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• How convert video to mp4 before upload to Google Storage ?

  6 février 2018, par Sofiia Vynnytska

  Currently, I have an API which uploads files to Google Storage. If user uploads video it should be converted to mp4. I took a look at FFMEPG and Java wrapper around the FFmpeg , but I need to convert video directly from InputStream without writing into a disk. Is there any solution to convert InputStream into mp4 ?

• How to upload object to a bucket in Google Cloud Platform from Python script

  7 juillet 2016, par Bryan

  The goal of this script is to extract audio from a video file using ffmpeg and upload it into a bucket on Google Cloud Platform each time it is called. Eventually I will have to extract audio from a large list of videos, so ideally I would want my script to extract and subsequently upload it into the cloud.

  My confusion is how to use GCP API to upload my object into a bucket. Any advice would be greatly appreciated !

  Link for reference : https://cloud.google.com/storage/docs/json_api/v1/json-api-python-samples#setup-code

  import subprocess
  
  import sys
  
  import re 
  
  
  
  fullVideo = sys.argv[1]
  
  title = re.findall('^([^.]*).*', fullVideo)
  
  title = str(title[0])
  
  subprocess.call('ffmpeg -i ' + fullVideo + ' -vn -ab 128k ' + title + '.flac', shell = True)
  
  
  
  def upload_object(bucket, filename, readers, owners):
  
      service = create_service()
  
  
  
      # This is the request body as specified:
  
      # http://g.co/cloud/storage/docs/json_api/v1/objects/insert#request
  
      body = {
  
          'name': filename,
  
      }
  
  
  
      # If specified, create the access control objects and add them to the
  
      # request body
  
      if readers or owners:
  
          body['acl'] = []
  
  
  
      for r in readers:
  
          body['acl'].append({
  
              'entity': 'user-%s' % r,
  
              'role': 'READER',
  
              'email': r
  
          })
  
      for o in owners:
  
          body['acl'].append({
  
              'entity': 'user-%s' % o,
  
              'role': 'OWNER',
  
              'email': o
  
          })
  
  
  
      # Now insert them into the specified bucket as a media insertion.
  
      # http://g.co/dev/resources/api-libraries/documentation/storage/v1/python/latest/storage_v1.objects.html#insert
  
      with open(filename, 'rb') as f:
  
          req = service.objects().insert(
  
              bucket=bucket, body=body,
  
              # You can also just set media_body=filename, but # for the sake of
  
              # demonstration, pass in the more generic file handle, which could
  
              # very well be a StringIO or similar.
  
              media_body=http.MediaIoBaseUpload(f, 'application/octet-stream'))
  
          resp = req.execute()
  
  
  
      return resp

• 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