import argparse
from collections import OrderedDict

import cv2 as cv
import numpy as np

EXPOS_COMP_CHOICES = OrderedDict()
EXPOS_COMP_CHOICES['gain_blocks'] = cv.detail.ExposureCompensator_GAIN_BLOCKS
EXPOS_COMP_CHOICES['gain'] = cv.detail.ExposureCompensator_GAIN

            

Reported by Pylint.

              try:
    cv.xfeatures2d_SURF.create() # check if the function can be called
    FEATURES_FIND_CHOICES['surf'] = cv.xfeatures2d_SURF.create
except (AttributeError, cv.error) as e:
    print("SURF not available")
# if SURF not available, ORB is default
FEATURES_FIND_CHOICES['orb'] = cv.ORB.create
try:
    FEATURES_FIND_CHOICES['sift'] = cv.xfeatures2d_SIFT.create

            

Reported by Pylint.

              )
parser.add_argument(
    '--features', action='store', default=list(FEATURES_FIND_CHOICES.keys())[0],
    help="Type of features used for images matching. The default is '%s'." % list(FEATURES_FIND_CHOICES.keys())[0],
    choices=FEATURES_FIND_CHOICES.keys(),
    type=str, dest='features'
)
parser.add_argument(
    '--matcher', action='store', default='homography',

            

Reported by Pylint.

              )
parser.add_argument(
    '--estimator', action='store', default=list(ESTIMATOR_CHOICES.keys())[0],
    help="Type of estimator used for transformation estimation. The default is '%s'." % list(ESTIMATOR_CHOICES.keys())[0],
    choices=ESTIMATOR_CHOICES.keys(),
    type=str, dest='estimator'
)
parser.add_argument(
    '--match_conf', action='store',

            

Reported by Pylint.

              )
parser.add_argument(
    '--match_conf', action='store',
    help="Confidence for feature matching step. The default is 0.3 for ORB and 0.65 for other feature types.",
    type=float, dest='match_conf'
)
parser.add_argument(
    '--conf_thresh', action='store', default=1.0,
    help="Threshold for two images are from the same panorama confidence.The default is 1.0.",

            

Reported by Pylint.

              )
parser.add_argument(
    '--wave_correct', action='store', default=list(WAVE_CORRECT_CHOICES.keys())[0],
    help="Perform wave effect correction. The default is '%s'" % list(WAVE_CORRECT_CHOICES.keys())[0],
    choices=WAVE_CORRECT_CHOICES.keys(),
    type=str, dest='wave_correct'
)
parser.add_argument(
    '--save_graph', action='store', default=None,

            

Reported by Pylint.

              __doc__ += '\n' + parser.format_help()


def get_matcher(args):
    try_cuda = args.try_cuda
    matcher_type = args.matcher
    if args.match_conf is None:
        if args.features == 'orb':
            match_conf = 0.3

            

Reported by Pylint.

                  return matcher


def get_compensator(args):
    expos_comp_type = EXPOS_COMP_CHOICES[args.expos_comp]
    expos_comp_nr_feeds = args.expos_comp_nr_feeds
    expos_comp_block_size = args.expos_comp_block_size
    # expos_comp_nr_filtering = args.expos_comp_nr_filtering
    if expos_comp_type == cv.detail.ExposureCompensator_CHANNELS:

            

Reported by Pylint.

                  return compensator


def main():
    args = parser.parse_args()
    img_names = args.img_names
    print(img_names)
    work_megapix = args.work_megapix
    seam_megapix = args.seam_megapix

            

Reported by Pylint.

                  return compensator


def main():
    args = parser.parse_args()
    img_names = args.img_names
    print(img_names)
    work_megapix = args.work_megapix
    seam_megapix = args.seam_megapix

            

Reported by Pylint.

              """

import sys, os, argparse, pathlib, traceback, contextlib, shutil
from cv_build_utils import execute, print_error, print_header, get_xcode_version, get_cmake_version

if __name__ == "__main__":

    # Check for dependencies
    assert sys.version_info >= (3, 6), "Python 3.6 or later is required! Current version is {}".format(sys.version_info)

            

Reported by Pylint.

                      build_folders = []

        def get_or_create_build_folder(base_dir, platform):
            build_folder = "{}/{}".format(base_dir, platform).replace(" ", "\\ ")  # Escape spaces in output path
            pathlib.Path(build_folder).mkdir(parents=True, exist_ok=True)
            return build_folder

        if iphoneos_archs:
            build_folder = get_or_create_build_folder(args.out, "iphoneos")

            

Reported by Pylint.

              
        print("")
        print_header("Finished building {}".format(xcframework_path))
    except Exception as e:
        print_error(e)
        traceback.print_exc(file=sys.stderr)
        sys.exit(1)

            

Reported by Pylint.

              of your choice. Just run it and grab a snack; you'll be waiting a while.
"""

import sys, os, argparse, pathlib, traceback, contextlib, shutil
from cv_build_utils import execute, print_error, print_header, get_xcode_version, get_cmake_version

if __name__ == "__main__":

    # Check for dependencies

            

Reported by Pylint.

              if __name__ == "__main__":

    # Check for dependencies
    assert sys.version_info >= (3, 6), "Python 3.6 or later is required! Current version is {}".format(sys.version_info)
    # Need CMake 3.18.5/3.19 or later for a Silicon-related fix to building for the iOS Simulator.
    # See https://gitlab.kitware.com/cmake/cmake/-/issues/21425 for context.
    assert get_cmake_version() >= (3, 18, 5), "CMake 3.18.5 or later is required. Current version is {}".format(get_cmake_version())
    # Need Xcode 12.2 for Apple Silicon support
    assert get_xcode_version() >= (12, 2), \

            

Reported by Pylint.

              if __name__ == "__main__":

