Recherche avancée

Sur d’autres sites (9568)

• ffmpeg - color-grading video material AND display original source as picture-in-picture, using -filter_complex

  5 octobre 2019, par raven

  this is my first post on this forum, so please be gentle in case I accidentally do trip over any forum rules that I would not know of yet :).

  I would like to apply some color-grading to underwater GoPro footage. To quicker gauge the effect of my color settings (trial-and-error, as of yet), would like to see the original input video stream as a PIP (e.g., scaled down to 50% or even 30%), in the bottom-right corner of the converted output movie.

  I have one input movie that is going to be color graded. The PIP should use the original as an input, just a scaled-down version of it.

  I would like to use ffmpeg’s "-filter_complex" option to do the PIP, but all examples I can find on "-filter_complex" would use two already existing movies. Instead, I would like to make the color-corrected stream an on-the-fly input to "-filter_complex", which then renders the PIP.

  Is that doable, all in one go ?

  Both the individual snippets below work fine, I now would like to combine these and skip the creation of an intermediate color-graded TMP output which then gets combined, with the original, in a final PIP creation process.
  Your help combining these two separate steps into one single "-filter_complex" action is greatly appreciated !

  Thanks in advance,
  raven.

  [existing code snippets (M$ batch files)]
  
  
  
  ::declarations/defines::
  
  set "INPUT="
  
  set "TMP="
  
  set "OUTPUT="
  
  set "FFMPG="
  
  set "QU=9" :: quality settings
  
  
  
  set "CONV='"0 -1 0 -1 5 -1 0 -1 0:0 -1 0 -1 5 -1 0 -1 0:0 -1 0 -1 5 -1 
  
  0 -1 0:0 -1 0 -1 5 -1 0 -1 0'"" :: sharpening convolution filter
  
  
  
  ::color-grading part::
  
  %FFMPG% -i %INPUT% -vf convolution=%CONV%,colorbalance=rs=%rs%:gs=%gs%:bs=%bs%:rm=%rm%:gm=%gm%:bm=%bm%:rh=%rh%:gh=%gh%:bh=%bh% -q:v %QU% -codec:v mpeg4 %TMP%
  
  
  
  ::PIP part::
  
  %FFMPG% -i %TMP% -i %INPUT% -filter_complex "[1]scale=iw/3:ih/3 
  
  [pip]; [0][pip] overlay=main_w-overlay_w-10:main_h-overlay_h-10" -q:v 
  
  %QU% -codec:v mpeg4 %OUTPUT%
  
  
  
  [/existing code]

• How to use Google's Cloud Speech-to-Text API to transcribe a video using the REST API

  8 juin 2018, par mrb

  I’d like to have the transcript of 2 people speaking in a video, but I get an empty response from the Cloud Speech-to-Text API

  Approach :

  I have a 56 minute video file containing a conversation between two people. I would like to have the transcript of that conversation, and I would like to use Google’s Cloud Speech-to-Text API to get that.

  To save a little on my Google Cloud Storage I converted to video to audio first by using mmpeg.

  First I’d tried to figure out the audio codec by using the command below, and it looks like AAC.
  ffmpeg -i video.mp4

  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'videoplayback.mp4':
  
    Metadata:
  
      major_brand     : mp42
  
      minor_version   : 0
  
      compatible_brands: isommp42
  
      creation_time   : 2015-12-30T08:17:14.000000Z
  
    Duration: 00:56:03.99, start: 0.000000, bitrate: 362 kb/s
  
      Stream #0:0(und): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p, 490x360 [SAR 1:1 DAR 49:36], 264 kb/s,     29.97 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
  
      Metadata:
  
        handler_name    : VideoHandler
  
      Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 96 kb/s (default)
  
      Metadata:
  
        creation_time   : 2015-12-30T08:17:31.000000Z
  
        handler_name    : IsoMedia File Produced by Google, 5-11-2011    

  So I took that from the video by using :
  ffmpeg -i video.mp4 -vn -acodec copy myaudio.aac

  Details so far :
  ffmpeg -i myaudio.aac
  Outputs :

  Input #0, aac, from 'myaudio.aac':
  
    Duration: 00:56:47.49, bitrate: 97 kb/s
  
      Stream #0:0: Audio: aac (LC), 44100 Hz, stereo, fltp, 97 kb/s

  After that I converted it to opus because I’m told that opus is better
  ffmpeg -i myaudio.aac -acodec libopus -b:a 97k -vbr on -compression_level 10 myaudio.opus

  Info so far :
  opusinfo myaudio.opus
  

  User comments section follows...
  
      encoder=Lavc58.18.100 libopus
  
  Opus stream 1:
  
      Pre-skip: 312
  
      Playback gain: 0 dB
  
      Channels: 2
  
      Original sample rate: 48000Hz
  
      Packet duration:   20.0ms (max),   20.0ms (avg),   20.0ms (min)
  
      Page duration:   1000.0ms (max), 1000.0ms (avg), 1000.0ms (min)
  
      Total data length: 29956714 bytes (overhead: 0.872%)
  
      Playback length: 56m:03.990s
  
      Average bitrate: 71.24 kb/s, w/o overhead: 70.62 kb/s

  I this point I uploaded the myaudio.opus to the Google Cloud Storage.

  curl POST 1
  I started the speech recognition by doing a POST with curl :

  curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "OGG_OPUS", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

  Response : {"name": "123456789"}
  123456789 was not the actual value.

  curl GET 1
  Now I wanted to have the results :

  curl --request GET --url 'https://speech.googleapis.com/v1/operations/123456789?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

  This gave me the error : Error : Unable to recognize speech, possible error in encoding or channel config. Please correct the config and retry the request.

