<h3 dir="auto">System Information</h3>
<p dir="auto">OpenCV python version: 4.7.0<br>
Operating System / Platform: Ubuntu 22.04<br>
OpenVINO version: 2022.2.0 (need to use this specific version)<br>
Python version: 3.9.16 (need to use this, it is the highest supported by OpenVINO 2022.2.0)</p>
<h3 dir="auto">Detailed description</h3>
<p dir="auto">I am working in a virtual environment <code class="notranslate">py3.9_openvino_env</code>.</p>
<p dir="auto">Following <a href="https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO#building-on-ubuntu">these instructions</a> with flags</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="-D BUILD_INFO_SKIP_EXTRA_MODULES=ON \
-D BUILD_EXAMPLES=OFF \
-D BUILD_JASPER=OFF \
-D BUILD_JAVA=OFF \
-D BUILD_JPEG=ON \
-D BUILD_APPS_LIST=version \
-D BUILD_opencv_apps=ON \
-D BUILD_opencv_java=OFF \
-D BUILD_OPENEXR=OFF \
-D BUILD_PNG=ON \
-D BUILD_TBB=OFF \
-D BUILD_WEBP=OFF \
-D BUILD_ZLIB=ON \
-D WITH_1394=OFF \
-D WITH_CUDA=OFF \
-D WITH_EIGEN=OFF \
-D WITH_GPHOTO2=OFF \
-D WITH_GSTREAMER=ON \
-D OPENCV_GAPI_GSTREAMER=OFF \
-D WITH_GTK_2_X=OFF \
-D WITH_IPP=OFF \
-D WITH_JASPER=OFF \
-D WITH_LAPACK=OFF \
-D WITH_MATLAB=OFF \
-D WITH_MFX=ON \
-D WITH_OPENCLAMDBLAS=OFF \
-D WITH_OPENCLAMDFFT=OFF \
-D WITH_OPENEXR=OFF \
-D WITH_OPENJPEG=OFF \
-D WITH_QUIRC=OFF \
-D WITH_TBB=OFF \
-D WITH_TIFF=OFF \
-D WITH_VTK=OFF \
-D WITH_WEBP=OFF \
-D CMAKE_USE_RELATIVE_PATHS=ON \
-D CMAKE_SKIP_INSTALL_RPATH=ON \
-D ENABLE_BUILD_HARDENING=ON \
-D ENABLE_CONFIG_VERIFICATION=ON \
-D ENABLE_PRECOMPILED_HEADERS=OFF \
-D ENABLE_CXX11=ON \
-D INSTALL_PDB=ON \
-D INSTALL_TESTS=ON \
-D INSTALL_C_EXAMPLES=ON \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D CMAKE_INSTALL_PREFIX=install \
-D OPENCV_SKIP_PKGCONFIG_GENERATION=ON \
-D OPENCV_SKIP_PYTHON_LOADER=OFF \
-D OPENCV_SKIP_CMAKE_ROOT_CONFIG=ON \
-D OPENCV_GENERATE_SETUPVARS=OFF \
-D OPENCV_BIN_INSTALL_PATH=bin \
-D OPENCV_INCLUDE_INSTALL_PATH=include \
-D OPENCV_LIB_INSTALL_PATH=lib \
-D OPENCV_CONFIG_INSTALL_PATH=cmake \
-D OPENCV_3P_LIB_INSTALL_PATH=3rdparty \
-D OPENCV_SAMPLES_SRC_INSTALL_PATH=samples \
-D OPENCV_DOC_INSTALL_PATH=doc \
-D OPENCV_OTHER_INSTALL_PATH=etc \
-D OPENCV_LICENSES_INSTALL_PATH=etc/licenses \
-D OPENCV_INSTALL_FFMPEG_DOWNLOAD_SCRIPT=ON \
-D BUILD_opencv_world=OFF \
-D BUILD_opencv_python2=OFF \
-D BUILD_opencv_python3=ON \
-D PYTHON3_PACKAGES_PATH=install/python/python3 \
-D PYTHON3_LIMITED_API=ON \
-D HIGHGUI_PLUGIN_LIST=all \
-D OPENCV_PYTHON_INSTALL_PATH=python \
-D CPU_BASELINE=SSE4_2 \
-D OPENCV_IPP_GAUSSIAN_BLUR=ON \
-D WITH_OPENVINO=ON \
-D VIDEOIO_PLUGIN_LIST=gstreamer,mfx \
