public static void main(String[] args) throws Exception {
if (ToolRunner.run(new FeatureMatching(), args) == 1) {
System.out.println(".......Feature Match failure........");
System.exit(1);
}
System.exit(0);
}
static {
System.load(
(new File("/home/gathors/proj/v-opencv/FeatureMatching/libs/libopencv_java2412.so"))
.getAbsolutePath());
System.load(
(new File("/home/gathors/proj/v-opencv/FeatureMatching/libs/libopencv_highgui.so"))
.getAbsolutePath());
}
public void setup(Context context) {
try {
// System.setProperty("java.library.path", "/home/gathors/proj/libs");
// System.loadLibrary(Core.NATIVE_xxx);
// System.loacLibrary("/home/gathors/proj/libs/opencv-300.jar");
} catch (UnsatisfiedLinkError e) {
System.err.println("\nNATIVE LIBRARY failed to load...");
System.err.println("ERROR:" + e);
System.err.println("NATIVE_LIBRARY_NAME:" + Core.NATIVE_LIBRARY_NAME);
System.err.println("#" + System.getProperty("java.library.path"));
System.exit(1);
}
}
public static void main(String[] args) {
System.out.println("Hello, OpenCV");
// Load the native library.
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
new DetectFaceDemo().run();
}
@Before
public void setup() {
System.load("C:/Users/Grant Dawson/Documents/opencv/build/java/x64/opencv_java246.dll");
this.mockMvc = webAppContextSetup(this.wac).build();
Stripe.apiKey = "sk_test_cAefVlVMmXfcSKMZOKLhielX";
}
public void run() {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
MyCvWindow cvWindow = new MyCvWindow("sample", 512, 512);
String filepath = getClass().getResource("lena.jpg").getPath();
Mat image;
while (true) {
image = Highgui.imread(filepath);
cvWindow.showImage(image);
Point point = cvWindow.touchedPoint();
if (point != null) {
System.out.println("Point(" + point.x + "," + point.y + ")");
}
int key = cvWindow.waitKey(40);
if (key == MyCvWindow.KEY_ESC) {
System.exit(0);
}
}
}
/** Constructor: creates 2 mat objects: 1 for the raw image; other for the processed image */
public CaptureImage() {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
capturedFrame = new Mat();
processedFrame = new Mat();
board = new byte[32];
for (int i = 0; i < board.length; i++) {
board[i] = 0;
}
captured = new byte[12];
}
/** Capture images and run color processing through here */
public void capture() {
VideoCapture camera = new VideoCapture();
camera.set(12, -20); // change contrast, might not be necessary
// CaptureImage image = new CaptureImage();
camera.open(0); // Useless
if (!camera.isOpened()) {
System.out.println("Camera Error");
// Determine whether to use System.exit(0) or return
} else {
System.out.println("Camera OK");
}
boolean success = camera.read(capturedFrame);
if (success) {
try {
processWithContours(capturedFrame, processedFrame);
} catch (Exception e) {
System.out.println(e);
}
// image.processFrame(capturedFrame, processedFrame);
// processedFrame should be CV_8UC3
// image.findCaptured(processedFrame);
// image.determineKings(capturedFrame);
int bufferSize = processedFrame.channels() * processedFrame.cols() * processedFrame.rows();
byte[] b = new byte[bufferSize];
processedFrame.get(0, 0, b); // get all the pixels
// This might need to be BufferedImage.TYPE_INT_ARGB
img =
new BufferedImage(
processedFrame.cols(), processedFrame.rows(), BufferedImage.TYPE_INT_RGB);
int width = (int) camera.get(Highgui.CV_CAP_PROP_FRAME_WIDTH);
int height = (int) camera.get(Highgui.CV_CAP_PROP_FRAME_HEIGHT);
// img.getRaster().setDataElements(0, 0, width, height, b);
byte[] a = new byte[bufferSize];
System.arraycopy(b, 0, a, 0, bufferSize);
Highgui.imwrite("camera.jpg", processedFrame);
System.out.println("Success");
} else System.out.println("Unable to capture image");
camera.release();
}
public void templateMatching() {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
int match_method = 5;
int max_Trackbar = 5;
Mat data = Highgui.imread("images/training_data/1" + "/data (" + 1 + ").jpg");
Mat temp = Highgui.imread("images/template.jpg");
Mat img = data.clone();
int result_cols = img.cols() - temp.cols() + 1;
int result_rows = img.rows() - temp.rows() + 1;
Mat result = new Mat(result_rows, result_cols, CvType.CV_32FC1);
Imgproc.matchTemplate(img, temp, result, match_method);
Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
double minVal;
double maxVal;
Point minLoc;
Point maxLoc;
Point matchLoc;
// minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() );
Core.MinMaxLocResult res = Core.minMaxLoc(result);
if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
matchLoc = res.minLoc;
} else {
matchLoc = res.maxLoc;
}
// / Show me what you got
Core.rectangle(
img,
matchLoc,
new Point(matchLoc.x + temp.cols(), matchLoc.y + temp.rows()),
new Scalar(0, 255, 0));
// Save the visualized detection.
