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Autres articles (103)

  • MediaSPIP 0.1 Beta version

    25 avril 2011, par

    MediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
    The zip file provided here only contains the sources of MediaSPIP in its standalone version.
    To get a working installation, you must manually install all-software dependencies on the server.
    If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...)

  • Multilang : améliorer l’interface pour les blocs multilingues

    18 février 2011, par

    Multilang est un plugin supplémentaire qui n’est pas activé par défaut lors de l’initialisation de MediaSPIP.
    Après son activation, une préconfiguration est mise en place automatiquement par MediaSPIP init permettant à la nouvelle fonctionnalité d’être automatiquement opérationnelle. Il n’est donc pas obligatoire de passer par une étape de configuration pour cela.

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

Sur d’autres sites (8445)

  • ffmpeg creating video with 1 minute empty space at the end of the video

    13 octobre 2022, par David Ruan

    I am using this command to generate a video with a cover page and an audio.

    


    ffmpeg -loop 1 -r 1 -i c :/temp/coverImage.jpeg -i C :/temp/out/input.mp3 -vf "pad=ceil(iw/2)*2:ceil(ih/2)*2" -c:a copy -shortest -c:v libx264 C :/temp/VideoOut/output.mp4

    


    But the generated mp4 file has 1 minute's of empty space after the audio finished.

    


    Actually I have multiple audio files, and after the conversion, every video has that 1 minute empty space.

    


    Any idea how to solve this ? Thanks a lot.

    


  • tfds.features.Video Usage for video decoding in tensorflow 2

    20 mai 2020, par Sandeep

    I am trying to decode a video in tensorflow 2 using tfds.features.Video , so that the output is a "tf.Tensor of type tf.uint8 and shape [num_frames, height, width, channels]" using following code :

    



    import numpy as np
import pandas as pd
import tensorflow as tf
import tensorflow_datasets as tfds
df_trains= pd.DataFrame()
df_trains['video_files']= ['aa.mp4']

files_ds = tf.data.Dataset.from_tensor_slices(df_trains.video_files)

video_class = tfds.features.Video(shape=(None, 1080, 1920,3), encoding_format='png', ffmpeg_extra_args=())

a= video_class.decode_example(files_ds)


    



    However it generates following error : 
"AssertionError: Feature Video can only be decoded when defined as top-level feature, through info.features.decode_example()"

    



    I am unable to solve it, please help in this regard.

    


  • Sinch Video calling not working with ffmpeg video cropping

    29 mars 2016, par Mubina Shaikh

    My project having ffmpeg video cropping libs,I have added the sinch files under src/main/jniLibs,what happen is project runs successfully but when initiate the video call of sinch blank white color screen appears.Also try to add this code in .mk files of video cropping libs as there is no .mk file is there for sinch,but it still not working.

    The code added in .mk files to load the sinch lib module.

     include $(CLEAR_VARS)
    

    
 LOCAL_MODULE := libsinch-android-rtc
    

    
 LOCAL_STATIC_LIBRARIES := sinch-android-rtc-3.9.3
    

    
 LOCAL_LDLIBS := -llog
    

    
 include $(BUILD_SHARED_LIBRARY)

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