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    We want to develop an embedded camera integrating a processing unit
    like IMX.6 or FPGA for image processing tasks.<br>
    In this regard, I'm testing IMX6.Q performances with face detection
    algorithm (using OpenCV :
    <a class="moz-txt-link-freetext" href="http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html">http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html</a>)
    executing on the CPU. <br>
    The images processed by the algorithm are picked from the DV5642
    camera of the SabreSD, using v4l library :
    <a class="moz-txt-link-freetext" href="https://github.com/andreluizeng/v4l_opencv_wrapper_yocto">https://github.com/andreluizeng/v4l_opencv_wrapper_yocto</a><br>
    As I said, results are really bad : between 500ms and 1.5 processing
    time per image.<br>
    In view of these performances, we are looking for algorithm using
    IMX6.Q Vivante GPU to perform processing tasks on the images (using
    OpenGL ES 2.0/3.0 or OpenCL EP).<br>
    <br>
    Did someone used processing image algorithm using CPU on the IMX6 ?
    <br>
    Can you share me your result so I can compare with mine ?<br>
    <br>
    Did someone used processing image algorithm using Vivante GPU on the
    IMX6 ? Which library do you use ? Did you implement your own
    algorithm ?<br>
    If someone uses GPU, can you please share me performances delivered
    ?<br>
    <br>
    Thanks a lot.<br>
    <br>
    Regards,<br>
    <br>
    <div class="moz-signature">-- <br>
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    <div class="moz-cite-prefix">Le 31/08/2015 12:01, Duronea
      Jean-baptiste a écrit :<br>
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      Hello,<br>
      <div class="moz-forward-container"> <br>
        I tested Opencv face detection algorithm on Freescale IMX.6Q
        SabreSD Evalboard.<br>
        Results are really bad, between 500ms (320x240px) and
        1.5sec(640x480px) of processing time per image.<br>
        I'm wondering if this is the correct time, or i'm doing
        something bad, or missing something.<br>
        Can you share me your results so i can compare ?<br>
        <br>
        Tranks a lot !<br>
        <br>
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                DURONEA</b></span></p>
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              d'étude</span></p>
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                color="#555555">+33 5 61 43 39 08</font></span></p>
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