-D CMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined \
-D CMAKE_BUILD_TYPE=Release ~/opencv"><pre class="notranslate"><code class="notranslate">-D BUILD_INFO_SKIP_EXTRA_MODULES=ON \
-D BUILD_EXAMPLES=OFF \
-D BUILD_JASPER=OFF \
-D BUILD_JAVA=OFF \
-D BUILD_JPEG=ON \
-D BUILD_APPS_LIST=version \
-D BUILD_opencv_apps=ON \
-D BUILD_opencv_java=OFF \
-D BUILD_OPENEXR=OFF \
-D BUILD_PNG=ON \
-D BUILD_TBB=OFF \
-D BUILD_WEBP=OFF \
-D BUILD_ZLIB=ON \
-D WITH_1394=OFF \
-D WITH_CUDA=OFF \
-D WITH_EIGEN=OFF \
-D WITH_GPHOTO2=OFF \
-D WITH_GSTREAMER=ON \
-D OPENCV_GAPI_GSTREAMER=OFF \
-D WITH_GTK_2_X=OFF \
-D WITH_IPP=OFF \
-D WITH_JASPER=OFF \
-D WITH_LAPACK=OFF \
-D WITH_MATLAB=OFF \
-D WITH_MFX=ON \
-D WITH_OPENCLAMDBLAS=OFF \
-D WITH_OPENCLAMDFFT=OFF \
-D WITH_OPENEXR=OFF \
-D WITH_OPENJPEG=OFF \
-D WITH_QUIRC=OFF \
-D WITH_TBB=OFF \
-D WITH_TIFF=OFF \
-D WITH_VTK=OFF \
-D WITH_WEBP=OFF \
-D CMAKE_USE_RELATIVE_PATHS=ON \
-D CMAKE_SKIP_INSTALL_RPATH=ON \
-D ENABLE_BUILD_HARDENING=ON \
-D ENABLE_CONFIG_VERIFICATION=ON \
-D ENABLE_PRECOMPILED_HEADERS=OFF \
-D ENABLE_CXX11=ON \
-D INSTALL_PDB=ON \
-D INSTALL_TESTS=ON \
-D INSTALL_C_EXAMPLES=ON \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D CMAKE_INSTALL_PREFIX=install \
-D OPENCV_SKIP_PKGCONFIG_GENERATION=ON \
-D OPENCV_SKIP_PYTHON_LOADER=OFF \
-D OPENCV_SKIP_CMAKE_ROOT_CONFIG=ON \
-D OPENCV_GENERATE_SETUPVARS=OFF \
-D OPENCV_BIN_INSTALL_PATH=bin \
-D OPENCV_INCLUDE_INSTALL_PATH=include \
-D OPENCV_LIB_INSTALL_PATH=lib \
-D OPENCV_CONFIG_INSTALL_PATH=cmake \
-D OPENCV_3P_LIB_INSTALL_PATH=3rdparty \
-D OPENCV_SAMPLES_SRC_INSTALL_PATH=samples \
-D OPENCV_DOC_INSTALL_PATH=doc \
-D OPENCV_OTHER_INSTALL_PATH=etc \
-D OPENCV_LICENSES_INSTALL_PATH=etc/licenses \
-D OPENCV_INSTALL_FFMPEG_DOWNLOAD_SCRIPT=ON \
-D BUILD_opencv_world=OFF \
-D BUILD_opencv_python2=OFF \
-D BUILD_opencv_python3=ON \
-D PYTHON3_PACKAGES_PATH=install/python/python3 \
-D PYTHON3_LIMITED_API=ON \
-D HIGHGUI_PLUGIN_LIST=all \
-D OPENCV_PYTHON_INSTALL_PATH=python \
-D CPU_BASELINE=SSE4_2 \
-D OPENCV_IPP_GAUSSIAN_BLUR=ON \
-D WITH_OPENVINO=ON \
-D VIDEOIO_PLUGIN_LIST=gstreamer,mfx \
-D CMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined \
-D CMAKE_BUILD_TYPE=Release ~/opencv
</code></pre></div>
<p dir="auto">After the installation I do not see the "Intel Inference Engine" under "Other third-party libraries":</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="$ python -c &quot;import cv2; print(cv2.__file__)&quot;
/home/user0/py3.9_openvino_env/lib/python3.9/site-packages/cv2/__init__.py
$ python -c &quot;import cv2; print(cv2.getBuildInformation())&quot;

