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  • AWS Lambda : ffmpeg thumbnails Generator : empty JPG

    3 septembre 2020, par Magikey

    When a video is uploaded on S3 i want to store a JPG screenshot.

    



    On a lambda function with amazon AWS, i do :

    



    ...

  let tmpFile = createWriteStream(`/tmp/screenshot.jpg`)

  var ffmpeg = spawn(ffmpegPath, [
      "-ss","00:00:05",
      "-i", target,
      "-vf", "thumbnail,scale=200:200", 
      "-qscale:v" ,"2",
      "-frames:v", "1",
      "-f", "image2",
      "-c:v", "mjpeg",
      "pipe:1"
    ]);

  ffmpeg.stdout.pipe(tmpFile).on("error", err => {
      console.log("Error A: ",err);
    });

  ffmpeg.on('error', err => {
    console.log("Error B", err)
    reject()
  })

  ffmpeg.on('close', code => {
    tmpFile.end();
    console.log('Log A', ffmpeg);

    child_process.exec("echo `ls -l -R /tmp`",
      (error, stdout, stderr) => {
        console.log(stdout)
    });

    resolve()
  })
...


    



    But the result is an empty JPG file in S3.

    



    Logs shows no errors, my "target" is OK, stdout ls show me the empty JPG file.

    



    I have try a lot of things, like use other version of ffmpeg but same.

    



    There is the "console.log('Log A', ffmpeg)" :

    



