from __future__ import print_function

import numpy as np
import cv2 as cv

import sys

def main():
    try:

            

Reported by Pylint.

              
    if circles is not None: # Check if circles have been found and only then iterate over these and add them to the image
        circles = np.uint16(np.around(circles))
        _a, b, _c = circles.shape
        for i in range(b):
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), circles[0][i][2], (0, 0, 255), 3, cv.LINE_AA)
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), 2, (0, 255, 0), 3, cv.LINE_AA)  # draw center of circle

        cv.imshow("detected circles", cimg)

            

Reported by Pylint.

              import numpy as np
import cv2 as cv

import sys

def main():
    try:
        fn = sys.argv[1]
    except IndexError:

            

Reported by Pylint.

              
import sys

def main():
    try:
        fn = sys.argv[1]
    except IndexError:
        fn = 'board.jpg'


            

Reported by Pylint.

              
def main():
    try:
        fn = sys.argv[1]
    except IndexError:
        fn = 'board.jpg'

    src = cv.imread(cv.samples.findFile(fn))
    img = cv.cvtColor(src, cv.COLOR_BGR2GRAY)

            

Reported by Pylint.

                  try:
        fn = sys.argv[1]
    except IndexError:
        fn = 'board.jpg'

    src = cv.imread(cv.samples.findFile(fn))
    img = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
    img = cv.medianBlur(img, 5)
    cimg = src.copy() # numpy function

            

Reported by Pylint.

              
    circles = cv.HoughCircles(img, cv.HOUGH_GRADIENT, 1, 10, np.array([]), 100, 30, 1, 30)

    if circles is not None: # Check if circles have been found and only then iterate over these and add them to the image
        circles = np.uint16(np.around(circles))
        _a, b, _c = circles.shape
        for i in range(b):
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), circles[0][i][2], (0, 0, 255), 3, cv.LINE_AA)
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), 2, (0, 255, 0), 3, cv.LINE_AA)  # draw center of circle

            

Reported by Pylint.

              
    if circles is not None: # Check if circles have been found and only then iterate over these and add them to the image
        circles = np.uint16(np.around(circles))
        _a, b, _c = circles.shape
        for i in range(b):
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), circles[0][i][2], (0, 0, 255), 3, cv.LINE_AA)
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), 2, (0, 255, 0), 3, cv.LINE_AA)  # draw center of circle

        cv.imshow("detected circles", cimg)

            

Reported by Pylint.

                      circles = np.uint16(np.around(circles))
        _a, b, _c = circles.shape
        for i in range(b):
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), circles[0][i][2], (0, 0, 255), 3, cv.LINE_AA)
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), 2, (0, 255, 0), 3, cv.LINE_AA)  # draw center of circle

        cv.imshow("detected circles", cimg)

    cv.imshow("source", src)

            

Reported by Pylint.

                      _a, b, _c = circles.shape
        for i in range(b):
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), circles[0][i][2], (0, 0, 255), 3, cv.LINE_AA)
            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), 2, (0, 255, 0), 3, cv.LINE_AA)  # draw center of circle

        cv.imshow("detected circles", cimg)

    cv.imshow("source", src)
    cv.waitKey(0)

            

Reported by Pylint.

                          val = vals.clone();
        else {
            val = new double[4];
            set(vals);
        }
    }

    public void set(double[] vals) {
        if (vals != null) {

            

Reported by PMD.

                      return new Scalar(v, v, v, v);
    }

    public Scalar clone() {
        return new Scalar(val);
    }

    public Scalar mul(Scalar it, double scale) {
        return new Scalar(val[0] * it.val[0] * scale, val[1] * it.val[1] * scale,

            

Reported by PMD.

