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Autres articles (68)

  • Creating farms of unique websites

    13 avril 2011, par

    MediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
    This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)

  • Encoding and processing into web-friendly formats

    13 avril 2011, par

    MediaSPIP automatically converts uploaded files to internet-compatible formats.
    Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
    Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
    Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
    All uploaded files are stored online in their original format, so you can (...)

  • Contribute to translation

    13 avril 2011

    You can help us to improve the language used in the software interface to make MediaSPIP more accessible and user-friendly. You can also translate the interface into any language that allows it to spread to new linguistic communities.
    To do this, we use the translation interface of SPIP where the all the language modules of MediaSPIP are available. Just subscribe to the mailing list and request further informantion on translation.
    MediaSPIP is currently available in French and English (...)

Sur d’autres sites (3662)

  • use OpenCV to capture a good frame of faces from IP camera [on hold]

    17 octobre 2018, par wiwengweng

    everyone. I am working on some research about getting frames from IP camera, and then detect and recognize faces. There is some implements on the last two steps. And my first problem is to judge if a frame with faces is good enough for detection. Video stream is read by OpenCV and/or ffmpeg, and there are many ways to capture frames one by one.

    As we know, people are always walking through, so frames captured from IP camera is not always good. But the good news is the if we extract the frames from the IP camera video file, we find some frames good enough for detection.

    is it possible to analyse by using the opencv CascadeClassifier to detect if the face is clear or not ? Right now I just use minSize and maxSize to capture the face, however I cannot judge if it is clear.

    I also try de-blurring pictures of frames using GAN, but that will need more time, so I think that is not an ideal way. So any advice is welcome.

  • ffmpeg blurring a virtual camera

    30 avril 2021, par Paul Smith

    At the moment, I am directing the video of my physical webcam to a virtual camera by using the following command :

    


    ffmpeg -i /dev/video1 -f v4l2 /dev/video0


    


    It works fine. However, I would like to add a square or a circle to show my face clearly but blurring everything around the square or the circle.

    


    Could someone please help me ?

    


    Thanks in advance !

    


  • IOS Capture data from camera encoder ffmpeg send to node js server

    9 juillet 2016, par TranTho

    Here is my code using swift to get out put when capture from camera

    func captureOutput(captureOutput: AVCaptureOutput!, didOutputSampleBuffer sampleBuffer: CMSampleBuffer!, fromConnection connection: AVCaptureConnection!) {
    
        // Here you collect each frame and process it
    

    
}

    I need encoder this data get from camera end using ffmpeg to send to node js server. Please help me

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