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• tests/api/api-codec-param-test : Do not directly access caps_internal

  16 juin 2016, par Michael Niedermayer

  tests/api/api-codec-param-test : Do not directly access caps_internal
  The caps_internal field has moved without major bump and direct
  
  access causes crashes, found when testing 3.1
  Signed-off-by : Michael Niedermayer <michael@niedermayer.cc>
  

  • [DH] tests/api/api-codec-param-test.c

• avcodec/videotoolboxenc : Fix concurrent access to CVPixelBufferRef

  7 juillet 2024, par Zhao Zhili

  avcodec/videotoolboxenc : Fix concurrent access to CVPixelBufferRef
  For a frame comes from AV_HWDEVICE_TYPE_VIDEOTOOLBOX, it's
  
  CVPixelBufferRef is maintained by a pool. CVPixelBufferRef returned
  
  to the pool when frame buffer reference reached to zero. However,
  
  VTCompressionSessionEncodeFrame also hold a reference to the
  
  CVPixelBufferRef. So a new frame get from av_hwframe_get_buffer
  
  may access a CVPixelBufferRef which still used by the encoder.
  
  It's only after vtenc_output_callback that we can make sure
  
  CVPixelBufferRef has been released by the encoder.
  The issue can be tested with sample from trac #10884.
  
  ffmpeg -hwaccel videotoolbox \
  
  	-hwaccel_output_format videotoolbox_vld \
  
          -i input.mp4 \
  
  	-c:v hevc_videotoolbox \
  
  	-profile:v main \
  
          -b:v 3M \
  
          -vf scale_vt=w=iw/2:h=ih/2:color_matrix=bt709:color_primaries=bt709:color_transfer=bt709 \
  
          -c:a copy \
  
  	-tag:v hvc1 \
  
  	output.mp4
  Withtout the patch, there are some out of order images in output.mp4.
  Signed-off-by : Zhao Zhili <zhilizhao@tencent.com>
  

  • [DH] libavcodec/videotoolboxenc.c

• Google App Engine - Access file after uploaded to bucket

  28 mai 2021, par jessiPP

  I have uploaded a file using my google app engine backend to my storage bucket but now I cannot access the file to pass in into ffmpeg. I am getting this error message from the try-catch : "The input file does not exist". I can see that the file was uploaded because I checked my developer console under the storage bucket. I am using the boilerplate code provided by google but added the ffmpeg for testing. I am trying to access the path to the uploaded file using, but it is incorrect, though I am getting the bucket.name value and the blob.name value. I am using the "flex" environment for this.

  


  const originalFilePath = `gs://${bucket.name}/${blob.name}`; 


  


  here is the full code :

  


  const process = require('process'); // Required to mock environment variables
const express = require('express');
const helpers = require('./helpers/index');
const Multer = require('multer');
const bodyParser = require('body-parser');
const ffmpeg = require("ffmpeg"); //https://www.npmjs.com/package/ffmpeg
const {Storage} = require('@google-cloud/storage');

// Instantiate a storage client
const storage = new Storage();

const app = express();
app.set('view engine', 'pug');
app.use(bodyParser.json());

// Multer is required to process file uploads and make them available via
// req.files.
const multer = Multer({
storage: Multer.memoryStorage(),
 limits: {
  fileSize: 5 * 1024 * 1024, // no larger than 5mb, you can change as needed.
 },
});

// A bucket is a container for objects (files).
const bucket = storage.bucket(process.env.GCLOUD_STORAGE_BUCKET);

// Display a form for uploading files.
app.get('/', (req, res) => {
 res.render('form.pug');
});

// Process the file upload and upload to Google Cloud Storage.
app.post('/upload', multer.single('file'), (req, res, next) => {

if (!req.file) {
 res.status(400).send('No file uploaded.');
 return;
}

// Create a new blob in the bucket and upload the file data.
const blob = bucket.file(req.file.originalname);
const blobStream = blob.createWriteStream({
 resumable: false,
});

blobStream.on('error', err => {
 next(err);
});

blobStream.on('finish', () => {

const audioFile = helpers.replaceAllExceptNumbersAndLetters(new Date());

// this path is incorrect but I cannot find correct way to do it
const originalFilePath = `gs://${bucket.name}/${blob.name}`; 

const filePathOutput = `gs://${bucket.name}/${audioFile}.mp3`;

try {
 const process = new ffmpeg(originalFilePath);
 process.then(function (video) {
 // Callback mode
 video.fnExtractSoundToMP3(filePathOutput, (error, file) => {
 if (!error)
  res.send(`audio file: ${file}`);
 });
}, (error) => {
 res.send(`process error: ${error}`);

});
} catch (e) {
 res.send(`try catch error: ${JSON.stringify(e)} | bucket: ${JSON.stringify(bucket)} | 
 blob: : ${JSON.stringify(blob)}`);
}  


});

blobStream.end(req.file.buffer);

});

const PORT = process.env.PORT || 8080;
app.listen(PORT, () => {
 console.log(`App listening on port ${PORT}`);
 console.log('Press Ctrl+C to quit.');
});


module.exports = app;