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• avcodec/ffwavesynth : Avoid undefined operation on ts overflow

  13 juin 2020, par Michael Niedermayer

  avcodec/ffwavesynth : Avoid undefined operation on ts overflow
  Alternatively these conditions could be treated as errors
  
  Fixes : 23147/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_FFWAVESYNTH_fuzzer-5639254549200896
  
  Fixes : signed integer overflow : 9223372036854775807 + 1 cannot be represented in type 'int64_t' (aka 'long')
  Found-by : continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
  
  Signed-off-by : Michael Niedermayer <michael@niedermayer.cc>
  

  • [DH] libavcodec/ffwavesynth.c

• How to record a single bitmap image using segment time option in ffmpeg

  16 juillet 2020, par jfowkes

  We have an application using ffmpeg to record an RTSP stream. We split this stream into timestamped segments using the following options :

  


  -f segment -segment_time 60 -strftime 1 "+%Y-%m-%d_%H-%M-%S.mp4"

  


  We now have a requirement to replace this stream with a "blank screen" under certain conditions (for privacy reasons).

  


  I know it is possible to encode a bitmap for a certain length of time using ffmpeg (Creating a video from a single image for a specific duration in ffmpeg).

  


  Is it possible to treat this single bitmap as a "stream" that can be recorded using the segment feature ?

  


  I have tried combining the two commands :

  


  ffmpeg -loop -i black_1280x720.bmp -c:v libx264 -pix_fmt yuv420p -vf scale=1280:720 -f segment -segment_time 60 -strftime 1 "+%Y-%m-%d_%H-%M-%S.mp4"

  


  where black_1280x720.bmp is a 1280x720 all-black bitmap. I get a Output file #0 does not contain any stream error.

  


• Deploying on google App Engine : An error occurred : ffmpeg was killed with signal SIGABRT Error : ffmpeg was killed with signal SIGABRT

  27 août 2020, par Jérémy Gachon

  I wrote a node-js api, with node-js and fluent-ffmpeg :

  


  'use strict';
require('babel-register');
const path = require('path');    
const ffmpeg = require('fluent-ffmpeg');


  


  [...]

  


  var infs = new ffmpeg

infs.addInput(doc.data().url).outputOptions([
            '-preset slow', '-g 48', '-sc_threshold 0',
            '-map 0:0', '-map 0:1', '-map 0:0', '-map 0:1',
            '-s:v:0 1280x720', '-c:v:0 libx264', '-b:v:0 2000k',
            // "-var_stream_map", "'v:0,a:0 v:1,a:1'",
            '-master_pl_name ./' + req.params.id + '/master' + req.params.id + '.m3u8',
            '-f hls', '-hls_time 6', '-hls_list_size 0',
            '-hls_segment_filename ./' + req.params.id + '/fileSequence|' + req.params.id + '|%d|v%v.ts',
            '-max_muxing_queue_size 1024',
        ]).output('./' + req.params.id + '/video' + req.params.id + '.m3u8')
            .on('start', function (commandLine) {
                console.log('Spawned Ffmpeg with command: ' + commandLine);
            })
            .on('error', function (err, stdout, stderr) {
                console.log('An error occurred: ' + err.message, err, stderr);
            })
            .on('progress', function (progress) {
                console.log('Processing: ' + progress.percent + '% done')
            })
            .on('end', function (err, stdout, stderr) {

                console.log('Finished processing!' /*, err, stdout, stderr*/)
            })
            .run()
        res.status(200).send('GG').end();
    } 
   });


  


  [...]

  


  That work with

  


  


  node app.js

  


  


  on my macbook pro, but when i do

  


  


  gcloud app deploy

  


  


  and I call the public url, I have this logs :

  


  Processing: undefined% done
An error occurred: ffmpeg was killed with signal SIGABRT Error: ffmpeg was killed with signal SIGABRT 


  


  Here is my app.yaml :

  


      # Copyright 2017, Google, Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# [START gae_flex_quickstart_yaml]
runtime: nodejs
env: flex

# This sample incurs costs to run on the App Engine flexible environment.
# The settings below are to reduce costs during testing and are not appropriate
# for production use. For more information, see:
# https://cloud.google.com/appengine/docs/flexible/nodejs/configuring-your-app-with-app-yaml
manual_scaling:
  instances: 1
resources:
  cpu: 1
  memory_gb: 6
  disk_size_gb: 30

# [END gae_flex_quickstart_yaml]


  


  

  


  How can I do to deploy correctly my node-js api on google app engine ?

  


  Thank's in advance.

  


  Jérémy.