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• Using ffmpeg to assemble images from S3 into a video

  10 juillet 2020, par Mass Dot Net

  I can easily assemble images from local disk into a video using ffmpeg and passing a %06d filespec. Here's what a typical (pseudocode) command would look like :

  


  ffmpeg.exe -hide_banner -y -r 60 -t 12 -i /JpgsToCombine/%06d.JPG <..etc..>


  


  However, I'm struggling to do the same with images stored in AWS S3, without using some third party software to mount a virtual drive (e.g. TNTDrive). The S3 folder containing our images is too large to download to the 20GB ephemeral storage provided for AWS containers, and we're trying to avoid EFS because we'd have to provision expensive bandwidth.

  


  Here's what the HTTP and S3 URLs to each of our JPGs looks like :

  


  # HTTP URL
https://massdotnet.s3.amazonaws.com/jpgs-to-combine/000000.JPG # frame 0
https://massdotnet.s3.amazonaws.com/jpgs-to-combine/000012.JPG # frame 12
https://massdotnet.s3.amazonaws.com/jpgs-to-combine/000123.JPG # frame 123
https://massdotnet.s3.amazonaws.com/jpgs-to-combine/456789.JPG # frame 456789

# S3 URL
s3://massdotnet/jpgs-to-combine/000000.JPG # frame 0
s3://massdotnet/jpgs-to-combine/000012.JPG # frame 12
s3://massdotnet/jpgs-to-combine/000123.JPG # frame 123
s3://massdotnet/jpgs-to-combine/456789.JPG # frame 456789


  


  Is there any way to get ffmpeg to assemble these ? We could generate a signed URL for each S3 file, and put several thousand of those URLs onto a command line with an FFMPEG concat filter. However, we'd run up into the command line input limit in Linux at some point using this approach. I'm hoping there's a better way...

  


• Command build failed ndk

  1er janvier 2021, par ALI RAZA

  I want to integrate ffmpeg lib in my android app . So i am using ndk ,but i am stuck on this issue,I dont know why the error is appearing ,Thanks in advance ;

  


  It is the gradle code that i am using in my app and also the ffmpeg-android-maker path is provided

  


  plugins {
id 'com.android.application'


  


  


  android 
compileSdkVersion 30
buildToolsVersion "30.0.3"

  


  defaultConfig {
    applicationId "com.reactive.myapplication"
    minSdkVersion 16
    targetSdkVersion 30
    versionCode 1
    versionName "1.0"

    testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
    externalNativeBuild {
        cmake {
            cppFlags ""
        }
    }
}
flavorDimensions "market"
productFlavors {
    google {
        dimension "market"
        ndk {
            // Since the App Bundle is used, there is no problem in packaging all these ABIs
            abiFilters 'x86', 'x86_64', 'armeabi-v7a', 'arm64-v8a'
        }
    }
    amazon {
        dimension "market"
        applicationIdSuffix ".amzn"
        ndk {
            // Amazon Appstore doesn't support multiple APKs for non-Amazon devices.
            // There is no point in x86 support here, as the majority of devices with the
            // Amazon Appstore are ARM-based. And it seems to be a common practice for other
            // apps in this market.
            abiFilters 'armeabi-v7a'
        }
    }
    huawei {
        dimension "market"
        applicationIdSuffix ".huawei"
        ndk {
            // Huawei App Gallery supports App Bundle format
            abiFilters 'x86', 'x86_64', 'armeabi-v7a', 'arm64-v8a'
        }
    }
}
sourceSets {
    main {
        // let gradle pack the shared library into the apk
        jniLibs.srcDirs = ['../ffmpeg-android-maker/output/lib']
    }
}

bundle {
    language {
        enableSplit = true
    }
    density {
        enableSplit = true
    }
    abi {
        enableSplit = true
    }
}

buildTypes {
    release {
        minifyEnabled false
        proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
    }
}
externalNativeBuild {
    cmake {
        path "src/main/cpp/CMakeLists.txt"
        version "3.10.2"
    }
}
compileOptions {
    sourceCompatibility JavaVersion.VERSION_1_8

    targetCompatibility JavaVersion.VERSION_1_8
}


  


  


  dependencies

  


  implementation 'androidx.appcompat:appcompat:1.1.0'
implementation 'com.google.android.material:material:1.1.0'
implementation 'androidx.constraintlayout:constraintlayout:1.1.3'
testImplementation 'junit:junit:4.+'
androidTestImplementation 'androidx.test.ext:junit:1.1.1'
androidTestImplementation 'androidx.test.espresso:espresso-core:3.2.0'


  


  


  And It is cmake ,


  


  And this is error i am facing :
Build command failed.
Error while executing process /home/ali/Android/Sdk/cmake/3.10.2.4988404/bin/ninja with arguments -C /home/ali/AndroidStudioProjects/FfmpegApp/app/.cxx/cmake/amazonDebug/armeabi-v7a native-lib
ninja : Entering directory `/home/ali/AndroidStudioProjects/FfmpegApp/app/.cxx/cmake/amazonDebug/armeabi-v7a'

  


  ninja : error : '/home/ali/AndroidStudioProjects/FfmpegApp/app/src/main/ffmpeg-android-maker/output/lib/armeabi-v7a/libavutil.so', needed by '/home/ali/AndroidStudioProjects/FfmpegApp/app/build/intermediates/cmake/amazonDebug/obj/armeabi-v7a/libnative-lib.so', missing and no known rule to make it

  


• I want to print HLS files using ffmpeg in aws lambda (python)

  14 avril 2021, par 최우선

  I implemented it through the link(https://aws.amazon.com/ko/blogs/media/processing-user-generated-content-using-aws-lambda-and-ffmpeg/) here, and it works well.

  


  s3_source_bucket = event['Records'][0]['s3']['bucket']['name']
s3_source_key = event['Records'][0]['s3']['object']['key']

s3_source_basename = os.path.splitext(os.path.basename(s3_source_key))[0]
s3_destination_filename = s3_source_basename + ".m3u8"

s3_client = boto3.client('s3')
s3_source_signed_url = s3_client.generate_presigned_url('get_object',
    Params={'Bucket': s3_source_bucket, 'Key': s3_source_key},
    ExpiresIn=SIGNED_URL_TIMEOUT)


ffmpeg_cmd = "/opt/bin/ffmpeg -i \"" + s3_source_signed_url + "\" -codec: copy -start_number 0 -hls_time 10 -hls_list_size 0 -f hls -"
command1 = shlex.split(ffmpeg_cmd)
p1 = subprocess.run(command1, stdout=subprocess.PIPE, stderr=subprocess.PIPE)

resp = s3_client.put_object(Body=p1.stdout, Bucket=S3_DESTINATION_BUCKET, Key=s3_destination_filename)


  


  However, the actual output through ffmpeg is multiple files. For example test.m3u8, test0.ts, test1.ts .....

  


  But when I print p1.stdout, it looks like multiple files (test.m3u8,test0.ts....) are merged into one file.

  


  Is there a way to get the actual output multiple files (test.m3u8,test0.ts......) from p1.stdout ? Please help.