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feat: 切换后端至PaddleOCR-NCNN，切换工程为CMake

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1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试
2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程
3.重整权利声明文件，重整代码工程，确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
This commit is contained in:
wangzhengyang
2022-05-10 09:54:44 +08:00
parent ecdd171c6f
commit 718c41634f
10018 changed files with 3593797 additions and 186748 deletions
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173
3rdparty/opencv-4.5.4/samples/java/tutorial_code/Histograms_Matching/back_projection/CalcBackProjectDemo1.java vendored Normal file
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import java.awt.BorderLayout;
import java.awt.Container;
import java.awt.Image;
import java.util.Arrays;
import java.util.List;
import javax.swing.BoxLayout;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JSlider;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class CalcBackProject1 {
private Mat hue;
private Mat histImg = new Mat();
private JFrame frame;
private JLabel imgLabel;
private JLabel backprojLabel;
private JLabel histImgLabel;
private static final int MAX_SLIDER = 180;
private int bins = 25;
public CalcBackProject1(String[] args) {
//! [Read the image]
if (args.length != 1) {
System.err.println("You must supply one argument that corresponds to the path to the image.");
System.exit(0);
}
Mat src = Imgcodecs.imread(args[0]);
if (src.empty()) {
System.err.println("Empty image: " + args[0]);
System.exit(0);
}
//! [Read the image]
//! [Transform it to HSV]
Mat hsv = new Mat();
Imgproc.cvtColor(src, hsv, Imgproc.COLOR_BGR2HSV);
//! [Transform it to HSV]
//! [Use only the Hue value]
hue = new Mat(hsv.size(), hsv.depth());
Core.mixChannels(Arrays.asList(hsv), Arrays.asList(hue), new MatOfInt(0, 0));
//! [Use only the Hue value]
// Create and set up the window.
frame = new JFrame("Back Projection 1 demo");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
// Set up the content pane.
Image img = HighGui.toBufferedImage(src);
addComponentsToPane(frame.getContentPane(), img);
//! [Show the image]
// Use the content pane's default BorderLayout. No need for
// setLayout(new BorderLayout());
// Display the window.
frame.pack();
frame.setVisible(true);
//! [Show the image]
}
private void addComponentsToPane(Container pane, Image img) {
if (!(pane.getLayout() instanceof BorderLayout)) {
pane.add(new JLabel("Container doesn't use BorderLayout!"));
return;
}
//! [Create Trackbar to enter the number of bins]
JPanel sliderPanel = new JPanel();
sliderPanel.setLayout(new BoxLayout(sliderPanel, BoxLayout.PAGE_AXIS));
sliderPanel.add(new JLabel("* Hue bins: "));
JSlider slider = new JSlider(0, MAX_SLIDER, bins);
slider.setMajorTickSpacing(25);
slider.setMinorTickSpacing(5);
slider.setPaintTicks(true);
slider.setPaintLabels(true);
slider.addChangeListener(new ChangeListener() {
@Override
public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource();
bins = source.getValue();
update();
}
});
sliderPanel.add(slider);
pane.add(sliderPanel, BorderLayout.PAGE_START);
//! [Create Trackbar to enter the number of bins]
JPanel imgPanel = new JPanel();
imgLabel = new JLabel(new ImageIcon(img));
imgPanel.add(imgLabel);
backprojLabel = new JLabel();
imgPanel.add(backprojLabel);
histImgLabel = new JLabel();
