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  • Le profil des utilisateurs

    12 avril 2011, par

    Chaque utilisateur dispose d’une page de profil lui permettant de modifier ses informations personnelle. Dans le menu de haut de page par défaut, un élément de menu est automatiquement créé à l’initialisation de MediaSPIP, visible uniquement si le visiteur est identifié sur le site.
    L’utilisateur a accès à la modification de profil depuis sa page auteur, un lien dans la navigation "Modifier votre profil" est (...)

  • Configurer la prise en compte des langues

    15 novembre 2010, par

    Accéder à la configuration et ajouter des langues prises en compte
    Afin de configurer la prise en compte de nouvelles langues, il est nécessaire de se rendre dans la partie "Administrer" du site.
    De là, dans le menu de navigation, vous pouvez accéder à une partie "Gestion des langues" permettant d’activer la prise en compte de nouvelles langues.
    Chaque nouvelle langue ajoutée reste désactivable tant qu’aucun objet n’est créé dans cette langue. Dans ce cas, elle devient grisée dans la configuration et (...)

  • Les tâches Cron régulières de la ferme

    1er décembre 2010, par

    La gestion de la ferme passe par l’exécution à intervalle régulier de plusieurs tâches répétitives dites Cron.
    Le super Cron (gestion_mutu_super_cron)
    Cette tâche, planifiée chaque minute, a pour simple effet d’appeler le Cron de l’ensemble des instances de la mutualisation régulièrement. Couplée avec un Cron système sur le site central de la mutualisation, cela permet de simplement générer des visites régulières sur les différents sites et éviter que les tâches des sites peu visités soient trop (...)

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  • 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 !

  • 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.

    


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