    ChildProcess {
 _events: [Object: null prototype] { error: [Function], close: [Function] },
 _eventsCount: 2,
 _maxListeners: undefined,
 _closesNeeded: 3,
 _closesGot: 3,
 connected: false,
 signalCode: 'SIGSEGV',
 exitCode: null,
 killed: false,
 spawnfile: '/opt/nodejs/ffmpeg',
 _handle: null,
 spawnargs: [
   '/opt/nodejs/ffmpeg',
   '-ss',
   '00:00:05',
   '-i',
   'https://xxxxxxxxx',
   '-vf',
   'thumbnail,scale=200:200',
   '-qscale:v',
   '2',
   '-frames:v',
   '1',
   '-f',
   'image2',
   '-v',
   '16',
   '-c:v',
   'mjpeg',
   'pipe:1'
 ],
 pid: 24,
 stdin: Socket {
   connecting: false,
   _hadError: false,
   _parent: null,
   _host: null,
   _readableState: ReadableState {
     objectMode: false,
     highWaterMark: 16384,
     buffer: BufferList { head: null, tail: null, length: 0 },
     length: 0,
     pipes: null,
     pipesCount: 0,
     flowing: null,
     ended: false,
     endEmitted: false,
     reading: false,
     sync: true,
     needReadable: false,
     emittedReadable: false,
     readableListening: false,
     resumeScheduled: false,
     paused: true,
     emitClose: false,
     autoDestroy: false,
     destroyed: true,
     defaultEncoding: 'utf8',
     awaitDrain: 0,
     readingMore: false,
     decoder: null,
     encoding: null
   },
   readable: false,
   _events: [Object: null prototype] { end: [Function: onReadableStreamEnd] },
   _eventsCount: 1,
   _maxListeners: undefined,
   _writableState: WritableState {
     objectMode: false,
     highWaterMark: 16384,
     finalCalled: false,
     needDrain: false,
     ending: false,
     ended: false,
     finished: false,
     destroyed: true,
     decodeStrings: false,
     defaultEncoding: 'utf8',
     length: 0,
     writing: false,
     corked: 0,
     sync: true,
     bufferProcessing: false,
     onwrite: [Function: bound onwrite],
     writecb: null,
     writelen: 0,
     bufferedRequest: null,
     lastBufferedRequest: null,
     pendingcb: 0,
     prefinished: false,
     errorEmitted: false,
     emitClose: false,
     autoDestroy: false,
     bufferedRequestCount: 0,
     corkedRequestsFree: [Object]
   },
   writable: false,
   allowHalfOpen: false,
   _sockname: null,
   _pendingData: null,
   _pendingEncoding: '',
   server: null,
   _server: null,
   [Symbol(asyncId)]: 5,
   [Symbol(kHandle)]: null,
   [Symbol(lastWriteQueueSize)]: 0,
   [Symbol(timeout)]: null,
   [Symbol(kBuffer)]: null,
   [Symbol(kBufferCb)]: null,
   [Symbol(kBufferGen)]: null,
   [Symbol(kBytesRead)]: 0,
   [Symbol(kBytesWritten)]: 0
 },
 stdout: Socket {
   connecting: false,
   _hadError: false,
   _parent: null,
   _host: null,
   _readableState: ReadableState {
     objectMode: false,
     highWaterMark: 16384,
     buffer: BufferList { head: null, tail: null, length: 0 },
     length: 0,
     pipes: null,
     pipesCount: 0,
     flowing: false,
     ended: true,
     endEmitted: true,
     reading: false,
     sync: false,
     needReadable: false,
     emittedReadable: false,
     readableListening: false,
     resumeScheduled: false,
     paused: false,
     emitClose: false,
     autoDestroy: false,
     destroyed: true,
     defaultEncoding: 'utf8',
     awaitDrain: 0,
     readingMore: false,
     decoder: null,
     encoding: null
   },
   readable: false,
   _events: [Object: null prototype] {
     end: [Function: onReadableStreamEnd],
     close: [Function]
   },
   _eventsCount: 2,
   _maxListeners: undefined,
   _writableState: WritableState {
     objectMode: false,
     highWaterMark: 16384,
     finalCalled: false,
     needDrain: false,
     ending: false,
     ended: false,
     finished: false,
     destroyed: true,
     decodeStrings: false,
     defaultEncoding: 'utf8',
     length: 0,
     writing: false,
     corked: 0,
     sync: true,
     bufferProcessing: false,
     onwrite: [Function: bound onwrite],
     writecb: null,
     writelen: 0,
     bufferedRequest: null,
     lastBufferedRequest: null,
     pendingcb: 0,
     prefinished: false,
     errorEmitted: false,
     emitClose: false,
     autoDestroy: false,
     bufferedRequestCount: 0,
     corkedRequestsFree: [Object]
   },
   writable: false,
   allowHalfOpen: false,
   _sockname: null,
   _pendingData: null,
   _pendingEncoding: '',
   server: null,
   _server: null,
   write: [Function: writeAfterFIN],
   [Symbol(asyncId)]: 6,
   [Symbol(kHandle)]: null,
   [Symbol(lastWriteQueueSize)]: 0,
   [Symbol(timeout)]: null,
   [Symbol(kBuffer)]: null,
