commit 8957d38f1664299a75c3b2d2b6fc29c691a9de25
Author: Daniel <danile71@gmail.com>
Date:   Wed Aug 26 08:37:16 2020 +0300

    init

diff --git a/main.go b/main.go
new file mode 100644
index 0000000..a11d042
--- /dev/null
+++ b/main.go
@@ -0,0 +1,139 @@
+package main
+
+import (
+	"fmt"
+	"image"
+	"time"
+
+	"github.com/Danile71/go-face"
+	"gocv.io/x/gocv"
+)
+
+const (
+	netModel    = "models/face-detection-retail-0005.bin"
+	netProto    = "models/face-detection-retail-0005.xml"
+	cnnModel    = "models/mmod_human_face_detector.dat"
+	shapeModel  = "models/shape_predictor_68_face_landmarks.dat"
+	descrModel  = "models/dlib_face_recognition_resnet_model_v1.dat"
+	ageModel    = "models/dnn_age_predictor_v1.dat"
+	genderModel = "models/dnn_gender_classifier_v1.dat"
+)
+
+//openvino detecting
+//dlib recognize
+
+func main() {
+	var (
+		pt      = image.Pt(300, 300)
+		scalar  = gocv.NewScalar(0, 0, 0, 0)
+		faceNet = gocv.ReadNet(netModel, netProto)
+	)
+
+	faceNet.SetPreferableBackend(gocv.NetBackendDefault)
+	faceNet.SetPreferableTarget(gocv.NetTargetCPU)
+	defer faceNet.Close()
+
+	rec, err := face.NewRecognizer()
+	if err != nil {
+		fmt.Println(err)
+		return
+	}
+	defer rec.Close()
+
+	err = rec.SetShapeModel(shapeModel)
+	if err != nil {
+		fmt.Println(err)
+		return
+	}
+
+	err = rec.SetDescriptorModel(descrModel)
+	if err != nil {
+		fmt.Println(err)
+		return
+	}
+
+	err = rec.SetAgeModel(ageModel)
+	if err != nil {
+		fmt.Println(err)
+		return
+	}
+
+	err = rec.SetGenderModel(genderModel)
+	if err != nil {
+		fmt.Println(err)
+		return
+	}
+
+	err = rec.SetCNNModel(cnnModel)
+	if err != nil {
+		fmt.Println(err)
+		return
+	}
+	start := time.Now()
+	defer func() {
+		fmt.Println("elapsed", time.Since(start))
+	}()
+	img := gocv.IMRead("test.jpg", gocv.IMReadUnchanged)
+	defer img.Close()
+
+	width := img.Cols()
+	height := img.Rows()
+
+	blob := gocv.BlobFromImage(img, 1, pt, scalar, false, false)
+	defer blob.Close()
+
+	faceNet.SetInput(blob, "")
+
+	outputFace := faceNet.Forward("")
+	defer outputFace.Close()
+
+	for i := 0; i < outputFace.Total(); i += 7 {
+		confidence := outputFace.GetFloatAt(0, i+2)
+
+		if confidence > 0.5 {
+
+			left := int(outputFace.GetFloatAt(0, i+3) * float32(width))
+			top := int(outputFace.GetFloatAt(0, i+4) * float32(height))
+			right := int(outputFace.GetFloatAt(0, i+5) * float32(width))
+			bottom := int(outputFace.GetFloatAt(0, i+6) * float32(height))
+
+			//bugfix
+			if left < 0 {
+				left = 0
+			}
+			if top < 0 {
+				top = 0
+			}
+			if right > img.Cols() {
+				right = img.Cols()
+			}
+			if bottom > img.Rows() {
+				bottom = img.Rows()
+			}
+
+			r := image.Rect(left, top, right, bottom)
+			submat := img.Region(r)
+
+			submatgray := gocv.NewMat()
+			gocv.CvtColor(submat, &submatgray, gocv.ColorBGRToGray)
+
+			faces, err := rec.DetectFromMatCNN(submatgray)
+			submatgray.Close()
+
+			if err != nil {
+				fmt.Println(err)
+				continue
+			}
+
+			for _, f := range faces {
+				rec.Recognize(&f)
+				rec.GetAge(&f)
+				rec.GetGender(&f)
+				fmt.Println("detected:", f.Rectangle, " age:", f.Age, " gender:", f.Gender)
+				f.Close()
+			}
+			submat.Close()
+		}
+
+	}
+}
diff --git a/models/dlib_face_recognition_resnet_model_v1.dat b/models/dlib_face_recognition_resnet_model_v1.dat
new file mode 100644
index 0000000..ddb5158
Binary files /dev/null and b/models/dlib_face_recognition_resnet_model_v1.dat differ
diff --git a/models/dnn_age_predictor_v1.dat b/models/dnn_age_predictor_v1.dat
new file mode 100644
index 0000000..78251a0
Binary files /dev/null and b/models/dnn_age_predictor_v1.dat differ
diff --git a/models/dnn_gender_classifier_v1.dat b/models/dnn_gender_classifier_v1.dat
new file mode 100644
index 0000000..5f6ff08
Binary files /dev/null and b/models/dnn_gender_classifier_v1.dat differ
diff --git a/models/face-detection-retail-0005.bin b/models/face-detection-retail-0005.bin
new file mode 100644
index 0000000..3719f76
Binary files /dev/null and b/models/face-detection-retail-0005.bin differ
diff --git a/models/face-detection-retail-0005.xml b/models/face-detection-retail-0005.xml
new file mode 100644
index 0000000..879ae0c
--- /dev/null
+++ b/models/face-detection-retail-0005.xml
@@ -0,0 +1,2661 @@
+<?xml version="1.0" ?>
+<net batch="1" name="face-detection-retail-0005" version="6">
+	<layers>
+		<layer id="0" name="input.1" precision="FP16" type="Input">
+			<output>
+				<port id="0">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>300</dim>
+					<dim>300</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Mul_" precision="FP16" type="Power">
+			<data power="1" scale="0.00392157" shift="0"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>300</dim>
+					<dim>300</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>300</dim>
+					<dim>300</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Mul1_6511/Fused_Mul_/FusedScaleShift_" precision="FP16" type="ScaleShift">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>300</dim>
+					<dim>300</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>300</dim>
+					<dim>300</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="0" size="6"/>
+				<biases offset="6" size="6"/>
+			</blobs>
+		</layer>
+		<layer id="3" name="332" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="3,3" output="24" pads_begin="1,1" pads_end="1,1" strides="2,2"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>300</dim>
+					<dim>300</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="12" size="1296"/>
+				<biases offset="1308" size="48"/>
+			</blobs>
+		</layer>
+		<layer id="4" name="334" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="335" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="24" kernel="3,3" output="24" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="1356" size="432"/>
+				<biases offset="1788" size="48"/>
+			</blobs>
+		</layer>
+		<layer id="6" name="337" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="338" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="12" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="1836" size="576"/>
+				<biases offset="2412" size="24"/>
+			</blobs>
+		</layer>
+		<layer id="8" name="340" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="72" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="2436" size="1728"/>
+				<biases offset="4164" size="144"/>
+			</blobs>
+		</layer>
