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Auto-generating highlight reels for keynotes, talk shows and more using Google Cloud ML

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Google Cloud Video Intelligence API Node.js Samples

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The Cloud Video Intelligence API allows developers to use Google video analysis technology as part of their applications.

Table of Contents

Setup

  1. Read Prerequisites and How to run a sample first.

  2. Install dependencies:

    With npm:

    npm install
    

    With yarn:

    yarn install
    

Samples

Video Intelligence

View the documentation or the source code.

Usage: node analyze.js --help

Commands:
  faces <gcsUri>        Analyzes faces in a video stored in Google Cloud Storage using the Cloud Video Intelligence API.
  shots <gcsUri>        Analyzes shot angles in a video stored in Google Cloud Storage using the Cloud Video
                        Intelligence API.
  labels-gcs <gcsUri>   Labels objects in a video stored in Google Cloud Storage using the Cloud Video Intelligence API.
  labels-file <gcsUri>  Labels objects in a video stored locally using the Cloud Video Intelligence API.
  safe-search <gcsUri>  Detects explicit content in a video stored in Google Cloud Storage.

Options:
  --help  Show help                                                                                            [boolean]

Examples:
  node analyze.js faces gs://demomaker/larry_sergey_ice_bucket_short.mp4
  node analyze.js shots gs://demomaker/sushi.mp4
  node analyze.js labels-gcs gs://demomaker/tomatoes.mp4
  node analyze.js labels-file resources/cat.mp4
  node analyze.js safe-search gs://demomaker/tomatoes.mp4

For more information, see https://cloud.google.com/video-intelligence/docs

Running the tests

  1. Set the GCLOUD_PROJECT and GOOGLE_APPLICATION_CREDENTIALS environment variables.

  2. Run the tests:

    With npm:

    npm test
    

    With yarn:

    yarn test
    

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Auto-generating highlight reels for keynotes, talk shows and more using Google Cloud ML

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