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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.
The text was updated successfully, but these errors were encountered:
So something like this? input.put((float[]) image.createIndexer(false).array());
I was wondering whether it would be better to pass a pointer to the Mat (and avoid loading the floats into java memory at all), but that didn't seem to work.
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.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 callinginput.put()
on the float array. However, that seems inefficient, and I was hoping that I could do something likeinput.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.
The text was updated successfully, but these errors were encountered: