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• Android mp4 remove rotation and rotate the video stream

  6 novembre 2018, par Mathijs Segers

  I’m having some issues trying to remove the rotation value of Android video’s.
  For some reason convertion tools in the cloud cannot seem to handle android’s rotation value correctly. f/e I have a portrait video recorded in 1080x1920 (so the file’s headers tell me it’s actually 1920x1080 with rotation : 90).

  So now I’m trying to convert these video’s to an actual 1080x1920 format when they have this rotation value but i’m kind of stuck, probably using the wrong search terms on SO and Google.

  In the hope of making things clear I’ve actually added some ffmpeg libs to android following these steps, of course with some changes to parameters. I’m building this on a Mac and this all works fine now.
  http://www.roman10.net/how-to-build-ffmpeg-with-ndk-r9/

  Now the following, I have no real clue how these libs work and how to use them or which I actually need or if I even need them at all.

  Is there anyone who can point me in the right direction of solving my issue ? Basicly the video’s are on my android filesystem and I can access them fully, before uploading I want to check the values and remove and rotate the video’s if needed.

• I tried to play the audio on Alexa skill from my S3 Bucket, from the test tab, **it show but in fact, I can't hear any sound

  19 avril 2022, par Siti Mayna

  So I tried to play the audio on Alexa skill from my S3 Bucket, from the test tab, it show but in fact, I can't hear any sound. Another fact is, that I tried to use the sample audio from https://developer.amazon.com/en-US/docs/alexa/custom-skills/ask-soundlibrary.html and it is worked, but why it won't work when it comes from my own S3 Bucket ?

  


  Notes :

  


  I've tried to test the skill using my mobile phone also.

  


  I've tried to encode the audio using FFmpeg.

  


  I've tried to use Jovo to convert the audio. https://v3.jovo.tech/audio-converter

  


  I don't know how to fix this error.

  


  There is no error message on cloud watch.

  


  Assumptions :
There is some problem related to the audio resources or there is more set to play audio from S3 Bucket since the sample audio is working.

  


  Steps to reproduce :

  


  


  Build the interaction model

  


  


  


  Encode the audio to make it Alexa skill friendly (fulfill the requirements, like sample rate, etc), I used and tried all of these :

  


  


  A :

  


  ffmpeg -i  -ac 2 -codec:a libmp3lame -b:a 48k -ar 16000 -write_xing 0 


  


  B :

  


  ffmpeg -i  -ac 2 -codec:a libmp3lame -b:a 48k -ar 24000 -write_xing 0 


  


  C :

  


  ffmpeg -y -i input.mp3 -ar 16000 -ab 48k -codec:a libmp3lame -ac 1 output.mp3


  


  


  Upload the audio resources on S3Bucket
Audio sample on s3 storage but none of them are produce any sounds

  


  


  


  Use the link and insert it to APLA.json

  


  


  
    {
      "type": "APLA",
      "version": "0.91",
      "description": "Simple document that generates speech",
      "mainTemplate": {
        "parameters": [
          "payload"
        ],
        "type": "Sequencer",
        "items": [
          {
            "type": "Audio",
            "source": "https://72578561-d9d8-47b4-811c-cafbcbc5ddb9-us-east-1.s3.amazonaws.com/Media/one-small-step-alexa-24.mp3"
          }
        ]
      }
    }



  


  notes : I change the link sources based on audio that I tried.

  


  


  the intent on lambda_function.py :

  


  


  def _load_apl_document(file_path):
    # type: (str) -> Dict[str, Any]
    """Load the apl json document at the path into a dict object."""
    with open(file_path) as f:
        return json.load(f)

class LaunchRequestHandler(AbstractRequestHandler):
    """Handler for Skill Launch."""
    def can_handle(self, handler_input):
        # type: (HandlerInput) -> bool

        return ask_utils.is_request_type("LaunchRequest")(handler_input)

    def handle(self, handler_input):
        # type: (HandlerInput) -> Response
        logger.info("In LaunchRequestHandler")

        # type: (HandlerInput) -> Response
        speak_output = "Hello World!"
        # .ask("add a reprompt if you want to keep the session open for the user to respond")

        return (
            handler_input.response_builder
                #.speak(speak_output)
                .add_directive(
                        RenderDocumentDirective(
                            token="pagerToken",
                            document=_load_apl_document("APLA.json"),
                            datasources={}
                        )
                    )
                .response
        )


  


  


  Deploy

  


  


  


  Test it

  


  


  


  The result of the test on my end :

The response for testing

  


  


  the JSON response :

  


  {
    "body": {
        "version": "1.0",
        "response": {
            "directives": [
                {
                    "type": "Alexa.Presentation.APLA.RenderDocument",
                    "token": "pagerToken",
                    "document": {
                        "type": "APLA",
                        "version": "0.91",
                        "description": "Simple document that generates speech",
                        "mainTemplate": {
                            "parameters": [
                                "payload"
                            ],
                            "type": "Sequencer",
                            "items": [
                                {
                                    "type": "Audio",
                                    "source": "https://72578561-d9d8-47b4-811c-cafbcbc5ddb9-us-east-1.s3.amazonaws.com/Media/one-small-step-alexa-24.mp3"
                                }
                            ]
                        }
                    },
                    "datasources": {}
                }
            ],
            "type": "_DEFAULT_RESPONSE"
        },
        "sessionAttributes": {},
        "userAgent": "ask-python/1.16.1 Python/3.7.12"
    }
}


  


  


  On my cloud Watch :
Cloud Watch

  


  


• How to convert a .m4a file to a .wav file on Android using React Native ?

  23 octobre 2022, par aurelien_morel

  I am trying to convert a .m4a file that I record using expo-audio into a .wav file. The goal is then to use it as a blob to send it on a Google Cloud Storage.
I tried to do this using ffmpeg-kit-react-native :

  


  const uri = recording.getURI();
console.log(uri);

if (Platform.OS === 'android') {
    FFmpegKit.execute(`-i ${uri} temp.wav`).then(async (session) => {
    // const returnCode = await session.getReturnCode();
    uri = 'temp.wav';
    });
}

const response = await fetch(uri);
const blob = await response.blob();


  


  but I have no sucess (getting the error) :

  


  TypeError : null is not an object (evaluating 'FFmpegKitReactNativeModule.ffmpegSession')

  


  uri have this form :

  


  file :///data/user/0/host.exp.exponent/cache/ExperienceData/%2540aamorel%252Fvoki/Audio/recording-4038abed-f264-48ca-a0cc-861268190874.m4a

  


  I am not sure if I use the FFmpeg toolkit correctly. Do you know how to make this work ? Or is there a simpler way to do it ?