import cv2 as cv
import argparse
import numpy as np
import sys
import time
from threading import Thread
if sys.version_info[0] == 2:
    import Queue as queue
else:

            

Reported by Pylint.

              import time
from threading import Thread
if sys.version_info[0] == 2:
    import Queue as queue
else:
    import queue

from common import *
from tf_text_graph_common import readTextMessage

            

Reported by Pylint.

              else:
    import queue

from common import *
from tf_text_graph_common import readTextMessage
from tf_text_graph_ssd import createSSDGraph
from tf_text_graph_faster_rcnn import createFasterRCNNGraph

backends = (cv.dnn.DNN_BACKEND_DEFAULT, cv.dnn.DNN_BACKEND_HALIDE, cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_BACKEND_OPENCV,

            

Reported by Pylint.

              else:
    import queue

from common import *
from tf_text_graph_common import readTextMessage
from tf_text_graph_ssd import createSSDGraph
from tf_text_graph_faster_rcnn import createFasterRCNNGraph

backends = (cv.dnn.DNN_BACKEND_DEFAULT, cv.dnn.DNN_BACKEND_HALIDE, cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_BACKEND_OPENCV,

            

Reported by Pylint.

              confThreshold = args.thr
nmsThreshold = args.nms

def postprocess(frame, outs):
    frameHeight = frame.shape[0]
    frameWidth = frame.shape[1]

    def drawPred(classId, conf, left, top, right, bottom):
        # Draw a bounding box.

            

Reported by Pylint.

              confThreshold = args.thr
nmsThreshold = args.nms

def postprocess(frame, outs):
    frameHeight = frame.shape[0]
    frameWidth = frame.shape[1]

    def drawPred(classId, conf, left, top, right, bottom):
        # Draw a bounding box.

            

Reported by Pylint.

                      # Draw a bounding box.
        cv.rectangle(frame, (left, top), (right, bottom), (0, 255, 0))

        label = '%.2f' % conf

        # Print a label of class.
        if classes:
            assert(classId < len(classes))
            label = '%s: %s' % (classes[classId], label)

            

Reported by Pylint.

              cv.namedWindow(winName, cv.WINDOW_NORMAL)

def callback(pos):
    global confThreshold
    confThreshold = pos / 100.0

cv.createTrackbar('Confidence threshold, %', winName, int(confThreshold * 100), 99, callback)

cap = cv.VideoCapture(cv.samples.findFileOrKeep(args.input) if args.input else 0)

            

Reported by Pylint.

              #
framesQueue = QueueFPS()
def framesThreadBody():
    global framesQueue, process

    while process:
        hasFrame, frame = cap.read()
        if not hasFrame:
            break

            

Reported by Pylint.

                  global framesQueue, process

    while process:
        hasFrame, frame = cap.read()
        if not hasFrame:
            break
        framesQueue.put(frame)



            

Reported by Pylint.

               * When frame is delivered via callback from Camera - it processed via OpenCV to be
 * converted to RGBA32 and then passed to the external callback for modifications if required.
 */
public class JavaCameraView extends CameraBridgeViewBase implements PreviewCallback {

    private static final int MAGIC_TEXTURE_ID = 10;
    private static final String TAG = "JavaCameraView";

    private byte mBuffer[];

            

Reported by PMD.

               * When frame is delivered via callback from Camera - it processed via OpenCV to be
 * converted to RGBA32 and then passed to the external callback for modifications if required.
 */
public class JavaCameraView extends CameraBridgeViewBase implements PreviewCallback {

    private static final int MAGIC_TEXTURE_ID = 10;
    private static final String TAG = "JavaCameraView";

    private byte mBuffer[];

            

Reported by PMD.

                  private static final int MAGIC_TEXTURE_ID = 10;
    private static final String TAG = "JavaCameraView";

    private byte mBuffer[];
    private Mat[] mFrameChain;
    private int mChainIdx = 0;
    private Thread mThread;
    private boolean mStopThread;


            

Reported by PMD.

                  private static final String TAG = "JavaCameraView";

    private byte mBuffer[];
    private Mat[] mFrameChain;
    private int mChainIdx = 0;
    private Thread mThread;
    private boolean mStopThread;

    protected Camera mCamera;

