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:
- Select or create a Cloud Platform project.
- Enable billing for your project.
- Enable the Google Cloud Video Intelligence API.
- Setup Authentication.
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 >= 3.6
Unsupported Python Versions
Python == 2.7.
The last version of this library compatible with Python 2.7 is google-cloud-videointelligence==1.17.0.
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()