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Add kernel operation and add both kernel and morphology to code gener…
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86 changes: 86 additions & 0 deletions
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core/src/main/java/edu/wpi/grip/core/operations/opencv/NewKernelOperation.java
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package edu.wpi.grip.core.operations.opencv; | ||
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import edu.wpi.grip.core.Description; | ||
import edu.wpi.grip.core.OperationDescription; | ||
import edu.wpi.grip.core.sockets.InputSocket; | ||
import edu.wpi.grip.core.sockets.OutputSocket; | ||
import edu.wpi.grip.core.sockets.SocketHint; | ||
import edu.wpi.grip.core.sockets.SocketHints; | ||
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import com.google.inject.Inject; | ||
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import org.bytedeco.javacpp.opencv_core.Mat; | ||
import org.bytedeco.javacpp.opencv_core.Size; | ||
import org.bytedeco.javacpp.opencv_imgproc; | ||
import org.python.google.common.collect.ImmutableList; | ||
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import java.util.List; | ||
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@Description(name = "New Kernel", | ||
summary = "Create a kernel of custom size", | ||
category = OperationDescription.Category.OPENCV, | ||
iconName = "kernel") | ||
public class NewKernelOperation implements CVOperation { | ||
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private final SocketHint<KernelEnum> typeHint = SocketHints.createEnumSocketHint("kernelType", KernelEnum.MORPH_RECT); | ||
private final SocketHint<Number> widthHint = SocketHints.Inputs | ||
.createNumberSpinnerSocketHint("width", 1, 1, Integer.MAX_VALUE); | ||
private final SocketHint<Number> heightHint = SocketHints.Inputs | ||
.createNumberSpinnerSocketHint("height", 1, 1, Integer.MAX_VALUE); | ||
private final SocketHint<Mat> outputHint = SocketHints.Outputs.createMatSocketHint("kernel"); | ||
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private final InputSocket<Number> widthSocket; | ||
private final InputSocket<Number> heightSocket; | ||
private final InputSocket<KernelEnum> typeSocket; | ||
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private final OutputSocket<Mat> outputSocket; | ||
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@Inject | ||
@SuppressWarnings("JavadocMethod") | ||
public NewKernelOperation(InputSocket.Factory inputSocketFactory, | ||
OutputSocket.Factory outputSocketFactory) { | ||
this.typeSocket = inputSocketFactory.create(typeHint); | ||
this.widthSocket = inputSocketFactory.create(widthHint); | ||
this.heightSocket = inputSocketFactory.create(heightHint); | ||
this.outputSocket = outputSocketFactory.create(outputHint); | ||
} | ||
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@Override | ||
public List<InputSocket> getInputSockets() { | ||
return ImmutableList.of( | ||
typeSocket, | ||
widthSocket, | ||
heightSocket | ||
); | ||
} | ||
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@Override | ||
public List<OutputSocket> getOutputSockets() { | ||
return ImmutableList.of( | ||
outputSocket | ||
); | ||
} | ||
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@Override | ||
public void perform() { | ||
final int widthValue = widthSocket.getValue().get().intValue(); | ||
final int heightValue = heightSocket.getValue().get().intValue(); | ||
final int kernelType = typeSocket.getValue().get().value; | ||
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outputSocket.setValue(opencv_imgproc.getStructuringElement(kernelType, new Size(widthValue, heightValue))); | ||
} | ||
public enum KernelEnum { | ||
MORPH_RECT(0), | ||
MORPH_CROSS(1), | ||
MORPH_ELLIPSE(2); | ||
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public final int value; | ||
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KernelEnum(int value) { | ||
this.value = value; | ||
} | ||
} | ||
} | ||
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ui/src/main/resources/edu/wpi/grip/ui/codegeneration/cpp/operations/CV_morphologyEx.vm