            

Reported by PMD.

              
    private byte mBuffer[];
    private Mat[] mFrameChain;
    private int mChainIdx = 0;
    private Thread mThread;
    private boolean mStopThread;

    protected Camera mCamera;
    protected JavaCameraFrame[] mCameraFrame;

            

Reported by PMD.

              
    private byte mBuffer[];
    private Mat[] mFrameChain;
    private int mChainIdx = 0;
    private Thread mThread;
    private boolean mStopThread;

    protected Camera mCamera;
    protected JavaCameraFrame[] mCameraFrame;

            

Reported by PMD.

                  private byte mBuffer[];
    private Mat[] mFrameChain;
    private int mChainIdx = 0;
    private Thread mThread;
    private boolean mStopThread;

    protected Camera mCamera;
    protected JavaCameraFrame[] mCameraFrame;
    private SurfaceTexture mSurfaceTexture;

            

Reported by PMD.

                  private Mat[] mFrameChain;
    private int mChainIdx = 0;
    private Thread mThread;
    private boolean mStopThread;

    protected Camera mCamera;
    protected JavaCameraFrame[] mCameraFrame;
    private SurfaceTexture mSurfaceTexture;
    private int mPreviewFormat = ImageFormat.NV21;

            

Reported by PMD.

                  private Thread mThread;
    private boolean mStopThread;

    protected Camera mCamera;
    protected JavaCameraFrame[] mCameraFrame;
    private SurfaceTexture mSurfaceTexture;
    private int mPreviewFormat = ImageFormat.NV21;

    public static class JavaCameraSizeAccessor implements ListItemAccessor {

            

Reported by PMD.

                  private boolean mStopThread;

    protected Camera mCamera;
    protected JavaCameraFrame[] mCameraFrame;
    private SurfaceTexture mSurfaceTexture;
    private int mPreviewFormat = ImageFormat.NV21;

    public static class JavaCameraSizeAccessor implements ListItemAccessor {


            

Reported by PMD.

              import android.view.View;

@TargetApi(15)
public abstract class CameraGLRendererBase implements GLSurfaceView.Renderer, SurfaceTexture.OnFrameAvailableListener {

    protected final String LOGTAG = "CameraGLRendererBase";

    // shaders
    private final String vss = ""

            

Reported by PMD.

              import android.view.View;

@TargetApi(15)
public abstract class CameraGLRendererBase implements GLSurfaceView.Renderer, SurfaceTexture.OnFrameAvailableListener {

    protected final String LOGTAG = "CameraGLRendererBase";

    // shaders
    private final String vss = ""

            

Reported by PMD.

              @TargetApi(15)
public abstract class CameraGLRendererBase implements GLSurfaceView.Renderer, SurfaceTexture.OnFrameAvailableListener {

    protected final String LOGTAG = "CameraGLRendererBase";

    // shaders
    private final String vss = ""
            + "attribute vec2 vPosition;\n"
            + "attribute vec2 vTexCoord;\n" + "varying vec2 texCoord;\n"

            

Reported by PMD.

              @TargetApi(15)
public abstract class CameraGLRendererBase implements GLSurfaceView.Renderer, SurfaceTexture.OnFrameAvailableListener {

    protected final String LOGTAG = "CameraGLRendererBase";

    // shaders
    private final String vss = ""
            + "attribute vec2 vPosition;\n"
            + "attribute vec2 vTexCoord;\n" + "varying vec2 texCoord;\n"

            

Reported by PMD.

