Python Client for Video Intelligence¶
Video Intelligence: 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:
Installation¶
Install this library in a virtual environment using venv. venv is a tool that creates isolated Python environments. These isolated environments can have separate versions of Python packages, which allows you to isolate one project’s dependencies from the dependencies of other projects.
With venv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.
Code samples and snippets¶
Code samples and snippets live in the samples/ folder.
Supported Python Versions¶
Our client libraries are compatible with all current active and maintenance versions of Python.
Python >= 3.7
Unsupported Python Versions¶
Python <= 3.6
If you are using an end-of-life version of Python, we recommend that you update as soon as possible to an actively supported version.
Mac/Linux¶
python3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-videointelligence
Windows¶
py -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-videointelligence
Next Steps¶
Read the Client Library Documentation for Video Intelligence to see other available methods on the client.
Read the Video Intelligence Product documentation to learn more about the product and see How-to Guides.
View this README to see the full list of Cloud APIs that we cover.
Note
Because this client uses grpc
library, it is safe to
share instances across threads. In multiprocessing scenarios, the best
practice is to create client instances after the invocation of
os.fork()
by multiprocessing.pool.Pool
or
multiprocessing.Process
.
This package includes clients for multiple versions of Video Intelligence.
By default, you will get version videointelligence_v1
.
API Reference¶
API Reference¶
API Reference¶
API Reference¶
API Reference¶
Changelog¶
For a list of all google-cloud-videointelligence
releases:
- Changelog
- 2.14.1 (2024-11-11)
- 2.14.0 (2024-10-24)
- 2.13.5 (2024-07-30)
- 2.13.4 (2024-07-08)
- 2.13.3 (2024-03-05)
- 2.13.2 (2024-02-22)
- 2.13.1 (2024-02-06)
- 2.13.0 (2024-02-01)
- 2.12.0 (2023-12-07)
- 2.11.4 (2023-09-19)
- 2.11.3 (2023-07-04)
- 2.11.2 (2023-06-01)
- 2.11.1 (2023-03-23)
- 2.11.0 (2023-02-28)
- 2.10.1 (2023-01-23)
- 2.10.0 (2023-01-10)
- 2.9.0 (2022-12-15)
- 2.8.3 (2022-10-10)
- 2.8.2 (2022-09-29)
- 2.8.1 (2022-08-12)
- 2.8.0 (2022-07-16)
- 2.7.1 (2022-06-06)
- 2.7.0 (2022-04-28)
- 2.6.1 (2022-03-05)
- 2.6.0 (2022-02-11)
- 2.5.1 (2021-11-01)
- 2.5.0 (2021-10-18)
- 2.4.0 (2021-10-07)
- 2.3.3 (2021-09-24)
- 2.3.2 (2021-07-26)
- 2.3.1 (2021-07-20)
- 2.3.0 (2021-07-12)
- 2.2.0 (2021-05-28)
- 2.1.0 (2021-03-31)
- 2.0.0 (2020-11-19)
- 1.16.1 (2020-11-18)
- 1.16.0 (2020-10-02)
- 1.15.0 (2020-06-09)
- 1.14.0 (2020-03-12)
- 1.13.0 (2020-02-13)
- 1.12.1
- 1.12.0
- 1.11.0
- 1.10.0
- 1.9.0
- 1.8.0
- 1.7.0
- 1.6.1
- 1.6.0
- 1.5.0
- 1.4.0
- 1.3.0
- 1.2.0
- 1.1.0
- 1.0.1
- 1.0.0
- 0.28.0