imgPanel.add(histImgLabel);
pane.add(imgPanel, BorderLayout.CENTER);
}
private void update() {
//! [initialize]
int histSize = Math.max(bins, 2);
float[] hueRange = {0, 180};
//! [initialize]
//! [Get the Histogram and normalize it]
Mat hist = new Mat();
List<Mat> hueList = Arrays.asList(hue);
Imgproc.calcHist(hueList, new MatOfInt(0), new Mat(), hist, new MatOfInt(histSize), new MatOfFloat(hueRange), false);
Core.normalize(hist, hist, 0, 255, Core.NORM_MINMAX);
//! [Get the Histogram and normalize it]
//! [Get Backprojection]
Mat backproj = new Mat();
Imgproc.calcBackProject(hueList, new MatOfInt(0), hist, backproj, new MatOfFloat(hueRange), 1);
//! [Get Backprojection]
//! [Draw the backproj]
Image backprojImg = HighGui.toBufferedImage(backproj);
backprojLabel.setIcon(new ImageIcon(backprojImg));
//! [Draw the backproj]
//! [Draw the histogram]
int w = 400, h = 400;
int binW = (int) Math.round((double) w / histSize);
histImg = Mat.zeros(h, w, CvType.CV_8UC3);
float[] histData = new float[(int) (hist.total() * hist.channels())];
hist.get(0, 0, histData);
for (int i = 0; i < bins; i++) {
Imgproc.rectangle(histImg, new Point(i * binW, h),
new Point((i + 1) * binW, h - Math.round(histData[i] * h / 255.0)), new Scalar(0, 0, 255), Imgproc.FILLED);
}
Image histImage = HighGui.toBufferedImage(histImg);
histImgLabel.setIcon(new ImageIcon(histImage));
//! [Draw the histogram]
frame.repaint();
frame.pack();
}
}
public class CalcBackProjectDemo1 {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Schedule a job for the event dispatch thread:
// creating and showing this application's GUI.
javax.swing.SwingUtilities.invokeLater(new Runnable() {
@Override
public void run() {
new CalcBackProject1(args);
}
});
}
}

189
3rdparty/opencv-4.5.4/samples/java/tutorial_code/Histograms_Matching/back_projection/CalcBackProjectDemo2.java vendored Normal file
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import java.awt.BorderLayout;
import java.awt.Container;
import java.awt.Image;
import java.awt.event.MouseAdapter;
import java.awt.event.MouseEvent;
import java.util.Arrays;
import java.util.List;
import javax.swing.BoxLayout;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JSlider;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.Point;
import org.opencv.core.Range;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class CalcBackProject2 {
private Mat src;
private Mat hsv = new Mat();
private Mat mask = new Mat();
private JFrame frame;
private JLabel imgLabel;
private JLabel backprojLabel;
private JLabel maskImgLabel;
private static final int MAX_SLIDER = 255;
private int low = 20;
private int up = 20;
public CalcBackProject2(String[] args) {
/// Read the image
if (args.length != 1) {
System.err.println("You must supply one argument that corresponds to the path to the image.");
System.exit(0);
}
src = Imgcodecs.imread(args[0]);
if (src.empty()) {
System.err.println("Empty image: " + args[0]);
System.exit(0);
}
/// Transform it to HSV
Imgproc.cvtColor(src, hsv, Imgproc.COLOR_BGR2HSV);
// Create and set up the window.
frame = new JFrame("Back Projection 2 demo");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
// Set up the content pane.
Image img = HighGui.toBufferedImage(src);
addComponentsToPane(frame.getContentPane(), img);
// Use the content pane's default BorderLayout. No need for
// setLayout(new BorderLayout());
// Display the window.