Highgui.imwrite("images/samp.jpg", img);
}
// Transform the json-type feature to mat-type
public static Mat json2mat(String json) {
JsonParser parser = new JsonParser();
JsonElement parseTree = parser.parse(json);
// Verify the input is JSON type
if (!parseTree.isJsonObject()) {
System.out.println("The input is not a JSON type...\nExiting...");
System.exit(1);
}
JsonObject jobj = parser.parse(json).getAsJsonObject();
if (jobj == null || !jobj.isJsonObject() || jobj.isJsonNull()) {
return null;
}
// Detect broken/null features
JsonElement r = jobj.get("rows");
if (r == null) {
return null;
}
int rows = jobj.get("rows").getAsInt();
int cols = jobj.get("cols").getAsInt();
int type = jobj.get("type").getAsInt();
String data = jobj.get("data").getAsString();
String[] pixs = data.split(",");
Mat descriptor = new Mat(rows, cols, type);
for (String pix : pixs) {
String[] tmp = pix.split(" ");
int r_pos = Integer.valueOf(tmp[0]);
int c_pos = Integer.valueOf(tmp[1]);
double rgb = Double.valueOf(tmp[2]);
descriptor.put(r_pos, c_pos, rgb);
}
return descriptor;
}
//
// native stuff
//
static {
System.loadLibrary("opencv_java");
}
public int run(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
if (args.length != 2) {
System.out.println("Usage: FeatureMatching ID <inputName.jpeg/inputName.jpg>");
System.exit(1);
}
SimpleDateFormat sdf = new SimpleDateFormat("", Locale.US);
sdf.applyPattern("yyyy-MM-dd_HH-mm-ss");
String time = sdf.format(new Date());
Job job = Job.getInstance();
ID = "/" + args[0];
String filename = args[1];
filename = filename.toLowerCase();
System.out.println("current filename:" + filename);
// Detect illegal username (if the username dir doesn't exist)
File userPath = new File(LOCAL_USER_DIR + ID);
if (!userPath.exists()) {
System.out.println("Unauthorized username!!!\nExiting......");
System.exit(1);
}
// Preprocess the input image.jpg from local dir: /local.../user/ID/input/image.jpg
// Save the features to local dir: hdfs://.../user/ID/input/image.jpg
extractQueryFeatures2HDFS(filename, job);
// Add the feature file to the hdfs cache
String featureFileName = filename.substring(0, filename.lastIndexOf(".")) + ".json";
// job.addCacheFile(new Path(HDFS_HOME + USER + ID + INPUT + "/" +
// featureFileName).toUri());
job.getConfiguration()
.set("featureFilePath", HDFS_HOME + USER + ID + INPUT + "/" + featureFileName);
// Check the file type. Only support jpeg/jpg type images
String type = filename.substring(args[1].lastIndexOf("."));
if (!(type.equals(".jpg") || type.equals(".jpeg"))) {
System.out.println("Image type not supported!!!\nExiting");
System.exit(1);
}
// Input: hdfs://.../features/
// The feature dir is a location of all features extracted from the database
String inputPathStr = HDFS_HOME + FEATURES;
// Output: hdfs://.../user/ID/output/
String outputPathStr = HDFS_HOME + USER + ID + OUTPUT + "/" + time;
job.setInputFormatClass(KeyValueTextInputFormat.class);
// job.setOutputFormatClass(TextOutputFormat.class);
// Get the lists of all feature files: /.../features/data/part-*
FileSystem fs = FileSystem.get(job.getConfiguration());
FileStatus[] statuses = fs.listStatus(new Path(inputPathStr));
StringBuffer sb = new StringBuffer();
for (FileStatus fileStatus : statuses) {
sb.append(fileStatus.getPath() + ",");
}
sb.deleteCharAt(sb.lastIndexOf(","));
job.setJarByClass(FeatureMatching.class);
job.setMapperClass(FeatureMatchMapper.class);
job.setReducerClass(FeatureMatchReducer.class);
// only need one reducer to collect the result
job.setNumReduceTasks(1);
job.setMapOutputKeyClass(IntWritable.class);
job.setMapOutputValueClass(Text.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(DoubleWritable.class);
// Input a directory, so need the recursive input
FileInputFormat.setInputDirRecursive(job, true);
// Set the PathFilter, to omit _SUCCESS files
// (This is not working correctly, as the PathFilter class is an interface rather than a class.
