I'm using Huawei image segmentation for background removal from images. This code work perfectly fine on debug build but it does not work on a release build. I don't understand what could be the case.
Code:
private fun imageSegmentation(bitmap: Bitmap?) {
if (bitmap == null) {
dialog.dismiss()
Toast.makeText(requireContext(), "Something went wrong. Try again!", Toast.LENGTH_LONG).show()
return
}
val setting =
MLImageSegmentationSetting.Factory()
.setAnalyzerType(MLImageSegmentationSetting.BODY_SEG)
.setExact(true)
.create()
val analyzer = MLAnalyzerFactory.getInstance().getImageSegmentationAnalyzer(setting)
val mlFrame = MLFrame.Creator().setBitmap(bitmap).create()
val task = analyzer?.asyncAnalyseFrame(mlFrame)
task?.addOnSuccessListener { mlImageSegmentationResults ->
if (mlImageSegmentationResults != null) {
removalFlag = true
removalBitmap = mlImageSegmentationResults.foreground
} else
Toast.makeText(context, "No human body is detected!", Toast.LENGTH_LONG).show()
dialog.dismiss()
}?.addOnFailureListener {
Toast.makeText(context, "No human body is detected!", Toast.LENGTH_LONG).show()
dialog.dismiss()
}
}
Dependencies:
implementation 'com.huawei.hms:ml-computer-vision-segmentation:2.2.0.300'
implementation 'com.huawei.hms:ml-computer-vision-image-segmentation-body-model:2.2.0.300'
Note: According to my understanding the task?.addOnSuccessListener
is called but mlImageSegmentationResults
return's null.
CodePudding user response:
Stuff like this usually happens when you have ProGuard enabled but not correctly configured. Make sure to add appropriate rules to proguard-rules.pro
file to prevent it from obfuscating relevant classes.
Information about this is usually provided by the library developers. After a quick search I came up with this example. Sources seem to be documented well enough, so that it should not be a problem to find the correct settings.
Keep in mind that you probably need to add rules for more than one library.