+		<layer id="9" name="342" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="343" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="72" kernel="3,3" output="72" pads_begin="1,1" pads_end="1,1" strides="2,2"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>150</dim>
+					<dim>150</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="4308" size="1296"/>
+				<biases offset="5604" size="144"/>
+			</blobs>
+		</layer>
+		<layer id="11" name="345" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="346" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="18" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>18</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="5748" size="2592"/>
+				<biases offset="8340" size="36"/>
+			</blobs>
+		</layer>
+		<layer id="13" name="348" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="108" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>18</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="8376" size="3888"/>
+				<biases offset="12264" size="216"/>
+			</blobs>
+		</layer>
+		<layer id="14" name="350" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="351" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="108" kernel="3,3" output="108" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="12480" size="1944"/>
+				<biases offset="14424" size="216"/>
+			</blobs>
+		</layer>
+		<layer id="16" name="353" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="354" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="18" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>18</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="14640" size="3888"/>
+				<biases offset="18528" size="36"/>
+			</blobs>
+		</layer>
+		<layer id="18" name="356" precision="FP16" type="Eltwise">
+			<data operation="sum"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>18</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+				<port id="1">
+					<dim>1</dim>
+					<dim>18</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2">
+					<dim>1</dim>
+					<dim>18</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="357" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="108" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>18</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="18564" size="3888"/>
+				<biases offset="22452" size="216"/>
+			</blobs>
+		</layer>
+		<layer id="20" name="359" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="360" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="108" kernel="3,3" output="108" pads_begin="1,1" pads_end="1,1" strides="2,2"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>75</dim>
+					<dim>75</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="22668" size="1944"/>
+				<biases offset="24612" size="216"/>
+			</blobs>
+		</layer>
+		<layer id="22" name="362" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="363" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="24" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>108</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="24828" size="5184"/>
+				<biases offset="30012" size="48"/>
+			</blobs>
+		</layer>
+		<layer id="24" name="365" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="144" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="30060" size="6912"/>
+				<biases offset="36972" size="288"/>
+			</blobs>
+		</layer>
+		<layer id="25" name="367" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="368" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="144" kernel="3,3" output="144" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="37260" size="2592"/>
+				<biases offset="39852" size="288"/>
+			</blobs>
+		</layer>
+		<layer id="27" name="370" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="371" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="24" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="40140" size="6912"/>
+				<biases offset="47052" size="48"/>
+			</blobs>
+		</layer>
+		<layer id="29" name="373" precision="FP16" type="Eltwise">
+			<data operation="sum"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
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+				<port id="1">
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+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
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+		<layer id="30" name="374" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="144" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="47100" size="6912"/>
+				<biases offset="54012" size="288"/>
+			</blobs>
+		</layer>
+		<layer id="31" name="376" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="377" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="144" kernel="3,3" output="144" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="54300" size="2592"/>
+				<biases offset="56892" size="288"/>
+			</blobs>
+		</layer>
+		<layer id="33" name="379" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="380" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="24" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="57180" size="6912"/>
+				<biases offset="64092" size="48"/>
+			</blobs>
+		</layer>
+		<layer id="35" name="382" precision="FP16" type="Eltwise">
+			<data operation="sum"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
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+				<port id="1">
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+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
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+			</input>
+			<output>
+				<port id="2">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="383" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="144" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="64140" size="6912"/>
+				<biases offset="71052" size="288"/>
+			</blobs>
+		</layer>
+		<layer id="37" name="385" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
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+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="386" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="144" kernel="3,3" output="144" pads_begin="1,1" pads_end="1,1" strides="2,2"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>38</dim>
+					<dim>38</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+			</output>
+			<blobs>
+				<weights offset="71340" size="2592"/>
+				<biases offset="73932" size="288"/>
+			</blobs>
+		</layer>
+		<layer id="39" name="388" precision="FP16" type="ReLU">
