This repo contains the Android client library & sample for the Microsoft Computer Vision API, an offering within Microsoft Cognitive Services, formerly known as Project Oxford.
The client library is a thin Java client wrapper for the Computer Vision API.
The easiest way to consume the client library is to add com.microsoft.projectoxford.vision package from Maven Central Repository. To find the latest version of client library, go to http://search.maven.org, and search for "com.microsoft.projectoxford".
To add the client library dependency from build.gradle file, add the following line in dependencies.
dependencies {
//
// Use the following line to include client library from Maven Central Repository
// Change the version number from the search.maven.org result
//
compile 'com.microsoft.projectoxford:vision:1.0.394'
// Your other Dependencies...
}
To do add the client library dependency from Android Studio:
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From Menu, Choose File > Project Structure
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Click on your app module
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Click on Dependencies tab
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Click "+" sign to add new dependency
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Pick "Library dependency" from the drop down list
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Type "com.microsoft.projectoxford" and hit the search icon from "Choose Library Dependency" dialog
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Pick the Project Oxford client library that you intend to use.
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Click "OK" to add the new dependency
This sample is an Android application to demonstrate the use of the Computer Vision API. It demonstrates image analysis, Optical Character Recognition (OCR), and smart thumbnail generation.
Android OS must be Android 4.1 or higher (API Level 16 or higher)
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First, you must obtain a Computer Vision API key by following the instructions on our website.
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Start Android Studio and open project from Vision > Android > Sample folder.
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In Android Studio -> "Project" panel -> "Android" view, open file "app/res/values/strings.xml", and find the keys
subscription_key
andsubscription_apiroot
. Replace the placeholder values with those obtained in step 1 above. If you cannot find the file "strings.xml", it is in folder "Sample\app\src\main\res\values\string.xml". -
In Android Studio, select menu "Build > Make Project" to build the sample, and "Run" to launch this sample app.
In Android Studio, select menu "Run", and "Run app" to launch this sample app.
Once the app is launched, click on buttons to use samples of between different scenarios, and follow the instructions on screen.
Microsoft will receive the images you upload and may use them to improve the Computer Vision API and related services. By submitting an image, you confirm you have consent from everyone in it.
We welcome contributions. Feel free to file issues and pull requests on the repo and we'll address them as we can. Learn more about how you can help on our Contribution Rules & Guidelines.
You can reach out to us anytime with questions and suggestions using our communities below:
- Support questions: StackOverflow
- Feedback & feature requests: Cognitive Services UserVoice Forum
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
All Microsoft Cognitive Services SDKs and samples are licensed with the MIT License. For more details, see LICENSE.
Sample images are licensed separately, please refer to LICENSE-IMAGE.
Developers using Cognitive Services, including this client library & sample, are expected to follow the “Developer Code of Conduct for Microsoft Cognitive Services”, found at http://go.microsoft.com/fwlink/?LinkId=698895.