feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake

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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package org.opencv.test.objdetect;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.objdetect.Objdetect;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
public class CascadeClassifierTest extends OpenCVTestCase {
private CascadeClassifier cc;
@Override
protected void setUp() throws Exception {
super.setUp();
cc = null;
}
public void testCascadeClassifier() {
cc = new CascadeClassifier();
assertNotNull(cc);
}
public void testCascadeClassifierString() {
cc = new CascadeClassifier(OpenCVTestRunner.LBPCASCADE_FRONTALFACE_PATH);
assertNotNull(cc);
}
public void testDetectMultiScaleMatListOfRect() {
CascadeClassifier cc = new CascadeClassifier(OpenCVTestRunner.LBPCASCADE_FRONTALFACE_PATH);
MatOfRect faces = new MatOfRect();
Mat greyLena = new Mat();
Imgproc.cvtColor(rgbLena, greyLena, Imgproc.COLOR_RGB2GRAY);
Imgproc.equalizeHist(greyLena, greyLena);
cc.detectMultiScale(greyLena, faces, 1.1, 3, Objdetect.CASCADE_SCALE_IMAGE, new Size(30, 30), new Size());
assertEquals(1, faces.total());
}
public void testDetectMultiScaleMatListOfRectDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDoubleInt() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDoubleIntInt() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDoubleIntIntSize() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDoubleIntIntSizeSize() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfIntegerListOfDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfIntegerListOfDoubleDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfIntegerListOfDoubleDoubleInt() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfIntegerListOfDoubleDoubleIntInt() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfIntegerListOfDoubleDoubleIntIntSize() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfIntegerListOfDoubleDoubleIntIntSizeSize() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfIntegerListOfDoubleDoubleIntIntSizeSizeBoolean() {
fail("Not yet implemented");
}
public void testEmpty() {
cc = new CascadeClassifier();
assertTrue(cc.empty());
}
public void testLoad() {
cc = new CascadeClassifier();
cc.load(OpenCVTestRunner.LBPCASCADE_FRONTALFACE_PATH);
assertFalse(cc.empty());
}
}

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package org.opencv.test.objdetect;
import org.opencv.objdetect.HOGDescriptor;
import org.opencv.test.OpenCVTestCase;
public class HOGDescriptorTest extends OpenCVTestCase {
public void testCheckDetectorSize() {
fail("Not yet implemented");
}
public void testComputeGradientMatMatMat() {
fail("Not yet implemented");
}
public void testComputeGradientMatMatMatSize() {
fail("Not yet implemented");
}
public void testComputeGradientMatMatMatSizeSize() {
fail("Not yet implemented");
}
public void testComputeMatListOfFloat() {
fail("Not yet implemented");
}
public void testComputeMatListOfFloatSize() {
fail("Not yet implemented");
}
public void testComputeMatListOfFloatSizeSize() {
fail("Not yet implemented");
}
public void testComputeMatListOfFloatSizeSizeListOfPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfPointDouble() {
fail("Not yet implemented");
}
public void testDetectMatListOfPointDoubleSize() {
fail("Not yet implemented");
}
public void testDetectMatListOfPointDoubleSizeSize() {
fail("Not yet implemented");
}
public void testDetectMatListOfPointDoubleSizeSizeListOfPoint() {
fail("Not yet implemented");
}
public void testDetectMatListOfPointListOfDouble() {
fail("Not yet implemented");
}
public void testDetectMatListOfPointListOfDoubleDouble() {
fail("Not yet implemented");
}
public void testDetectMatListOfPointListOfDoubleDoubleSize() {
fail("Not yet implemented");
}
public void testDetectMatListOfPointListOfDoubleDoubleSizeSize() {
fail("Not yet implemented");
}
public void testDetectMatListOfPointListOfDoubleDoubleSizeSizeListOfPoint() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRect() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDoubleSize() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDoubleSizeSize() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDoubleSizeSizeDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDoubleSizeSizeDoubleDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectDoubleSizeSizeDoubleDoubleBoolean() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfDoubleDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfDoubleDoubleSize() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfDoubleDoubleSizeSize() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfDoubleDoubleSizeSizeDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfDoubleDoubleSizeSizeDoubleDouble() {
fail("Not yet implemented");
}
public void testDetectMultiScaleMatListOfRectListOfDoubleDoubleSizeSizeDoubleDoubleBoolean() {
fail("Not yet implemented");
}
public void testGet_blockSize() {
fail("Not yet implemented");
}
public void testGet_blockStride() {
fail("Not yet implemented");
}
public void testGet_cellSize() {
fail("Not yet implemented");
}
public void testGet_derivAperture() {
fail("Not yet implemented");
}
public void testGet_gammaCorrection() {
fail("Not yet implemented");
}
public void testGet_histogramNormType() {
fail("Not yet implemented");
}
public void testGet_L2HysThreshold() {
fail("Not yet implemented");
}
public void testGet_nbins() {
fail("Not yet implemented");
}
public void testGet_nlevels() {
fail("Not yet implemented");
}
public void testGet_svmDetector() {
fail("Not yet implemented");
}
public void testGet_winSigma() {
fail("Not yet implemented");
}
public void testGet_winSize() {
fail("Not yet implemented");
}
public void testGetDaimlerPeopleDetector() {
fail("Not yet implemented");
}
public void testGetDefaultPeopleDetector() {
fail("Not yet implemented");
}
public void testGetDescriptorSize() {
fail("Not yet implemented");
}
public void testGetWinSigma() {
fail("Not yet implemented");
}
public void testHOGDescriptor() {
HOGDescriptor hog = new HOGDescriptor();
assertNotNull(hog);
assertEquals(HOGDescriptor.DEFAULT_NLEVELS, hog.get_nlevels());
}
public void testHOGDescriptorSizeSizeSizeSizeInt() {
fail("Not yet implemented");
}
public void testHOGDescriptorSizeSizeSizeSizeIntInt() {
fail("Not yet implemented");
}
public void testHOGDescriptorSizeSizeSizeSizeIntIntDouble() {
fail("Not yet implemented");
}
public void testHOGDescriptorSizeSizeSizeSizeIntIntDoubleInt() {
fail("Not yet implemented");
}
public void testHOGDescriptorSizeSizeSizeSizeIntIntDoubleIntDouble() {
fail("Not yet implemented");
}
public void testHOGDescriptorSizeSizeSizeSizeIntIntDoubleIntDoubleBoolean() {
fail("Not yet implemented");
}
public void testHOGDescriptorSizeSizeSizeSizeIntIntDoubleIntDoubleBooleanInt() {
fail("Not yet implemented");
}
public void testHOGDescriptorString() {
fail("Not yet implemented");
}
public void testLoadString() {
fail("Not yet implemented");
}
public void testLoadStringString() {
fail("Not yet implemented");
}
public void testSaveString() {
fail("Not yet implemented");
}
public void testSaveStringString() {
fail("Not yet implemented");
}
public void testSetSVMDetector() {
fail("Not yet implemented");
}
}

