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Sur d’autres sites (8107)

  • Google Speech - Streaming Request Returns EOF

    9 octobre 2017, par Josh

    Using Go, I’m taking a RTMP stream, transcoding it to FLAC (using ffmpeg) and attempting to stream to Google’s Speech API to transcribe the audio. However, I keep getting EOF errors when sending the data. I can’t find any information on this error in the docs so I’m not exactly sure what’s causing it.

    I’m chunking the received data into 3s clips (length isn’t relevant as long as it’s less than the maximum length of a streaming recognition request).

    Here is the core of my code :

    func main() {

       done := make(chan os.Signal)
       received := make(chan []byte)

       go receive(received)
       go transcribe(received)

       signal.Notify(done, os.Interrupt, syscall.SIGTERM)

       select {
       case <-done:
           os.Exit(0)
       }
    }

    func receive(received chan<- []byte) {
       var b bytes.Buffer
       stdout := bufio.NewWriter(&b)

       cmd := exec.Command("ffmpeg", "-i", "rtmp://127.0.0.1:1935/live/key", "-f", "flac", "-ar", "16000", "-")
       cmd.Stdout = stdout

       if err := cmd.Start(); err != nil {
           log.Fatal(err)
       }

       duration, _ := time.ParseDuration("3s")
       ticker := time.NewTicker(duration)

       for {
           select {
           case <-ticker.C:
               stdout.Flush()
               log.Printf("Received %d bytes", b.Len())
               received <- b.Bytes()
               b.Reset()
           }
       }
    }

    func transcribe(received <-chan []byte) {
       ctx := context.TODO()

       client, err := speech.NewClient(ctx)
       if err != nil {
           log.Fatal(err)
       }

       stream, err := client.StreamingRecognize(ctx)
       if err != nil {
           log.Fatal(err)
       }

       // Send the initial configuration message.
       if err = stream.Send(&speechpb.StreamingRecognizeRequest{
           StreamingRequest: &speechpb.StreamingRecognizeRequest_StreamingConfig{
               StreamingConfig: &speechpb.StreamingRecognitionConfig{
                   Config: &speechpb.RecognitionConfig{
                       Encoding:        speechpb.RecognitionConfig_FLAC,
                       LanguageCode:    "en-GB",
                       SampleRateHertz: 16000,
                   },
               },
           },
       }); err != nil {
           log.Fatal(err)
       }

       for {
           select {
           case data := <-received:
               if len(data) > 0 {
                   log.Printf("Sending %d bytes", len(data))
                   if err := stream.Send(&speechpb.StreamingRecognizeRequest{
                       StreamingRequest: &speechpb.StreamingRecognizeRequest_AudioContent{
                           AudioContent: data,
                       },
                   }); err != nil {
                       log.Printf("Could not send audio: %v", err)
                   }
               }
           }
       }
    }

    Running this code gives this output :

    2017/10/09 16:05:00 Received 191704 bytes
    2017/10/09 16:05:00 Saving 191704 bytes
    2017/10/09 16:05:00 Sending 191704 bytes
    2017/10/09 16:05:00 Could not send audio: EOF

    2017/10/09 16:05:03 Received 193192 bytes
    2017/10/09 16:05:03 Saving 193192 bytes
    2017/10/09 16:05:03 Sending 193192 bytes
    2017/10/09 16:05:03 Could not send audio: EOF

    2017/10/09 16:05:06 Received 193188 bytes
    2017/10/09 16:05:06 Saving 193188 bytes
    2017/10/09 16:05:06 Sending 193188 bytes // Notice that this doesn't error

    2017/10/09 16:05:09 Received 191704 bytes
    2017/10/09 16:05:09 Saving 191704 bytes
    2017/10/09 16:05:09 Sending 191704 bytes
    2017/10/09 16:05:09 Could not send audio: EOF

    Notice that not all of the Sends fail.

    Could anyone point me in the right direction here ? Is it something to do with the FLAC headers or something ? I also wonder if maybe resetting the buffer causes some of the data to be dropped (i.e. it’s a non-trivial operation that actually takes some time to complete) and it doesn’t like this missing information ?

    Any help would be really appreciated.

  • Django api returns Gif as JPG despite a function to add it as video

    7 septembre 2023, par Earthling

    I'm trying to upload a .gif to my django 3.2 api. I have already ran troubleshoots through Postman and came to the conclusion that my flutter app sends it as a .gif and it gets returned as a .jpg. The problem is on the backend. Here is my relevant code which checks for file_meme subtype and then the function should convert the incoming .gif to a video :

    


    

    

    def add_media(self, file, order=None):
    check_can_add_media(post=self)

    is_in_memory_file = isinstance(file, InMemoryUploadedFile) or isinstance(file, SimpleUploadedFile)

    if is_in_memory_file:
        file_mime = magic.from_buffer(file.read())
    elif isinstance(file, TemporaryUploadedFile):
        file_mime = magic.from_file(file.temporary_file_path())
    else:
        file_mime = magic.from_file(file.name)

    check_mimetype_is_supported_media_mimetypes(file_mime)
    # Mime check moved pointer
    file.seek(0)

    file_mime_types = file_mime.split('/')

    file_mime_type = file_mime_types[0]
    file_mime_subtype = file_mime_types[1]

    temp_files_to_close = []

    if file_mime_subtype == 'gif':
                if is_in_memory_file:
                    file = write_in_memory_file_to_disk(file)

                temp_dir = tempfile.gettempdir()
                converted_gif_file_name = os.path.join(temp_dir, str(uuid.uuid4()) + '.mp4')