              //javadoc:Scalar_
public class Scalar {

    public double val[];

    public Scalar(double v0, double v1, double v2, double v3) {
        val = new double[] { v0, v1, v2, v3 };
    }


            

Reported by PMD.

                      return new Scalar(v, v, v, v);
    }

    public Scalar clone() {
        return new Scalar(val);
    }

    public Scalar mul(Scalar it, double scale) {
        return new Scalar(val[0] * it.val[0] * scale, val[1] * it.val[1] * scale,

            

Reported by PMD.

                      return new Scalar(v, v, v, v);
    }

    public Scalar clone() {
        return new Scalar(val);
    }

    public Scalar mul(Scalar it, double scale) {
        return new Scalar(val[0] * it.val[0] * scale, val[1] * it.val[1] * scale,

            

Reported by PMD.

                  public int hashCode() {
        final int prime = 31;
        int result = 1;
        result = prime * result + java.util.Arrays.hashCode(val);
        return result;
    }

    @Override
    public boolean equals(Object obj) {

            

Reported by PMD.

                      if (this == obj) return true;
        if (!(obj instanceof Scalar)) return false;
        Scalar it = (Scalar) obj;
        if (!java.util.Arrays.equals(val, it.val)) return false;
        return true;
    }

    @Override
    public String toString() {

            

Reported by PMD.

                      if (this == obj) return true;
        if (!(obj instanceof Scalar)) return false;
        Scalar it = (Scalar) obj;
        if (!java.util.Arrays.equals(val, it.val)) return false;
        return true;
    }

    @Override
    public String toString() {

            

Reported by PMD.

                      val = new double[] { v0, 0, 0, 0 };
    }

    public Scalar(double[] vals) {
        if (vals != null && vals.length == 4)
            val = vals.clone();
        else {
            val = new double[4];
            set(vals);

            

Reported by PMD.

                      }
    }

    public void set(double[] vals) {
        if (vals != null) {
            val[0] = vals.length > 0 ? vals[0] : 0;
            val[1] = vals.length > 1 ? vals[1] : 0;
            val[2] = vals.length > 2 ? vals[2] : 0;
            val[3] = vals.length > 3 ? vals[3] : 0;

            

Reported by PMD.

              
    public RotatedRect(double[] vals) {
        this();
        set(vals);
    }

    public void set(double[] vals) {
        if (vals != null) {
            center.x = vals.length > 0 ? (double) vals[0] : 0;

            

Reported by PMD.

                      return r;
    }

    public RotatedRect clone() {
        return new RotatedRect(center, size, angle);
    }

    @Override
    public int hashCode() {

            

Reported by PMD.

              //javadoc:RotatedRect_
public class RotatedRect {

    public Point center;
    public Size size;
    public double angle;

    public RotatedRect() {
        this.center = new Point();

            

Reported by PMD.

              public class RotatedRect {

    public Point center;
    public Size size;
    public double angle;

    public RotatedRect() {
        this.center = new Point();
        this.size = new Size();

            

Reported by PMD.

              
    public Point center;
    public Size size;
    public double angle;

    public RotatedRect() {
        this.center = new Point();
        this.size = new Size();
        this.angle = 0;

            

Reported by PMD.

                      return r;
    }

    public RotatedRect clone() {
        return new RotatedRect(center, size, angle);
    }

    @Override
    public int hashCode() {

            

Reported by PMD.

                      return r;
    }

    public RotatedRect clone() {
        return new RotatedRect(center, size, angle);
    }

    @Override
    public int hashCode() {

            

Reported by PMD.

                      this.angle = a;
    }

    public RotatedRect(double[] vals) {
        this();
        set(vals);
    }

    public void set(double[] vals) {

            

Reported by PMD.

                      set(vals);
    }

    public void set(double[] vals) {
        if (vals != null) {
            center.x = vals.length > 0 ? (double) vals[0] : 0;
            center.y = vals.length > 1 ? (double) vals[1] : 0;
            size.width = vals.length > 2 ? (double) vals[2] : 0;
            size.height = vals.length > 3 ? (double) vals[3] : 0;

            

Reported by PMD.