  So I updated the encoding configuration from OGG_OPUS to LINEAR16.

  curl POST 2
  Did the post again :

  curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "LINEAR16", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

  Response : {"name": "987654321"}

  curl GET 2
  

  curl --request GET --url 'https://speech.googleapis.com/v1/operations/987654321?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

  Response :

  {
  
    "name": "987654321",
  
    "metadata": {
  
      "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeMetadata",
  
      "progressPercent": 100,
  
      "startTime": "2018-06-08T11:01:24.596504Z",
  
      "lastUpdateTime": "2018-06-08T11:01:51.825882Z"
  
    },
  
    "done": true
  
  }

  The problem is that I don’t get the actual transcription. According the the documentation there should be a response key in the response containing the data.

  Since I’m kinda stuck here I’d like to know if I’m doing something completely wrong. I don’t have any technical or resource limitation so all suggestions are very welcome ! Also happy to change my approach.

  Thanks in advance ! Cheers

• How to use Google's Cloud Speech-to-Text REST API to transcribe a video

  24 juillet 2018, par mrb

  I’d like to have the transcript of 2 people speaking in a video, but I get an empty response from the Cloud Speech-to-Text API

  Approach :

  I have a 56 minute video file containing a conversation between two people. I would like to have the transcript of that conversation, and I would like to use Google’s Cloud Speech-to-Text API to get that.

  To save a little on my Google Cloud Storage I converted to video to audio first by using mmpeg.

  First I’d tried to figure out the audio codec by using the command below, and it looks like AAC.
  ffmpeg -i video.mp4

  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'videoplayback.mp4':
  
    Metadata:
  
      major_brand     : mp42
  
      minor_version   : 0
  
      compatible_brands: isommp42
  
      creation_time   : 2015-12-30T08:17:14.000000Z
  
    Duration: 00:56:03.99, start: 0.000000, bitrate: 362 kb/s
  
      Stream #0:0(und): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p, 490x360 [SAR 1:1 DAR 49:36], 264 kb/s,     29.97 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
  
      Metadata:
  
        handler_name    : VideoHandler
  
      Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 96 kb/s (default)
  
      Metadata:
  
        creation_time   : 2015-12-30T08:17:31.000000Z
  
        handler_name    : IsoMedia File Produced by Google, 5-11-2011    

  So I took that from the video by using :
  ffmpeg -i video.mp4 -vn -acodec copy myaudio.aac

  Details so far :
  ffmpeg -i myaudio.aac
  Outputs :

  Input #0, aac, from 'myaudio.aac':
  
    Duration: 00:56:47.49, bitrate: 97 kb/s
  
      Stream #0:0: Audio: aac (LC), 44100 Hz, stereo, fltp, 97 kb/s

  After that I converted it to opus because I’m told that opus is better
  ffmpeg -i myaudio.aac -acodec libopus -b:a 97k -vbr on -compression_level 10 myaudio.opus

  Info so far :
  opusinfo myaudio.opus
  

  User comments section follows...
  
      encoder=Lavc58.18.100 libopus
  
  Opus stream 1:
  
      Pre-skip: 312
  
      Playback gain: 0 dB
  
      Channels: 2
  
      Original sample rate: 48000Hz
  
      Packet duration:   20.0ms (max),   20.0ms (avg),   20.0ms (min)
  
      Page duration:   1000.0ms (max), 1000.0ms (avg), 1000.0ms (min)
  
      Total data length: 29956714 bytes (overhead: 0.872%)
  
      Playback length: 56m:03.990s
  
      Average bitrate: 71.24 kb/s, w/o overhead: 70.62 kb/s

  I this point I uploaded the myaudio.opus to the Google Cloud Storage.

  curl POST 1
  I started the speech recognition by doing a POST with curl :

  curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "OGG_OPUS", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

  Response : {"name": "123456789"}
  123456789 was not the actual value.

  curl GET 1
  Now I wanted to have the results :

  curl --request GET --url 'https://speech.googleapis.com/v1/operations/123456789?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

  This gave me the error : Error : Unable to recognize speech, possible error in encoding or channel config. Please correct the config and retry the request.

  So I updated the encoding configuration from OGG_OPUS to LINEAR16.

  curl POST 2
  Did the post again :

  curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "LINEAR16", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

  Response : {"name": "987654321"}

  curl GET 2
  

  curl --request GET --url 'https://speech.googleapis.com/v1/operations/987654321?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

  Response :

  {
  
    "name": "987654321",
  
    "metadata": {
  
      "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeMetadata",
  
      "progressPercent": 100,
  
      "startTime": "2018-06-08T11:01:24.596504Z",
  
      "lastUpdateTime": "2018-06-08T11:01:51.825882Z"
  
    },
  
    "done": true
  
  }

  The problem is that I don’t get the actual transcription. According the the documentation there should be a response key in the response containing the data.

  Since I’m kinda stuck here I’d like to know if I’m doing something completely wrong. I don’t have any technical or resource limitation so all suggestions are very welcome ! Also happy to change my approach.

  Thanks in advance ! Cheers