    # Check for dependencies
    assert sys.version_info >= (3, 6), "Python 3.6 or later is required! Current version is {}".format(sys.version_info)
    # Need CMake 3.18.5/3.19 or later for a Silicon-related fix to building for the iOS Simulator.
    # See https://gitlab.kitware.com/cmake/cmake/-/issues/21425 for context.
    assert get_cmake_version() >= (3, 18, 5), "CMake 3.18.5 or later is required. Current version is {}".format(get_cmake_version())
    # Need Xcode 12.2 for Apple Silicon support
    assert get_xcode_version() >= (12, 2), \

            

Reported by Bandit.

                  assert sys.version_info >= (3, 6), "Python 3.6 or later is required! Current version is {}".format(sys.version_info)
    # Need CMake 3.18.5/3.19 or later for a Silicon-related fix to building for the iOS Simulator.
    # See https://gitlab.kitware.com/cmake/cmake/-/issues/21425 for context.
    assert get_cmake_version() >= (3, 18, 5), "CMake 3.18.5 or later is required. Current version is {}".format(get_cmake_version())
    # Need Xcode 12.2 for Apple Silicon support
    assert get_xcode_version() >= (12, 2), \
        "Xcode 12.2 command line tools or later are required! Current version is {}. ".format(get_xcode_version()) + \
        "Run xcode-select to switch if you have multiple Xcode installs."


            

Reported by Pylint.

                  assert sys.version_info >= (3, 6), "Python 3.6 or later is required! Current version is {}".format(sys.version_info)
    # Need CMake 3.18.5/3.19 or later for a Silicon-related fix to building for the iOS Simulator.
    # See https://gitlab.kitware.com/cmake/cmake/-/issues/21425 for context.
    assert get_cmake_version() >= (3, 18, 5), "CMake 3.18.5 or later is required. Current version is {}".format(get_cmake_version())
    # Need Xcode 12.2 for Apple Silicon support
    assert get_xcode_version() >= (12, 2), \
        "Xcode 12.2 command line tools or later are required! Current version is {}. ".format(get_xcode_version()) + \
        "Run xcode-select to switch if you have multiple Xcode installs."


            

Reported by Bandit.

                  # See https://gitlab.kitware.com/cmake/cmake/-/issues/21425 for context.
    assert get_cmake_version() >= (3, 18, 5), "CMake 3.18.5 or later is required. Current version is {}".format(get_cmake_version())
    # Need Xcode 12.2 for Apple Silicon support
    assert get_xcode_version() >= (12, 2), \
        "Xcode 12.2 command line tools or later are required! Current version is {}. ".format(get_xcode_version()) + \
        "Run xcode-select to switch if you have multiple Xcode installs."

    # Parse arguments
    description = """

            

Reported by Bandit.

                  assert get_cmake_version() >= (3, 18, 5), "CMake 3.18.5 or later is required. Current version is {}".format(get_cmake_version())
    # Need Xcode 12.2 for Apple Silicon support
    assert get_xcode_version() >= (12, 2), \
        "Xcode 12.2 command line tools or later are required! Current version is {}. ".format(get_xcode_version()) + \
        "Run xcode-select to switch if you have multiple Xcode installs."

    # Parse arguments
    description = """
        This script builds OpenCV into an xcframework supporting the Apple platforms of your choice.

            

Reported by Pylint.

              from __future__ import print_function

import numpy as np
import cv2 as cv

# built-in modules
import itertools as it
from multiprocessing.pool import ThreadPool


            

Reported by Pylint.

              
    keypoints, descrs = [], []
    if pool is None:
        ires = it.imap(f, params)
    else:
        ires = pool.imap(f, params)

    for i, (k, d) in enumerate(ires):
        print('affine sampling: %d / %d\r' % (i+1, len(params)), end='')

            

Reported by Pylint.

                      p1, p2, kp_pairs = filter_matches(kp1, kp2, raw_matches)
        if len(p1) >= 4:
            H, status = cv.findHomography(p1, p2, cv.RANSAC, 5.0)
            print('%d / %d  inliers/matched' % (np.sum(status), len(status)))
            # do not draw outliers (there will be a lot of them)
            kp_pairs = [kpp for kpp, flag in zip(kp_pairs, status) if flag]
        else:
            H, status = None, None
            print('%d matches found, not enough for homography estimation' % len(p1))

            

Reported by Pylint.

                  return img, mask, Ai


def affine_detect(detector, img, mask=None, pool=None):
    '''
    affine_detect(detector, img, mask=None, pool=None) -> keypoints, descrs

    Apply a set of affine transformations to the image, detect keypoints and
    reproject them into initial image coordinates.

            

Reported by Pylint.

                  feature_name = opts.get('--feature', 'brisk-flann')
    try:
        fn1, fn2 = args
    except:
        fn1 = 'aero1.jpg'
        fn2 = 'aero3.jpg'

    img1 = cv.imread(cv.samples.findFile(fn1), cv.IMREAD_GRAYSCALE)
    img2 = cv.imread(cv.samples.findFile(fn2), cv.IMREAD_GRAYSCALE)

            

Reported by Pylint.

              import cv2 as cv

# built-in modules
import itertools as it
from multiprocessing.pool import ThreadPool

# local modules
from common import Timer
from find_obj import init_feature, filter_matches, explore_match

            

Reported by Pylint.

              
# built-in modules
import itertools as it
from multiprocessing.pool import ThreadPool

# local modules
from common import Timer
from find_obj import init_feature, filter_matches, explore_match


            

Reported by Pylint.

              
    Ai - is an affine transform matrix from skew_img to img
    '''
    h, w = img.shape[:2]
    if mask is None:
        mask = np.zeros((h, w), np.uint8)
        mask[:] = 255
    A = np.float32([[1, 0, 0], [0, 1, 0]])
    if phi != 0.0:

            

Reported by Pylint.

