Difference between revisions of "Android support"
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BoofCV works without modification on Android systems, however to | BoofCV works without modification on Android systems, however you will need to convert Android specific image types into BoofCV image types. Support is provided for converting Bitmap, NV21, and YUV420 images. Camera 2 API is actively supported while camera 1 API is unsupported but can still be used. | ||
* [http://boofcv.org/javadoc/integration/boofcv/android/ConvertBitmap.html Convert Bitmap] | * [http://boofcv.org/javadoc/integration/boofcv/android/ConvertBitmap.html Convert Bitmap] | ||
* [http://boofcv.org/javadoc/integration/boofcv/android/ConvertCameraImage.html Convert YUV_420_888] | |||
* [http://boofcv.org/javadoc/integration/boofcv/android/ConvertNV21.html Convert NV21] | * [http://boofcv.org/javadoc/integration/boofcv/android/ConvertNV21.html Convert NV21] | ||
To use | To use BoofCV in your project all you need to do is add the following line to dependencies in app/build.gradle | ||
= | <syntaxhighlight lang="java"> | ||
api group: 'org.boofcv', name: 'boofcv-android', version: '0.31' | |||
</syntaxhighlight> | |||
No need to add jars manually, cut-and-paste BoofCV's source, sacrifice a chicken, or whatever weird stuff you guys keep on wanting to do. It's very simple. Well that's a little bit of a lie. You might also want to add the following to your app/build.gradle file since in some versions there's a conflict: | |||
<syntaxhighlight lang="java"> | |||
// conflicts with a Android stuff | |||
< | |||
// | |||
configurations { | configurations { | ||
all*.exclude group: "xmlpull", module: "xmlpull" | all*.exclude group: "xmlpull", module: "xmlpull" | ||
all*.exclude group: "org.apache.commons", module: "commons-compress" | all*.exclude group: "org.apache.commons", module: "commons-compress" | ||
all*.exclude group: "com.thoughtworks.xstream", module: "commons-compress" | |||
} | } | ||
</syntaxhighlight> | |||
= Trouble Shooting = | |||
Does your code run much slower than the demo? Try switching the build to release. Click on "Build Variants" on the bottom left, then in the panel that pops up select "release" from the build variant. | |||
= Usage Examples = | = Usage Examples = | ||
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// from NV21 to YUV Multi-Spectral | // from NV21 to YUV Multi-Spectral | ||
ConvertNV21. | ConvertNV21.nv21ToPlanarYuv(bytes,width,height,colorMS,GrayU8.class); | ||
</syntaxhighlight> | </syntaxhighlight> | ||
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Android demonstration and benchmark applications are available for download from the google play store. | Android demonstration and benchmark applications are available for download from the google play store. | ||
* [https://play.google.com/store/apps/details?id=org.boofcv.android Demonstration] | * [https://play.google.com/store/apps/details?id=org.boofcv.android Demonstration] | ||
The demonstration visualizes several computer vision algorithms and provides a good estimate on what sort of runtime performance can be expected when using BoofCV on Android | The demonstration visualizes several computer vision algorithms and provides a good estimate on what sort of runtime performance can be expected when using BoofCV on Android. | ||
* [http://peterabeles.com/blog/?p=204 Demonstration Instructions] | * [http://peterabeles.com/blog/?p=204 Demonstration Instructions] | ||
* [[Android_benchmark_app|Benchmark Wiki]] | * [[Android_benchmark_app|Benchmark Wiki]] | ||
Revision as of 19:58, 16 October 2018
BoofCV works without modification on Android systems, however you will need to convert Android specific image types into BoofCV image types. Support is provided for converting Bitmap, NV21, and YUV420 images. Camera 2 API is actively supported while camera 1 API is unsupported but can still be used.
To use BoofCV in your project all you need to do is add the following line to dependencies in app/build.gradle
api group: 'org.boofcv', name: 'boofcv-android', version: '0.31'
No need to add jars manually, cut-and-paste BoofCV's source, sacrifice a chicken, or whatever weird stuff you guys keep on wanting to do. It's very simple. Well that's a little bit of a lie. You might also want to add the following to your app/build.gradle file since in some versions there's a conflict:
// conflicts with a Android stuff
configurations {
all*.exclude group: "xmlpull", module: "xmlpull"
all*.exclude group: "org.apache.commons", module: "commons-compress"
all*.exclude group: "com.thoughtworks.xstream", module: "commons-compress"
}
Trouble Shooting
Does your code run much slower than the demo? Try switching the build to release. Click on "Build Variants" on the bottom left, then in the panel that pops up select "release" from the build variant.
Usage Examples
A more detailed and working example for processing video images in Android can be found at the link below. Short code snippets are included in this section.
Full Examples:
Converting Bitmap images
// Easiest way to convert a Bitmap into a BoofCV type
GrayU8 image = ConvertBitmap.bitmapToGray(bitmap, (GrayU8)null, null);
// If you are converting a sequence of images it is faster reuse a
// previously declare image and buffer
byte[] workBuffer = ConvertBitmap.declareStorage(bitmap, null);
ConvertBitmap.bitmapToGray(bitmap, image, workBuffer);
// Convert back into a Bitmap
ConvertBitmap.grayToBitmap(image, bitmap, workBuffer);
// another less efficient way
bitmap = ConvertBitmap.grayToBitmap(image, Bitmap.Config.ARGB_8888);
// Functions are also provided for multi-spectral images
Planar<GrayF32> color = ConvertBitmap.bitmapToMS(bitmap, null, GrayF32.class, null);
Converting NV21 Images
Data from camera previews is made available in the NV21 image format.
// from NV21 to gray scale
ConvertNV21.nv21ToGray(bytes,width,height,gray)
// from NV21 to YUV Multi-Spectral
ConvertNV21.nv21ToPlanarYuv(bytes,width,height,colorMS,GrayU8.class);
Besides converting images, VisualizeImageData is provided for visualizing
Android Apps
Android demonstration and benchmark applications are available for download from the google play store.
The demonstration visualizes several computer vision algorithms and provides a good estimate on what sort of runtime performance can be expected when using BoofCV on Android.