              @TargetApi(15)
public abstract class CameraGLRendererBase implements GLSurfaceView.Renderer, SurfaceTexture.OnFrameAvailableListener {

    protected final String LOGTAG = "CameraGLRendererBase";

    // shaders
    private final String vss = ""
            + "attribute vec2 vPosition;\n"
            + "attribute vec2 vTexCoord;\n" + "varying vec2 texCoord;\n"

            

Reported by PMD.

                  protected final String LOGTAG = "CameraGLRendererBase";

    // shaders
    private final String vss = ""
            + "attribute vec2 vPosition;\n"
            + "attribute vec2 vTexCoord;\n" + "varying vec2 texCoord;\n"
            + "void main() {\n" + "  texCoord = vTexCoord;\n"
            + "  gl_Position = vec4 ( vPosition.x, vPosition.y, 0.0, 1.0 );\n"
            + "}";

            

Reported by PMD.

                  protected final String LOGTAG = "CameraGLRendererBase";

    // shaders
    private final String vss = ""
            + "attribute vec2 vPosition;\n"
            + "attribute vec2 vTexCoord;\n" + "varying vec2 texCoord;\n"
            + "void main() {\n" + "  texCoord = vTexCoord;\n"
            + "  gl_Position = vec4 ( vPosition.x, vPosition.y, 0.0, 1.0 );\n"
            + "}";

            

Reported by PMD.

                          + "  gl_Position = vec4 ( vPosition.x, vPosition.y, 0.0, 1.0 );\n"
            + "}";

    private final String fssOES = ""
            + "#extension GL_OES_EGL_image_external : require\n"
            + "precision mediump float;\n"
            + "uniform samplerExternalOES sTexture;\n"
            + "varying vec2 texCoord;\n"
            + "void main() {\n"

            

Reported by PMD.

                          + "  gl_Position = vec4 ( vPosition.x, vPosition.y, 0.0, 1.0 );\n"
            + "}";

    private final String fssOES = ""
            + "#extension GL_OES_EGL_image_external : require\n"
            + "precision mediump float;\n"
            + "uniform samplerExternalOES sTexture;\n"
            + "varying vec2 texCoord;\n"
            + "void main() {\n"

            

Reported by PMD.

                          + "void main() {\n"
            + "  gl_FragColor = texture2D(sTexture,texCoord);\n" + "}";

    private final String fss2D = ""
            + "precision mediump float;\n"
            + "uniform sampler2D sTexture;\n"
            + "varying vec2 texCoord;\n"
            + "void main() {\n"
            + "  gl_FragColor = texture2D(sTexture,texCoord);\n" + "}";

            

Reported by PMD.

              from __future__ import print_function

import numpy as np
import cv2 as cv

# built-in modules
import os
import sys
import glob

            

Reported by Pylint.

              
# built-in modules
import os
import sys
import glob
import argparse
from math import *



            

Reported by Pylint.

              import sys
import glob
import argparse
from math import *


class App():
    drag_start = None
    sel = (0,0,0,0)

            

Reported by Pylint.

              import sys
import glob
import argparse
from math import *


class App():
    drag_start = None
    sel = (0,0,0,0)

            

Reported by Pylint.

              import sys
import glob
import argparse
from math import *


class App():
    drag_start = None
    sel = (0,0,0,0)

            

Reported by Pylint.

              import sys
import glob
import argparse
from math import *


class App():
    drag_start = None
    sel = (0,0,0,0)

            

Reported by Pylint.

              import sys
import glob
import argparse
from math import *


class App():
    drag_start = None
    sel = (0,0,0,0)

            

Reported by Pylint.

              import sys
import glob
import argparse
from math import *


class App():
    drag_start = None
    sel = (0,0,0,0)

            

Reported by Pylint.

              import sys
import glob
import argparse
from math import *


class App():
    drag_start = None
    sel = (0,0,0,0)

            

Reported by Pylint.

              import sys
import glob
import argparse
from math import *


class App():
    drag_start = None
    sel = (0,0,0,0)

            

Reported by Pylint.

              #!/usr/bin/env python

import numpy as np
import cv2 as cv
import os
import sys
import unittest

from tests_common import NewOpenCVTests

            

Reported by Pylint.

              import sys
import unittest

from tests_common import NewOpenCVTests

try:

    if sys.version_info[:2] < (3, 0):
        raise unittest.SkipTest('Python 2.x is not supported')

            

Reported by Pylint.

                      def setUp(self):
            self.skipTest('Skip tests: ' + message)

        def test_skip():
            pass

    pass

if __name__ == '__main__':

            

Reported by Pylint.

                  if sys.version_info[:2] < (3, 0):
        raise unittest.SkipTest('Python 2.x is not supported')

    # FIXME: FText isn't supported yet.
    class gapi_render_test(NewOpenCVTests):
        def __init__(self, *args):
            super().__init__(*args)

            self.size = (300, 300, 3)

            

Reported by Pylint.