General configuration for OpenCV 4.7.0 =====================================
  Version control:               4.7.0-dirty

  Extra modules:
    Location (extra):            /io/opencv_contrib/modules
    Version control (extra):     4.7.0
...
  Other third-party libraries:
    Intel IPP:                   2020.0.0 Gold [2020.0.0]
           at:                   /io/_skbuild/linux-x86_64-3.7/cmake-build/3rdparty/ippicv/ippicv_lnx/icv
    Intel IPP IW:                sources (2020.0.0)
              at:                /io/_skbuild/linux-x86_64-3.7/cmake-build/3rdparty/ippicv/ippicv_lnx/iw
    VA:                          NO
    Lapack:                      YES (/lib64/libopenblas.so)
    Eigen:                       NO
    Custom HAL:                  NO
    Protobuf:                    build (3.19.1)

  OpenCL:                        YES (no extra features)
    Include path:                /io/opencv/3rdparty/include/opencl/1.2
    Link libraries:              Dynamic load
..."><pre class="notranslate"><code class="notranslate">$ python -c "import cv2; print(cv2.__file__)"
/home/user0/py3.9_openvino_env/lib/python3.9/site-packages/cv2/__init__.py
$ python -c "import cv2; print(cv2.getBuildInformation())"

General configuration for OpenCV 4.7.0 =====================================
  Version control:               4.7.0-dirty

  Extra modules:
    Location (extra):            /io/opencv_contrib/modules
    Version control (extra):     4.7.0
...
  Other third-party libraries:
    Intel IPP:                   2020.0.0 Gold [2020.0.0]
           at:                   /io/_skbuild/linux-x86_64-3.7/cmake-build/3rdparty/ippicv/ippicv_lnx/icv
    Intel IPP IW:                sources (2020.0.0)
              at:                /io/_skbuild/linux-x86_64-3.7/cmake-build/3rdparty/ippicv/ippicv_lnx/iw
    VA:                          NO
    Lapack:                      YES (/lib64/libopenblas.so)
    Eigen:                       NO
    Custom HAL:                  NO
    Protobuf:                    build (3.19.1)