                      }
    }

    public void points(Point pt[])
    {
        double _angle = angle * Math.PI / 180.0;
        double b = (double) Math.cos(_angle) * 0.5f;
        double a = (double) Math.sin(_angle) * 0.5f;


            

Reported by PMD.

              from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module


class ClsModelTestPipeline(ModelTestPipeline):
    def __init__(
            self,

            

Reported by Pylint.

              from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module


class ClsModelTestPipeline(ModelTestPipeline):
    def __init__(
            self,

            

Reported by Pylint.

              from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module


class ClsModelTestPipeline(ModelTestPipeline):
    def __init__(
            self,

            

Reported by Pylint.

              from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module


class ClsModelTestPipeline(ModelTestPipeline):
    def __init__(
            self,

            

Reported by Pylint.

                          ))

    def _configure_acc_eval(self, log_path):
        self._accuracy_evaluator = ClsAccEvaluation(
            log_path,
            self.test_config.img_cls_file,
            self.test_config.batch_size
        )

            

Reported by Pylint.

              from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module


class ClsModelTestPipeline(ModelTestPipeline):
    def __init__(
            self,

            

Reported by Pylint.

              from ..utils import get_test_module


class ClsModelTestPipeline(ModelTestPipeline):
    def __init__(
            self,
            network_model,
            model_processor,
            dnn_model_processor,

            

Reported by Pylint.

              from ..utils import get_test_module


class ClsModelTestPipeline(ModelTestPipeline):
    def __init__(
            self,
            network_model,
            model_processor,
            dnn_model_processor,

            

Reported by Pylint.

              

class ClsModelTestPipeline(ModelTestPipeline):
    def __init__(
            self,
            network_model,
            model_processor,
            dnn_model_processor,
            data_fetcher,

            

Reported by Pylint.

                          cls_args_parser=None,
            default_input_blob_preproc=None
    ):
        super(ClsModelTestPipeline, self).__init__(
            network_model,
            model_processor,
            dnn_model_processor
        )


            

Reported by Pylint.

              
    public Point3(double[] vals) {
        this();
        set(vals);
    }

    public void set(double[] vals) {
        if (vals != null) {
            x = vals.length > 0 ? vals[0] : 0;

            

Reported by PMD.

                      }
    }

    public Point3 clone() {
        return new Point3(x, y, z);
    }

    public double dot(Point3 p) {
        return x * p.x + y * p.y + z * p.z;

            

Reported by PMD.

              //javadoc:Point3_
public class Point3 {

    public double x, y, z;

    public Point3(double x, double y, double z) {
        this.x = x;
        this.y = y;
        this.z = z;

            

Reported by PMD.

              //javadoc:Point3_
public class Point3 {

    public double x, y, z;

    public Point3(double x, double y, double z) {
        this.x = x;
        this.y = y;
        this.z = z;

            

Reported by PMD.

              //javadoc:Point3_
public class Point3 {

    public double x, y, z;

    public Point3(double x, double y, double z) {
        this.x = x;
        this.y = y;
        this.z = z;

            

Reported by PMD.

                      }
    }

    public Point3 clone() {
        return new Point3(x, y, z);
    }

    public double dot(Point3 p) {
        return x * p.x + y * p.y + z * p.z;

            

Reported by PMD.

                      }
    }

    public Point3 clone() {
        return new Point3(x, y, z);
    }

    public double dot(Point3 p) {
        return x * p.x + y * p.y + z * p.z;

            

Reported by PMD.