              
    Ai - is an affine transform matrix from skew_img to img
    '''
    h, w = img.shape[:2]
    if mask is None:
        mask = np.zeros((h, w), np.uint8)
        mask[:] = 255
    A = np.float32([[1, 0, 0], [0, 1, 0]])
    if phi != 0.0:

            

Reported by Pylint.

                  if mask is None:
        mask = np.zeros((h, w), np.uint8)
        mask[:] = 255
    A = np.float32([[1, 0, 0], [0, 1, 0]])
    if phi != 0.0:
        phi = np.deg2rad(phi)
        s, c = np.sin(phi), np.cos(phi)
        A = np.float32([[c,-s], [ s, c]])
        corners = [[0, 0], [w, 0], [w, h], [0, h]]

            

Reported by Pylint.

              from __future__ import print_function

import numpy as np
import cv2 as cv

import video
from common import draw_str
from video import presets


            

Reported by Pylint.

                          frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
            vis = frame.copy()
            if self.p0 is not None:
                p2, trace_status = checkedTrace(self.gray1, frame_gray, self.p1)

                self.p1 = p2[trace_status].copy()
                self.p0 = self.p0[trace_status].copy()
                self.gray1 = frame_gray


            

Reported by Pylint.

                          frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
            vis = frame.copy()
            if self.p0 is not None:
                p2, trace_status = checkedTrace(self.gray1, frame_gray, self.p1)

                self.p1 = p2[trace_status].copy()
                self.p0 = self.p0[trace_status].copy()
                self.gray1 = frame_gray


            

Reported by Pylint.

                                  continue
                H, status = cv.findHomography(self.p0, self.p1, (0, cv.RANSAC)[self.use_ransac], 10.0)
                h, w = frame.shape[:2]
                overlay = cv.warpPerspective(self.frame0, H, (w, h))
                vis = cv.addWeighted(vis, 0.5, overlay, 0.5, 0.0)

                for (x0, y0), (x1, y1), good in zip(self.p0[:,0], self.p1[:,0], status[:,0]):
                    if good:
                        cv.line(vis, (int(x0), int(y0)), (int(x1), int(y1)), (0, 128, 0))

            

Reported by Pylint.

              # Python 2/3 compatibility
from __future__ import print_function

import numpy as np
import cv2 as cv

import video
from common import draw_str
from video import presets

            

Reported by Pylint.

                          if self.p0 is not None:
                p2, trace_status = checkedTrace(self.gray1, frame_gray, self.p1)

                self.p1 = p2[trace_status].copy()
                self.p0 = self.p0[trace_status].copy()
                self.gray1 = frame_gray

                if len(self.p0) < 4:
                    self.p0 = None

            

Reported by Pylint.

              
                self.p1 = p2[trace_status].copy()
                self.p0 = self.p0[trace_status].copy()
                self.gray1 = frame_gray

                if len(self.p0) < 4:
                    self.p0 = None
                    continue
                H, status = cv.findHomography(self.p0, self.p1, (0, cv.RANSAC)[self.use_ransac], 10.0)

            

Reported by Pylint.

                          if ch == 27:
                break
            if ch == ord(' '):
                self.frame0 = frame.copy()
                self.p0 = cv.goodFeaturesToTrack(frame_gray, **feature_params)
                if self.p0 is not None:
                    self.p1 = self.p0
                    self.gray0 = frame_gray
                    self.gray1 = frame_gray

            

Reported by Pylint.

                              self.frame0 = frame.copy()
                self.p0 = cv.goodFeaturesToTrack(frame_gray, **feature_params)
                if self.p0 is not None:
                    self.p1 = self.p0
                    self.gray0 = frame_gray
                    self.gray1 = frame_gray
            if ch == ord('r'):
                self.use_ransac = not self.use_ransac


            

Reported by Pylint.

                              self.p0 = cv.goodFeaturesToTrack(frame_gray, **feature_params)
                if self.p0 is not None:
                    self.p1 = self.p0
                    self.gray0 = frame_gray
                    self.gray1 = frame_gray
            if ch == ord('r'):
                self.use_ransac = not self.use_ransac



            

Reported by Pylint.

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

myHarris_window = 'My Harris corner detector'
myShiTomasi_window = 'My Shi Tomasi corner detector'
myHarris_qualityLevel = 50

            

Reported by Pylint.

              
def myHarris_function(val):
    myHarris_copy = np.copy(src)
    myHarris_qualityLevel = max(val, 1)

    for i in range(src_gray.shape[0]):
        for j in range(src_gray.shape[1]):
            if Mc[i,j] > myHarris_minVal + ( myHarris_maxVal - myHarris_minVal )*myHarris_qualityLevel/max_qualityLevel:
                cv.circle(myHarris_copy, (j,i), 4, (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256)), cv.FILLED)

            

Reported by Pylint.

                  myHarris_copy = np.copy(src)
    myHarris_qualityLevel = max(val, 1)

    for i in range(src_gray.shape[0]):
        for j in range(src_gray.shape[1]):
            if Mc[i,j] > myHarris_minVal + ( myHarris_maxVal - myHarris_minVal )*myHarris_qualityLevel/max_qualityLevel:
                cv.circle(myHarris_copy, (j,i), 4, (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256)), cv.FILLED)

    cv.imshow(myHarris_window, myHarris_copy)

            

Reported by Pylint.

                  myHarris_qualityLevel = max(val, 1)

    for i in range(src_gray.shape[0]):
        for j in range(src_gray.shape[1]):
            if Mc[i,j] > myHarris_minVal + ( myHarris_maxVal - myHarris_minVal )*myHarris_qualityLevel/max_qualityLevel:
                cv.circle(myHarris_copy, (j,i), 4, (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256)), cv.FILLED)

    cv.imshow(myHarris_window, myHarris_copy)