  OpenCL:                        YES (no extra features)
    Include path:                /io/opencv/3rdparty/include/opencl/1.2
    Link libraries:              Dynamic load
...
</code></pre></div>
<p dir="auto">And when running a test code (provided below, simple test just to see if model is read correctly) I get an error:</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="$ python opencv_app.py
Traceback (most recent call last):
  File &quot;/home/user0/Downloads/model_files/opencv_app.py&quot;, line 19, in &lt;module&gt;
    net = cv2.dnn.readNetFromModelOptimizer(bin = model_bin, xml = config_xml)
cv2.error: OpenCV(4.7.0) /io/opencv/modules/dnn/src/plugin_wrapper.impl.hpp:313: error: (-213:The function/feature is not implemented) Backend (plugin) is not available: 'openvino' in function 'createPluginDNNNetworkBackend'"><pre class="notranslate">$ python opencv_app.py
Traceback (most recent call last):
  File <span class="pl-s"><span class="pl-pds">"</span>/home/user0/Downloads/model_files/opencv_app.py<span class="pl-pds">"</span></span>, line 19, <span class="pl-k">in</span> <span class="pl-k">&lt;</span>module<span class="pl-k">&gt;</span>
    net = cv2.dnn.readNetFromModelOptimizer(bin = model_bin, xml = config_xml)
cv2.error: OpenCV(4.7.0) /io/opencv/modules/dnn/src/plugin_wrapper.impl.hpp:313: error: (-213:The function/feature is not implemented) Backend (plugin) is not available: <span class="pl-s"><span class="pl-pds">'</span>openvino<span class="pl-pds">'</span></span> <span class="pl-k">in</span> <span class="pl-k">function</span> <span class="pl-en">'createPluginDNNNetworkBackend'</span></pre></div>
<p dir="auto">Reviewing <a href="https://github.com/opencv/opencv/wiki/ChangeLog#version470">change log</a>, I see OpenCV 4.6.0 has <em>initial</em> support of OpenVINO 2022.<em>1</em>, which is one version older than I am using. Can the behavior I am experiencing be caused by the fact that OpenVINO 2022.<em>2</em> is not explicitly supported by OpenCV yet?</p>
<p dir="auto">P.S. Another short set of instructions I tried following <a href="https://github.com/opencv/opencv/wiki/Intel-OpenVINO-backend#linux">from here</a> with</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="$ echo $ngraph_DIR
/home/user0/intel/openvino_2022.2.0/runtime/cmake"><pre class="notranslate">$ <span class="pl-c1">echo</span> <span class="pl-smi">$ngraph_DIR</span>
/home/user0/intel/openvino_2022.2.0/runtime/cmake</pre></div>
<p dir="auto">(OpenVINO changed the folder structure not long ago so "deployment_tools" folder does not exist anymore) but Intel Inference Engine still not appearing in <code class="notranslate">cv2.getBuildInformation()</code></p>
<h3 dir="auto">Steps to reproduce</h3>
<p dir="auto">opencv_app.py:</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import cv2

model_bin = '/home/user0/Downloads/model/FP16/ssd_mobilenet_v1_coco.bin'
config_xml = '/home/user0/Downloads/model/FP16/ssd_mobilenet_v1_coco.xml'

net = cv2.dnn.readNetFromModelOptimizer(bin = model_bin, xml = config_xml)

net.setPreferableBackend(cv2.dnn.DNN_BACKEND_INFERENCE_ENGINE)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_MYRIAD)"><pre class="notranslate"><span class="pl-k">import</span> <span class="pl-s1">cv2</span>

<span class="pl-s1">model_bin</span> <span class="pl-c1">=</span> <span class="pl-s">'/home/user0/Downloads/model/FP16/ssd_mobilenet_v1_coco.bin'</span>
<span class="pl-s1">config_xml</span> <span class="pl-c1">=</span> <span class="pl-s">'/home/user0/Downloads/model/FP16/ssd_mobilenet_v1_coco.xml'</span>

<span class="pl-s1">net</span> <span class="pl-c1">=</span> <span class="pl-s1">cv2</span>.<span class="pl-s1">dnn</span>.<span class="pl-en">readNetFromModelOptimizer</span>(<span class="pl-s1">bin</span> <span class="pl-c1">=</span> <span class="pl-s1">model_bin</span>, <span class="pl-s1">xml</span> <span class="pl-c1">=</span> <span class="pl-s1">config_xml</span>)

