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    <title>topic Hello, in Intel® Distribution of OpenVINO™ Toolkit</title>
    <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/40-FPS-Tensorflow-based-Fast-Pose-estimation-OpenVINO-Tensorflow/m-p/1139154#M10110</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;Thanks. I have managed to use it.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would like to have the followin scenario and not sure if feasible with Openvino to run two different inferences.&lt;/P&gt;&lt;P&gt;I have Yolov3 model implemented. And only in specific case, i want to use the second model pose estimation .&lt;/P&gt;&lt;P&gt;Is it feasible in openvino to run two different models?&lt;/P&gt;</description>
    <pubDate>Wed, 10 Jun 2020 20:27:00 GMT</pubDate>
    <dc:creator>gupta__himant</dc:creator>
    <dc:date>2020-06-10T20:27:00Z</dc:date>
    <item>
      <title>[40 FPS] Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/40-FPS-Tensorflow-based-Fast-Pose-estimation-OpenVINO-Tensorflow/m-p/1139152#M10108</link>
      <description>&lt;P&gt;I implemented Pose estimation using OpenVINO and NCS2.&lt;/P&gt;&lt;P&gt;Someone may already have implemented it, but it would be nice if it helped a lot of engineers.&lt;/P&gt;&lt;P&gt;- Ubuntu 16.04 x86_64&lt;/P&gt;&lt;P&gt;- OpenVINO 2019 R1.0.1&lt;/P&gt;&lt;P&gt;- Tensorflow v1.12.0 + Tensorflow Lite&lt;/P&gt;&lt;P&gt;- USB Camera&lt;/P&gt;&lt;P&gt;- NCS2&lt;/P&gt;&lt;P&gt;- Python 3.5&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&lt;A href="https://github.com/PINTO0309/MobileNetV2-PoseEstimation.git" target="_blank"&gt;https://github.com/PINTO0309/MobileNetV2-PoseEstimation.git&lt;/A&gt;&lt;/STRONG&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 03 May 2019 23:04:58 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/40-FPS-Tensorflow-based-Fast-Pose-estimation-OpenVINO-Tensorflow/m-p/1139152#M10108</guid>
      <dc:creator>Hyodo__Katsuya</dc:creator>
      <dc:date>2019-05-03T23:04:58Z</dc:date>
    </item>
    <item>
      <title>Hi Katsuya,</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/40-FPS-Tensorflow-based-Fast-Pose-estimation-OpenVINO-Tensorflow/m-p/1139153#M10109</link>
      <description>&lt;P&gt;Hi Katsuya,&lt;/P&gt;&lt;P&gt;Thanks so much for sharing!&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best Regards,&lt;/P&gt;&lt;P&gt;Sahira&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 09 May 2019 18:35:33 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/40-FPS-Tensorflow-based-Fast-Pose-estimation-OpenVINO-Tensorflow/m-p/1139153#M10109</guid>
      <dc:creator>Sahira_Intel</dc:creator>
      <dc:date>2019-05-09T18:35:33Z</dc:date>
    </item>
    <item>
      <title>Hello,</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/40-FPS-Tensorflow-based-Fast-Pose-estimation-OpenVINO-Tensorflow/m-p/1139154#M10110</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;Thanks. I have managed to use it.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would like to have the followin scenario and not sure if feasible with Openvino to run two different inferences.&lt;/P&gt;&lt;P&gt;I have Yolov3 model implemented. And only in specific case, i want to use the second model pose estimation .&lt;/P&gt;&lt;P&gt;Is it feasible in openvino to run two different models?&lt;/P&gt;</description>
      <pubDate>Wed, 10 Jun 2020 20:27:00 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/40-FPS-Tensorflow-based-Fast-Pose-estimation-OpenVINO-Tensorflow/m-p/1139154#M10110</guid>
      <dc:creator>gupta__himant</dc:creator>
      <dc:date>2020-06-10T20:27:00Z</dc:date>
    </item>
    <item>
      <title>IR models</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/40-FPS-Tensorflow-based-Fast-Pose-estimation-OpenVINO-Tensorflow/m-p/1139155#M10111</link>
      <description>&lt;P&gt;It is not possible to load two models into NCS2 at the same time. You must use two NCS2s or infer in two stages.&lt;/P&gt;</description>
      <pubDate>Wed, 10 Jun 2020 20:56:00 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/40-FPS-Tensorflow-based-Fast-Pose-estimation-OpenVINO-Tensorflow/m-p/1139155#M10111</guid>
      <dc:creator>Hyodo__Katsuya</dc:creator>
      <dc:date>2020-06-10T20:56:00Z</dc:date>
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