                          return y_out, uv_out

        def cvt_bgr_to_yuv_color(self, bgr):
            y = bgr[2] *  0.299000 + bgr[1] *  0.587000 + bgr[0] *  0.114000;
            u = bgr[2] * -0.168736 + bgr[1] * -0.331264 + bgr[0] *  0.500000 + 128;
            v = bgr[2] *  0.500000 + bgr[1] * -0.418688 + bgr[0] * -0.081312 + 128;
            return (y, u, v)

        def blend_img(self, background, org, img, alpha):

            

Reported by Pylint.

              
        def cvt_bgr_to_yuv_color(self, bgr):
            y = bgr[2] *  0.299000 + bgr[1] *  0.587000 + bgr[0] *  0.114000;
            u = bgr[2] * -0.168736 + bgr[1] * -0.331264 + bgr[0] *  0.500000 + 128;
            v = bgr[2] *  0.500000 + bgr[1] * -0.418688 + bgr[0] * -0.081312 + 128;
            return (y, u, v)

        def blend_img(self, background, org, img, alpha):
            x, y = org

            

Reported by Pylint.

                      def cvt_bgr_to_yuv_color(self, bgr):
            y = bgr[2] *  0.299000 + bgr[1] *  0.587000 + bgr[0] *  0.114000;
            u = bgr[2] * -0.168736 + bgr[1] * -0.331264 + bgr[0] *  0.500000 + 128;
            v = bgr[2] *  0.500000 + bgr[1] * -0.418688 + bgr[0] * -0.081312 + 128;
            return (y, u, v)

        def blend_img(self, background, org, img, alpha):
            x, y = org
            h, w, _ = img.shape

            

Reported by Pylint.

              
        # This is quite naive implementations used as a simple reference
        # doesn't consider corner cases.
        def draw_mosaic(self, img, mos, cell_sz, decim):
            x,y,w,h = mos
            mosaic_area = img[x:x+w, y:y+h, :]
            for i in range(0, mosaic_area.shape[0], cell_sz):
                for j in range(0, mosaic_area.shape[1], cell_sz):
                    cell_roi = mosaic_area[j:j+cell_sz, i:i+cell_sz, :]

            

Reported by Pylint.

                      def test_skip():
            pass

    pass

if __name__ == '__main__':
    NewOpenCVTests.bootstrap()

            

Reported by Pylint.

              #!/usr/bin/env python

import numpy as np
import cv2 as cv
import os
import sys
import unittest

from tests_common import NewOpenCVTests

            

Reported by Pylint.

                      } else if (clazz == Short.class || clazz == short.class) {
            return (Atable<T>)new AtableShort(this, row, col);
        } else {
            throw new RuntimeException("Unsupported class type");
        }
    }

    // javadoc:Mat::at(clazz, idx)
    @SuppressWarnings("unchecked")

            

Reported by PMD.

                      } else if (clazz == Short.class || clazz == short.class) {
            return (Atable<T>)new AtableShort(this, idx);
        } else {
            throw new RuntimeException("Unsupported class parameter");
        }
    }

    public static class Tuple2<T> {
        public Tuple2(T _0, T _1) {

            

Reported by PMD.

                  //

    // javadoc: Mat::clone()
    public Mat clone() {
        return new Mat(n_clone(nativeObj));
    }

    //
    // C++: Mat Mat::col(int x)

            

Reported by PMD.

              package org.opencv.core;

import java.nio.ByteBuffer;

// C++: class Mat
//javadoc: Mat
public class Mat {

    public final long nativeObj;

            

Reported by PMD.

              
// C++: class Mat
//javadoc: Mat
public class Mat {

    public final long nativeObj;

    public Mat(long addr) {
        if (addr == 0)

            

Reported by PMD.

              
// C++: class Mat
//javadoc: Mat
public class Mat {

    public final long nativeObj;

    public Mat(long addr) {
        if (addr == 0)

            

Reported by PMD.