            

Reported by Pylint.

              
def myShiTomasi_function(val):
    myShiTomasi_copy = np.copy(src)
    myShiTomasi_qualityLevel = max(val, 1)

    for i in range(src_gray.shape[0]):
        for j in range(src_gray.shape[1]):
            if myShiTomasi_dst[i,j] > myShiTomasi_minVal + ( myShiTomasi_maxVal - myShiTomasi_minVal )*myShiTomasi_qualityLevel/max_qualityLevel:
                cv.circle(myShiTomasi_copy, (j,i), 4, (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256)), cv.FILLED)

            

Reported by Pylint.

                  myShiTomasi_copy = np.copy(src)
    myShiTomasi_qualityLevel = max(val, 1)

    for i in range(src_gray.shape[0]):
        for j in range(src_gray.shape[1]):
            if myShiTomasi_dst[i,j] > myShiTomasi_minVal + ( myShiTomasi_maxVal - myShiTomasi_minVal )*myShiTomasi_qualityLevel/max_qualityLevel:
                cv.circle(myShiTomasi_copy, (j,i), 4, (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256)), cv.FILLED)

    cv.imshow(myShiTomasi_window, myShiTomasi_copy)

            

Reported by Pylint.

                  myShiTomasi_qualityLevel = max(val, 1)

    for i in range(src_gray.shape[0]):
        for j in range(src_gray.shape[1]):
            if myShiTomasi_dst[i,j] > myShiTomasi_minVal + ( myShiTomasi_maxVal - myShiTomasi_minVal )*myShiTomasi_qualityLevel/max_qualityLevel:
                cv.circle(myShiTomasi_copy, (j,i), 4, (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256)), cv.FILLED)

    cv.imshow(myShiTomasi_window, myShiTomasi_copy)


            

Reported by Pylint.

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

myHarris_window = 'My Harris corner detector'
myShiTomasi_window = 'My Shi Tomasi corner detector'
myHarris_qualityLevel = 50

            

Reported by Pylint.

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

myHarris_window = 'My Harris corner detector'
myShiTomasi_window = 'My Shi Tomasi corner detector'
myHarris_qualityLevel = 50

            

Reported by Pylint.

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

myHarris_window = 'My Harris corner detector'
myShiTomasi_window = 'My Shi Tomasi corner detector'
myHarris_qualityLevel = 50

            

Reported by Pylint.

              from __future__ import print_function
import sys
import cv2 as cv

## [global_variables]
use_mask = False
img = None
templ = None
mask = None

            

Reported by Pylint.

              max_Trackbar = 5
## [global_variables]

def main(argv):

    if (len(sys.argv) < 3):
        print('Not enough parameters')
        print('Usage:\nmatch_template_demo.py <image_name> <template_name> [<mask_name>]')
        return -1

            

Reported by Pylint.

                      return -1

    ## [load_image]
    global img
    global templ
    img = cv.imread(sys.argv[1], cv.IMREAD_COLOR)
    templ = cv.imread(sys.argv[2], cv.IMREAD_COLOR)

    if (len(sys.argv) > 3):

            

Reported by Pylint.

              
    ## [load_image]
    global img
    global templ
    img = cv.imread(sys.argv[1], cv.IMREAD_COLOR)
    templ = cv.imread(sys.argv[2], cv.IMREAD_COLOR)

    if (len(sys.argv) > 3):
        global use_mask

            

Reported by Pylint.

                  templ = cv.imread(sys.argv[2], cv.IMREAD_COLOR)

    if (len(sys.argv) > 3):
        global use_mask
        use_mask = True
        global mask
        mask = cv.imread( sys.argv[3], cv.IMREAD_COLOR )

    if ((img is None) or (templ is None) or (use_mask and (mask is None))):

            

Reported by Pylint.

                  if (len(sys.argv) > 3):
        global use_mask
        use_mask = True
        global mask
        mask = cv.imread( sys.argv[3], cv.IMREAD_COLOR )

    if ((img is None) or (templ is None) or (use_mask and (mask is None))):
        print('Can\'t read one of the images')
        return -1

            

Reported by Pylint.

              
def MatchingMethod(param):

    global match_method
    match_method = param

    ## [copy_source]
    img_display = img.copy()
    ## [copy_source]

            

Reported by Pylint.

                  cv.imshow(image_window, img_display)
    cv.imshow(result_window, result)
    ## [imshow]
    pass

if __name__ == "__main__":
    main(sys.argv[1:])

            

Reported by Pylint.

              from __future__ import print_function
import sys
import cv2 as cv

## [global_variables]
use_mask = False
img = None
templ = None
mask = None

            

Reported by Pylint.

              import cv2 as cv

## [global_variables]
use_mask = False
img = None
templ = None
mask = None
image_window = "Source Image"
result_window = "Result window"

            

Reported by Pylint.

