox_1"
input: "PriorBox_2"
input: "PriorBox_3"
input: "PriorBox_4"
input: "PriorBox_5"
input: "concat/axis_flatten"
}
################################################################################
node {
name: "concat_1_sigmoid"
op: "Sigmoid"
input: "concat_1"
}
node {
name: "detection_out"
op: "DetectionOutput"
input: "concat"
input: "concat_1_sigmoid"
input: "concat_2"
attr { key: "num_classes" value { i: 1 } }
attr { key: "share_location" value { b: true } }
attr { key: "background_label_id" value { i: 0 } }
attr { key: "nms_threshold" value { f: 0.6 } }
attr { key: "top_k" value { i: 100 } }
attr { key: "code_type" value { s: "CENTER_SIZE" } }
attr { key: "keep_top_k" value { i: 100 } }
attr { key: "confidence_threshold" value { f: 0.01 } }
attr { key: "loc_pred_transposed" value { b: true } }
}