   [Symbol(kBufferCb)]: null,
   [Symbol(kBufferGen)]: null,
   [Symbol(kBytesRead)]: 0,
   [Symbol(kBytesWritten)]: 0
 },
 stderr: Socket {
   connecting: false,
   _hadError: false,
   _parent: null,
   _host: null,
   _readableState: ReadableState {
     objectMode: false,
     highWaterMark: 16384,
     buffer: BufferList { head: null, tail: null, length: 0 },
     length: 0,
     pipes: null,
     pipesCount: 0,
     flowing: null,
     ended: true,
     endEmitted: true,
     reading: false,
     sync: false,
     needReadable: false,
     emittedReadable: false,
     readableListening: false,
     resumeScheduled: false,
     paused: true,
     emitClose: false,
     autoDestroy: false,
     destroyed: true,
     defaultEncoding: 'utf8',
     awaitDrain: 0,
     readingMore: false,
     decoder: null,
     encoding: null
   },
   readable: false,
   _events: [Object: null prototype] {
     end: [Function: onReadableStreamEnd],
     close: [Function]
   },
   _eventsCount: 2,
   _maxListeners: undefined,
   _writableState: WritableState {
     objectMode: false,
     highWaterMark: 16384,
     finalCalled: false,
     needDrain: false,
     ending: false,
     ended: false,
     finished: false,
     destroyed: true,
     decodeStrings: false,
     defaultEncoding: 'utf8',
     length: 0,
     writing: false,
     corked: 0,
     sync: true,
     bufferProcessing: false,
     onwrite: [Function: bound onwrite],
     writecb: null,
     writelen: 0,
     bufferedRequest: null,
     lastBufferedRequest: null,
     pendingcb: 0,
     prefinished: false,
     errorEmitted: false,
     emitClose: false,
     autoDestroy: false,
     bufferedRequestCount: 0,
     corkedRequestsFree: [Object]
   },
   writable: false,
   allowHalfOpen: false,
   _sockname: null,
   _pendingData: null,
   _pendingEncoding: '',
   server: null,
   _server: null,
   write: [Function: writeAfterFIN],
   [Symbol(asyncId)]: 7,
   [Symbol(kHandle)]: null,
   [Symbol(lastWriteQueueSize)]: 0,
   [Symbol(timeout)]: null,
   [Symbol(kBuffer)]: null,
   [Symbol(kBufferCb)]: null,
   [Symbol(kBufferGen)]: null,
   [Symbol(kBytesRead)]: 0,
   [Symbol(kBytesWritten)]: 0
 },
 stdio: [
   Socket {
     connecting: false,
     _hadError: false,
     _parent: null,
     _host: null,
     _readableState: [ReadableState],
     readable: false,
     _events: [Object: null prototype],
     _eventsCount: 1,
     _maxListeners: undefined,
     _writableState: [WritableState],
     writable: false,
     allowHalfOpen: false,
     _sockname: null,
     _pendingData: null,
     _pendingEncoding: '',
     server: null,
     _server: null,
     [Symbol(asyncId)]: 5,
     [Symbol(kHandle)]: null,
     [Symbol(lastWriteQueueSize)]: 0,
     [Symbol(timeout)]: null,
     [Symbol(kBuffer)]: null,
     [Symbol(kBufferCb)]: null,
     [Symbol(kBufferGen)]: null,
     [Symbol(kBytesRead)]: 0,
     [Symbol(kBytesWritten)]: 0
   },
   Socket {
     connecting: false,
     _hadError: false,
     _parent: null,
     _host: null,
     _readableState: [ReadableState],
     readable: false,
     _events: [Object: null prototype],
     _eventsCount: 2,
     _maxListeners: undefined,
     _writableState: [WritableState],
     writable: false,
     allowHalfOpen: false,
     _sockname: null,
     _pendingData: null,
     _pendingEncoding: '',
     server: null,
     _server: null,
     write: [Function: writeAfterFIN],
     [Symbol(asyncId)]: 6,
     [Symbol(kHandle)]: null,
     [Symbol(lastWriteQueueSize)]: 0,
     [Symbol(timeout)]: null,
     [Symbol(kBuffer)]: null,
     [Symbol(kBufferCb)]: null,
     [Symbol(kBufferGen)]: null,
     [Symbol(kBytesRead)]: 0,
     [Symbol(kBytesWritten)]: 0
   },
   Socket {
     connecting: false,
     _hadError: false,
     _parent: null,
     _host: null,
     _readableState: [ReadableState],
     readable: false,
     _events: [Object: null prototype],
     _eventsCount: 2,
     _maxListeners: undefined,
     _writableState: [WritableState],
     writable: false,
     allowHalfOpen: false,
     _sockname: null,
     _pendingData: null,
     _pendingEncoding: '',
     server: null,
     _server: null,
     write: [Function: writeAfterFIN],
     [Symbol(asyncId)]: 7,
     [Symbol(kHandle)]: null,
     [Symbol(lastWriteQueueSize)]: 0,
     [Symbol(timeout)]: null,
     [Symbol(kBuffer)]: null,
     [Symbol(kBufferCb)]: null,
     [Symbol(kBufferGen)]: null,
     [Symbol(kBytesRead)]: 0,
     [Symbol(kBytesWritten)]: 0
   }
 ]
} ```