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+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+				<port id="1">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="389" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="48" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="74220" size="13824"/>
+				<biases offset="88044" size="96"/>
+			</blobs>
+		</layer>
+		<layer id="41" name="391" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="288" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
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+				</port>
+			</output>
+			<blobs>
+				<weights offset="88140" size="27648"/>
+				<biases offset="115788" size="576"/>
+			</blobs>
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+		<layer id="42" name="393" precision="FP16" type="ReLU">
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+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+				<port id="1">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+			</output>
+		</layer>
+		<layer id="43" name="394" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="288" kernel="3,3" output="288" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
+				<port id="0">
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+					<dim>288</dim>
+					<dim>19</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
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+				</port>
+			</output>
+			<blobs>
+				<weights offset="116364" size="5184"/>
+				<biases offset="121548" size="576"/>
+			</blobs>
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+		<layer id="44" name="396" precision="FP16" type="ReLU">
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+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="397" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="48" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="122124" size="27648"/>
+				<biases offset="149772" size="96"/>
+			</blobs>
+		</layer>
+		<layer id="46" name="399" precision="FP16" type="Eltwise">
+			<data operation="sum"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+				<port id="1">
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+					<dim>48</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="400" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="288" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="149868" size="27648"/>
+				<biases offset="177516" size="576"/>
+			</blobs>
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+		<layer id="48" name="402" precision="FP16" type="ReLU">
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+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="403" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="288" kernel="3,3" output="288" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
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+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+			<blobs>
+				<weights offset="178092" size="5184"/>
+				<biases offset="183276" size="576"/>
+			</blobs>
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+		<layer id="50" name="405" precision="FP16" type="ReLU">
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+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
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+				</port>
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+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="51" name="406" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="48" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
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+				<port id="0">
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+					<dim>288</dim>
+					<dim>19</dim>
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+				</port>
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+				<port id="3">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+			<blobs>
+				<weights offset="183852" size="27648"/>
+				<biases offset="211500" size="96"/>
+			</blobs>
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+			<data operation="sum"/>
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+				<port id="0">
+					<dim>1</dim>
+					<dim>48</dim>
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+					<dim>19</dim>
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+				<port id="1">
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+					<dim>19</dim>
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+					<dim>48</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+			<data dilations="1,1" group="1" kernel="1,1" output="288" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
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+				<port id="0">
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+					<dim>48</dim>
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+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+				<weights offset="211596" size="27648"/>
+				<biases offset="239244" size="576"/>
+			</blobs>
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+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
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+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="412" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="288" kernel="3,3" output="288" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
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+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
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+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
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+				</port>
+			</output>
+			<blobs>
+				<weights offset="239820" size="5184"/>
+				<biases offset="245004" size="576"/>
+			</blobs>
+		</layer>
+		<layer id="56" name="414" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
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+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+			</output>
+		</layer>
+		<layer id="57" name="415" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="48" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
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+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>19</dim>
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+			</output>
+			<blobs>
+				<weights offset="245580" size="27648"/>
+				<biases offset="273228" size="96"/>
+			</blobs>
+		</layer>
+		<layer id="58" name="417" precision="FP16" type="Eltwise">
+			<data operation="sum"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>48</dim>
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+				<port id="1">
