iOS Question [B4X] TextRecognition and SelfieSegmentation based on MLKit with memory leak in iOS

[b4x-de]

The code in the following examples causes a problem in iOS that leads to a memory leak:

[B4X] TextRecognition based on MLKit

[B4X] TextRecognition based on MLKit

This is a B4A + B4i solution. It recognizes text in images based on Google ML Kit. Dependencies: - B4i (local Mac only): https://www.b4x.com/b4i/files/MLKit.zip Don't miss: - B4i dependencies + #PlistExtra (for MediaChooser) in Main module. - B4i bundle files under Files\Special. The...

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[B4X] SelfieSegmentation with ML Kit

[B4X] SelfieSegmentation with ML Kit

Image source: https://en.wikipedia.org/wiki/Selfie#/media/File:TWC_Hokitika_Gorge_•_Stewart_Nimmo_•_MRD_1.jpg A B4A + B4i selfie segmentation feature based on Google ML Kit: https://developers.google.com/ml-kit/vision/selfie-segmentation The result is a mask image. In the example it is...

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In the ImageToMLImage function, “alloc” is used to reserve memory space to create an MLKitVisionImage from the transferred bitmap. This memory space is not released again afterwards. This code crashes when a large number of images are processed or when very large images are used.

image = image.Initialize("MLKVisionImage").RunMethod("alloc", Null).RunMethod("initWithImage:", Array(bmp))

When using the function on iOS, it would be better to ensure that the caller has a reference to the generated MLImage so that it can be explicitly released after processing. For example:

    Dim imgML As NativeObject
    imgML = ImageToMLImage(bmp).As(NativeObject)
    recognizer.RunMethod("processImage:completion:", Array(imgML, Me.as(NativeObject).RunMethod("createBlock", Null)))
    Wait For Process_Result(Success As Boolean, MLKText As Object)
    imgML.RunMethod("release", Null)
    imgML = Null