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Stereo master soundtrack
17 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Audio
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ED-ME-5 1-DVD
11 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Audio
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1,000,000
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Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Demon Seed
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Mis à jour : Septembre 2011
Langue : English
Type : Audio
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The Four of Us are Dying
26 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Corona Radiata
26 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Sur d’autres sites (5993)
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Cannot convert video file to audio file inside AWS lambda function using Node js
21 février 2019, par ArunI cannot convert a video file into an audio file inside AWS lambda function using Node JS. While running my lambda function it doesn’t throw any error it executes without any error. But the audio file size is still 0 MB size. I am not able to find bugs or any issues in my code.
Here is my code,
const fs = require('fs');
const childProcess = require('child_process');
const AWS = require('aws-sdk');
const path = require('path');
AWS.config.update({
region : 'us-east-2'
});
const s3 = new AWS.S3({apiVersion: '2006-03-01'});
exports.handler = (event, context, callback) => {
process.env.PATH = process.env.PATH + ':/tmp/';
process.env['FFMPEG_PATH'] = '/tmp/ffmpeg';
const BIN_PATH = process.env['LAMBDA_TASK_ROOT'];
process.env['PATH'] = process.env['PATH'] + ':' + BIN_PATH;
childProcess.exec(
'cp /var/task/ffmpeg /tmp/.; chmod 755 /tmp/ffmpeg;',
function (error, stdout, stderr) {
if (error) {
console.log('Error occured',error);
} else {
var ffmpeg = '/tmp/ffmpeg';
var createStream = fs.createWriteStream("/tmp/video.mp3");
createStream.end();
var params = {
Bucket: "test-bucket",
Key: event.Records[0].s3.object.key
};
s3.getObject(params, function(err, data) {
if (err) {
console.log("Error", err);
}
fs.writeFile("/tmp/vid.mp4", data.Body, function (err) {
if (err) console.log(err.code, "-", err.message);
return callback(err);
}, function() {
try {
var stats = fs.statSync("/tmp/vid.mp4");
console.log("size of the file1 ", stats["size"]);
try {
console.log("Yeah");
const inputFilename = "/tmp/vid.mp4";
const mp3Filename = "/tmp/video.mp3";
// // Convert the FLV file to an MP3 file using ffmpeg.
const ffmpegArgs = [
'-i', inputFilename,
'-vn', // Disable the video stream in the output.
'-acodec', 'libmp3lame', // Use Lame for the mp3 encoding.
'-ac', '2', // Set 2 audio channels.
'-q:a', '6', // Set the quality to be roughly 128 kb/s.
mp3Filename,
];
try {
const process = childProcess.spawnSync(ffmpeg, ffmpegArgs);
console.log("stdout ", process.stdout);
console.log("stderr ", process.stderr);
console.log("tmp files ");
fs.readdir('/tmp/', (err, files) => {
files.forEach(file => {
var stats = fs.statSync(`/tmp/${file}`);
console.log("size of the file2 ", stats["size"]);
console.log(file);
});
});
} catch (e) {
console.log("error while converting video to audio ", e);
}
// return process;
} catch (e) {
console.log(e);
}
} catch (e) {
console.log("file is not complete", e);
}
}, function () {
console.log("checking ");
var stats = fs.statSync("/tmp/video.mp3");
console.log("size of the file2 ", stats["size"]);
});
return callback(err);
});
}
}
)
}Code workflow
First of all, I have downloaded ffmpeg binary exec file and put into my project directory. After that, I compressed my project and put it into the lambda function. This lambda function will be triggered whenever the new files are uploaded into an S3 bucket. I have checked /tmp/ storage files and the audio file .mp3 present but the size is 0 MB.
Note
And also, in my code the below is not calling or this part is not reaching. When I look into Cloudwatch logs I can’t see this console log messages. I don’t know why this function is not calling.
function () {
console.log("checking ");
var stats = fs.statSync("/tmp/video.mp3");
console.log("size of the file2 ", stats["size"]);
});Please help me to find the solution of this issue. I have spent a lot of times to figure out this issue. But I am not able to find the solution. Any suggestions are welcome !!
Thanks, -
AWS lambda SAM deploy error - Template format error : Unresolved resource dependencies
1er juin 2022, par mozengeI have am trying to deploy an aws lambda function using the SAM cli. I have some layers defined in the sam template. Testing locally using
sam local start-api
works quite well. The but deploying using thesam deploy --guided
command throws the following error
Error: Failed to create changeset for the stack: sam-app, ex: Waiter ChangeSetCreateComplete failed: Waiter encountered a terminal failure state: For expression "Status" we matched expected path: "FAILED" Status: FAILED. Reason: Template format error: Unresolved resource dependencies [arn:aws:lambda:us-west-1:338231645678:layer:ffmpeg:1] in the Resources block of the template


