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説明
Firstly, thanks for a great project, it's fun to work with!
I have an org.bytedeco.opencv.opencv_core.Mat object that I have prepared into the correct shape, format & scaling to pass to a tensorflow lite model. I'm having trouble populating the model input tensor correctly.
Mat image = ...; // 300 x 300 x 3 channels, depth=32
FloatPointer input = interpreter.typed_input_tensor_float(0);
I've got it working by iterating over the rows and cols of the image and copying the image pixels one by one into a float[] and calling input.put() on the float array. However, that seems inefficient, and I was hoping that I could do something like input.put(image), but that isn't working, or at least the model outputs aren't correct.
Could you give me any pointers (!) on how to efficiently copy/pass the Mat as a tensorflow input?
Thanks in advance.