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  • MediaSPIP Core : La Configuration

    9 novembre 2010, par

    MediaSPIP Core fournit par défaut trois pages différentes de configuration (ces pages utilisent le plugin de configuration CFG pour fonctionner) : une page spécifique à la configuration générale du squelettes ; une page spécifique à la configuration de la page d’accueil du site ; une page spécifique à la configuration des secteurs ;
    Il fournit également une page supplémentaire qui n’apparait que lorsque certains plugins sont activés permettant de contrôler l’affichage et les fonctionnalités spécifiques (...)

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

  • HTML5 audio and video support

    13 avril 2011, par

    MediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
    The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
    For older browsers the Flowplayer flash fallback is used.
    MediaSPIP allows for media playback on major mobile platforms with the above (...)

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  • How to play video file with audio with DearPyGUI (Python) ?

    1er mars 2023, par Vi Tiet

    I'm using DearPyGUI to make a simple media player that can play video file (mp4, etc.) together with it's audio. The pre-requisite is that DearPyGUI is a must, however video feature will not exist until v2.0, which is still far in the future.

    


    Currently, I can only render the frames using OpenCV library for Python, however, the problem is how can I play the audio as well as play it in sync with the output video frames ?

    


    For context, I'm quite new to Python, and I don't know much about video and audio streaming, but I've thought of some approaches to this problem by looking through help posts online (However, I still have no idea how I can implement any of these seamlessly) :

    


      


    1. OpenCV for video frames, and audio ??? some libraries like ffmpeg-python or miniaudio to play sound... (How...?)

      


      2. 


    2. Extract video frames and audio here and then use the raw data to play it (How...?)

      


      3. 


    3. This example here is pretty close to what I want excluding the playing video and audio part, but I have no idea where to go from there. The video stream and the audio stream are instances of ffmpeg.nodes.FilterableStream, and they appear to hold addresses to somewhere. (No idea...)

      


      4. 


    4. Another very close idea is using ffpyplayer I was able to get the video frame. However, the below code yields a blueish purple color tint to the video, and the frame rate is very slow compared to original (So close...)

      


      5. 


    


    import time
import numpy as np
import cv2 as cv
from ffpyplayer.player import MediaPlayer


# https://github.com/Kazuhito00/Image-Processing-Node-Editor/blob/main/node_editor/util.py 
def cv2dpg(frame): 

    data = cv.resize(frame, (VIDEO_WIDTH, VIDEO_HEIGHT))
    data = np.flip(frame, 2)
    data = data.ravel()
    data = np.asfarray(data, dtype=np.float32)

    return np.true_divide(data, 255.0)


# https://stackoverflow.com/questions/59611075/how-would-i-go-about-playing-a-video-stream-with-ffpyplayer
# https://matham.github.io/ffpyplayer/examples.html#examples
def play_video(loaded_file_path):

    global player, is_playing
    player = MediaPlayer(loaded_file_path)

    while is_playing:

        frame, val = player.get_frame()

        if val == 'eof':
            is_playing = False
            break

        elif not frame:
            time.sleep(0.01)

        elif val != 'eof' and frame is not None:
            img, t = frame
            w = img.get_size()[0]
            h = img.get_size()[1]
            cv_mat = np.uint8(np.asarray(list(img.to_bytearray()[0])).reshape((h, w, 3)))
            texture_data = cv2dpg(cv_mat)
            dpg.set_value(VIDEO_CANVAS_TAG, texture_data)

    dpg.set_value(VIDEO_CANVAS_TAG, DEFAULT_VIDEO_TEXTURE)


    


    I still need to do more research, but any pointer to somewhere good to start off (either handling raw data or using different libraries) would be greatly appreciated !

    


    EDIT :
For more context, I'm using raw texture like this example of DearPyGUI official documentation to render the video frames that were extracted in the while loop.

    


  • Piwik Developer Guides : helping you make the most of the Piwik platform

    16 avril 2015, par Piwik Core Team — Community, Development, Plugins

    At Piwik we are creating the leading open analytics platform that gives every user full control over their data. Today we are excited to announce the official launch of the Piwik Developer Guides at developer.piwik.org. The Developer Guides complement existing User Guides and more than 250 FAQs.

    Piwik Developer Guides

    The Developer guides will help you whenever you need to :

    Helping Developers innovate with Piwik

    Piwik is an open platform – it is open because users control their data, users control the Piwik software (it is Free/libre software) and also because users can extend the platform via the powerful plugins architecture. Piwik users can already choose from 49 plugins available on the Marketplace ! (as of 2015 April 16th)

    Now that developer guides are officially released, we are hopeful that even more talented developers will be able to create Plugins and distribute them on the Marketplace.

    Share your feedback

    We are committed to providing excellent Developer Guides and to achieve this, we need to hear your feedback and suggestions. To send us a message, click on the “Give Feedback” link in the footer of pages (we are listening !).

    What’s coming next ?

    • Platform Developer Changelog will continue to list all changes to the Piwik Platform and APIs.
    • We will regularly update the guides when there are changes in the platform.
    • We will improve existing guides based on users’ feedback and suggestions (tasks are tracked in this issue tracker on Github.)

    We hope you find the guides useful, and thank you for being part of the Piwik community !

  • Piwik Developer Guides : helping you make the most of the Piwik platform

    16 avril 2015, par Piwik Core Team — Community, Development, Plugins

    At Piwik we are creating the leading open analytics platform that gives every user full control over their data. Today we are excited to announce the official launch of the Piwik Developer Guides at developer.piwik.org. The Developer Guides complement existing User Guides and more than 250 FAQs.

    Piwik Developer Guides

    The Developer guides will help you whenever you need to :

    Helping Developers innovate with Piwik

    Piwik is an open platform – it is open because users control their data, users control the Piwik software (it is Free/libre software) and also because users can extend the platform via the powerful plugins architecture. Piwik users can already choose from 49 plugins available on the Marketplace ! (as of 2015 April 16th)

    Now that developer guides are officially released, we are hopeful that even more talented developers will be able to create Plugins and distribute them on the Marketplace.

    Share your feedback

    We are committed to providing excellent Developer Guides and to achieve this, we need to hear your feedback and suggestions. To send us a message, click on the “Give Feedback” link in the footer of pages (we are listening !).

    What’s coming next ?

    • Platform Developer Changelog will continue to list all changes to the Piwik Platform and APIs.
    • We will regularly update the guides when there are changes in the platform.
    • We will improve existing guides based on users’ feedback and suggestions (tasks are tracked in this issue tracker on Github.)

    We hope you find the guides useful, and thank you for being part of the Piwik community !

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