Python Client for Data Labeling API (Beta)
Data Labeling API: Public API for Google Cloud AI Data Labeling Service.
Quick Start
In order to use this library, you first need to go through the following steps:
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-datalabeling==0.4.1.
Mac/Linux
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-datalabelingWindows
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-datalabelingNext Steps
Read the Client Library Documentation for Data Labeling API API to see other available methods on the client.
Read the Data Labeling API Product documentation to learn more about the product and see How-to Guides.
View this repository’s main README to see the full list of Cloud APIs that we cover.
2 maintainers
Metadata
2 maintainers
Release files for google-cloud-datalabeling 1.5.0
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Source distribution (sdist)
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Built distribution (wheel)
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|---|---|---|---|---|
| google_cloud_datalabeling-1.5.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 195.2 kB
Release files / google-cloud-datalabeling-1.5.0.tar.gz
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| Size | 98.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / google_cloud_datalabeling-1.5.0-py2.py3-none-any.whl
| Download URL | google_cloud_datalabeling-1.5.0-py2.py3-none-any.whl |
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| Tags | Python 2 Python 3 |
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