Python Client for Google Cloud Video Intelligence¶
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.
In order to use this library, you first need to go through the following steps:
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.
pip install virtualenv virtualenv <your-env> source <your-env>/bin/activate <your-env>/bin/pip install google-cloud-videointelligence
pip install virtualenv virtualenv <your-env> <your-env>\Scripts\activate <your-env>\Scripts\pip.exe install google-cloud-videointelligence
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()
This package includes clients for multiple versions of the Video Intelligence
API. By default, you will get
v1, the latest stable version.
A new beta release with additional features over the current stable version,
v1p3beta1, is provided to allow you to use these new features.
These are expected to move into the stable release soon; until then, the
usual beta admonishment (changes are possible, etc.) applies.
An API and type reference is provided for this beta:
The previous beta releases, spelled
v1beta2, are provided to continue to support code previously written
against them. In order to use ththem, you will want to import from e.g.
google.cloud.videointelligence_v1beta2 in lieu of
An API and type reference is provided the these betas also: