Google Cloud Video Intelligence API Python Samples

This directory contains samples for Google Cloud Video Intelligence API. Google Cloud Video Intelligence API allows developers to easily integrate feature detection in video.

Setup

Authentication

This sample requires you to have authentication setup. Refer to the Authentication Getting Started Guide for instructions on setting up credentials for applications.

Install Dependencies

1. Clone python-docs-samples and change directory to the sample directory you want to use.

   $ git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git

2. Install pip and virtualenv if you do not already have them. You may want to refer to the Python Development Environment Setup Guide for Google Cloud Platform for instructions.

3. Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.

   $ virtualenv env
   $ source env/bin/activate

4. Install the dependencies needed to run the samples.

   $ pip install -r requirements.txt

Samples

labels

To run this sample:

$ python labels.py

usage: labels.py [-h] path

This application demonstrates how to detect labels from a video
based on the image content with the Google Cloud Video Intelligence
API.

For more information, check out the documentation at
https://cloud.google.com/videointelligence/docs.

Usage Example:

    python labels.py gs://cloud-ml-sandbox/video/chicago.mp4

positional arguments:
  path        GCS file path for label detection.

optional arguments:
  -h, --help  show this help message and exit

The client library

This sample uses the Google Cloud Client Library for Python. You can read the documentation for more details on API usage and use GitHub to browse the source and report issues.