Skip to main content

Google Cloud Vision API client library

Project description

GA pypi versions

The Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g., “sailboat”, “lion”, “Eiffel Tower”), detects individual objects and faces within images, and finds and reads printed words contained within images. You can build metadata on your image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis. Analyze images uploaded in the request or integrate with your image storage on Google Cloud Storage.

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 Vision 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 >= 3.6

Deprecated Python Versions

Python == 2.7.

The last version of this library compatible with Python 2.7 is google-cloud-vision==1.0.0.

RaspberryPi ARM devices

Note: Raspberry Pi ARMv6 is not supported because there is an internal binary google that does not comply with armv6 processors.

Mac/Linux

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

Windows

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

Example Usage

from google.cloud import vision

client = vision.ImageAnnotatorClient()
response = client.annotate_image({
  'image': {'source': {'image_uri': 'gs://my-test-bucket/image.jpg'}},
  'features': [{'type_': vision.Feature.Type.FACE_DETECTION}]
})

Known Limitations

Pylint Does Not Work Out Of The Box

Pylint throws errors by default when checking code that uses feature methods on the ImageAnnotatorClient class, such as label_detection() or text_detection().

As a workaround, member checking on all methods of the ImageAnnotatorClient can be disabled using Pylint’s generated-members option. To do this on a line-by-line basis, add a comment like # pylint: disable=no-member to suppress this error. To do this for a whole project, you can add the following lines to a .pylintrc file in your project:

[TYPECHECK]

generated-members=<<REGULAR EXPRESSION>>

Substitute a regular expression of your choosing that matches all lines for which you want to disable this error check. For example, if you choose a convention of naming your ImageAnnotatorClient variables image_annotator_client, then your regex could be image_annotator_client.* or something similar.

Next Steps

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

google-cloud-vision-3.4.0.tar.gz (759.5 kB view details)

Uploaded Source

Built Distribution

google_cloud_vision-3.4.0-py2.py3-none-any.whl (444.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file google-cloud-vision-3.4.0.tar.gz.

File metadata

  • Download URL: google-cloud-vision-3.4.0.tar.gz
  • Upload date:
  • Size: 759.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for google-cloud-vision-3.4.0.tar.gz
Algorithm Hash digest
SHA256 cb2c11561d212fa933a4090a45521404618000cbf21ee34a5b30a45034473b4e
MD5 a5f06c8d721136575d98d2457e00dfcb
BLAKE2b-256 a703dd2e1056e3bc88d6889d8f7d8362330da28ed8c665fb78d70865edb4cf48

See more details on using hashes here.

Provenance

File details

Details for the file google_cloud_vision-3.4.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for google_cloud_vision-3.4.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 b0ae2567f34acde95c1e5ffb0fa54d08690d8a7200f80334aa764146989c8418
MD5 c8ae7b3c2283d7e0bec4029463e898a0
BLAKE2b-256 a41903c14401f0e9690ae4d9888dbfa4dc9890c81d670c3cb3d0725366b23f6a

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page