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package org.opencv.test.objdetect;
import org.opencv.test.OpenCVTestCase;
public class ObjdetectTest extends OpenCVTestCase {
public void testGroupRectanglesListOfRectListOfIntegerInt() {
fail("Not yet implemented");
/*
final int NUM = 10;
MatOfRect rects = new MatOfRect();
rects.alloc(NUM);
for (int i = 0; i < NUM; i++)
rects.put(i, 0, 10, 10, 20, 20);
int groupThreshold = 1;
Objdetect.groupRectangles(rects, null, groupThreshold);//TODO: second parameter should not be null
assertEquals(1, rects.total());
*/
}
public void testGroupRectanglesListOfRectListOfIntegerIntDouble() {
fail("Not yet implemented");
/*
final int NUM = 10;
MatOfRect rects = new MatOfRect();
rects.alloc(NUM);
for (int i = 0; i < NUM; i++)
rects.put(i, 0, 10, 10, 20, 20);
for (int i = 0; i < NUM; i++)
rects.put(i, 0, 10, 10, 25, 25);
int groupThreshold = 1;
double eps = 0.2;
Objdetect.groupRectangles(rects, null, groupThreshold, eps);//TODO: second parameter should not be null
assertEquals(2, rects.size());
*/
}
}

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package org.opencv.test.objdetect;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.objdetect.QRCodeDetector;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.test.OpenCVTestCase;
import java.util.Arrays;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
public class QRCodeDetectorTest extends OpenCVTestCase {
private final static String ENV_OPENCV_TEST_DATA_PATH = "OPENCV_TEST_DATA_PATH";
private String testDataPath;
@Override
protected void setUp() throws Exception {
super.setUp();
testDataPath = System.getenv(ENV_OPENCV_TEST_DATA_PATH);
if (testDataPath == null)
throw new Exception(ENV_OPENCV_TEST_DATA_PATH + " has to be defined!");
}
public void testDetectAndDecode() {
Mat img = Imgcodecs.imread(testDataPath + "/cv/qrcode/link_ocv.jpg");
assertFalse(img.empty());
QRCodeDetector detector = new QRCodeDetector();
assertNotNull(detector);
String output = detector.detectAndDecode(img);
assertEquals(output, "https://opencv.org/");
}
public void testDetectAndDecodeMulti() {
Mat img = Imgcodecs.imread(testDataPath + "/cv/qrcode/multiple/6_qrcodes.png");
assertFalse(img.empty());
QRCodeDetector detector = new QRCodeDetector();
assertNotNull(detector);
List < String > output = new ArrayList< String >();
boolean result = detector.detectAndDecodeMulti(img, output);
assertTrue(result);
assertEquals(output.size(), 6);
List < String > expectedResults = Arrays.asList("SKIP", "EXTRA", "TWO STEPS FORWARD", "STEP BACK", "QUESTION", "STEP FORWARD");
assertEquals(new HashSet<String>(output), new HashSet<String>(expectedResults));
}
}