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.