              //javadoc:Point3_
public class Point3 {

    public double x, y, z;

    public Point3(double x, double y, double z) {
        this.x = x;
        this.y = y;
        this.z = z;

            

Reported by PMD.

                      z = 0;
    }

    public Point3(double[] vals) {
        this();
        set(vals);
    }

    public void set(double[] vals) {

            

Reported by PMD.

                      set(vals);
    }

    public void set(double[] vals) {
        if (vals != null) {
            x = vals.length > 0 ? vals[0] : 0;
            y = vals.length > 1 ? vals[1] : 0;
            z = vals.length > 2 ? vals[2] : 0;
        } else {

            

Reported by PMD.

              inline T &
Vec2<T>::operator [] (int i)
{
    return (&x)[i];
}

template <class T>
inline const T &
Vec2<T>::operator [] (int i) const

            

Reported by Cppcheck.

              inline const T &
Vec2<T>::operator [] (int i) const
{
    return (&x)[i];
}

template <class T>
inline
Vec2<T>::Vec2 ()

            

Reported by Cppcheck.

              inline T &
Vec3<T>::operator [] (int i)
{
    return (&x)[i];
}

template <class T>
inline const T &
Vec3<T>::operator [] (int i) const

            

Reported by Cppcheck.

              inline T &
Vec3<T>::operator [] (int i)
{
    return (&x)[i];
}

template <class T>
inline const T &
Vec3<T>::operator [] (int i) const

            

Reported by Cppcheck.

              inline T &
Vec3<T>::operator [] (int i)
{
    return (&x)[i];
}

template <class T>
inline const T &
Vec3<T>::operator [] (int i) const

            

Reported by Cppcheck.

              inline const T &
Vec3<T>::operator [] (int i) const
{
    return (&x)[i];
}

template <class T>
inline
Vec3<T>::Vec3 ()

            

Reported by Cppcheck.

              inline const T &
Vec3<T>::operator [] (int i) const
{
    return (&x)[i];
}

template <class T>
inline
Vec3<T>::Vec3 ()

            

Reported by Cppcheck.

              inline const T &
Vec3<T>::operator [] (int i) const
{
    return (&x)[i];
}

template <class T>
inline
Vec3<T>::Vec3 ()

            

Reported by Cppcheck.

              inline T &
Vec4<T>::operator [] (int i)
{
    return (&x)[i];
}

template <class T>
inline const T &
Vec4<T>::operator [] (int i) const

            

Reported by Cppcheck.

              inline const T &
Vec4<T>::operator [] (int i) const
{
    return (&x)[i];
}

template <class T>
inline
Vec4<T>::Vec4 ()

            

Reported by Cppcheck.

                  del sys.modules[__name__ + name]


# TODO: listdir
def init(base):
    _load_py_code(base, '.cv2')  # special case
    prefix = base
    prefix_len = len(prefix)


            

Reported by Pylint.

              import sys
import importlib

__all__ = ['init']


DEBUG = False
if hasattr(sys, 'OpenCV_LOADER_DEBUG'):
    DEBUG = True

            

Reported by Pylint.

              
def _load_py_code(base, name):
    try:
        m = importlib.import_module(__name__ + name)
    except ImportError:
        return  # extension doesn't exist?

    if DEBUG: print('OpenCV loader: added python code extension for: ' + name)


            

Reported by Pylint.

                  except ImportError:
        return  # extension doesn't exist?

    if DEBUG: print('OpenCV loader: added python code extension for: ' + name)

    if hasattr(m, '__all__'):
        export_members = { k : getattr(m, k) for k in m.__all__ }
    else:
        export_members = m.__dict__

            

Reported by Pylint.

                  else:
        export_members = m.__dict__

    for k, v in export_members.items():
        if k.startswith('_'):  # skip internals
            continue
        if isinstance(v, type(sys)):  # don't bring modules
            continue
        if DEBUG: print('    symbol: {} = {}'.format(k, v))

            

Reported by Pylint.

                          continue
        if isinstance(v, type(sys)):  # don't bring modules
            continue
        if DEBUG: print('    symbol: {} = {}'.format(k, v))
        setattr(sys.modules[base + name ], k, v)

    del sys.modules[__name__ + name]



            

Reported by Pylint.

