Reading model from internal storage about android-tensorflow-lite-example

[GyanendroKh]

Well, I've been searching all over the place and finally I've figured it out. It's dead simple.
For some reason I thought that AssetFileDescriptor's getStartOffset is related to the actual tflite model but it's not. I think the getStartOffset gives the start point of the file in the application's asset. And for the tflite model the startOffset should be 0 because that's where the file start as it is only one file.
So, the code should be

File file = new File('path_to_model');
FileInputStream is = new FileInputStream(file);
    
return is.getChannel().map(FileChannel.MapMode.READ_ONLY, 0, file.length());

[liyoung1992]

I have the same problem

[susielau]

Hi, I have a similar issue. Has anyone figured out how to solve it?

[mehedi-shafi]

File modelFile = new File(this.modelPath);
FileChannel channel = new FileInputStream(modelFile).getChannel();
interpreterInference = new Interpreter(channel.map(FileChannel.MapMode.READ_ONLY, 0, modelFile.length()), new Interpreter.Options());

This does load the model. Without any issue. But it arises a new problem which is

Caused by: java.lang.IllegalStateException: Internal error: Unexpected failure when preparing tensor allocations: tensorflow/lite/kernels/conv.cc:237 input->dims->size != 4 (1 != 4)Node number 0 (CONV_2D) failed to prepare.
    
        at org.tensorflow.lite.NativeInterpreterWrapper.allocateTensors(Native Method)

Well I guess that's because of the input tensor size (shape) I have to reshape the image I suppose.