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/** | ||
* Performs advanced morphology functions. | ||
* @param src the Image to morph. | ||
* @param op the morph operation | ||
* @param kernel the kernel for morphing. | ||
* @param anchor the center of the kernel. | ||
* @param iterations the number of times to perform the morph. | ||
* @param borderType pixel extrapolation method. | ||
* @param borderValue value to be used for a constant border. | ||
* @param dst Output Image. | ||
*/ | ||
void $className::#func($step ["src", "op", "kernel", "anchor", "iterations", "borderType", "borderValue", "dst"]) { | ||
cv::morphologyEx(src, dst, op, kernel, anchor, (int)iterations, borderType, borderValue); | ||
} |
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ui/src/main/resources/edu/wpi/grip/ui/codegeneration/cpp/operations/New_Kernel.vm
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/** | ||
* Creates kernel of given shape and size | ||
* @param shape the kernels MorphShape. | ||
* @param size the size of the kernel. | ||
*/ | ||
void $className::#func($step ["shape", "size"]) { | ||
return cv::getStructuringElement(shape, size)); | ||
} |
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ui/src/main/resources/edu/wpi/grip/ui/codegeneration/java/operations/CV_morphologyEx.vm
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/** | ||
* Performs advanced morphology functions. | ||
* @param src the Image to morph. | ||
* @param op the operation to perform. | ||
* @param kernel the kernel for morphing. | ||
* @param anchor the center of the kernel. | ||
* @param iterations the number of times to perform the morph. | ||
* @param borderType pixel extrapolation method. | ||
* @param borderValue value to be used for a constant border. | ||
* @param dst Output Image. | ||
*/ | ||
private void $tMeth.name($step.name())(Mat src, MorphType op, Mat kernel, Point anchor, double iterations, | ||
int borderType, Scalar borderValue, Mat dst) { | ||
if (kernel == null) { | ||
kernel = new Mat(); | ||
} | ||
if (anchor == null) { | ||
anchor = new Point(-1,-1); | ||
} | ||
if (borderValue == null) { | ||
borderValue = new Scalar(-1); | ||
} | ||
Imgproc.morphologyEx(src, dst, op, kernel, anchor, (int)iterations, borderType, borderValue); | ||
} |
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ui/src/main/resources/edu/wpi/grip/ui/codegeneration/java/operations/New_Kernel.vm
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/** | ||
* Creates a kernel of given shape and size. | ||
* @param shape the kernels MorphShape. | ||
* @param size the size of the kernel. | ||
*/ | ||
private void $tMeth.name($step.name())(Mat shape, Size size) { | ||
Imgproc.getStructuringElement(shape, size); | ||
} |
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ui/src/main/resources/edu/wpi/grip/ui/codegeneration/python/operations/CV_morphologyEx.vm
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@staticmethod | ||
def $tMeth.name($step.name())(src, op, kernel, anchor, iterations, border_type, border_value): | ||
"""Expands area of lower value in an image. | ||
Args: | ||
src: A numpy.ndarray. | ||
kernel: The kernel for erosion. A numpy.ndarray. | ||
iterations: the number of times to erode. | ||
border_type: Opencv enum that represents a border type. | ||
border_value: value to be used for a constant border. | ||
Returns: | ||
A numpy.ndarray after erosion. | ||
""" | ||
return cv2.morphologyEx(src, op, kernel, anchor, iterations = (int) (iterations +0.5), | ||
borderType = border_type, borderValue = border_value) |
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ui/src/main/resources/edu/wpi/grip/ui/codegeneration/python/operations/New_Kernel.vm
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@staticmethod | ||
def $tMeth.name($step.name())(shape, width, height): | ||
"""Creates kernel of given shape and size. | ||
Args: | ||
shape: The kernel MorphShape | ||
size: Size of kernel as a tuple | ||
Returns: | ||
A numpy.ndarray representing the kernel. | ||
""" | ||
return cv2.getStructuringElement(shape, (int(width), int(height))) |