<span class="pl-s1">net</span>.<span class="pl-en">setPreferableBackend</span>(<span class="pl-s1">cv2</span>.<span class="pl-s1">dnn</span>.<span class="pl-v">DNN_BACKEND_INFERENCE_ENGINE</span>)
<span class="pl-s1">net</span>.<span class="pl-en">setPreferableTarget</span>(<span class="pl-s1">cv2</span>.<span class="pl-s1">dnn</span>.<span class="pl-v">DNN_TARGET_MYRIAD</span>)</pre></div>
<p dir="auto">The .bin and .xml files are here: <a href="https://github.com/opencv/opencv/files/11558718/ssd_mobilenet_v1_coco.zip">ssd_mobilenet_v1_coco.zip</a>. This <a href="https://docs.openvino.ai/latest/omz_models_model_ssd_mobilenet_v1_coco.html" rel="nofollow">model</a> is distributed by OpenVINO. I used the OpenVINO tool <code class="notranslate">omz_downloader</code> to download original TensorFlow model files and <code class="notranslate">omz_converter</code> to convert it to the IR format (.bin &amp; .xml).<br>
Error:</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="$ python opencv_app.py
Traceback (most recent call last):
  File &quot;/home/user0/Downloads/model/opencv_app.py&quot;, line 19, in &lt;module&gt;
    net = cv2.dnn.readNetFromModelOptimizer(bin = model_bin, xml = config_xml)
cv2.error: OpenCV(4.7.0) /io/opencv/modules/dnn/src/plugin_wrapper.impl.hpp:313: error: (-213:The function/feature is not implemented) Backend (plugin) is not available: 'openvino' in function 'createPluginDNNNetworkBackend'"><pre class="notranslate">$ python opencv_app.py
Traceback (most recent call last):
  File <span class="pl-s"><span class="pl-pds">"</span>/home/user0/Downloads/model/opencv_app.py<span class="pl-pds">"</span></span>, line 19, <span class="pl-k">in</span> <span class="pl-k">&lt;</span>module<span class="pl-k">&gt;</span>
    net = cv2.dnn.readNetFromModelOptimizer(bin = model_bin, xml = config_xml)
cv2.error: OpenCV(4.7.0) /io/opencv/modules/dnn/src/plugin_wrapper.impl.hpp:313: error: (-213:The function/feature is not implemented) Backend (plugin) is not available: <span class="pl-s"><span class="pl-pds">'</span>openvino<span class="pl-pds">'</span></span> <span class="pl-k">in</span> <span class="pl-k">function</span> <span class="pl-en">'createPluginDNNNetworkBackend'</span></pre></div>
<h3 dir="auto">Issue submission checklist</h3>
<ul class="contains-task-list">
<li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> I report the issue, it's not a question</li>
<li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution</li>
<li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> I updated to the latest OpenCV version and the issue is still there</li>
<li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> There is reproducer code and related data files (videos, images, onnx, etc)</li>
</ul>
<h5 dir="auto">System information (version)</h5>
<ul dir="auto">
<li>OpenCV =&gt; 3.4.3-openvino</li>
<li>Operating System / Platform =&gt; Linux Ubuntu 16.04</li>
</ul>
<h5 dir="auto">Detailed description</h5>
<p dir="auto">Hello, I'm using Intel Up-Board Squared to develop a programm which needs to compress video by using INTEL_MFX apiPreference to speed up the process.<br>
I've compiled OpenCV with Intel Media SDK backend, and the compiler didn't give any errors to my code.<br>
<code class="notranslate">int fourcc = cv::VideoWriter::fourcc('H','2','6','4');</code><br>
<code class="notranslate">cv::VideoWriter writer("filename.mp4", cv::INTEL_MFX, fourcc, 30, cv::Size(1280,720), true);</code><br>
What interesting is,  when I run the code, it will show a line with <code class="notranslate">MFX: unsupported extension: /dev/video0</code>, but the video could be written in a new file.<br>