                                      InputStream is = getResources().openRawResource(R.raw.lbpcascade_frontalface);
                        File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);
                        mCascadeFile = new File(cascadeDir, "lbpcascade_frontalface.xml");
                        FileOutputStream os = new FileOutputStream(mCascadeFile);

                        byte[] buffer = new byte[4096];
                        int bytesRead;
                        while ((bytesRead = is.read(buffer)) != -1) {
                            os.write(buffer, 0, bytesRead);

            

Reported by PMD.

              import android.view.MenuItem;
import android.view.WindowManager;

public class FdActivity extends CameraActivity implements CvCameraViewListener2 {

    private static final String    TAG                 = "OCVSample::Activity";
    private static final Scalar    FACE_RECT_COLOR     = new Scalar(0, 255, 0, 255);
    public static final int        JAVA_DETECTOR       = 0;
    public static final int        NATIVE_DETECTOR     = 1;

            

Reported by PMD.

                  public static final int        JAVA_DETECTOR       = 0;
    public static final int        NATIVE_DETECTOR     = 1;

    private MenuItem               mItemFace50;
    private MenuItem               mItemFace40;
    private MenuItem               mItemFace30;
    private MenuItem               mItemFace20;
    private MenuItem               mItemType;


            

Reported by PMD.

                  public static final int        NATIVE_DETECTOR     = 1;

    private MenuItem               mItemFace50;
    private MenuItem               mItemFace40;
    private MenuItem               mItemFace30;
    private MenuItem               mItemFace20;
    private MenuItem               mItemType;

    private Mat                    mRgba;

            

Reported by PMD.

              
    private MenuItem               mItemFace50;
    private MenuItem               mItemFace40;
    private MenuItem               mItemFace30;
    private MenuItem               mItemFace20;
    private MenuItem               mItemType;

    private Mat                    mRgba;
    private Mat                    mGray;

            

Reported by PMD.

                  private MenuItem               mItemFace50;
    private MenuItem               mItemFace40;
    private MenuItem               mItemFace30;
    private MenuItem               mItemFace20;
    private MenuItem               mItemType;

    private Mat                    mRgba;
    private Mat                    mGray;
    private File                   mCascadeFile;

            

Reported by PMD.

                  private MenuItem               mItemFace40;
    private MenuItem               mItemFace30;
    private MenuItem               mItemFace20;
    private MenuItem               mItemType;

    private Mat                    mRgba;
    private Mat                    mGray;
    private File                   mCascadeFile;
    private CascadeClassifier      mJavaDetector;

            

Reported by PMD.

                  private MenuItem               mItemFace20;
    private MenuItem               mItemType;

    private Mat                    mRgba;
    private Mat                    mGray;
    private File                   mCascadeFile;
    private CascadeClassifier      mJavaDetector;
    private DetectionBasedTracker  mNativeDetector;


            

Reported by PMD.

                  private MenuItem               mItemType;

    private Mat                    mRgba;
    private Mat                    mGray;
    private File                   mCascadeFile;
    private CascadeClassifier      mJavaDetector;
    private DetectionBasedTracker  mNativeDetector;

    private int                    mDetectorType       = JAVA_DETECTOR;

            

Reported by PMD.

              
    private Mat                    mRgba;
    private Mat                    mGray;
    private File                   mCascadeFile;
    private CascadeClassifier      mJavaDetector;
    private DetectionBasedTracker  mNativeDetector;

    private int                    mDetectorType       = JAVA_DETECTOR;
    private String[]               mDetectorName;

            

Reported by PMD.

              #!/usr/bin/env python

import os
import argparse
import logging
import datetime
from run_utils import Err, CMakeCache, log, execute
from run_suite import TestSuite
from run_android import AndroidTestSuite

            

Reported by Pylint.

              from run_suite import TestSuite
from run_android import AndroidTestSuite

epilog = '''
NOTE:
Additional options starting with "--gtest_" and "--perf_" will be passed directly to the test executables.
'''

if __name__ == "__main__":

            

Reported by Pylint.

                      description='OpenCV test runner script',
        epilog=epilog,
        formatter_class=argparse.RawDescriptionHelpFormatter)
    parser.add_argument("build_path", nargs='?', default=".", help="Path to build directory (should contain CMakeCache.txt, default is current) or to directory with tests (all platform checks will be disabled in this case)")
    parser.add_argument("-t", "--tests", metavar="MODULES", default="", help="Comma-separated list of modules to test (example: -t core,imgproc,java)")
    parser.add_argument("-b", "--blacklist", metavar="MODULES", default="", help="Comma-separated list of modules to exclude from test (example: -b java)")
    parser.add_argument("-a", "--accuracy", action="store_true", default=False, help="Look for accuracy tests instead of performance tests")
    parser.add_argument("--check", action="store_true", default=False, help="Shortcut for '--perf_min_samples=1 --perf_force_samples=1'")
    parser.add_argument("-w", "--cwd", metavar="PATH", default=".", help="Working directory for tests (default is current)")

            

Reported by Pylint.

                      epilog=epilog,
        formatter_class=argparse.RawDescriptionHelpFormatter)
    parser.add_argument("build_path", nargs='?', default=".", help="Path to build directory (should contain CMakeCache.txt, default is current) or to directory with tests (all platform checks will be disabled in this case)")
    parser.add_argument("-t", "--tests", metavar="MODULES", default="", help="Comma-separated list of modules to test (example: -t core,imgproc,java)")
    parser.add_argument("-b", "--blacklist", metavar="MODULES", default="", help="Comma-separated list of modules to exclude from test (example: -b java)")
    parser.add_argument("-a", "--accuracy", action="store_true", default=False, help="Look for accuracy tests instead of performance tests")
    parser.add_argument("--check", action="store_true", default=False, help="Shortcut for '--perf_min_samples=1 --perf_force_samples=1'")
    parser.add_argument("-w", "--cwd", metavar="PATH", default=".", help="Working directory for tests (default is current)")
    parser.add_argument("--list", action="store_true", default=False, help="List available tests (executables)")

            

Reported by Pylint.