frame.pack();
frame.setVisible(true);
}
private void addComponentsToPane(Container pane, Image img) {
if (!(pane.getLayout() instanceof BorderLayout)) {
pane.add(new JLabel("Container doesn't use BorderLayout!"));
return;
}
/// Set Trackbars for floodfill thresholds
JPanel sliderPanel = new JPanel();
sliderPanel.setLayout(new BoxLayout(sliderPanel, BoxLayout.PAGE_AXIS));
sliderPanel.add(new JLabel("Low thresh"));
JSlider slider = new JSlider(0, MAX_SLIDER, low);
slider.setMajorTickSpacing(20);
slider.setMinorTickSpacing(10);
slider.setPaintTicks(true);
slider.setPaintLabels(true);
slider.addChangeListener(new ChangeListener() {
@Override
public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource();
low = source.getValue();
}
});
sliderPanel.add(slider);
pane.add(sliderPanel, BorderLayout.PAGE_START);
sliderPanel.add(new JLabel("High thresh"));
slider = new JSlider(0, MAX_SLIDER, up);
slider.setMajorTickSpacing(20);
slider.setMinorTickSpacing(10);
slider.setPaintTicks(true);
slider.setPaintLabels(true);
slider.addChangeListener(new ChangeListener() {
@Override
public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource();
up = source.getValue();
}
});
sliderPanel.add(slider);
pane.add(sliderPanel, BorderLayout.PAGE_START);
JPanel imgPanel = new JPanel();
imgLabel = new JLabel(new ImageIcon(img));
/// Set a Mouse Callback
imgLabel.addMouseListener(new MouseAdapter() {
@Override
public void mousePressed(MouseEvent e) {
update(e.getX(), e.getY());
}
});
imgPanel.add(imgLabel);
maskImgLabel = new JLabel();
imgPanel.add(maskImgLabel);
backprojLabel = new JLabel();
imgPanel.add(backprojLabel);
pane.add(imgPanel, BorderLayout.CENTER);
}
private void update(int x, int y) {
// Fill and get the mask
Point seed = new Point(x, y);
int newMaskVal = 255;
Scalar newVal = new Scalar(120, 120, 120);
int connectivity = 8;
int flags = connectivity + (newMaskVal << 8) + Imgproc.FLOODFILL_FIXED_RANGE + Imgproc.FLOODFILL_MASK_ONLY;
Mat mask2 = Mat.zeros(src.rows() + 2, src.cols() + 2, CvType.CV_8U);
Imgproc.floodFill(src, mask2, seed, newVal, new Rect(), new Scalar(low, low, low), new Scalar(up, up, up), flags);
mask = mask2.submat(new Range(1, mask2.rows() - 1), new Range(1, mask2.cols() - 1));
Image maskImg = HighGui.toBufferedImage(mask);
maskImgLabel.setIcon(new ImageIcon(maskImg));
int hBins = 30, sBins = 32;
int[] histSize = { hBins, sBins };
float[] ranges = { 0, 180, 0, 256 };
int[] channels = { 0, 1 };
/// Get the Histogram and normalize it
Mat hist = new Mat();
List<Mat> hsvList = Arrays.asList(hsv);
Imgproc.calcHist(hsvList, new MatOfInt(channels), mask, hist, new MatOfInt(histSize), new MatOfFloat(ranges), false );
Core.normalize(hist, hist, 0, 255, Core.NORM_MINMAX);
/// Get Backprojection
Mat backproj = new Mat();
Imgproc.calcBackProject(hsvList, new MatOfInt(channels), hist, backproj, new MatOfFloat(ranges), 1);
Image backprojImg = HighGui.toBufferedImage(backproj);
backprojLabel.setIcon(new ImageIcon(backprojImg));
frame.repaint();
frame.pack();
}
}
public class CalcBackProjectDemo2 {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Schedule a job for the event dispatch thread:
// creating and showing this application's GUI.
javax.swing.SwingUtilities.invokeLater(new Runnable() {
@Override
public void run() {
new CalcBackProject2(args);
}
});
}
}

99
3rdparty/opencv-4.5.4/samples/java/tutorial_code/Histograms_Matching/histogram_calculation/CalcHistDemo.java vendored Normal file
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import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class CalcHist {
public void run(String[] args) {
//! [Load image]
String filename = args.length > 0 ? args[0] : "../data/lena.jpg";
Mat src = Imgcodecs.imread(filename);
if (src.empty()) {