    


  • AWS lambda mp4 thumbnail generator using ffmpeg - incorrect format generated

    10 avril 2021, par sam bhandu

    I am trying to create a thumbnail generator for every mp4 file uploaded to the s3 bucket. I have been following this post published by AWS. The code works fine for the transcoding video file. I changed the code to generate a thumbnail. The code does generate a file but it is an invalid image type.

    


    import json
import os
import subprocess
import shlex
import boto3
import uuid

S3_DESTINATION_BUCKET = "example-bucket"
SIGNED_URL_TIMEOUT = 60

def lambda_handler(event, context):

    # 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 + "_cfr.ts"
    
    hex_c = uuid.uuid4()
    s3_destination_filename = '/{}/{}.{}'.format('tmp',hex_c, 'jpg')
    s3_client = boto3.client('s3')
    s3_media_url = 'https://s3-us-west-2.amazonaws.com/example-bucket/videos/presentations/testing.mp4'
    ffmpeg_cmd = "/opt/bin/ffmpeg -i \"" + s3_media_url + "\" -ss 00:00:02 -vframes 1  \"" + s3_destination_filename + "\""
    # ffmpeg_cmd = "/opt/bin/ffmpeg -i \"" + s3_source_signed_url + "\" -f mpegts -c:v copy -af aresample=async=1:first_pts=0 -"
    
    command1 = shlex.split(ffmpeg_cmd)
    p1 = subprocess.run(command1, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
   
    resp = s3_client.put_object(Body=s3_destination_filename, Bucket=S3_DESTINATION_BUCKET, Key='{}{}'.format(hex_c, '.jpg'))
    return {
        'statusCode': 200,
        'body': json.dumps('Processing complete successfully')
    }


    


    Output is as :

    


    {
  "statusCode": 200,
  "body": "\"Processing complete successfully\""
}

Function Logs
START RequestId: b73aaacc-5da5-417a-9f98-5def438dee96 Version: $LATEST
ffmpeg version 4.1.3-static https://johnvansickle.com/ffmpeg/  Copyright (c) 2000-2019 the FFmpeg developers
  built with gcc 6.3.0 (Debian 6.3.0-18+deb9u1) 20170516
  configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --cc=gcc-6 --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gmp --enable-gray --enable-libaom --enable-libfribidi --enable-libass --enable-libvmaf --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librubberband --enable-libsoxr --enable-libspeex --enable-libvorbis --enable-libopus --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzvbi --enable-libzimg
  libavutil      56. 22.100 / 56. 22.100
  libavcodec     58. 35.100 / 58. 35.100
  libavformat    58. 20.100 / 58. 20.100
  libavdevice    58.  5.100 / 58.  5.100
  libavfilter     7. 40.101 /  7. 40.101
  libswscale      5.  3.100 /  5.  3.100
  libswresample   3.  3.100 /  3.  3.100
  libpostproc    55.  3.100 / 55.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'https://s3-us-west-2.amazonaws.com/example-bucket/videos/presentations/testing.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 1
    compatible_brands: isomavc1mp42
    creation_time   : 2020-04-17T18:31:33.000000Z
  Duration: 00:00:33.07, start: 0.000000, bitrate: 90 kb/s
    Stream #0:0(und): Video: h264 (Main) (avc1 / 0x31637661), yuv420p(tv, bt709), 854x480 [SAR 1:1 DAR 427:240], 23 kb/s, 30 fps, 30 tbr, 30 tbn, 60 tbc (default)
    Metadata:
      creation_time   : 2020-04-17T18:31:29.000000Z
    Stream #0:1(eng): Audio: aac (HE-AAC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 64 kb/s (default)
    Metadata:
      creation_time   : 2020-04-17T18:31:29.000000Z
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> mjpeg (native))
Press [q] to stop, [?] for help
[swscaler @ 0x67ddc40] deprecated pixel format used, make sure you did set range correctly
Output #0, image2, to '/tmp/4633bb13-4a15-49b7-a445-d910bebaddf6.jpg':
  Metadata:
    major_brand     : isom
    minor_version   : 1
    compatible_brands: isomavc1mp42
    encoder         : Lavf58.20.100
    Stream #0:0(und): Video: mjpeg, yuvj420p(pc), 854x480 [SAR 1:1 DAR 427:240], q=2-31, 200 kb/s, 30 fps, 30 tbn, 30 tbc (default)
    Metadata:
      creation_time   : 2020-04-17T18:31:29.000000Z
      encoder         : Lavc58.35.100 mjpeg
    Side data:
      cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: -1
frame=    0 fps=0.0 q=0.0 size=N/A time=00:00:00.00 bitrate=N/A speed=   0x    
frame=    0 fps=0.0 q=0.0 size=N/A time=00:00:00.00 bitrate=N/A speed=   0x    
frame=    0 fps=0.0 q=0.0 size=N/A time=00:00:00.00 bitrate=N/A speed=   0x    
frame=    1 fps=0.4 q=6.3 Lsize=N/A time=00:00:00.03 bitrate=N/A speed=0.0149x    
video:14kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
END RequestId: b73aaacc-5da5-417a-9f98-5def438dee96
REPORT RequestId: b73aaacc-5da5-417a-9f98-5def438dee96  Duration: 6349.25 ms    Billed Duration: 6350 ms    Memory Size: 155 MB Max Memory Used: 123 MB Init Duration: 368.12 ms