                      formatter_class=argparse.RawDescriptionHelpFormatter)
    parser.add_argument("build_path", nargs='?', default=".", help="Path to build directory (should contain CMakeCache.txt, default is current) or to directory with tests (all platform checks will be disabled in this case)")
    parser.add_argument("-t", "--tests", metavar="MODULES", default="", help="Comma-separated list of modules to test (example: -t core,imgproc,java)")
    parser.add_argument("-b", "--blacklist", metavar="MODULES", default="", help="Comma-separated list of modules to exclude from test (example: -b java)")
    parser.add_argument("-a", "--accuracy", action="store_true", default=False, help="Look for accuracy tests instead of performance tests")
    parser.add_argument("--check", action="store_true", default=False, help="Shortcut for '--perf_min_samples=1 --perf_force_samples=1'")
    parser.add_argument("-w", "--cwd", metavar="PATH", default=".", help="Working directory for tests (default is current)")
    parser.add_argument("--list", action="store_true", default=False, help="List available tests (executables)")
    parser.add_argument("--list_short", action="store_true", default=False, help="List available tests (aliases)")

            

Reported by Pylint.

                  parser.add_argument("build_path", nargs='?', default=".", help="Path to build directory (should contain CMakeCache.txt, default is current) or to directory with tests (all platform checks will be disabled in this case)")
    parser.add_argument("-t", "--tests", metavar="MODULES", default="", help="Comma-separated list of modules to test (example: -t core,imgproc,java)")
    parser.add_argument("-b", "--blacklist", metavar="MODULES", default="", help="Comma-separated list of modules to exclude from test (example: -b java)")
    parser.add_argument("-a", "--accuracy", action="store_true", default=False, help="Look for accuracy tests instead of performance tests")
    parser.add_argument("--check", action="store_true", default=False, help="Shortcut for '--perf_min_samples=1 --perf_force_samples=1'")
    parser.add_argument("-w", "--cwd", metavar="PATH", default=".", help="Working directory for tests (default is current)")
    parser.add_argument("--list", action="store_true", default=False, help="List available tests (executables)")
    parser.add_argument("--list_short", action="store_true", default=False, help="List available tests (aliases)")
    parser.add_argument("--list_short_main", action="store_true", default=False, help="List available tests (main repository, aliases)")

            

Reported by Pylint.

                  parser.add_argument("-t", "--tests", metavar="MODULES", default="", help="Comma-separated list of modules to test (example: -t core,imgproc,java)")
    parser.add_argument("-b", "--blacklist", metavar="MODULES", default="", help="Comma-separated list of modules to exclude from test (example: -b java)")
    parser.add_argument("-a", "--accuracy", action="store_true", default=False, help="Look for accuracy tests instead of performance tests")
    parser.add_argument("--check", action="store_true", default=False, help="Shortcut for '--perf_min_samples=1 --perf_force_samples=1'")
    parser.add_argument("-w", "--cwd", metavar="PATH", default=".", help="Working directory for tests (default is current)")
    parser.add_argument("--list", action="store_true", default=False, help="List available tests (executables)")
    parser.add_argument("--list_short", action="store_true", default=False, help="List available tests (aliases)")
    parser.add_argument("--list_short_main", action="store_true", default=False, help="List available tests (main repository, aliases)")
    parser.add_argument("--configuration", metavar="CFG", default=None, help="Force Debug or Release configuration (for Visual Studio and Java tests build)")

            

Reported by Pylint.

                  parser.add_argument("-b", "--blacklist", metavar="MODULES", default="", help="Comma-separated list of modules to exclude from test (example: -b java)")
    parser.add_argument("-a", "--accuracy", action="store_true", default=False, help="Look for accuracy tests instead of performance tests")
    parser.add_argument("--check", action="store_true", default=False, help="Shortcut for '--perf_min_samples=1 --perf_force_samples=1'")
    parser.add_argument("-w", "--cwd", metavar="PATH", default=".", help="Working directory for tests (default is current)")
    parser.add_argument("--list", action="store_true", default=False, help="List available tests (executables)")
    parser.add_argument("--list_short", action="store_true", default=False, help="List available tests (aliases)")
    parser.add_argument("--list_short_main", action="store_true", default=False, help="List available tests (main repository, aliases)")
    parser.add_argument("--configuration", metavar="CFG", default=None, help="Force Debug or Release configuration (for Visual Studio and Java tests build)")
    parser.add_argument("-n", "--dry_run", action="store_true", help="Do not run the tests")

            

Reported by Pylint.

                  parser.add_argument("-a", "--accuracy", action="store_true", default=False, help="Look for accuracy tests instead of performance tests")
    parser.add_argument("--check", action="store_true", default=False, help="Shortcut for '--perf_min_samples=1 --perf_force_samples=1'")
    parser.add_argument("-w", "--cwd", metavar="PATH", default=".", help="Working directory for tests (default is current)")
    parser.add_argument("--list", action="store_true", default=False, help="List available tests (executables)")
    parser.add_argument("--list_short", action="store_true", default=False, help="List available tests (aliases)")
    parser.add_argument("--list_short_main", action="store_true", default=False, help="List available tests (main repository, aliases)")
    parser.add_argument("--configuration", metavar="CFG", default=None, help="Force Debug or Release configuration (for Visual Studio and Java tests build)")
    parser.add_argument("-n", "--dry_run", action="store_true", help="Do not run the tests")
    parser.add_argument("-v", "--verbose", action="store_true", default=False, help="Print more debug information")

            

Reported by Pylint.

                  parser.add_argument("--check", action="store_true", default=False, help="Shortcut for '--perf_min_samples=1 --perf_force_samples=1'")
    parser.add_argument("-w", "--cwd", metavar="PATH", default=".", help="Working directory for tests (default is current)")
    parser.add_argument("--list", action="store_true", default=False, help="List available tests (executables)")
    parser.add_argument("--list_short", action="store_true", default=False, help="List available tests (aliases)")
    parser.add_argument("--list_short_main", action="store_true", default=False, help="List available tests (main repository, aliases)")
    parser.add_argument("--configuration", metavar="CFG", default=None, help="Force Debug or Release configuration (for Visual Studio and Java tests build)")
    parser.add_argument("-n", "--dry_run", action="store_true", help="Do not run the tests")
    parser.add_argument("-v", "--verbose", action="store_true", default=False, help="Print more debug information")