              

# TODO: listdir
def init(base):
    _load_py_code(base, '.cv2')  # special case
    prefix = base
    prefix_len = len(prefix)

    modules = [ m for m in sys.modules.keys() if m.startswith(prefix) ]

            

Reported by Pylint.

                  prefix = base
    prefix_len = len(prefix)

    modules = [ m for m in sys.modules.keys() if m.startswith(prefix) ]
    for m in modules:
        m2 = m[prefix_len:]  # strip prefix
        if len(m2) == 0:
            continue
        if m2.startswith('._'):  # skip internals

            

Reported by Pylint.

                  prefix_len = len(prefix)

    modules = [ m for m in sys.modules.keys() if m.startswith(prefix) ]
    for m in modules:
        m2 = m[prefix_len:]  # strip prefix
        if len(m2) == 0:
            continue
        if m2.startswith('._'):  # skip internals
            continue

            

Reported by Pylint.

              
    modules = [ m for m in sys.modules.keys() if m.startswith(prefix) ]
    for m in modules:
        m2 = m[prefix_len:]  # strip prefix
        if len(m2) == 0:
            continue
        if m2.startswith('._'):  # skip internals
            continue
        if m2.startswith('.load_config_'):  # skip helper files

            

Reported by Pylint.

              from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse

parser = argparse.ArgumentParser(description='Code for Feature Matching with FLANN tutorial.')
parser.add_argument('--input1', help='Path to input image 1.', default='box.png')
parser.add_argument('--input2', help='Path to input image 2.', default='box_in_scene.png')
args = parser.parse_args()

            

Reported by Pylint.

              from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse

parser = argparse.ArgumentParser(description='Code for Feature Matching with FLANN tutorial.')
parser.add_argument('--input1', help='Path to input image 1.', default='box.png')
parser.add_argument('--input2', help='Path to input image 2.', default='box_in_scene.png')
args = parser.parse_args()

            

Reported by Pylint.

              from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse

parser = argparse.ArgumentParser(description='Code for Feature Matching with FLANN tutorial.')
parser.add_argument('--input1', help='Path to input image 1.', default='box.png')
parser.add_argument('--input2', help='Path to input image 2.', default='box_in_scene.png')
args = parser.parse_args()

            

Reported by Pylint.

              from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse

parser = argparse.ArgumentParser(description='Code for Feature Matching with FLANN tutorial.')
parser.add_argument('--input1', help='Path to input image 1.', default='box.png')
parser.add_argument('--input2', help='Path to input image 2.', default='box_in_scene.png')
args = parser.parse_args()

            

Reported by Pylint.

              img_scene = cv.imread(cv.samples.findFile(args.input2), cv.IMREAD_GRAYSCALE)
if img_object is None or img_scene is None:
    print('Could not open or find the images!')
    exit(0)

#-- Step 1: Detect the keypoints using SURF Detector, compute the descriptors
minHessian = 400
detector = cv.xfeatures2d_SURF.create(hessianThreshold=minHessian)
keypoints_obj, descriptors_obj = detector.detectAndCompute(img_object, None)

            

Reported by Pylint.

                  exit(0)

#-- Step 1: Detect the keypoints using SURF Detector, compute the descriptors
minHessian = 400
detector = cv.xfeatures2d_SURF.create(hessianThreshold=minHessian)
keypoints_obj, descriptors_obj = detector.detectAndCompute(img_object, None)
keypoints_scene, descriptors_scene = detector.detectAndCompute(img_scene, None)

#-- Step 2: Matching descriptor vectors with a FLANN based matcher

            

Reported by Pylint.

              knn_matches = matcher.knnMatch(descriptors_obj, descriptors_scene, 2)

#-- Filter matches using the Lowe's ratio test
ratio_thresh = 0.75
good_matches = []
for m,n in knn_matches:
    if m.distance < ratio_thresh * n.distance:
        good_matches.append(m)


            

Reported by Pylint.

                      good_matches.append(m)

#-- Draw matches
img_matches = np.empty((max(img_object.shape[0], img_scene.shape[0]), img_object.shape[1]+img_scene.shape[1], 3), dtype=np.uint8)
cv.drawMatches(img_object, keypoints_obj, img_scene, keypoints_scene, good_matches, img_matches, flags=cv.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)

#-- Localize the object
obj = np.empty((len(good_matches),2), dtype=np.float32)
scene = np.empty((len(good_matches),2), dtype=np.float32)

            

Reported by Pylint.

