google-cloud-videointelligence

Google Cloud Video Intelligence API client library


License
Apache-2.0
Install
pip install google-cloud-videointelligence==1.16.0

Documentation

Python Client for Google Cloud Video Intelligence

beta pypi versions

Google Cloud Video Intelligence API makes videos searchable, and discoverable, by extracting metadata with an easy to use API. You can now search every moment of every video file in your catalog and find every occurrence as well as its significance. It quickly annotates videos stored in Google Cloud Storage, and helps you identify key nouns entities of your video, and when they occur within the video. Separate signal from noise, by retrieving relevant information at the video, shot or per frame.

Quick Start

In order to use this library, you first need to go through the following steps:

  1. Select or create a Cloud Platform project.
  2. Enable billing for your project.
  3. Enable the Google Cloud Video Intelligence API.
  4. Setup Authentication.

Installation

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it's possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Supported Python Versions

Python >= 3.5

Deprecated Python Versions

Python == 2.7. Python 2.7 support will be removed on January 1, 2020.

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-videointelligence

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-videointelligence

Example Usage

from google.cloud import videointelligence

client = videointelligence.VideoIntelligenceServiceClient()
job = client.annotate_video(
    input_uri='gs://<bucket-name>/my_video.mp4',
    features=['LABEL_DETECTION', 'SHOT_CHANGE_DETECTION'],
)
result = job.result()

Next Steps