// But the 2nd arg asks me to extend the PathFilter)
// FileInputFormat.setInputPathFilter(job, MyPathFilter.class);
//
// FileInputFormat.setInputPaths(job, new Path(inputPathStr));
FileInputFormat.setInputPaths(job, sb.toString());
FileOutputFormat.setOutputPath(job, new Path(outputPathStr));
boolean success = job.waitForCompletion(true);
return success ? 0 : 1;
}
public static void main(String[] args) {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Mat mat = Mat.eye( 3, 3, CvType.CV_8UC1 );
// System.out.println( "mat = " + mat.dump() );
Sample n = new Sample();
// n.templateMatching();
// put text in image
// Mat data= Highgui.imread("images/erosion.jpg");
// Core.putText(data, "Sample", new Point(50,80), Core.FONT_HERSHEY_SIMPLEX, 1, new
// Scalar(0,0,0),2);
//
// Highgui.imwrite("images/erosion2.jpg", data);
// getting dct of an image
String path = "images/croppedfeature/go (20).jpg";
path = "images/wordseg/img1.png";
Mat image = Highgui.imread(path, Highgui.IMREAD_GRAYSCALE);
ArrayList<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Imgproc.threshold(image, image, 0, 255, Imgproc.THRESH_OTSU);
Imgproc.threshold(image, image, 220, 128, Imgproc.THRESH_BINARY_INV);
Mat newImg = new Mat(45, 100, image.type());
newImg.setTo(new Scalar(0));
n.copyMat(image, newImg);
int vgap = 25;
int hgap = 45 / 3;
Moments m = Imgproc.moments(image, false);
Mat hu = new Mat();
Imgproc.HuMoments(m, hu);
System.out.println(hu.dump());
// //divide the mat into 12 parts then get the features of each part
// int count=1;
// for(int j=0; j<45; j+=hgap){
// for(int i=0;i<100;i+=vgap){
// Mat result = newImg.submat(j, j+hgap, i, i+vgap);
//
//
// Moments m= Imgproc.moments(result, false);
// double m01= m.get_m01();
// double m00= m.get_m00();
// double m10 = m.get_m10();
// int x= m00!=0? (int)(m10/m00):0;
// int y= m00!=0? (int)(m01/m00):0;
// Mat hu= new Mat();
// Imgproc.HuMoments(m, hu);
// System.out.println(hu.dump());
// System.out.println(count+" :"+x+" and "+y);
// Imgproc.threshold(result, result, 0,254, Imgproc.THRESH_BINARY_INV);
// Highgui.imwrite("images/submat/"+count+".jpg", result);
// count++;
//
// }
// }
//
// for(int i=vgap;i<100;i+=vgap){
// Point pt1= new Point(i, 0);
// Point pt2= new Point(i, 99);
// Core.line(newImg, pt1, pt2, new Scalar(0,0,0));
// }
// for(int i=hgap;i<45;i+=hgap){
// Point pt1= new Point(0, i);
// Point pt2= new Point(99, i);
// Core.line(newImg, pt1, pt2, new Scalar(0,0,0));
// }
// Highgui.imwrite("images/submat/copyto.jpg", newImg);
}