              
// C++: class Mat
//javadoc: Mat
public class Mat {

    public final long nativeObj;

    public Mat(long addr) {
        if (addr == 0)

            

Reported by PMD.

              
// C++: class Mat
//javadoc: Mat
public class Mat {

    public final long nativeObj;

    public Mat(long addr) {
        if (addr == 0)

            

Reported by PMD.

              //javadoc: Mat
public class Mat {

    public final long nativeObj;

    public Mat(long addr) {
        if (addr == 0)
            throw new UnsupportedOperationException("Native object address is NULL");
        nativeObj = addr;

            

Reported by PMD.

                  //

    // javadoc: Mat::clone()
    public Mat clone() {
        return new Mat(n_clone(nativeObj));
    }

    //
    // C++: Mat Mat::col(int x)

            

Reported by PMD.

                          env = {}
            if not self.options.valgrind and self.options.trace:
                env['OPENCV_TRACE'] = '1'
                env['OPENCV_TRACE_LOCATION'] = 'OpenCVTrace-{}'.format(self.getLogBaseName(exe))
                env['OPENCV_TRACE_SYNC_OPENCL'] = '1'
            tempDir = TempEnvDir('OPENCV_TEMP_PATH', "__opencv_temp.")
            tempDir.init()
            cmd = self.wrapCommand(module, [exe] + args, env)
            log.warning("Run: %s" % " ".join(cmd))

            

Reported by Pylint.

              

class TestSuite(object):
    def __init__(self, options, cache, id):
        self.options = options
        self.cache = cache
        self.nameprefix = "opencv_" + self.options.mode + "_"
        self.tests = self.cache.gatherTests(self.nameprefix + "*", self.isTest)
        self.id = id

            

Reported by Pylint.

                      for t in self.tests:
            if name in self.getAliases(t):
                return t
        raise Err("Can not find test: %s", name)

    def getTestList(self, white, black):
        res = [t for t in white or self.tests if self.getAlias(t) not in black]
        if len(res) == 0:
            raise Err("No tests found")

            

Reported by Pylint.

                      try:
            if 0 == execute(cmd, cwd=workingDir):
                return True
        except:
            pass
        return False

    def runTest(self, module, path, logfile, workingDir, args=[]):
        args = args[:]

            

Reported by Pylint.

                          pass
        return False

    def runTest(self, module, path, logfile, workingDir, args=[]):
        args = args[:]
        exe = os.path.abspath(path)
        if module == "java":
            cmd = [self.cache.ant_executable, "-Dopencv.build.type=%s" % self.cache.build_type]
            if self.options.package:

            

Reported by Pylint.

                          tempDir = TempEnvDir('OPENCV_TEMP_PATH', "__opencv_temp.")
            tempDir.init()
            cmd = self.wrapCommand(module, [exe] + args, env)
            log.warning("Run: %s" % " ".join(cmd))
            ret = execute(cmd, cwd=workingDir, env=env)
            try:
                if not self.options.valgrind and self.options.trace and int(self.options.trace_dump) >= 0:
                    import trace_profiler
                    trace = trace_profiler.Trace(env['OPENCV_TRACE_LOCATION']+'.txt')

            

Reported by Pylint.

                                  trace = trace_profiler.Trace(env['OPENCV_TRACE_LOCATION']+'.txt')
                    trace.process()
                    trace.dump(max_entries=int(self.options.trace_dump))
            except:
                import traceback
                traceback.print_exc()
                pass
            tempDir.clean()
            hostlogpath = os.path.join(workingDir, logfile)

            

Reported by Pylint.

                          except:
                import traceback
                traceback.print_exc()
                pass
            tempDir.clean()
            hostlogpath = os.path.join(workingDir, logfile)
            if os.path.isfile(hostlogpath):
                return hostlogpath, ret
            return None, ret

            

Reported by Pylint.

                              return hostlogpath, ret
            return None, ret

    def runTests(self, tests, black, workingDir, args=[]):
        args = args[:]
        logs = []
        test_list = self.getTestList(tests, black)
        if len(test_list) != 1:
            args = [a for a in args if not a.startswith("--gtest_output=")]

            

Reported by Pylint.

