Code:
import java.util.ArrayList;
import java.util.List;
import edu.wpi.first.wpilibj.networktables.*;
import edu.wpi.first.wpilibj.tables.*;
import edu.wpi.cscore.*;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfPoint;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.imgproc.Imgproc;
public class Main {
public static void main(String[] args) {
// Loads our OpenCV library. This MUST be included
System.loadLibrary("opencv_java310");
// Connect NetworkTables, and get access to the publishing table
NetworkTable.setClientMode();
// Set your team number here
NetworkTable.setTeam(3602);
NetworkTable.initialize();
// This is the network port you want to stream the raw received image to
// By rules, this has to be between 1180 and 1190, so 1185 is a good choice
int streamPort = 1183;
// This stores our reference to our mjpeg server for streaming the input image
MjpegServer inputStream = new MjpegServer("MJPEG Server", streamPort);
// Selecting a Camera
// Uncomment one of the 2 following camera options
// The top one receives a stream from another device, and performs operations based on that
// On windows, this one must be used since USB is not supported
// The bottom one opens a USB camera, and performs operations on that, along with streaming
// the input image so other devices can see it.
// HTTP Camera
// This is our camera name from the robot. this can be set in your robot code with the following command
// CameraServer.getInstance().startAutomaticCapture("YourCameraNameHere");
// "USB Camera 0" is the default if no string is specified
String cameraName = "Switcher";
HttpCamera camera = setHttpCamera(cameraName, inputStream);
// It is possible for the camera to be null. If it is, that means no camera could
// be found using NetworkTables to connect to. Create an HttpCamera by giving a specified stream
// Note if this happens, no restream will be created
if (camera == null) {
camera = new HttpCamera("CoprocessorCamera", "YourURLHere");
inputStream.setSource(camera);
}
/***********************************************/
// USB Camera
/*
// This gets the image from a USB camera
// Usually this will be on device 0, but there are other overloads
// that can be used
UsbCamera camera = setUsbCamera(0, inputStream);
// Set the resolution for our camera, since this is over USB
camera.setResolution(640,480);
*/
// This creates a CvSink for us to use. This grabs images from our selected camera,
// and will allow us to use those images in opencv
CvSink imageSink = new CvSink("CV Image Grabber");
imageSink.setSource(camera);
// This creates a CvSource to use. This will take in a Mat image that has had OpenCV operations
// operations
CvSource imageSource = new CvSource("CV Image Source", VideoMode.PixelFormat.kMJPEG, 640, 480, 30);
MjpegServer cvStream = new MjpegServer("CV Image Stream", 1186);
cvStream.setSource(imageSource);
// All Mats and Lists should be stored outside the loop to avoid allocations
// as they are expensive to create
Mat inputImage = new Mat();
Mat hsv = new Mat();
// Infinitely process image
while (true) {
// Grab a frame. If it has a frame time of 0, there was an error.
// Just skip and continue
long frameTime = imageSink.grabFrame(inputImage);
if (frameTime == 0) continue;
// Below is where you would do your OpenCV operations on the provided image
// The sample below just changes color source to HSV
process(inputImage);
// Here is where you would write a processed image that you want to restreams
// This will most likely be a marked up image of what the camera sees
// For now, we are just going to stream the HSV image
}
}
private static HttpCamera setHttpCamera(String cameraName, MjpegServer server) {
// Start by grabbing the camera from NetworkTables
NetworkTable publishingTable = NetworkTable.getTable("CameraPublisher");
// Wait for robot to connect. Allow this to be attempted indefinitely
while (true) {
try {
if (publishingTable.getSubTables().size() > 0) {
break;
}
Thread.sleep(500);
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
HttpCamera camera = null;
if (!publishingTable.containsSubTable(cameraName)) {
return null;
}
ITable cameraTable = publishingTable.getSubTable(cameraName);
String[] urls = cameraTable.getStringArray("streams", null);
if (urls == null) {
return null;
}
ArrayList<String> fixedUrls = new ArrayList<String>();
for (String url : urls) {
if (url.startsWith("mjpg")) {
fixedUrls.add(url.split(":", 2)[1]);
}
}
camera = new HttpCamera("CoprocessorCamera", fixedUrls.toArray(new String[0]));
server.setSource(camera);
return camera;
}
private static UsbCamera setUsbCamera(int cameraId, MjpegServer server) {
// This gets the image from a USB camera
// Usually this will be on device 0, but there are other overloads
// that can be used
UsbCamera camera = new UsbCamera("CoprocessorCamera", cameraId);
server.setSource(camera);
return camera;
}
private static double centerX = 0.0;
//Outputs
private static Mat rgbThresholdOutput = new Mat();
private static ArrayList<MatOfPoint> findContoursOutput = new ArrayList<MatOfPoint>();
private static ArrayList<MatOfPoint> filterContoursOutput = new ArrayList<MatOfPoint>();
private static ArrayList<MatOfPoint> convexHullsOutput = new ArrayList<MatOfPoint>();
/**
* This is the primary method that runs the entire pipeline and updates the outputs.
