Sur d’autres sites (7188)

• FFMpegWriter() [Error 5] Access Denied

  8 juin 2016, par Guillermo

  So, I’m trying to save animations with the animation.save command. I installed ffmpeg in Windows 10 by placing a folder with its binaries in my drive C :\, I have also set the path in my system variables like C :\ffmpeg\bin, and finally, my code for the animation function saving looks like this

   if save=='True':
  
       mywriter = animation.FFMpegWriter()
  
       plt.rcParams['animation.ffmpeg_path'] = 'C:/ffmpeg/bin' 
  
       ani.save('mymovie.avi',writer=mywriter,fps=30)

  and all other kind of variants such as :

      mpl.animation.ffmpeg_path = r'C:\ffmpeg\bin' 
  
      mpl.animation.ffmpeg_path = 'C:\\ffmpeg\\bin' 

  No matter what I do, the result is always :

  File "<stdin>", line 2, in <module>
  
  File "Plot.py", line 168, in animate
  
  ani.save('mymovie.avi',writer=mywriter,fps=30)
  
  File "c:\users\guillermo\appdata\local\enthought\canopy\user\lib\site-packages\matplotlib\animation.py", line 801, in save
  
  with writer.saving(self._fig, filename, dpi):
  
  File "C:\Users\Guillermo\AppData\Local\Enthought\Canopy\App\appdata\canopy-1.6.1.3253.win-x86_64\lib\contextlib.py", line 17, in __enter__
  
  return self.gen.next()
  
  File "c:\users\guillermo\appdata\local\enthought\canopy\user\lib\site-packages\matplotlib\animation.py", line 194, in saving
  
  self.setup(*args)
  
  File "c:\users\guillermo\appdata\local\enthought\canopy\user\lib\site-packages\matplotlib\animation.py", line 184, in setup
  
  self._run()
  
  File "c:\users\guillermo\appdata\local\enthought\canopy\user\lib\site-packages\matplotlib\animation.py", line 212, in _run
  
  creationflags=subprocess_creation_flags)
  
  File "C:\Users\Guillermo\AppData\Local\Enthought\Canopy\App\appdata\canopy-1.6.1.3253.win-x86_64\lib\subprocess.py", line 710, in __init__
  
  errread, errwrite)
  
  File "C:\Users\Guillermo\AppData\Local\Enthought\Canopy\App\appdata\canopy-1.6.1.3253.win-x86_64\lib\subprocess.py", line 958, in _execute_child
  
  startupinfo)
  
  WindowsError: [Error 5] Access Denied
  
  </module></stdin>

  Any ideas ? :D

  ------------------------------------------------------------------------------

  EDIT : I will reference this answer as it is the one that helped me the best :
  http://stackoverflow.com/a/27017734/6050676

  It worked perfectly when using :

  plt.rcParams['animation.ffmpeg_path'] = 'C:\\ffmpeg\\bin\\ffmpeg.exe'  

• lavfi/vf_*_cuda : do not access hw contexts before checking they exist

  5 août 2024, par Anton Khirnov

  lavfi/vf_*_cuda : do not access hw contexts before checking they exist
  The checks are performed in init_processing_chain().
  

  • [DH] libavfilter/vf_bilateral_cuda.c
  • [DH] libavfilter/vf_chromakey_cuda.c
  • [DH] libavfilter/vf_colorspace_cuda.c
  • [DH] libavfilter/vf_scale_cuda.c

• Cannot access video in node buffer

  21 avril 2016, par user2792129

  Within my aws-lambda function, I’m trying take a snapshot of the first frame of an mp4 video that I uploaded. I’m using node-fluent-ffmpeg to do this. My logs say its not recognizing the source. So I logged the source (response.Body) and I got this :

  <buffer 00="00" 14="14" 66="66" 74="74" 79="79" 70="70" 71="71" 20="20" 08="08" 77="77" 69="69" 64="64" 65="65" 36="36" fc="fc" 6d="6d" 61="61" cc="cc" 40="40" 07="07" 01="01" 02="02" 99="99" 3d="3d" b7="b7" 51="51" 9a="9a" 2a="2a" 2c="2c" 8b="8b">
  
  </buffer>

  Can I access the buffer directly, or Is there a way i should be formatting this before I try to use it in this ffmpeg method ?

      // Download the video from S3, get thumbnail, and upload to a different S3 bucket.
  
       async.waterfall([
  
              function download(next) {
  
                  // Download the video from S3 into a buffer.
  
                  s3.getObject({
  
                          Bucket: srcBucket,
  
                          Key: srcKey
  
                      },
  
                      next);
  
                  },
  
              function snapshot(response, next) {
  
                  console.log('response.Body-------------------> ', response.Body);
  
                  // Get the first frame of the video and write it to tempDir
  
                  var proc = new ffmpeg(response.Body)
  
                    .takeScreenshots({
  
                        count: 1,
  
                        timemarks: [ '2' ] // number of seconds
  
                      }, tempDir, function(err) {
  
                      console.log('screenshots were saved')
  
                    });
  
  
  
                  },
  
              function transform(response, next) {
  
                  gm(tempDir).size(function(err, size) {
  
                      // Infer the scaling factor to avoid stretching the image unnaturally.
  
                      WIDTH = size.width;
  
                      HEIGHT = size.height;
  
  
  
  
  
                      if (WIDTH > HEIGHT) {
  
                          var side = HEIGHT;
  
                      }
  
                      else{
  
                          var side = WIDTH;
  
                      }
  
  
  
                      var scalingFactor = Math.min(
  
                                      MAX_WIDTH / side,
  
                                      MAX_HEIGHT / side
  
                                  );
  
                                  var width  = scalingFactor * side;
  
                                  var height = scalingFactor * side;
  
  
  
                      // Transform the image buffer in memory.
  
                      this.gravity("Center").crop(side, side).resize(width, height)
  
                          .toBuffer(imageType, function(err, buffer) {
  
                              if (err) {
  
                                  next(err); 
  
                                  console.log(err);
  
                              } else {
  
                                  next(null, response.ContentType, buffer);
  
  
  
                              }
  
                          });
  
  
  
  
  
                  });
  
              },
  
              function upload(contentType, data, next) {
  
                  // Stream the transformed image to a different S3 bucket.
  
                  s3.putObject({
  
                          Bucket: dstBucket,
  
                          Key: dstKey,
  
                          Body: data,
  
                          ContentType: contentType
  
                      },
  
                      next);
  
              }
  
              ], function (err) {
  
                  if (err) {
  
                      console.error(
  
                          'Unable to resize ' + srcBucket + '/' + srcKey +
  
                          ' and upload to ' + dstBucket + '/' + dstKey +
  
                          ' due to an error: ' + err
  
                      );
  
                  } else {
  
                      console.log(
  
                          'Successfully resized ' + srcBucket + '/' + srcKey +
  
                          ' and uploaded to ' + dstBucket + '/' + dstKey
  
                      );
  
                  }
  
  
  
                  callback(null, "message");
  
              }
  
  
  
  
  
          );

  Heres my log if that helps :