System.err.println("Cannot read image: " + filename);
System.exit(0);
}
//! [Load image]
//! [Separate the image in 3 places ( B, G and R )]
List<Mat> bgrPlanes = new ArrayList<>();
Core.split(src, bgrPlanes);
//! [Separate the image in 3 places ( B, G and R )]
//! [Establish the number of bins]
int histSize = 256;
//! [Establish the number of bins]
//! [Set the ranges ( for B,G,R) )]
float[] range = {0, 256}; //the upper boundary is exclusive
MatOfFloat histRange = new MatOfFloat(range);
//! [Set the ranges ( for B,G,R) )]
//! [Set histogram param]
boolean accumulate = false;
//! [Set histogram param]
//! [Compute the histograms]
Mat bHist = new Mat(), gHist = new Mat(), rHist = new Mat();
Imgproc.calcHist(bgrPlanes, new MatOfInt(0), new Mat(), bHist, new MatOfInt(histSize), histRange, accumulate);
Imgproc.calcHist(bgrPlanes, new MatOfInt(1), new Mat(), gHist, new MatOfInt(histSize), histRange, accumulate);
Imgproc.calcHist(bgrPlanes, new MatOfInt(2), new Mat(), rHist, new MatOfInt(histSize), histRange, accumulate);
//! [Compute the histograms]
//! [Draw the histograms for B, G and R]
int histW = 512, histH = 400;
int binW = (int) Math.round((double) histW / histSize);
Mat histImage = new Mat( histH, histW, CvType.CV_8UC3, new Scalar( 0,0,0) );
//! [Draw the histograms for B, G and R]
//! [Normalize the result to ( 0, histImage.rows )]
Core.normalize(bHist, bHist, 0, histImage.rows(), Core.NORM_MINMAX);
Core.normalize(gHist, gHist, 0, histImage.rows(), Core.NORM_MINMAX);
Core.normalize(rHist, rHist, 0, histImage.rows(), Core.NORM_MINMAX);
//! [Normalize the result to ( 0, histImage.rows )]
//! [Draw for each channel]
float[] bHistData = new float[(int) (bHist.total() * bHist.channels())];
bHist.get(0, 0, bHistData);
float[] gHistData = new float[(int) (gHist.total() * gHist.channels())];
gHist.get(0, 0, gHistData);
float[] rHistData = new float[(int) (rHist.total() * rHist.channels())];
rHist.get(0, 0, rHistData);
for( int i = 1; i < histSize; i++ ) {
Imgproc.line(histImage, new Point(binW * (i - 1), histH - Math.round(bHistData[i - 1])),
new Point(binW * (i), histH - Math.round(bHistData[i])), new Scalar(255, 0, 0), 2);
Imgproc.line(histImage, new Point(binW * (i - 1), histH - Math.round(gHistData[i - 1])),
new Point(binW * (i), histH - Math.round(gHistData[i])), new Scalar(0, 255, 0), 2);
Imgproc.line(histImage, new Point(binW * (i - 1), histH - Math.round(rHistData[i - 1])),
new Point(binW * (i), histH - Math.round(rHistData[i])), new Scalar(0, 0, 255), 2);
}
//! [Draw for each channel]
//! [Display]
HighGui.imshow( "Source image", src );
HighGui.imshow( "calcHist Demo", histImage );
HighGui.waitKey(0);
//! [Display]
System.exit(0);
}
}
public class CalcHistDemo {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
new CalcHist().run(args);
}
}

91
3rdparty/opencv-4.5.4/samples/java/tutorial_code/Histograms_Matching/histogram_comparison/CompareHistDemo.java vendored Normal file
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import java.util.Arrays;
import java.util.List;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.Range;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class CompareHist {
public void run(String[] args) {
//! [Load three images with different environment settings]
if (args.length != 3) {
System.err.println("You must supply 3 arguments that correspond to the paths to 3 images.");
System.exit(0);
}
Mat srcBase = Imgcodecs.imread(args[0]);
Mat srcTest1 = Imgcodecs.imread(args[1]);
Mat srcTest2 = Imgcodecs.imread(args[2]);
if (srcBase.empty() || srcTest1.empty() || srcTest2.empty()) {
System.err.println("Cannot read the images");
System.exit(0);
}
//! [Load three images with different environment settings]
//! [Convert to HSV]
Mat hsvBase = new Mat(), hsvTest1 = new Mat(), hsvTest2 = new Mat();