            

Reported by Pylint.

              import java.util.Arrays;
import java.util.List;

public class RotatedRectTest extends OpenCVTestCase {

    private double angle;
    private Point center;
    private Size size;


            

Reported by PMD.

              
public class RotatedRectTest extends OpenCVTestCase {

    private double angle;
    private Point center;
    private Size size;

    @Override
    protected void setUp() throws Exception {

            

Reported by PMD.

              public class RotatedRectTest extends OpenCVTestCase {

    private double angle;
    private Point center;
    private Size size;

    @Override
    protected void setUp() throws Exception {
        super.setUp();

            

Reported by PMD.

              
    private double angle;
    private Point center;
    private Size size;

    @Override
    protected void setUp() throws Exception {
        super.setUp();


            

Reported by PMD.

                  private Point center;
    private Size size;

    @Override
    protected void setUp() throws Exception {
        super.setUp();

        center = new Point(matSize / 2, matSize / 2);
        size = new Size(matSize / 4, matSize / 2);

            

Reported by PMD.

                      angle = 40;
    }

    public void testBoundingRect() {
        size = new Size(matSize / 2, matSize / 2);
        assertEquals(size.height, size.width);
        double length = size.height;

        angle = 45;

            

Reported by PMD.

                      angle = 40;
    }

    public void testBoundingRect() {
        size = new Size(matSize / 2, matSize / 2);
        assertEquals(size.height, size.width);
        double length = size.height;

        angle = 45;

            

Reported by PMD.

              
        assertTrue((r.x == Math.floor(center.x - halfDiagonal)) && (r.y == Math.floor(center.y - halfDiagonal)));

        assertTrue((r.br().x >= Math.ceil(center.x + halfDiagonal)) && (r.br().y >= Math.ceil(center.y + halfDiagonal)));

        assertTrue((r.br().x - Math.ceil(center.x + halfDiagonal)) <= 1 && (r.br().y - Math.ceil(center.y + halfDiagonal)) <= 1);
    }

    public void testClone() {

            

Reported by PMD.

              
        assertTrue((r.x == Math.floor(center.x - halfDiagonal)) && (r.y == Math.floor(center.y - halfDiagonal)));

        assertTrue((r.br().x >= Math.ceil(center.x + halfDiagonal)) && (r.br().y >= Math.ceil(center.y + halfDiagonal)));

        assertTrue((r.br().x - Math.ceil(center.x + halfDiagonal)) <= 1 && (r.br().y - Math.ceil(center.y + halfDiagonal)) <= 1);
    }

    public void testClone() {

            

Reported by PMD.

              
        assertTrue((r.x == Math.floor(center.x - halfDiagonal)) && (r.y == Math.floor(center.y - halfDiagonal)));

        assertTrue((r.br().x >= Math.ceil(center.x + halfDiagonal)) && (r.br().y >= Math.ceil(center.y + halfDiagonal)));

        assertTrue((r.br().x - Math.ceil(center.x + halfDiagonal)) <= 1 && (r.br().y - Math.ceil(center.y + halfDiagonal)) <= 1);
    }

    public void testClone() {

            

Reported by PMD.

                              'solvePnP', 'solvePnPRansac', 'solvePnPRefineLM']}


white_list = makeWhiteList([core, imgproc, objdetect, video, dnn, features2d, photo, aruco, calib3d])

            

Reported by Pylint.

              # Classes and methods whitelist

core = {
    '': [
        'absdiff', 'add', 'addWeighted', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'cartToPolar',
        'compare', 'convertScaleAbs', 'copyMakeBorder', 'countNonZero', 'determinant', 'dft', 'divide', 'eigen',
        'exp', 'flip', 'getOptimalDFTSize','gemm', 'hconcat', 'inRange', 'invert', 'kmeans', 'log', 'magnitude',
        'max', 'mean', 'meanStdDev', 'merge', 'min', 'minMaxLoc', 'mixChannels', 'multiply', 'norm', 'normalize',
        'perspectiveTransform', 'polarToCart', 'pow', 'randn', 'randu', 'reduce', 'repeat', 'rotate', 'setIdentity', 'setRNGSeed',

            

Reported by Pylint.

              
core = {
    '': [
        'absdiff', 'add', 'addWeighted', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'cartToPolar',
        'compare', 'convertScaleAbs', 'copyMakeBorder', 'countNonZero', 'determinant', 'dft', 'divide', 'eigen',
        'exp', 'flip', 'getOptimalDFTSize','gemm', 'hconcat', 'inRange', 'invert', 'kmeans', 'log', 'magnitude',
        'max', 'mean', 'meanStdDev', 'merge', 'min', 'minMaxLoc', 'mixChannels', 'multiply', 'norm', 'normalize',
        'perspectiveTransform', 'polarToCart', 'pow', 'randn', 'randu', 'reduce', 'repeat', 'rotate', 'setIdentity', 'setRNGSeed',
        'solve', 'solvePoly', 'split', 'sqrt', 'subtract', 'trace', 'transform', 'transpose', 'vconcat',

            

Reported by Pylint.

              core = {
    '': [
        'absdiff', 'add', 'addWeighted', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'cartToPolar',
        'compare', 'convertScaleAbs', 'copyMakeBorder', 'countNonZero', 'determinant', 'dft', 'divide', 'eigen',
        'exp', 'flip', 'getOptimalDFTSize','gemm', 'hconcat', 'inRange', 'invert', 'kmeans', 'log', 'magnitude',
        'max', 'mean', 'meanStdDev', 'merge', 'min', 'minMaxLoc', 'mixChannels', 'multiply', 'norm', 'normalize',
        'perspectiveTransform', 'polarToCart', 'pow', 'randn', 'randu', 'reduce', 'repeat', 'rotate', 'setIdentity', 'setRNGSeed',
        'solve', 'solvePoly', 'split', 'sqrt', 'subtract', 'trace', 'transform', 'transpose', 'vconcat',
        'setLogLevel', 'getLogLevel',

            

Reported by Pylint.