              #!/usr/bin/env python
import os
import re
import sys
from run_utils import Err, log, execute, getPlatformVersion, isColorEnabled, TempEnvDir
from run_long import LONG_TESTS_DEBUG_VALGRIND, longTestFilter


class TestSuite(object):

            

Reported by Pylint.

              
# Import required modules
import numpy as np
import cv2 as cv
import math
import argparse

############ Add argument parser for command line arguments ############
parser = argparse.ArgumentParser(

            

Reported by Pylint.

                  Using classes from here: https://github.com/meijieru/crnn.pytorch/blob/master/models/crnn.py

    More converted onnx text recognition models can be downloaded directly here:
    Download link: https://drive.google.com/drive/folders/1cTbQ3nuZG-EKWak6emD_s8_hHXWz7lAr?usp=sharing
    And these models taken from here:https://github.com/clovaai/deep-text-recognition-benchmark

    import torch
    from models.crnn import CRNN


            

Reported by Pylint.

              # Import required modules
import numpy as np
import cv2 as cv
import math
import argparse

############ Add argument parser for command line arguments ############
parser = argparse.ArgumentParser(
    description="Use this script to run TensorFlow implementation (https://github.com/argman/EAST) of "

            

Reported by Pylint.

              import numpy as np
import cv2 as cv
import math
import argparse

############ Add argument parser for command line arguments ############
parser = argparse.ArgumentParser(
    description="Use this script to run TensorFlow implementation (https://github.com/argman/EAST) of "
                "EAST: An Efficient and Accurate Scene Text Detector (https://arxiv.org/abs/1704.03155v2)"

            

Reported by Pylint.

              
############ Add argument parser for command line arguments ############
parser = argparse.ArgumentParser(
    description="Use this script to run TensorFlow implementation (https://github.com/argman/EAST) of "
                "EAST: An Efficient and Accurate Scene Text Detector (https://arxiv.org/abs/1704.03155v2)"
                "The OCR model can be obtained from converting the pretrained CRNN model to .onnx format from the github repository https://github.com/meijieru/crnn.pytorch"
                "Or you can download trained OCR model directly from https://drive.google.com/drive/folders/1cTbQ3nuZG-EKWak6emD_s8_hHXWz7lAr?usp=sharing")
parser.add_argument('--input',
                    help='Path to input image or video file. Skip this argument to capture frames from a camera.')

            

Reported by Pylint.

              ############ Add argument parser for command line arguments ############
parser = argparse.ArgumentParser(
    description="Use this script to run TensorFlow implementation (https://github.com/argman/EAST) of "
                "EAST: An Efficient and Accurate Scene Text Detector (https://arxiv.org/abs/1704.03155v2)"
                "The OCR model can be obtained from converting the pretrained CRNN model to .onnx format from the github repository https://github.com/meijieru/crnn.pytorch"
                "Or you can download trained OCR model directly from https://drive.google.com/drive/folders/1cTbQ3nuZG-EKWak6emD_s8_hHXWz7lAr?usp=sharing")
parser.add_argument('--input',
                    help='Path to input image or video file. Skip this argument to capture frames from a camera.')
parser.add_argument('--model', '-m', required=True,

            

Reported by Pylint.

              parser = argparse.ArgumentParser(
    description="Use this script to run TensorFlow implementation (https://github.com/argman/EAST) of "
                "EAST: An Efficient and Accurate Scene Text Detector (https://arxiv.org/abs/1704.03155v2)"
                "The OCR model can be obtained from converting the pretrained CRNN model to .onnx format from the github repository https://github.com/meijieru/crnn.pytorch"
                "Or you can download trained OCR model directly from https://drive.google.com/drive/folders/1cTbQ3nuZG-EKWak6emD_s8_hHXWz7lAr?usp=sharing")
parser.add_argument('--input',
                    help='Path to input image or video file. Skip this argument to capture frames from a camera.')
parser.add_argument('--model', '-m', required=True,
                    help='Path to a binary .pb file contains trained detector network.')