Imgproc.cvtColor( srcBase, hsvBase, Imgproc.COLOR_BGR2HSV );
Imgproc.cvtColor( srcTest1, hsvTest1, Imgproc.COLOR_BGR2HSV );
Imgproc.cvtColor( srcTest2, hsvTest2, Imgproc.COLOR_BGR2HSV );
//! [Convert to HSV]
//! [Convert to HSV half]
Mat hsvHalfDown = hsvBase.submat( new Range( hsvBase.rows()/2, hsvBase.rows() - 1 ), new Range( 0, hsvBase.cols() - 1 ) );
//! [Convert to HSV half]
//! [Using 50 bins for hue and 60 for saturation]
int hBins = 50, sBins = 60;
int[] histSize = { hBins, sBins };
// hue varies from 0 to 179, saturation from 0 to 255
float[] ranges = { 0, 180, 0, 256 };
// Use the 0-th and 1-st channels
int[] channels = { 0, 1 };
//! [Using 50 bins for hue and 60 for saturation]
//! [Calculate the histograms for the HSV images]
Mat histBase = new Mat(), histHalfDown = new Mat(), histTest1 = new Mat(), histTest2 = new Mat();
List<Mat> hsvBaseList = Arrays.asList(hsvBase);
Imgproc.calcHist(hsvBaseList, new MatOfInt(channels), new Mat(), histBase, new MatOfInt(histSize), new MatOfFloat(ranges), false);
Core.normalize(histBase, histBase, 0, 1, Core.NORM_MINMAX);
List<Mat> hsvHalfDownList = Arrays.asList(hsvHalfDown);
Imgproc.calcHist(hsvHalfDownList, new MatOfInt(channels), new Mat(), histHalfDown, new MatOfInt(histSize), new MatOfFloat(ranges), false);
Core.normalize(histHalfDown, histHalfDown, 0, 1, Core.NORM_MINMAX);
List<Mat> hsvTest1List = Arrays.asList(hsvTest1);
Imgproc.calcHist(hsvTest1List, new MatOfInt(channels), new Mat(), histTest1, new MatOfInt(histSize), new MatOfFloat(ranges), false);
Core.normalize(histTest1, histTest1, 0, 1, Core.NORM_MINMAX);
List<Mat> hsvTest2List = Arrays.asList(hsvTest2);
Imgproc.calcHist(hsvTest2List, new MatOfInt(channels), new Mat(), histTest2, new MatOfInt(histSize), new MatOfFloat(ranges), false);
Core.normalize(histTest2, histTest2, 0, 1, Core.NORM_MINMAX);
//! [Calculate the histograms for the HSV images]
//! [Apply the histogram comparison methods]
for( int compareMethod = 0; compareMethod < 4; compareMethod++ ) {
double baseBase = Imgproc.compareHist( histBase, histBase, compareMethod );
double baseHalf = Imgproc.compareHist( histBase, histHalfDown, compareMethod );
double baseTest1 = Imgproc.compareHist( histBase, histTest1, compareMethod );
double baseTest2 = Imgproc.compareHist( histBase, histTest2, compareMethod );
System.out.println("Method " + compareMethod + " Perfect, Base-Half, Base-Test(1), Base-Test(2) : " + baseBase + " / " + baseHalf
+ " / " + baseTest1 + " / " + baseTest2);
}
//! [Apply the histogram comparison methods]
}
}
public class CompareHistDemo {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
new CompareHist().run(args);
}
}

49
3rdparty/opencv-4.5.4/samples/java/tutorial_code/Histograms_Matching/histogram_equalization/EqualizeHistDemo.java vendored Normal file
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import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class EqualizeHist {
public void run(String[] args) {
//! [Load image]
String filename = args.length > 0 ? args[0] : "../data/lena.jpg";
Mat src = Imgcodecs.imread(filename);
if (src.empty()) {
System.err.println("Cannot read image: " + filename);
System.exit(0);
}
//! [Load image]
//! [Convert to grayscale]
Imgproc.cvtColor(src, src, Imgproc.COLOR_BGR2GRAY);
//! [Convert to grayscale]
//! [Apply Histogram Equalization]
Mat dst = new Mat();
Imgproc.equalizeHist( src, dst );
//! [Apply Histogram Equalization]
//! [Display results]
HighGui.imshow( "Source image", src );
HighGui.imshow( "Equalized Image", dst );
//! [Display results]
//! [Wait until user exits the program]
HighGui.waitKey(0);
//! [Wait until user exits the program]
System.exit(0);
}
}
public class EqualizeHistDemo {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
new EqualizeHist().run(args);
}
}