*/
public static void process(Mat source0) {
// Step RGB_Threshold0:
Mat rgbThresholdInput = source0;
double[] rgbThresholdRed = {213.70056497175142, 255.0};
double[] rgbThresholdGreen = {216.10169491525423, 255.0};
double[] rgbThresholdBlue = {213.7005649717514, 255.0};
rgbThreshold(rgbThresholdInput, rgbThresholdRed, rgbThresholdGreen, rgbThresholdBlue, rgbThresholdOutput);
// Step Find_Contours0:
Mat findContoursInput = rgbThresholdOutput;
boolean findContoursExternalOnly = true;
findContours(findContoursInput, findContoursExternalOnly, findContoursOutput);
// Step Filter_Contours0:
ArrayList<MatOfPoint> filterContoursContours = findContoursOutput;
double filterContoursMinArea = 50.0;
double filterContoursMinPerimeter = 30.0;
double filterContoursMinWidth = 0;
double filterContoursMaxWidth = 30.0;
double filterContoursMinHeight = 0;
double filterContoursMaxHeight = 50.0;
double[] filterContoursSolidity = {86.64103200198461, 100.0};
double filterContoursMaxVertices = 1000000;
double filterContoursMinVertices = 0;
double filterContoursMinRatio = 0.0;
double filterContoursMaxRatio = 1.0;
filterContours(filterContoursContours, filterContoursMinArea, filterContoursMinPerimeter, filterContoursMinWidth, filterContoursMaxWidth, filterContoursMinHeight, filterContoursMaxHeight, filterContoursSolidity, filterContoursMaxVertices, filterContoursMinVertices, filterContoursMinRatio, filterContoursMaxRatio, filterContoursOutput);
// Step Convex_Hulls0:
ArrayList<MatOfPoint> convexHullsContours = filterContoursOutput;
convexHulls(convexHullsContours, convexHullsOutput);
if (!convexHullsOutput.isEmpty()) {
Rect r = Imgproc.boundingRect(convexHullsOutput().get(0));
centerX = r.x + (r.width / 2);
NetworkTable.getTable("GRIP").putNumber("centerX", centerX);
}
}
/**
* This method is a generated getter for the output of a RGB_Threshold.
* @return Mat output from RGB_Threshold.
*/
public static Mat rgbThresholdOutput() {
return rgbThresholdOutput;
}
/**
* This method is a generated getter for the output of a Find_Contours.
* @return ArrayList<MatOfPoint> output from Find_Contours.
*/
public static ArrayList<MatOfPoint> findContoursOutput() {
return findContoursOutput;
}
/**
* This method is a generated getter for the output of a Filter_Contours.
* @return ArrayList<MatOfPoint> output from Filter_Contours.
*/
public static ArrayList<MatOfPoint> filterContoursOutput() {
return filterContoursOutput;
}
/**
* This method is a generated getter for the output of a Convex_Hulls.
* @return ArrayList<MatOfPoint> output from Convex_Hulls.
*/
public static ArrayList<MatOfPoint> convexHullsOutput() {
return convexHullsOutput;
}
/**
* Segment an image based on color ranges.
* @param input The image on which to perform the RGB threshold.
* @param red The min and max red.
* @param green The min and max green.
* @param blue The min and max blue.
* @param output The image in which to store the output.