            

Reported by Pylint.

                  description="Use this script to run TensorFlow implementation (https://github.com/argman/EAST) of "
                "EAST: An Efficient and Accurate Scene Text Detector (https://arxiv.org/abs/1704.03155v2)"
                "The OCR model can be obtained from converting the pretrained CRNN model to .onnx format from the github repository https://github.com/meijieru/crnn.pytorch"
                "Or you can download trained OCR model directly from https://drive.google.com/drive/folders/1cTbQ3nuZG-EKWak6emD_s8_hHXWz7lAr?usp=sharing")
parser.add_argument('--input',
                    help='Path to input image or video file. Skip this argument to capture frames from a camera.')
parser.add_argument('--model', '-m', required=True,
                    help='Path to a binary .pb file contains trained detector network.')
parser.add_argument('--ocr', default="crnn.onnx",

            

Reported by Pylint.

                              "The OCR model can be obtained from converting the pretrained CRNN model to .onnx format from the github repository https://github.com/meijieru/crnn.pytorch"
                "Or you can download trained OCR model directly from https://drive.google.com/drive/folders/1cTbQ3nuZG-EKWak6emD_s8_hHXWz7lAr?usp=sharing")
parser.add_argument('--input',
                    help='Path to input image or video file. Skip this argument to capture frames from a camera.')
parser.add_argument('--model', '-m', required=True,
                    help='Path to a binary .pb file contains trained detector network.')
parser.add_argument('--ocr', default="crnn.onnx",
                    help="Path to a binary .pb or .onnx file contains trained recognition network", )
parser.add_argument('--width', type=int, default=320,

            

Reported by Pylint.

              parser.add_argument('--model', '-m', required=True,
                    help='Path to a binary .pb file contains trained detector network.')
parser.add_argument('--ocr', default="crnn.onnx",
                    help="Path to a binary .pb or .onnx file contains trained recognition network", )
parser.add_argument('--width', type=int, default=320,
                    help='Preprocess input image by resizing to a specific width. It should be multiple by 32.')
parser.add_argument('--height', type=int, default=320,
                    help='Preprocess input image by resizing to a specific height. It should be multiple by 32.')
parser.add_argument('--thr', type=float, default=0.5,

            

Reported by Pylint.

                              createCameraPreviewSession();
            }
        } catch (RuntimeException e) {
            throw new RuntimeException("Interrupted while setCameraPreviewSize.", e);
        }
        return true;
    }

    private class JavaCamera2Frame implements CvCameraViewFrame {

            

Reported by PMD.

               */

@TargetApi(21)
public class JavaCamera2View extends CameraBridgeViewBase {

    private static final String LOGTAG = "JavaCamera2View";

    protected ImageReader mImageReader;
    protected int mPreviewFormat = ImageFormat.YUV_420_888;

            

Reported by PMD.

               */

@TargetApi(21)
public class JavaCamera2View extends CameraBridgeViewBase {

    private static final String LOGTAG = "JavaCamera2View";

    protected ImageReader mImageReader;
    protected int mPreviewFormat = ImageFormat.YUV_420_888;

            

Reported by PMD.

              
    private static final String LOGTAG = "JavaCamera2View";

    protected ImageReader mImageReader;
    protected int mPreviewFormat = ImageFormat.YUV_420_888;

    protected CameraDevice mCameraDevice;
    protected CameraCaptureSession mCaptureSession;
    protected CaptureRequest.Builder mPreviewRequestBuilder;

            

Reported by PMD.

                  private static final String LOGTAG = "JavaCamera2View";

    protected ImageReader mImageReader;
    protected int mPreviewFormat = ImageFormat.YUV_420_888;

    protected CameraDevice mCameraDevice;
    protected CameraCaptureSession mCaptureSession;
    protected CaptureRequest.Builder mPreviewRequestBuilder;
    protected String mCameraID;

            

Reported by PMD.

                  protected ImageReader mImageReader;
    protected int mPreviewFormat = ImageFormat.YUV_420_888;

    protected CameraDevice mCameraDevice;
    protected CameraCaptureSession mCaptureSession;
    protected CaptureRequest.Builder mPreviewRequestBuilder;
    protected String mCameraID;
    protected android.util.Size mPreviewSize = new android.util.Size(-1, -1);


