Java idiomatic client for Google Cloud Vision.
If you are using Maven, add this to your pom.xml file
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-vision</artifactId>
<version>1.74.0</version>
</dependency>
If you are using Gradle, add this to your dependencies
compile 'com.google.cloud:google-cloud-vision:1.74.0'
If you are using SBT, add this to your dependencies
libraryDependencies += "com.google.cloud" % "google-cloud-vision" % "1.74.0"
See the Authentication section in the base directory's README.
Google Cloud Vision API allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content.
See the Vision client library docs to learn how to use this Cloud Vision API Client Library.
You will need a Google Developers Console project with the Vision API enabled. Follow these instructions to get your project set up. You will also need to set up the local development environment by installing the Google Cloud SDK and running the following commands in command line: gcloud auth login
and gcloud config set project [YOUR PROJECT ID]
.
You'll need to obtain the google-cloud-vision
library. See the Quickstart section to add google-cloud-vision
as a dependency in your code.
In AnnotateImage.java we put a quick start example, which shows how you can use the Google Vision API to automatically annotate an image (like "cat", "whiskers", "mammal" for a picture of a cat).
For an example picture file, you can use the wakeupcat.jpg image from the samples repository.
To get help, follow the instructions in the shared Troubleshooting document.
Vision uses gRPC for the transport layer.
Java 7 or above is required for using this client.
This library follows Semantic Versioning.
It is currently in major version one (1.y.z
), which means that the public API should be considered stable.
Contributions to this library are always welcome and highly encouraged.
See google-cloud
's CONTRIBUTING documentation and the shared documentation for more information on how to get started.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. See Code of Conduct for more information.
Apache 2.0 - See LICENSE for more information.