本文整理匯總了Java中java.nio.FloatBuffer.array方法的典型用法代碼示例。如果您正苦於以下問題：Java FloatBuffer.array方法的具體用法？Java FloatBuffer.array怎麽用？Java FloatBuffer.array使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類java.nio.FloatBuffer的用法示例。
在下文中一共展示了FloatBuffer.array方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: toFloatArray
import java.nio.FloatBuffer; //導入方法依賴的package包/類
static
public float[] toFloatArray(Tensor tensor){
FloatBuffer floatBuffer = FloatBuffer.allocate(tensor.numElements());
tensor.writeTo(floatBuffer);
return floatBuffer.array();
}
示例2: bufferToFloatArray
import java.nio.FloatBuffer; //導入方法依賴的package包/類
private static float[] bufferToFloatArray(ByteBuffer buffer) {
buffer.order(ByteOrder.nativeOrder());
FloatBuffer floats = buffer.asFloatBuffer();
if (floats.hasArray()) {
return floats.array();
} else {
float[] resultArray = new float[floats.capacity()];
floats.get(resultArray);
return resultArray;
}
}
示例3: executeDvsFrameGraph
import java.nio.FloatBuffer; //導入方法依賴的package包/類
/**
* Executes the stored Graph of the CNN.
*
* //https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/op/Operands.java
* // https://github.com/tensorflow/tensorflow/issues/7149
* https://stackoverflow.com/questions/44774234/why-tensorflow-uses-channel-last-ordering-instead-of-row-major
*
* @param pixbuf the pixel buffer holding the frame, as collected from
* DVSFramer in DVSFrame.
*
* @param width width of image
* @param height height of image
* @return activations of output
*/
private float[] executeDvsFrameGraph(FloatBuffer pixbuf, int width, int height) {
// final float mean = processor.getImageMean(), scale = processor.getImageScale();
final int numChannels = processor.isMakeRGBFrames() ? 3 : 1;
inputLayer = new InputLayer(width, height, numChannels); // TODO hack since we don't know the input size yet until network runs
// TODO super hack brute force to flip image vertically because tobi cannot see how to flip an image in TensorFlow.
// Also, make RGB frame from gray dvs image by cloning the gray value to each channel in WHC order
final float[] origarray = pixbuf.array();
FloatBuffer flipped = FloatBuffer.allocate(pixbuf.limit() * numChannels);
final float[] flippedarray = flipped.array();
// prepare rgb scaling factors to make RGB channels from grayscale. each channel has different weighting
float[] rgb = null;
if (processor.isMakeRGBFrames()) {
rgb = new float[]{1, 1, 1};
} else {
rgb = new float[]{1};
}
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
final int origIdx = x + width * y;
for (int c = 0; c < numChannels; c++) {
final int newIdx = c + numChannels * (x + (width * (height - y - 1)));
flippedarray[newIdx] = ((origarray[origIdx] * rgb[c]));
}
}
}
flipped = FloatBuffer.wrap(flippedarray);
try (Tensor<Float> imageTensor = Tensor.create(new long[]{1, height, width, numChannels}, flipped);) { // use NHWC order according to last post above
// int numElements = imageTensor.numElements();
// long[] shape = imageTensor.shape();
float[] output = TensorFlow.executeGraph(executionGraph, imageTensor, processor.getInputLayerName(), processor.getOutputLayerName());
outputLayer = new OutputLayer(output);
getSupport().firePropertyChange(EVENT_MADE_DECISION, null, this);
return output;
} catch (IllegalArgumentException ex) {
StringBuilder msg = new StringBuilder("<html>Caught exception <p>" + ex.toString() + "<p>Did you set inputLayerName and outputLayerName in the property group <i>2. Analysis</i>?</p>");
msg.append("<p>The IO layer names could be as follows (the string inside the single quotes):</p> <ul> ");
for (String s : ioLayers) {
msg.append("<li>" + (s.replaceAll("<", "").replaceAll(">", "")) + "</li>");
}
msg.append("</ul>");
JOptionPane.showMessageDialog(processor.getChip().getAeViewer(), msg.toString(),
"Error computing network", JOptionPane.WARNING_MESSAGE);
throw new IllegalArgumentException(ex.getCause());
}
}