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+					<dim>48</dim>
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+					<dim>19</dim>
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+			</output>
+		</layer>
+		<layer id="59" name="418" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="288" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>48</dim>
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+			</input>
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+					<dim>288</dim>
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+			</output>
+			<blobs>
+				<weights offset="273324" size="27648"/>
+				<biases offset="300972" size="576"/>
+			</blobs>
+		</layer>
+		<layer id="60" name="420" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
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+					<dim>1</dim>
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+					<dim>19</dim>
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+			</output>
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+		<layer id="61" name="421" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="288" kernel="3,3" output="288" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>288</dim>
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+			</output>
+			<blobs>
+				<weights offset="301548" size="5184"/>
+				<biases offset="306732" size="576"/>
+			</blobs>
+		</layer>
+		<layer id="62" name="423" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
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+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+			</output>
+		</layer>
+		<layer id="63" name="424" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="72" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>288</dim>
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+			</input>
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+					<dim>1</dim>
+					<dim>72</dim>
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+			</output>
+			<blobs>
+				<weights offset="307308" size="41472"/>
+				<biases offset="348780" size="144"/>
+			</blobs>
+		</layer>
+		<layer id="64" name="426" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="432" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>72</dim>
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+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+				</port>
+			</output>
+			<blobs>
+				<weights offset="348924" size="62208"/>
+				<biases offset="411132" size="864"/>
+			</blobs>
+		</layer>
+		<layer id="65" name="428" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="66" name="429" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="432" kernel="3,3" output="432" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+				</port>
+			</output>
+			<blobs>
+				<weights offset="411996" size="7776"/>
+				<biases offset="419772" size="864"/>
+			</blobs>
+		</layer>
+		<layer id="67" name="431" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="68" name="432" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="72" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>19</dim>
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+				</port>
+			</output>
+			<blobs>
+				<weights offset="420636" size="62208"/>
+				<biases offset="482844" size="144"/>
+			</blobs>
+		</layer>
+		<layer id="69" name="434" precision="FP16" type="Eltwise">
+			<data operation="sum"/>
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>72</dim>
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+					<dim>19</dim>
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+			</output>
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+		<layer id="70" name="435" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="432" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
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+			</input>
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+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+			</output>
+			<blobs>
+				<weights offset="482988" size="62208"/>
+				<biases offset="545196" size="864"/>
+			</blobs>
+		</layer>
+		<layer id="71" name="437" precision="FP16" type="ReLU">
+			<input>
+				<port id="0">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+			</output>
+		</layer>
+		<layer id="72" name="438" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="432" kernel="3,3" output="432" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
+				<port id="0">
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+					<dim>19</dim>
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+				<port id="3">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+			</output>
+			<blobs>
+				<weights offset="546060" size="7776"/>
+				<biases offset="553836" size="864"/>
+			</blobs>
+		</layer>
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+				<port id="0">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
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+		<layer id="74" name="441" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="72" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
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+				<port id="0">
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+					<dim>432</dim>
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+				<port id="3">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>19</dim>
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+				</port>
+			</output>
+			<blobs>
+				<weights offset="554700" size="62208"/>
+				<biases offset="616908" size="144"/>
+			</blobs>
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+			<data operation="sum"/>
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+				<port id="0">
+					<dim>1</dim>
+					<dim>72</dim>
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+				<port id="1">
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+				</port>
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+					<dim>19</dim>
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+			</output>
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+			<data dilations="1,1" group="1" kernel="1,1" output="432" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
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+					<dim>19</dim>
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+				</port>
+			</input>
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+				<port id="3">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+				</port>