                  '': [
        'absdiff', 'add', 'addWeighted', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'cartToPolar',
        'compare', 'convertScaleAbs', 'copyMakeBorder', 'countNonZero', 'determinant', 'dft', 'divide', 'eigen',
        'exp', 'flip', 'getOptimalDFTSize','gemm', 'hconcat', 'inRange', 'invert', 'kmeans', 'log', 'magnitude',
        'max', 'mean', 'meanStdDev', 'merge', 'min', 'minMaxLoc', 'mixChannels', 'multiply', 'norm', 'normalize',
        'perspectiveTransform', 'polarToCart', 'pow', 'randn', 'randu', 'reduce', 'repeat', 'rotate', 'setIdentity', 'setRNGSeed',
        'solve', 'solvePoly', 'split', 'sqrt', 'subtract', 'trace', 'transform', 'transpose', 'vconcat',
        'setLogLevel', 'getLogLevel',
    ],

            

Reported by Pylint.

                      'absdiff', 'add', 'addWeighted', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'cartToPolar',
        'compare', 'convertScaleAbs', 'copyMakeBorder', 'countNonZero', 'determinant', 'dft', 'divide', 'eigen',
        'exp', 'flip', 'getOptimalDFTSize','gemm', 'hconcat', 'inRange', 'invert', 'kmeans', 'log', 'magnitude',
        'max', 'mean', 'meanStdDev', 'merge', 'min', 'minMaxLoc', 'mixChannels', 'multiply', 'norm', 'normalize',
        'perspectiveTransform', 'polarToCart', 'pow', 'randn', 'randu', 'reduce', 'repeat', 'rotate', 'setIdentity', 'setRNGSeed',
        'solve', 'solvePoly', 'split', 'sqrt', 'subtract', 'trace', 'transform', 'transpose', 'vconcat',
        'setLogLevel', 'getLogLevel',
    ],
    'Algorithm': [],

            

Reported by Pylint.

                      'compare', 'convertScaleAbs', 'copyMakeBorder', 'countNonZero', 'determinant', 'dft', 'divide', 'eigen',
        'exp', 'flip', 'getOptimalDFTSize','gemm', 'hconcat', 'inRange', 'invert', 'kmeans', 'log', 'magnitude',
        'max', 'mean', 'meanStdDev', 'merge', 'min', 'minMaxLoc', 'mixChannels', 'multiply', 'norm', 'normalize',
        'perspectiveTransform', 'polarToCart', 'pow', 'randn', 'randu', 'reduce', 'repeat', 'rotate', 'setIdentity', 'setRNGSeed',
        'solve', 'solvePoly', 'split', 'sqrt', 'subtract', 'trace', 'transform', 'transpose', 'vconcat',
        'setLogLevel', 'getLogLevel',
    ],
    'Algorithm': [],
}

            

Reported by Pylint.

                      'exp', 'flip', 'getOptimalDFTSize','gemm', 'hconcat', 'inRange', 'invert', 'kmeans', 'log', 'magnitude',
        'max', 'mean', 'meanStdDev', 'merge', 'min', 'minMaxLoc', 'mixChannels', 'multiply', 'norm', 'normalize',
        'perspectiveTransform', 'polarToCart', 'pow', 'randn', 'randu', 'reduce', 'repeat', 'rotate', 'setIdentity', 'setRNGSeed',
        'solve', 'solvePoly', 'split', 'sqrt', 'subtract', 'trace', 'transform', 'transpose', 'vconcat',
        'setLogLevel', 'getLogLevel',
    ],
    'Algorithm': [],
}


            

Reported by Pylint.

                  'Algorithm': [],
}

imgproc = {'': ['Canny', 'GaussianBlur', 'Laplacian', 'HoughLines', 'HoughLinesP', 'HoughCircles', 'Scharr','Sobel', \
                'adaptiveThreshold','approxPolyDP','arcLength','bilateralFilter','blur','boundingRect','boxFilter',\
                'calcBackProject','calcHist','circle','compareHist','connectedComponents','connectedComponentsWithStats', \
                'contourArea', 'convexHull', 'convexityDefects', 'cornerHarris','cornerMinEigenVal','createCLAHE', \
                'createLineSegmentDetector','cvtColor','demosaicing','dilate', 'distanceTransform','distanceTransformWithLabels', \
                'drawContours','ellipse','ellipse2Poly','equalizeHist','erode', 'filter2D', 'findContours','fitEllipse', \

            

Reported by Pylint.

              }

imgproc = {'': ['Canny', 'GaussianBlur', 'Laplacian', 'HoughLines', 'HoughLinesP', 'HoughCircles', 'Scharr','Sobel', \
                'adaptiveThreshold','approxPolyDP','arcLength','bilateralFilter','blur','boundingRect','boxFilter',\
                'calcBackProject','calcHist','circle','compareHist','connectedComponents','connectedComponentsWithStats', \
                'contourArea', 'convexHull', 'convexityDefects', 'cornerHarris','cornerMinEigenVal','createCLAHE', \
                'createLineSegmentDetector','cvtColor','demosaicing','dilate', 'distanceTransform','distanceTransformWithLabels', \
                'drawContours','ellipse','ellipse2Poly','equalizeHist','erode', 'filter2D', 'findContours','fitEllipse', \
                'fitLine', 'floodFill','getAffineTransform', 'getPerspectiveTransform', 'getRotationMatrix2D', 'getStructuringElement', \

            

Reported by Pylint.