                ff = ffmpy.FFmpeg(
                    inputs={file.temporary_file_path() if hasattr(file, 'temporary_file_path') else file.name: None},
                    outputs={converted_gif_file_name: None})
                ff.run()
                converted_gif_file = open(converted_gif_file_name, 'rb')
                temp_files_to_close.append(converted_gif_file)
                file = File(file=converted_gif_file)
                file_mime_type = 'video'

            has_other_media = self.media.exists()
    
    if file_mime_type == 'image':
        post_image = self._add_media_image(image=file, order=order)
        if not has_other_media:
            self.media_width = post_image.width
            self.media_height = post_image.height
            self.media_thumbnail = file

    elif file_mime_type == 'video':
        post_video = self._add_media_video(video=file, order=order)
        if not has_other_media:
            self.media_width = post_video.width
            self.media_height = post_video.height
            self.media_thumbnail = post_video.thumbnail.file
    else:
        raise ValidationError(
            _('Unsupported media file type')
        )

    for file_to_close in temp_files_to_close:
        file_to_close.close()
            
            
    self.save()        

    


    


    



    def _add_media_image(self, image, order):
    return PostImage.create_post_media_image(image=image, post_id=self.pk, order=order)

def _add_media_video(self, video, order):
    return PostVideo.create_post_media_video(file=video, post_id=self.pk, order=order)


@classmethod
    def create_post_media_image(cls, image, post_id, order):
        hash = sha256sum(file=image.file)
        post_image = cls.objects.create(image=image, post_id=post_id, hash=hash, thumbnail=image)
        PostMedia.create_post_media(type=PostMedia.MEDIA_TYPE_IMAGE,
                                    content_object=post_image,
                                    post_id=post_id, order=order)
        return post_image


@classmethod
    def create_post_media_video(cls, file, post_id, order):
        hash = sha256sum(file=file.file)
        video_backend = get_backend()

        if isinstance(file, InMemoryUploadedFile):
            # If its in memory, doing read shouldn't be an issue as the file should be small.
            in_disk_file = write_in_memory_file_to_disk(file)
            thumbnail_path = video_backend.get_thumbnail(video_path=in_disk_file.name, at_time=0.0)
        else:
            thumbnail_path = video_backend.get_thumbnail(video_path=file.file.name, at_time=0.0)

        with open(thumbnail_path, 'rb+') as thumbnail_file:
            post_video = cls.objects.create(file=file, post_id=post_id, hash=hash, thumbnail=File(thumbnail_file), )
        PostMedia.create_post_media(type=PostMedia.MEDIA_TYPE_VIDEO,
                                    content_object=post_video,
                                    post_id=post_id, order=order)
        return post_video
        
    


    


    I'm not sure where the problem is. From my limited understanding, it is taking only the first frame of the .gif and uploading it as an image.

    


  • Python & OpenCV - VideoCapture.read() always returns false

    21 août 2017, par Julen

    I need to extract frames from a video at a given time, and I’m using OpenCV for it. I’m using Linux Mint 18.1, but it must also run on Ubuntu.

    This code example is not working for me :

    import cv2

    print('making screenshot from {0}'.format('/tmp/big_buck_bunny_720p_5mb.mp4'))

    cap = cv2.VideoCapture(video_path)
    cap.set(cv2.CAP_PROP_POS_MSEC,1000)
    ret,frame = cap.read()
    print(ret)                      # This is false
    cv2.imwrite("image.jpg", frame) # Creates an empty file

    (I’ve checked that the path of the video is correct and that the file is not corrupted).

    I have installed the Python OpenCV 3.3.0 version :

    >>> import cv2
    >>> cv2.__version__
    '3.3.0'

    I’ve compiled and installed the source for OpenCV (with the WITH_FFMPEG=ON option) :

    git clone https://github.com/Itseez/opencv.git /tmp/opencv-3                                                                                                                                                                                
    /tmp/opencv-3                                                                                                                                                                                                                            
    mkdir -p release                                                                                                                                                                                                                            
    cd release                                                                                                                                                                                                                                  
    cmake -D WITH_FFMPEG=ON -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..                                                                                                                                                  
    make                                                                                                                                                                                                                                        
    sudo make install    

    The output of ffmpeg -version is the following :

    ffmpeg version 2.8.11-0ubuntu0.16.04.1 Copyright (c) 2000-2017 the FFmpeg developers
    built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.4) 20160609
    configuration: --prefix=/usr --extra-version=0ubuntu0.16.04.1 --build-suffix=-ffmpeg --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --cc=cc --cxx=g++ --enable-gpl --enable-shared --disable-stripping --disable-decoder=libopenjpeg --disable-decoder=libschroedinger --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librtmp --enable-libschroedinger --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxvid --enable-libzvbi --enable-openal --enable-opengl --enable-x11grab --enable-libdc1394 --enable-libiec61883 --enable-libzmq --enable-frei0r --enable-libx264 --enable-libopencv
    libavutil      54. 31.100 / 54. 31.100
    libavcodec     56. 60.100 / 56. 60.100
    libavformat    56. 40.101 / 56. 40.101
    libavdevice    56.  4.100 / 56.  4.100
    libavfilter     5. 40.101 /  5. 40.101
    libavresample   2.  1.  0 /  2.  1.  0
    libswscale      3.  1.101 /  3.  1.101
    libswresample   1.  2.101 /  1.  2.101
    libpostproc    53.  3.100 / 53.  3.100

    What am I missing ?