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• 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

• Google Colab Runtime Error please install ffmpeg (version 4.2 is currently supported) andbuild torchvision from source

  4 juillet 2021, par Iman

  I'm using Google Colab to write a program using torch vision to extract frames from an mp4 video in my google drive. Thus far, I haven't wrote the full code yet but have been experimenting with torch vision.io library. Upon running the code, I get the following errors.

  


  Mounted at /content/gdrive&#xA;---------------------------------------------------------------------------&#xA;RuntimeError                              Traceback (most recent call last)&#xA; in <module>()&#xA;      6 &#xA;      7 video_path = "/content/drive/MyDrive/Training-Data-Videos/MASKED/00_MASKED_0_0.mp4"&#xA;----> 8 reader = torchvision.io.VideoReader(video_path, "video")&#xA;      9 reader.seek(2.0)&#xA;     10 frame = next(reader)&#xA;&#xA;/usr/local/lib/python3.7/dist-packages/torchvision/io/__init__.py in __init__(self, path, stream)&#xA;    106                 &#x2B; "to enable video_reader support, please install "&#xA;    107                 &#x2B; "ffmpeg (version 4.2 is currently supported) and"&#xA;--> 108                 &#x2B; "build torchvision from source."&#xA;    109             )&#xA;    110         self._c = torch.classes.torchvision.Video(path, stream)&#xA;&#xA;RuntimeError: Not compiled with video_reader support, to enable video_reader support, please install ffmpeg (version 4.2 is currently supported) andbuild torchvision from source.&#xA;&#xA;</module>

  


  The code that I have written in the notebook so far is the following :

  


  import os 
import torchvision 
from google.colab import drive
drive.mount('/content/gdrive', force_remount=True)

video_path = "/content/drive/MyDrive/Training-Data-Videos/MASKED/00_MASKED_0_0.mp4"
reader = torchvision.io.VideoReader(video_path, "video")
reader.seek(2.0)
frame = next(reader)
print (frame)



  


  To solve the problem, I tried to install ffmpeg on colab as this post says but it did not work. Can someone tell me what is the error ?

  


• Enable FFMPEG extension on google app engine

  23 mars 2015, par manish1706

  I am searching for the feature/cmd that can enable FFMPEG extension for php application over App Engine.