            

Reported by PMD.

                  protected int mPreviewFormat = ImageFormat.YUV_420_888;

    protected CameraDevice mCameraDevice;
    protected CameraCaptureSession mCaptureSession;
    protected CaptureRequest.Builder mPreviewRequestBuilder;
    protected String mCameraID;
    protected android.util.Size mPreviewSize = new android.util.Size(-1, -1);

    private HandlerThread mBackgroundThread;

            

Reported by PMD.

              
    protected CameraDevice mCameraDevice;
    protected CameraCaptureSession mCaptureSession;
    protected CaptureRequest.Builder mPreviewRequestBuilder;
    protected String mCameraID;
    protected android.util.Size mPreviewSize = new android.util.Size(-1, -1);

    private HandlerThread mBackgroundThread;
    protected Handler mBackgroundHandler;

            

Reported by PMD.

                  protected CameraDevice mCameraDevice;
    protected CameraCaptureSession mCaptureSession;
    protected CaptureRequest.Builder mPreviewRequestBuilder;
    protected String mCameraID;
    protected android.util.Size mPreviewSize = new android.util.Size(-1, -1);

    private HandlerThread mBackgroundThread;
    protected Handler mBackgroundHandler;


            

Reported by PMD.

                  protected CameraCaptureSession mCaptureSession;
    protected CaptureRequest.Builder mPreviewRequestBuilder;
    protected String mCameraID;
    protected android.util.Size mPreviewSize = new android.util.Size(-1, -1);

    private HandlerThread mBackgroundThread;
    protected Handler mBackgroundHandler;

    public JavaCamera2View(Context context, int cameraId) {

            

Reported by PMD.

              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");

            

Reported by PMD.

              import org.opencv.objdetect.HOGDescriptor;
import org.opencv.test.OpenCVTestCase;

public class HOGDescriptorTest extends OpenCVTestCase {

    public void testCheckDetectorSize() {
        fail("Not yet implemented");
    }


            

Reported by PMD.

              
public class HOGDescriptorTest extends OpenCVTestCase {

    public void testCheckDetectorSize() {
        fail("Not yet implemented");
    }

    public void testComputeGradientMatMatMat() {
        fail("Not yet implemented");

            

Reported by PMD.

              public class HOGDescriptorTest extends OpenCVTestCase {

    public void testCheckDetectorSize() {
        fail("Not yet implemented");
    }

    public void testComputeGradientMatMatMat() {
        fail("Not yet implemented");
    }

            

Reported by PMD.

                      fail("Not yet implemented");
    }

    public void testComputeGradientMatMatMat() {
        fail("Not yet implemented");
    }

    public void testComputeGradientMatMatMatSize() {
        fail("Not yet implemented");

            

Reported by PMD.

                      fail("Not yet implemented");
    }

    public void testComputeGradientMatMatMatSize() {
        fail("Not yet implemented");
    }

    public void testComputeGradientMatMatMatSizeSize() {
        fail("Not yet implemented");

            

Reported by PMD.

                      fail("Not yet implemented");
    }

    public void testComputeGradientMatMatMatSizeSize() {
        fail("Not yet implemented");
    }

    public void testComputeMatListOfFloat() {
        fail("Not yet implemented");

            

Reported by PMD.

                      fail("Not yet implemented");
    }

    public void testComputeMatListOfFloat() {
        fail("Not yet implemented");
    }

    public void testComputeMatListOfFloatSize() {
        fail("Not yet implemented");

            

Reported by PMD.

                      fail("Not yet implemented");
    }

    public void testComputeMatListOfFloatSize() {
        fail("Not yet implemented");
    }

    public void testComputeMatListOfFloatSizeSize() {
        fail("Not yet implemented");

            

Reported by PMD.

                      fail("Not yet implemented");
    }

    public void testComputeMatListOfFloatSizeSize() {
        fail("Not yet implemented");
    }

    public void testComputeMatListOfFloatSizeSizeListOfPoint() {
        fail("Not yet implemented");

            

Reported by PMD.