The SAM template is as follows


AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: >
 video-processor-functions

 Functions to generate gif and thumbnail from uploaded videos
 
# More info about Globals: https://github.com/awslabs/serverless-application-model/blob/master/docs/globals.rst
Globals:
 Function:
 Timeout: 3
 Tracing: Active

Resources:
 VideoProcessorFunctions:
 Type: AWS::Serverless::Function # More info about Function Resource: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#awsserverlessfunction
 Properties:
 CodeUri: src/
 Handler: app.lambdaHandler
 Runtime: nodejs14.x
 # timeout in seconds - 2 minutes
 Timeout: 120
 Layers:
 - !Ref VideoProcessorDepLayer
 - !Ref arn:aws:lambda:us-west-1:338231645678:layer:ffmpeg:1
 Architectures:
 - x86_64
 Events:
 HelloWorld:
 Type: Api # More info about API Event Source: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#api
 Properties:
 Path: /hello
 Method: get

 VideoProcessorDepLayer:
 Type: AWS::Serverless::LayerVersion
 Properties:
 LayerName: mh-video-processor-dependencies
 Description: Dependencies for sam app [video-processor-functions]
 ContentUri: dependencies/
 CompatibleRuntimes:
 - nodejs14.17
 LicenseInfo: 'MIT'
 RetentionPolicy: Retain

Outputs:
 # ServerlessRestApi is an implicit API created out of Events key under Serverless::Function
 # Find out more about other implicit resources you can reference within SAM
 # https://github.com/awslabs/serverless-application-model/blob/master/docs/internals/generated_resources.rst#api
 HelloWorldApi:
 Description: "API Gateway endpoint URL for Prod stage for Hello World function"
 Value: !Sub "https://${ServerlessRestApi}.execute-api.${AWS::Region}.amazonaws.com/Prod/hello/"
 VideoProcessorFunctions:
 Description: "Generate GIF and Thumnail from Video"
 Value: !GetAtt VideoProcessorFunctions.Arn
 VideoProcessorFunctionsIamRole:
 Description: "Implicit IAM Role created for MH Video Processor function"
 Value: !GetAtt VideoProcessorFunctionsRole.Arn




Any ideas what i'm doing wrong ?


-
add libaribb24 ARIB STD-B24 caption decoder
14 janvier 2019, par Jan Ekströmadd libaribb24 ARIB STD-B24 caption decoder
* Outputs ASS lines with basic coloring and font scaling for each
given region.
* Sets the default style to the resolution of the subtitle plane
(for example, 960x540 / 36pt font for profile A).
* Has options to :
* Disable ruby text (which is coded as regions which have
half-height text in libaribb24).
Enabled by default as without positioning ruby text only
confuses as it is usually coded in the beginning of the decoded
subtitle line.
* Set the working directory, in which libaribb24 will read
configuration as well as into which it may save broadcast extra
symbols as PNG.
Unset by default.The unconventional library check can be explained by the library's
current master branch being licensed as LGPLv3, but at the time of
writing the latest official release is still licensed under GPLv3.Thus, one either has to wait for the following release, or enable
GPLv3.