The video file which was written is very large. A video about 30 seconds can be 70 MB large. I think that the video has been written without compressing with H264.</p>
<p dir="auto">I also installed Intel Quick Sync Video for ffmpeg.</p>
<div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="up-board@upboard-UP-APL01:~$ ffmpeg -codecs | grep 'qsv'ffmpeg version n3.4-dev-2711-g587fada Copyright (c) 2000-2017 the FFmpeg developers
  built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.10) 20160609
  configuration: --enable-libmfx
  libavutil      55. 78.100 / 55. 78.100
  libavcodec     57.107.100 / 57.107.100
  libavformat    57. 83.100 / 57. 83.100
  libavdevice    57. 10.100 / 57. 10.100
  libavfilter     6.107.100 /  6.107.100
  libswscale      4.  8.100 /  4.  8.100
  libswresample   2.  9.100 /  2.  9.100
 DEV.LS h264                 H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 (decoders: h264 h264_v4l2m2m h264_qsv h264_vdpau h264_cuvid ) (encoders: h264_nvenc h264_qsv h264_v4l2m2m h264_vaapi nvenc nvenc_h264 )
 DEV.L. hevc                 H.265 / HEVC (High Efficiency Video Coding) (decoders: hevc hevc_qsv hevc_cuvid ) (encoders: nvenc_hevc hevc_nvenc hevc_qsv hevc_vaapi )
 DEV.L. mpeg2video           MPEG-2 video (decoders: mpeg2video mpegvideo mpegvideo_vdpau mpeg2_v4l2m2m mpeg2_qsv mpeg2_cuvid ) (encoders: mpeg2video mpeg2_qsv mpeg2_vaapi )
 D.V.L. vc1                  SMPTE VC-1 (decoders: vc1 vc1_vdpau vc1_qsv vc1_v4l2m2m vc1_cuvid )
 DEV.L. vp8                  On2 VP8 (decoders: vp8 vp8_v4l2m2m vp8_cuvid vp8_qsv ) (encoders: vp8_v4l2m2m vp8_vaapi )"><pre class="notranslate">up-board@upboard-UP-APL01:<span class="pl-k">~</span>$ ffmpeg -codecs <span class="pl-k">|</span> grep <span class="pl-s"><span class="pl-pds">'</span>qsv<span class="pl-pds">'</span></span>ffmpeg version n3.4-dev-2711-g587fada Copyright (c) 2000-2017 the FFmpeg developers
  built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.10) 20160609
  configuration: --enable-libmfx
  libavutil      55. 78.100 / 55. 78.100
  libavcodec     57.107.100 / 57.107.100
  libavformat    57. 83.100 / 57. 83.100
  libavdevice    57. 10.100 / 57. 10.100
  libavfilter     6.107.100 /  6.107.100
  libswscale      4.  8.100 /  4.  8.100
  libswresample   2.  9.100 /  2.  9.100
 DEV.LS h264                 H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 (decoders: h264 h264_v4l2m2m h264_qsv h264_vdpau h264_cuvid ) (encoders: h264_nvenc h264_qsv h264_v4l2m2m h264_vaapi nvenc nvenc_h264 )
 DEV.L. hevc                 H.265 / HEVC (High Efficiency Video Coding) (decoders: hevc hevc_qsv hevc_cuvid ) (encoders: nvenc_hevc hevc_nvenc hevc_qsv hevc_vaapi )
 DEV.L. mpeg2video           MPEG-2 video (decoders: mpeg2video mpegvideo mpegvideo_vdpau mpeg2_v4l2m2m mpeg2_qsv mpeg2_cuvid ) (encoders: mpeg2video mpeg2_qsv mpeg2_vaapi )
 D.V.L. vc1                  SMPTE VC-1 (decoders: vc1 vc1_vdpau vc1_qsv vc1_v4l2m2m vc1_cuvid )
 DEV.L. vp8                  On2 VP8 (decoders: vp8 vp8_v4l2m2m vp8_cuvid vp8_qsv ) (encoders: vp8_v4l2m2m vp8_vaapi )</pre></div>
<p dir="auto">I think that it's correctly installed.<br>
Is there anyone who has experience with Media SDK backend for OpenCV? Hope someone can help me.</p>
<p dir="auto">Greetings,<br>
Yiyun</p>
<p dir="auto">Xref: <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="384875946" data-permission-text="Title is private" data-url="https://github.com/Intel-Media-SDK/MediaSDK/issues/944" data-hovercard-type="issue" data-hovercard-url="/Intel-Media-SDK/MediaSDK/issues/944/hovercard" href="https://github.com/Intel-Media-SDK/MediaSDK/issues/944">Intel-Media-SDK/MediaSDK#944</a></p>