Request ID
b73aaacc-5da5-417a-9f98-5def438dee96


    


    An image file is uploaded to the S3 folder, but when I try to open it flags an invalid file format. The file size is only 40.0 Bytes.
S3 bucket image folder
invalid file format

    


  • Cuda Memory Management : re-using device memory from C calls (multithreaded, ffmpeg), but failing on cudaMemcpy

    4 mars 2013, par Nuke Stollak

    I'm trying to CUDA-fy my ffmpeg filter that was taking over 90% of the CPU time, according to gprof. I first went from one core to OpenMP on 4 cores and got a 3.8x increase in frames encoded per second, but it's still too slow. CUDA seemed like the next natural step.

    I've gotten a modest (20% ?) increase by replacing one of my filter's functions with a CUDA kernel call, and just to get things up and running, I was cudaMalloc'ing and cudaMemcpy'ing on each frame. I suspected I would get better results if I weren't doing this each frame, so before I go ahead and move the rest of my code to CUDA, I wanted to fix this by allocating the memory before my filter is called and freeing it afterwards, but the device memory isn't having it. I'm only storing the device memory locations outside of code that knows about CUDA ; I'm not trying to use the data there, just save it for the next time I call a CUDA-aware function that needs it.

    Here's where I am so far :

    Environment : the last AMI Linux on EC2's GPU Cluster, latest updates installed. Everything is fairly standard.

    My filter is split into two files : vf_myfilter.c (compiled by gcc, like almost every other file in ffmpeg) and vf_myfilter_cu.cu (compiled by nvcc). My Makefile's link step includes -lcudart and both .o files. I build vf_myfilter_cu.o using (as one line)

    nvcc -I. -I./ -I/opt/nvidia/cuda/include $(CPPFLAGS) 
    
     -Xcompiler "$(CFLAGS)" 
    
      -c -o libfilter/vf_myfilter_cu.o libfilter/vf_myfilter_cu.cu

    When the variables (set by configure) are expanded, here's what I get, again all in one line but split up here for easier reading. I just noticed the duplicate include path directives, but it shouldn't hurt.

