diff --git "a/faceRecognition/arcface/openvino/camstack-arcface-r100.xml" "b/faceRecognition/arcface/openvino/camstack-arcface-r100.xml"
new file mode 100644--- /dev/null
+++ "b/faceRecognition/arcface/openvino/camstack-arcface-r100.xml"
@@ -0,0 +1,8316 @@
+<?xml version="1.0"?>
+<net name="onnx_Frontend_IR" version="11">
+	<layers>
+		<layer id="0" name="input_1" type="Parameter" version="opset1">
+			<data shape="?,112,112,3" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="input_1">
+					<dim>-1</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Constant_16657" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="StatefulPartitionedCall/ResNet34/conv1_conv/Conv2D__6" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="StatefulPartitionedCall/ResNet34/conv1_conv/Conv2D__6:0">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="StatefulPartitionedCall/ResNet34/conv1_conv/Conv2D_weights_fused_bn_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 3, 3, 3" offset="32" size="3456" />
+			<output>
+				<port id="0" precision="FP16" names="StatefulPartitionedCall/ResNet34/conv1_conv/Conv2D_weights_fused_bn">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="StatefulPartitionedCall/ResNet34/conv1_conv/Conv2D_weights_fused_bn" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="StatefulPartitionedCall/ResNet34/conv1_conv/Conv2D/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Reshape_16672_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="3488" size="128" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="Reshape_16672" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="StatefulPartitionedCall/ResNet34/conv1_conv/Conv2D" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="StatefulPartitionedCall/ResNet34/conv1_bn/FusedBatchNormV3:0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Constant_19857_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="3616" size="128" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Constant_19857" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="StatefulPartitionedCall/ResNet34/conv1_prelu/add" type="PReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="StatefulPartitionedCall/ResNet34/conv1_prelu/add:0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="StatefulPartitionedCall/ResNet34/conv2_block1_0_conv/Conv2D_weights_fused_bn_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 64, 1, 1" offset="3744" size="8192" />
+			<output>
+				<port id="0" precision="FP16" names="StatefulPartitionedCall/ResNet34/conv2_block1_0_conv/Conv2D_weights_fused_bn">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="StatefulPartitionedCall/ResNet34/conv2_block1_0_conv/Conv2D_weights_fused_bn" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="StatefulPartitionedCall/ResNet34/conv2_block1_0_conv/Conv2D/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Reshape_16734_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="11936" size="128" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Reshape_16734" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="StatefulPartitionedCall/ResNet34/conv2_block1_0_conv/Conv2D" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="StatefulPartitionedCall/ResNet34/conv2_block1_0_bn/FusedBatchNormV3:0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Constant_20667_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="12064" size="128" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Constant_20667" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="Multiply_21599" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="Constant_21604_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="12192" size="128" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="Constant_21604" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="StatefulPartitionedCall/ResNet34/conv2_block1_1_bn/FusedBatchNormV3" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
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+					<dim>112</dim>
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+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="StatefulPartitionedCall/ResNet34/conv2_block1_1_bn/FusedBatchNormV3:0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="StatefulPartitionedCall/ResNet34/conv2_block1_1_conv/Conv2D_weights_fused_bn_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 64, 3, 3" offset="12320" size="73728" />
+			<output>
+				<port id="0" precision="FP16" names="StatefulPartitionedCall/ResNet34/conv2_block1_1_conv/Conv2D_weights_fused_bn">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="StatefulPartitionedCall/ResNet34/conv2_block1_1_conv/Conv2D_weights_fused_bn" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
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+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="StatefulPartitionedCall/ResNet34/conv2_block1_1_conv/Conv2D/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+			<data element_type="f16" shape="1, 64, 1, 1" offset="86048" size="128" />
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+		<layer id="28" name="Reshape_16698" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+			</output>
+		</layer>
+		<layer id="29" name="StatefulPartitionedCall/ResNet34/conv2_block1_1_conv/Conv2D" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+			<output>
+				<port id="2" precision="FP32" names="StatefulPartitionedCall/ResNet34/conv2_block1_2_bn/FusedBatchNormV3:0">
+					<dim>-1</dim>
+					<dim>64</dim>
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+		<layer id="31" name="Constant_19868" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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