              
#-- Draw matches
img_matches = np.empty((max(img_object.shape[0], img_scene.shape[0]), img_object.shape[1]+img_scene.shape[1], 3), dtype=np.uint8)
cv.drawMatches(img_object, keypoints_obj, img_scene, keypoints_scene, good_matches, img_matches, flags=cv.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)

#-- Localize the object
obj = np.empty((len(good_matches),2), dtype=np.float32)
scene = np.empty((len(good_matches),2), dtype=np.float32)
for i in range(len(good_matches)):

            

Reported by Pylint.

              #-- Localize the object
obj = np.empty((len(good_matches),2), dtype=np.float32)
scene = np.empty((len(good_matches),2), dtype=np.float32)
for i in range(len(good_matches)):
    #-- Get the keypoints from the good matches
    obj[i,0] = keypoints_obj[good_matches[i].queryIdx].pt[0]
    obj[i,1] = keypoints_obj[good_matches[i].queryIdx].pt[1]
    scene[i,0] = keypoints_scene[good_matches[i].trainIdx].pt[0]
    scene[i,1] = keypoints_scene[good_matches[i].trainIdx].pt[1]

            

Reported by Pylint.

              
public class MLTest extends OpenCVTestCase {

    public void testSaveLoad() {
        Mat samples = new MatOfFloat(new float[] {
            5.1f, 3.5f, 1.4f, 0.2f,
            4.9f, 3.0f, 1.4f, 0.2f,
            4.7f, 3.2f, 1.3f, 0.2f,
            4.6f, 3.1f, 1.5f, 0.2f,

            

Reported by PMD.

              
public class MLTest extends OpenCVTestCase {

    public void testSaveLoad() {
        Mat samples = new MatOfFloat(new float[] {
            5.1f, 3.5f, 1.4f, 0.2f,
            4.9f, 3.0f, 1.4f, 0.2f,
            4.7f, 3.2f, 1.3f, 0.2f,
            4.6f, 3.1f, 1.5f, 0.2f,

            

Reported by PMD.

                          0, 0, 0, 0, 0, 1, 1, 1, 1, 1
        }).reshape(1, 10);
        SVM saved = SVM.create();
        assertFalse(saved.isTrained());

        saved.train(samples, Ml.ROW_SAMPLE, responses);
        assertTrue(saved.isTrained());

        String filename = OpenCVTestRunner.getTempFileName("yml");

            

Reported by PMD.

                      SVM saved = SVM.create();
        assertFalse(saved.isTrained());

        saved.train(samples, Ml.ROW_SAMPLE, responses);
        assertTrue(saved.isTrained());

        String filename = OpenCVTestRunner.getTempFileName("yml");
        saved.save(filename);
        SVM loaded = SVM.load(filename);

            

Reported by PMD.

                      assertFalse(saved.isTrained());

        saved.train(samples, Ml.ROW_SAMPLE, responses);
        assertTrue(saved.isTrained());

        String filename = OpenCVTestRunner.getTempFileName("yml");
        saved.save(filename);
        SVM loaded = SVM.load(filename);
        assertTrue(saved.isTrained());

            

Reported by PMD.

                      assertTrue(saved.isTrained());

        String filename = OpenCVTestRunner.getTempFileName("yml");
        saved.save(filename);
        SVM loaded = SVM.load(filename);
        assertTrue(saved.isTrained());
    }

}

            

Reported by PMD.