*/
private static void rgbThreshold(Mat input, double[] red, double[] green, double[] blue,
Mat out) {
Imgproc.cvtColor(input, out, Imgproc.COLOR_BGR2RGB);
Core.inRange(out, new Scalar(red[0], green[0], blue[0]),
new Scalar(red[1], green[1], blue[1]), out);
}
/**
* Sets the values of pixels in a binary image to their distance to the nearest black pixel.
* @param input The image on which to perform the Distance Transform.
* @param type The Transform.
* @param maskSize the size of the mask.
* @param output The image in which to store the output.
*/
private static void findContours(Mat input, boolean externalOnly,
List<MatOfPoint> contours) {
Mat hierarchy = new Mat();
contours.clear();
int mode;
if (externalOnly) {
mode = Imgproc.RETR_EXTERNAL;
}
else {
mode = Imgproc.RETR_LIST;
}
int method = Imgproc.CHAIN_APPROX_SIMPLE;
Imgproc.findContours(input, contours, hierarchy, mode, method);
}
/**
* Filters out contours that do not meet certain criteria.
* @param inputContours is the input list of contours
* @param output is the the output list of contours
* @param minArea is the minimum area of a contour that will be kept
* @param minPerimeter is the minimum perimeter of a contour that will be kept
* @param minWidth minimum width of a contour
* @param maxWidth maximum width
* @param minHeight minimum height
* @param maxHeight maximimum height
* @param Solidity the minimum and maximum solidity of a contour
* @param minVertexCount minimum vertex Count of the contours
* @param maxVertexCount maximum vertex Count
* @param minRatio minimum ratio of width to height
* @param maxRatio maximum ratio of width to height
*/
private static void filterContours(List<MatOfPoint> inputContours, double minArea,
double minPerimeter, double minWidth, double maxWidth, double minHeight, double
maxHeight, double[] solidity, double maxVertexCount, double minVertexCount, double
minRatio, double maxRatio, List<MatOfPoint> output) {
final MatOfInt hull = new MatOfInt();
output.clear();
//operation
for (int i = 0; i < inputContours.size(); i++) {
final MatOfPoint contour = inputContours.get(i);
final Rect bb = Imgproc.boundingRect(contour);
if (bb.width < minWidth || bb.width > maxWidth) continue;
if (bb.height < minHeight || bb.height > maxHeight) continue;
final double area = Imgproc.contourArea(contour);
if (area < minArea) continue;
if (Imgproc.arcLength(new MatOfPoint2f(contour.toArray()), true) < minPerimeter) continue;
Imgproc.convexHull(contour, hull);
MatOfPoint mopHull = new MatOfPoint();
mopHull.create((int) hull.size().height, 1, CvType.CV_32SC2);
for (int j = 0; j < hull.size().height; j++) {
int index = (int)hull.get(j, 0)[0];
double[] point = new double[] { contour.get(index, 0)[0], contour.get(index, 0)[1]};
mopHull.put(j, 0, point);
}
final double solid = 100 * area / Imgproc.contourArea(mopHull);
if (solid < solidity[0] || solid > solidity[1]) continue;
if (contour.rows() < minVertexCount || contour.rows() > maxVertexCount) continue;
final double ratio = bb.width / (double)bb.height;
if (ratio < minRatio || ratio > maxRatio) continue;
output.add(contour);
}
}
/**
* Compute the convex hulls of contours.
* @param inputContours The contours on which to perform the operation.
* @param outputContours The contours where the output will be stored.
*/
private static void convexHulls(List<MatOfPoint> inputContours,
ArrayList<MatOfPoint> outputContours) {
final MatOfInt hull = new MatOfInt();
outputContours.clear();
for (int i = 0; i < inputContours.size(); i++) {
final MatOfPoint contour = inputContours.get(i);
final MatOfPoint mopHull = new MatOfPoint();
Imgproc.convexHull(contour, hull);
mopHull.create((int) hull.size().height, 1, CvType.CV_32SC2);
for (int j = 0; j < hull.size().height; j++) {
int index = (int) hull.get(j, 0)[0];
double[] point = new double[] {contour.get(index, 0)[0], contour.get(index, 0)[1]};
mopHull.put(j, 0, point);
}
outputContours.add(mopHull);
}
}
06-02-2017, 21:21
Linear Mode