+			</output>
+			<blobs>
+				<weights offset="617052" size="62208"/>
+				<biases offset="679260" size="864"/>
+			</blobs>
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+				<port id="0">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
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+			<output>
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+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="78" name="447" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="432" kernel="3,3" output="432" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
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+					<dim>432</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="3">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+				</port>
+			</output>
+			<blobs>
+				<weights offset="680124" size="7776"/>
+				<biases offset="687900" size="864"/>
+			</blobs>
+		</layer>
+		<layer id="79" name="449" precision="FP16" type="ReLU">
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+				<port id="0">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="1">
+					<dim>1</dim>
+					<dim>432</dim>
+					<dim>19</dim>
+					<dim>19</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="80" name="450" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="120" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
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+				<port id="0">
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+					<dim>432</dim>
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+				<port id="3">
+					<dim>1</dim>
+					<dim>120</dim>
+					<dim>19</dim>
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+			<blobs>
+				<weights offset="688764" size="103680"/>
+				<biases offset="792444" size="240"/>
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+			<data dilations="1,1" group="1" kernel="1,1" output="720" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
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+					<dim>120</dim>
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+					<dim>720</dim>
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+				<biases offset="965484" size="1440"/>
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+					<dim>720</dim>
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+					<dim>19</dim>
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+			</output>
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+			<data dilations="1,1" group="720" kernel="3,3" output="720" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
+			<input>
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+					<dim>720</dim>
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+				<biases offset="979884" size="1440"/>
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+					<dim>720</dim>
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+					<dim>720</dim>
+					<dim>19</dim>
+					<dim>19</dim>
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+			</output>
+		</layer>
+		<layer id="85" name="458" precision="FP16" type="Convolution">
+			<data dilations="1,1" group="1" kernel="1,1" output="120" pads_begin="0,0" pads_end="0,0" strides="1,1"/>
+			<input>
+				<port id="0">
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+					<dim>1</dim>
+					<dim>120</dim>
+					<dim>19</dim>
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+			<blobs>
+				<weights offset="981324" size="172800"/>
+				<biases offset="1154124" size="240"/>
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+	</edges>
+	<meta_data>
+		<MO_version value="2019.3.0-227-g3a4f9de20"/>
+		<cli_parameters>
+			<blobs_as_inputs value="False"/>
+			<caffe_parser_path value="DIR"/>
+			<data_type value="FP16"/>
+			<disable_nhwc_to_nchw value="False"/>
+			<disable_omitting_optional value="False"/>
+			<disable_resnet_optimization value="False"/>
+			<enable_concat_optimization value="False"/>
+			<enable_flattening_nested_params value="False"/>
+			<enable_ssd_gluoncv value="False"/>
+			<extensions value="DIR"/>
+			<framework value="onnx"/>
+			<freeze_placeholder_with_value value="{}"/>
+			<generate_experimental_IR_V10 value="False"/>
+			<input value="input.1"/>
+			<input_model value="DIR/mobilenetv2_fd_single_head.onnx"/>
+			<input_model_is_text value="False"/>
+			<input_shape value="[1,3,300,300]"/>
+			<k value="DIR/CustomLayersMapping.xml"/>
+			<keep_quantize_ops_in_IR value="False"/>
+			<keep_shape_ops value="False"/>
+			<legacy_mxnet_model value="False"/>
+			<log_level value="ERROR"/>
+			<mean_scale_values value="{'input.1': {'mean': None, 'scale': array([254.99991075])}}"/>
+			<mean_values value="()"/>
+			<model_name value="face-detection-retail-0005"/>
+			<move_to_preprocess value="False"/>
+			<output_dir value="DIR"/>
+			<placeholder_shapes value="{'input.1': array([  1,   3, 300, 300])}"/>
+			<remove_memory value="False"/>
+			<remove_output_softmax value="False"/>
+			<reverse_input_channels value="True"/>
+			<save_params_from_nd value="False"/>
+			<scale_values value="input.1[254.99991075003123]"/>
+			<silent value="False"/>
+			<steps value="False"/>
+			<version value="False"/>
+			<unset unset_cli_parameters="batch, counts, disable_fusing, disable_gfusing, finegrain_fusing, generate_deprecated_IR_V2, input_checkpoint, input_meta_graph, input_proto, input_symbol, mean_file, mean_file_offsets, nd_prefix_name, output, pretrained_model_name, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_operation_patterns, tensorflow_subgraph_patterns, tensorflow_use_custom_operations_config"/>
+		</cli_parameters>
+	</meta_data>
+</net>
diff --git a/models/mmod_human_face_detector.dat b/models/mmod_human_face_detector.dat
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index 0000000..f112a0a
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diff --git a/models/shape_predictor_5_face_landmarks.dat b/models/shape_predictor_5_face_landmarks.dat
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index 0000000..67878ed
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diff --git a/models/shape_predictor_68_face_landmarks.dat b/models/shape_predictor_68_face_landmarks.dat
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index 0000000..e0ec20d
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diff --git a/test.jpg b/test.jpg
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index 0000000..a90b268
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