              
        String filename = OpenCVTestRunner.getTempFileName("yml");
        saved.save(filename);
        SVM loaded = SVM.load(filename);
        assertTrue(saved.isTrained());
    }

}

            

Reported by PMD.

                      String filename = OpenCVTestRunner.getTempFileName("yml");
        saved.save(filename);
        SVM loaded = SVM.load(filename);
        assertTrue(saved.isTrained());
    }

}

            

Reported by PMD.

              import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.CvType;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;

public class MLTest extends OpenCVTestCase {


            

Reported by PMD.

              
        String filename = OpenCVTestRunner.getTempFileName("yml");
        saved.save(filename);
        SVM loaded = SVM.load(filename);
        assertTrue(saved.isTrained());
    }

}

            

Reported by PMD.

              package org.opencv.core;

public final class CvType {

    // type depth constants
    public static final int
            CV_8U = 0,
            CV_8S = 1,
            CV_16U = 2,

            

Reported by PMD.

              package org.opencv.core;

public final class CvType {

    // type depth constants
    public static final int
            CV_8U = 0,
            CV_8S = 1,
            CV_16U = 2,

            

Reported by PMD.

              package org.opencv.core;

public final class CvType {

    // type depth constants
    public static final int
            CV_8U = 0,
            CV_8S = 1,
            CV_16U = 2,

            

Reported by PMD.

                      return depth(type) < CV_32F;
    }

    public static final int ELEM_SIZE(int type) {
        switch (depth(type)) {
        case CV_8U:
        case CV_8S:
            return channels(type);
        case CV_16U:

            

Reported by PMD.

                      }
    }

    public static final String typeToString(int type) {
        String s;
        switch (depth(type)) {
        case CV_8U:
            s = "CV_8U";
            break;

            

Reported by PMD.

                      }
    }

    public static final String typeToString(int type) {
        String s;
        switch (depth(type)) {
        case CV_8U:
            s = "CV_8U";
            break;

            

Reported by PMD.

                      }

        int ch = channels(type);
        if (ch <= 4)
            return s + "C" + ch;
        else
            return s + "C(" + ch + ")";
    }


            

Reported by PMD.

                  public static final int CV_USRTYPE1 = CV_16F;

    // predefined type constants
    public static final int
            CV_8UC1 = CV_8UC(1), CV_8UC2 = CV_8UC(2), CV_8UC3 = CV_8UC(3), CV_8UC4 = CV_8UC(4),
            CV_8SC1 = CV_8SC(1), CV_8SC2 = CV_8SC(2), CV_8SC3 = CV_8SC(3), CV_8SC4 = CV_8SC(4),
            CV_16UC1 = CV_16UC(1), CV_16UC2 = CV_16UC(2), CV_16UC3 = CV_16UC(3), CV_16UC4 = CV_16UC(4),
            CV_16SC1 = CV_16SC(1), CV_16SC2 = CV_16SC(2), CV_16SC3 = CV_16SC(3), CV_16SC4 = CV_16SC(4),
            CV_32SC1 = CV_32SC(1), CV_32SC2 = CV_32SC(2), CV_32SC3 = CV_32SC(3), CV_32SC4 = CV_32SC(4),

            

Reported by PMD.

                          CV_64FC1 = CV_64FC(1), CV_64FC2 = CV_64FC(2), CV_64FC3 = CV_64FC(3), CV_64FC4 = CV_64FC(4),
            CV_16FC1 = CV_16FC(1), CV_16FC2 = CV_16FC(2), CV_16FC3 = CV_16FC(3), CV_16FC4 = CV_16FC(4);

    private static final int CV_CN_MAX = 512, CV_CN_SHIFT = 3, CV_DEPTH_MAX = (1 << CV_CN_SHIFT);

    public static final int makeType(int depth, int channels) {
        if (channels <= 0 || channels >= CV_CN_MAX) {
            throw new UnsupportedOperationException(
                    "Channels count should be 1.." + (CV_CN_MAX - 1));

            

Reported by PMD.