    nvcc -I. -I./ -I/opt/nvidia/cuda/include -I. -I./ -D_ISOC99_SOURCE 
    
    -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE -D_POSIX_C_SOURCE=200112
    
    -D_XOPEN_SOURCE=600 -DHAVE_AV_CONFIG_H 
    
    -XCompiler "-fopenmp -std=c99 -fomit-frame-pointer -pthread -g 
    
                -Wdeclaration-after-statment -Wall -Wno-parentheses 
    
                -Wno-switch -Wno-format-zero-length -Wdisabled-optimization  
    
                -Wpointer-arith -Wredundant-decls -Wno-pointer-sign 
    
                -Wwrite-strings -Wtype-limits -Wundef -Wmissing-prototypes
    
                -Wno-pointer-to-int-case -Wstrict-prototypes -O3 -fno-math-errno 
    
                -fno-signed-zeros -fno-tree-vectorize 
    
                -Werror=implicit-function-declaration -Werror=missing-prototypes 
    
                -Werror=vla " 
    
    -c -o libavfilter/vf_myfilter_cu.o libavfilter/vf_myfilter_cu.cu

    vf_myfilter.c calls three functions from vf_myfilter_cu.cu file which handle memory and call the CUDA kernel code. I thought I would be able to save the device pointers from my memory initialization, which runs once per ffmpeg run, and re-use that space each time I called the wrapper for my kernel function, but when I cudaMemcpy from my host memory to my device memory that I stored, it fails with cudaInvalidValue. If I cudaMalloc my device memory on every frame, I'm fine.

    I plan on using pinned host memory, once I have everything up in CUDA code and have minimized the number of times I need to return to the main ffmpeg code.

    Steps taken :

    First sign of trouble : search the web. I found Passing a pointer to device memory between classes in CUDA and printed out the pointers at various places in my execution to ensure that the device memory values were the same everywhere, and they are. FWIW, they seem to start around 0x90010000.

    ffmpeg's configure gave me -pthreads, so I checked to see if my filter was being called from multiple threads according to how can I tell if pthread_self is the main (first) thread in the process ? and checking syscall(SYS_gettid) == getpid() to ensure that I'm not calling CUDA from different threads—I'm indeed in the primary thread at every step, according to those two funcs. I am still using OpenMP later around some for loops in the main .c filter function, but the calls to CUDA don't occur in those loops.

    Code Overview :

    ffmpeg provides me a MyfilterContext structure pointer on each frame, as well as on the filter's config_input and uninit routines (called once per file), so I added some *host_var and *dev_var variables (a few of each, float and unsigned char).

    There is a whole lot of code I skipped for this post, but most of it has to do with my algorithm and details involved in writing an ffmpeg filter. I'm actually using about 6 host variables and 7 device variables right now, but for demonstration I limited it to one of each.

    Here is, broadly, what my vf_myfilter.c looks like.

    // declare my functions from vf_myfilter_cu.cu 
    
extern void cudaMyInit(unsigned char **dev_var, size_t mysize);
    
extern void cudaMyUninit(unsigned char *dev_var);
    
extern void cudaMyFunction(unsigned char *host_var, unsigned char *dev_var, size_t mysize);
    

    
// part of the MyFilterContext structure, which ffmpeg keeps track of for me.
    
typedef struct {
    
    unsigned char *host_var;
    
    unsigned char *dev_var;
    
} MyFilterContext;
    

    
// ffmpeg calls this function once per file, before any frames are processed.
    
static int config_input(AVFilterLink *inlink) {
    
        // how ffmpeg passes me my context, fairly standard.
    
    MyfilterContext * myContext = inlink->dst->priv; 
    
        // compute the size one video plane of one frame of video
    
    size_t mysize = sizeof(unsigned char) * inlink->w * inlink->h;
    
        // av_mallocz is a malloc wrapper provided and required by ffmpeg
    
    myContext->host_var = (unsigned char*) av_mallocz(size);
    
        // Here's where I attempt to allocate my device memory.
    
    cudaMyInit( & myContext->dev_var, mysize);  
    
}
    

    
// Called once per frame of video
    
static int filter_frame(AVFilterLink *inlink, AVFilterBufferRef *frame) {
    
    MyFilterContext *myContext = inlink->dst->priv;
    

    
    // sanity check to make sure that this isn't part of the multithreaded code
    
    if ( syscall(SYS_gettid) == getpid() ) 
    
        av_log(.... ); // This line never runs, so it's not threaded?
    

