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    <title>topic Re: VGG based Face Embeddings takes a long time in Intel® Distribution of OpenVINO™ Toolkit</title>
    <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704546#M5638</link>
    <description>&lt;P&gt;@gauravmoon Hey, how did you make it work. While compiling, I am getting this error:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;"mvNCCompile VGG_FACE_deploy.prototxt -w VGG_FACE.caffemodel -s 12"&lt;P&gt;&amp;nbsp;&lt;/P&gt;[Error 20] Toolkit Error: Input Layer must be in an input_shape construct.&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Can you please guide me with this. Thanks :)&lt;/P&gt;</description>
    <pubDate>Fri, 29 Dec 2017 17:20:18 GMT</pubDate>
    <dc:creator>idata</dc:creator>
    <dc:date>2017-12-29T17:20:18Z</dc:date>
    <item>
      <title>VGG based Face Embeddings takes a long time</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704544#M5636</link>
      <description>&lt;P&gt;I am trying to run this network for face recognition. &lt;A href="http://www.robots.ox.ac.uk/~vgg/software/vgg_face/"&gt;http://www.robots.ox.ac.uk/~vgg/software/vgg_face/&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;The inference time is 750ms which seems too high. What can be the issue here?&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;CODE&gt;Network Summary

Detailed Per Layer Profile
                                                                                                               Bandwidth   time
#    Name                                                                                                MFLOPs  (MB/s)    (ms)
===============================================================================================================================
0    conv1_1                                                                                              173.4   304.2   8.510
1    conv1_2                                                                                             3699.4   663.1  83.248
2    pool1                                                                                                  3.2   832.7   7.356
3    conv2_1                                                                                             1849.7   421.7  33.017
4    conv2_2                                                                                             3699.4   474.0  58.752
5    pool2                                                                                                  1.6   923.1   3.318
6    conv3_1                                                                                             1849.7   171.7  43.405
7    conv3_2                                                                                             3699.4   177.9  83.779
8    conv3_3                                                                                             3699.4   178.0  83.765
9    pool3                                                                                                  0.8   932.3   1.643
10   conv4_1                                                                                             1849.7   136.6  41.684
11   conv4_2                                                                                             3699.4   172.4  66.082
12   conv4_3                                                                                             3699.4   172.6  65.987
13   pool4                                                                                                  0.4   926.7   0.826
14   conv5_1                                                                                              924.8   317.1  19.627
15   conv5_2                                                                                              924.8   316.9  19.634
16   conv5_3                                                                                              924.8   314.6  19.780
17   pool5                                                                                                  0.1   880.9   0.217
18   fc6                                                                                                  205.5  2157.2  90.881
19   fc7                                                                                                   33.6  2138.0  14.971
20   fc8                                                                                                   21.5  2106.5   9.728
21   prob                                                                                                   0.0    10.9   0.458
-------------------------------------------------------------------------------------------------------------------------------
                                                                                   Total inference time                  756.67
-------------------------------------------------------------------------------------------------------------------------------
&lt;/CODE&gt;</description>
      <pubDate>Sun, 19 Nov 2017 02:32:49 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704544#M5636</guid>
      <dc:creator>idata</dc:creator>
      <dc:date>2017-11-19T02:32:49Z</dc:date>
    </item>
    <item>
      <title>Re: VGG based Face Embeddings takes a long time</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704545#M5637</link>
      <description>&lt;P&gt;@AshwinVijayakumar  can you assist here? Why is it taking too long&lt;/P&gt;</description>
      <pubDate>Mon, 20 Nov 2017 14:30:04 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704545#M5637</guid>
      <dc:creator>idata</dc:creator>
      <dc:date>2017-11-20T14:30:04Z</dc:date>
    </item>
    <item>
      <title>Re: VGG based Face Embeddings takes a long time</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704546#M5638</link>
      <description>&lt;P&gt;@gauravmoon Hey, how did you make it work. While compiling, I am getting this error:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;"mvNCCompile VGG_FACE_deploy.prototxt -w VGG_FACE.caffemodel -s 12"&lt;P&gt;&amp;nbsp;&lt;/P&gt;[Error 20] Toolkit Error: Input Layer must be in an input_shape construct.&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Can you please guide me with this. Thanks :)&lt;/P&gt;</description>
      <pubDate>Fri, 29 Dec 2017 17:20:18 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704546#M5638</guid>
      <dc:creator>idata</dc:creator>
      <dc:date>2017-12-29T17:20:18Z</dc:date>
    </item>
    <item>
      <title>Re: VGG based Face Embeddings takes a long time</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704547#M5639</link>
      <description>&lt;P&gt;@sri_mash Please visit &lt;A href="https://movidius.github.io/ncsdk/Caffe.html"&gt;https://movidius.github.io/ncsdk/Caffe.html&lt;/A&gt; and take notice that there is a specific input format that we support. The input for the prototxt file should be in this format: &lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;name: "GoogleNet" &lt;P&gt;&amp;nbsp;&lt;/P&gt;input: "data"&lt;P&gt;&amp;nbsp;&lt;/P&gt; input_shape &lt;P&gt;&amp;nbsp;&lt;/P&gt;{ dim:1 dim:3 dim:224 dim:224 }</description>
      <pubDate>Mon, 01 Jan 2018 06:34:01 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704547#M5639</guid>
      <dc:creator>idata</dc:creator>
      <dc:date>2018-01-01T06:34:01Z</dc:date>
    </item>
    <item>
      <title>Re: VGG based Face Embeddings takes a long time</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704548#M5640</link>
      <description>&lt;P&gt;@Tome_at_Intel Thanks a lot! :)&lt;/P&gt;</description>
      <pubDate>Tue, 02 Jan 2018 15:38:33 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/VGG-based-Face-Embeddings-takes-a-long-time/m-p/704548#M5640</guid>
      <dc:creator>idata</dc:creator>
      <dc:date>2018-01-02T15:38:33Z</dc:date>
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