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Update face detection network in samples

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This commit is contained in:
Dmitry Kurtaev 2018-08-14 13:16:23 +03:00
parent f056c0f137
commit 22cb65ada9
1 changed files with 96 additions and 29 deletions
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125
samples/dnn/face_detector/opencv_face_detector.pbtxt
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@ -35,11 +35,55 @@ node {
input: "data_scale/Mul"
input: "data_scale/add"
}
node {
name: "SpaceToBatchND/block_shape"
op: "Const"
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 2
}
}
int_val: 1
int_val: 1
}
}
}
}
node {
name: "SpaceToBatchND/paddings"
op: "Const"
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 2
}
dim {
size: 2
}
}
int_val: 3
int_val: 3
int_val: 3
int_val: 3
}
}
}
}
node {
name: "Pad"
op: "Pad"
op: "SpaceToBatchND"
input: "data_scale/BiasAdd"
input: "Pad/paddings"
input: "SpaceToBatchND/block_shape"
input: "SpaceToBatchND/paddings"
}
node {
name: "conv1_h/Conv2D"
@ -81,10 +125,15 @@ node {
input: "conv1_h/Conv2D"
input: "conv1_h/bias"
}
node {
name: "BatchToSpaceND"
op: "BatchToSpaceND"
input: "conv1_h/BiasAdd"
}
node {
name: "conv1_bn_h/FusedBatchNorm"
op: "FusedBatchNorm"
input: "conv1_h/BiasAdd"
input: "BatchToSpaceND"
input: "conv1_bn_h/gamma"
input: "conv1_bn_h/beta"
input: "conv1_bn_h/mean"
@ -439,10 +488,28 @@ node {
input: "layer_256_1_scale1/BiasAdd"
}
node {
name: "Pad_1"
op: "Pad"
input: "Relu_4"
input: "Pad_1/paddings"
name: "SpaceToBatchND_1/paddings"
op: "Const"
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 2
}
dim {
size: 2
}
}
int_val: 1
int_val: 1
int_val: 1
int_val: 1
}
}
}
}
node {
name: "layer_256_1_conv_expand/Conv2D"
@ -580,6 +647,13 @@ node {
op: "Flatten"
input: "conv4_3_norm_mbox_conf/BiasAdd"
}
node {
name: "Pad_1"
op: "SpaceToBatchND"
input: "Relu_4"
input: "SpaceToBatchND/block_shape"
input: "SpaceToBatchND_1/paddings"
}
node {
name: "layer_256_1_conv1/Conv2D"
op: "Conv2D"
@ -620,10 +694,15 @@ node {
input: "layer_256_1_conv1/Conv2D"
input: "layer_256_1_conv1/Conv2D_bn_offset"
}
node {
name: "BatchToSpaceND_1"
op: "BatchToSpaceND"
input: "layer_256_1_bn2/FusedBatchNorm"
}
node {
name: "layer_256_1_scale2/Mul"
op: "Mul"
input: "layer_256_1_bn2/FusedBatchNorm"
input: "BatchToSpaceND_1"
input: "layer_256_1_scale2/mul"
}
node {
@ -806,12 +885,6 @@ node {
input: "Relu_7"
input: "layer_512_1_conv2_h/convolution/SpaceToBatchND/block_shape"
input: "layer_512_1_conv2_h/convolution/SpaceToBatchND/paddings"
attr {
key: "Tblock_shape"
value {
type: DT_INT32
}
}
}
node {
name: "layer_512_1_conv2_h/convolution"
@ -853,18 +926,6 @@ node {
input: "layer_512_1_conv2_h/convolution"
input: "layer_512_1_conv2_h/convolution/BatchToSpaceND/block_shape"
input: "layer_512_1_conv2_h/convolution/BatchToSpaceND/crops"
attr {
key: "Tblock_shape"
value {
type: DT_INT32
}
}
attr {
key: "Tcrops"
value {
type: DT_INT32
}
}
}
node {
name: "add_3"
@ -1041,9 +1102,10 @@ node {
}
node {
name: "Pad_2"
op: "Pad"
op: "SpaceToBatchND"
input: "conv7_1_h/Relu"
input: "Pad_2/paddings"
input: "SpaceToBatchND/block_shape"
input: "SpaceToBatchND_1/paddings"
}
node {
name: "conv7_2_h/Conv2D"
@ -1085,10 +1147,15 @@ node {
input: "conv7_2_h/Conv2D"
input: "conv7_2_h/bias"
}
node {
name: "BatchToSpaceND_2"
op: "BatchToSpaceND"
input: "conv7_2_h/BiasAdd"
}
node {
name: "conv7_2_h/Relu"
op: "Relu"
input: "conv7_2_h/BiasAdd"
input: "BatchToSpaceND_2"
}
node {
name: "conv8_1_h/Conv2D"