    
    // ...fill host_var with data from frame, 
    
    // set mysize to the size of the buffer
    

    
    // Call my wrapper function defined in the .cu file
    
    cudaMyFunction(myContext->host_var, myContext->dev_var, mysize);
    

    
    // ... take the results from host_var and apply them to frame
    
    // ... and return the processed frame to ffmpeg 
    
}
    

    
// called after everything else has happened:  free up the memory.
    
static av_cold void uninit(AVFilterContext *ctx) {
    
    MyFilterContext *myContext = ctx->priv;
    
    // free my host_var
    
    if(myContext->host_var!=NULL) {
    
        av_free(myContext->host_var);
    
        myContext->host_var=NULL;
    
    }
    
    // free my dev_var
    
    cudaMyUninit(myContext->dev_var);
    
}

    Here is, broadly, what my vf_myfilter_cu.cu looks like :

    // my kernel function that does the work.
    
__global__ void myfunc(unsigned char *dev_var, size_t mysize) {
    
    // find the offset for this particular GPU thread to process
    
    // exit this function if the block/thread combo points to somewhere
    
    //     outside the frame
    
    // make sure we're less than mysize bytes from the beginning of dev_var
    
    // do things to dev_var[some_offset]
    
} 
    
// Allocate the device memory
    
extern "C" void cudaMyInit(unsigned char **dev_var, size_t mysize) {
    
    if(cudaMalloc( (void**) dev_var, mysize) != cudaSuccess) {
    
        printf("Cannot allocate the memory\n");
    
    }
    
}
    

    
// Free the device memory.
    
extern "C" void cudaMyUninit(unsigned char *dev_var) {
    
    cudaFree(dev_var);
    
}
    

    
// Copy data from the host to the device,
    
// Call the kernel function, and 
    
// Copy data from the device to the host.
    
extern "C" void cudaMyFunction(
    
        unsigned char *host_var, 
    
        unsigned char *dev_var, 
    
        size_t mysize         ) 
    
{
    
    cudaError_t cres;
    

    
    // dev_works is what I want to get rid of, but 
    
    // to make sure that there's not something more obvious going 
    
    // on, I made sure that my cudaMemcpy works if I'm allocating
    
    // the device memory in every frame.
    
    unsigned char *dev_works;  
    
    if(cudaMalloc( (void **) &dev_works, mysize)!=cudaSuccess) { 
    
        // I don't see this message
    
        printf("failed at per-frame malloc\n");
    
    }
    

    
    // THIS PART WORKS, copying host_var to dev_works
    
    cres=cudaMemcpy( (void *) dev_works, host_var, mysize, cudaMemcpyHostToDevice);
    
    if(cres!=cudaSuccess) {
    
        if(cres==cudaErrorInvalidValue) {
    
            // I don't see this message.
    
            printf("cudaErrorInvalidValue at per-frame cudaMemcpy\n");
    
        }
    
    }
    

    
    // THIS PART FAILS, copying host_var to dev_var
    
    cres=cudaMemcpy( (void *) dev_var, host_var, mysize, cudaMemcpyHostToDevice);
    
    if(cres!=cudaSuccess) {
    
        if(cres==cudaErrorInvalidValue) {
    
            // this is the error code that prints.
    
            printf("cudaErrorInvalidValue at per-frame cudaMemcpy\n");
    
        }
    
        // I check for other error codes, but they're not being hit.
    
    }
    

    
    // and this works with dev_works
    
    myfunc<<>>(dev_works, mysize);
    

    
    if(cudaMemcpy(host_var, dev_works, mysize, cudaMemcpyDeviceToHost)!=cudaSuccess) {
    
        // I don't see this message.
    
        printf("Failed to copy post-kernel func\n");
    
    }
    

    
    cudaFree(dev_works);
    

    
}

    Any ideas ?

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