The following issues were found
modules/objdetect/misc/python/test/test_peopledetect.py
29 issues
Line: 11
Column: 1
from __future__ import print_function
import numpy as np
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
Reported by Pylint.
Line: 19
Column: 1
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
from tests_common import NewOpenCVTests, intersectionRate
class peopledetect_test(NewOpenCVTests):
def test_peopledetect(self):
hog = cv.HOGDescriptor()
Reported by Pylint.
Line: 10
Column: 1
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
Reported by Pylint.
Line: 14
Column: 1
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
from tests_common import NewOpenCVTests, intersectionRate
Reported by Pylint.
Line: 14
Column: 1
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
from tests_common import NewOpenCVTests, intersectionRate
Reported by Pylint.
Line: 14
Column: 1
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
from tests_common import NewOpenCVTests, intersectionRate
Reported by Pylint.
Line: 15
Column: 13
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
from tests_common import NewOpenCVTests, intersectionRate
Reported by Pylint.
Line: 15
Column: 17
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
from tests_common import NewOpenCVTests, intersectionRate
Reported by Pylint.
Line: 15
Column: 9
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
from tests_common import NewOpenCVTests, intersectionRate
Reported by Pylint.
Line: 15
Column: 5
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
from tests_common import NewOpenCVTests, intersectionRate
Reported by Pylint.
samples/python/peopledetect.py
29 issues
Line: 16
Column: 1
from __future__ import print_function
import numpy as np
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
Reported by Pylint.
Line: 15
Column: 1
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
Reported by Pylint.
Line: 50
Column: 9
if img is None:
print('Failed to load image file:', fn)
continue
except:
print('loading error')
continue
found, _w = hog.detectMultiScale(img, winStride=(8,8), padding=(32,32), scale=1.05)
found_filtered = []
Reported by Pylint.
Line: 19
Column: 1
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
Reported by Pylint.
Line: 19
Column: 1
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
Reported by Pylint.
Line: 19
Column: 1
import cv2 as cv
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
Reported by Pylint.
Line: 20
Column: 5
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
def draw_detections(img, rects, thickness = 1):
Reported by Pylint.
Line: 20
Column: 17
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
def draw_detections(img, rects, thickness = 1):
Reported by Pylint.
Line: 20
Column: 13
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
def draw_detections(img, rects, thickness = 1):
Reported by Pylint.
Line: 20
Column: 9
def inside(r, q):
rx, ry, rw, rh = r
qx, qy, qw, qh = q
return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
def draw_detections(img, rects, thickness = 1):
Reported by Pylint.
samples/dnn/tf_text_graph_mask_rcnn.py
29 issues
Line: 3
Column: 1
import argparse
import numpy as np
from tf_text_graph_common import *
parser = argparse.ArgumentParser(description='Run this script to get a text graph of '
'Mask-RCNN model from TensorFlow Object Detection API. '
'Then pass it with .pb file to cv::dnn::readNetFromTensorflow function.')
parser.add_argument('--input', required=True, help='Path to frozen TensorFlow graph.')
parser.add_argument('--output', required=True, help='Path to output text graph.')
Reported by Pylint.
Line: 3
Column: 1
import argparse
import numpy as np
from tf_text_graph_common import *
parser = argparse.ArgumentParser(description='Run this script to get a text graph of '
'Mask-RCNN model from TensorFlow Object Detection API. '
'Then pass it with .pb file to cv::dnn::readNetFromTensorflow function.')
parser.add_argument('--input', required=True, help='Path to frozen TensorFlow graph.')
parser.add_argument('--output', required=True, help='Path to output text graph.')
Reported by Pylint.
Line: 3
Column: 1
import argparse
import numpy as np
from tf_text_graph_common import *
parser = argparse.ArgumentParser(description='Run this script to get a text graph of '
'Mask-RCNN model from TensorFlow Object Detection API. '
'Then pass it with .pb file to cv::dnn::readNetFromTensorflow function.')
parser.add_argument('--input', required=True, help='Path to frozen TensorFlow graph.')
parser.add_argument('--output', required=True, help='Path to output text graph.')
Reported by Pylint.
Line: 3
Column: 1
import argparse
import numpy as np
from tf_text_graph_common import *
parser = argparse.ArgumentParser(description='Run this script to get a text graph of '
'Mask-RCNN model from TensorFlow Object Detection API. '
'Then pass it with .pb file to cv::dnn::readNetFromTensorflow function.')
parser.add_argument('--input', required=True, help='Path to frozen TensorFlow graph.')
parser.add_argument('--output', required=True, help='Path to output text graph.')
Reported by Pylint.
Line: 3
Column: 1
import argparse
import numpy as np
from tf_text_graph_common import *
parser = argparse.ArgumentParser(description='Run this script to get a text graph of '
'Mask-RCNN model from TensorFlow Object Detection API. '
'Then pass it with .pb file to cv::dnn::readNetFromTensorflow function.')
parser.add_argument('--input', required=True, help='Path to frozen TensorFlow graph.')
parser.add_argument('--output', required=True, help='Path to output text graph.')
Reported by Pylint.
Line: 59
Column: 15
removeIdentity(graph_def)
nodesToKeep = []
def to_remove(name, op):
if name in nodesToKeep:
return False
return op == 'Const' or name.startswith(scopesToIgnore) or not name.startswith(scopesToKeep) or \
(name.startswith('CropAndResize') and op != 'CropAndResize')
Reported by Pylint.
Line: 278
Column: 9
def getUnconnectedNodes():
unconnected = [node.name for node in graph_def.node]
for node in graph_def.node:
for inp in node.input:
if inp in unconnected:
unconnected.remove(inp)
return unconnected
Reported by Pylint.
Line: 1
Column: 1
import argparse
import numpy as np
from tf_text_graph_common import *
parser = argparse.ArgumentParser(description='Run this script to get a text graph of '
'Mask-RCNN model from TensorFlow Object Detection API. '
'Then pass it with .pb file to cv::dnn::readNetFromTensorflow function.')
parser.add_argument('--input', required=True, help='Path to frozen TensorFlow graph.')
parser.add_argument('--output', required=True, help='Path to output text graph.')
Reported by Pylint.
Line: 6
Column: 1
from tf_text_graph_common import *
parser = argparse.ArgumentParser(description='Run this script to get a text graph of '
'Mask-RCNN model from TensorFlow Object Detection API. '
'Then pass it with .pb file to cv::dnn::readNetFromTensorflow function.')
parser.add_argument('--input', required=True, help='Path to frozen TensorFlow graph.')
parser.add_argument('--output', required=True, help='Path to output text graph.')
parser.add_argument('--config', required=True, help='Path to a *.config file is used for training.')
args = parser.parse_args()
Reported by Pylint.
Line: 7
Column: 1
parser = argparse.ArgumentParser(description='Run this script to get a text graph of '
'Mask-RCNN model from TensorFlow Object Detection API. '
'Then pass it with .pb file to cv::dnn::readNetFromTensorflow function.')
parser.add_argument('--input', required=True, help='Path to frozen TensorFlow graph.')
parser.add_argument('--output', required=True, help='Path to output text graph.')
parser.add_argument('--config', required=True, help='Path to a *.config file is used for training.')
args = parser.parse_args()
Reported by Pylint.
modules/python/test/test_mser.py
29 issues
Line: 10
Column: 1
from __future__ import print_function
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests
class mser_test(NewOpenCVTests):
def test_mser(self):
Reported by Pylint.
Line: 14
Column: 1
from tests_common import NewOpenCVTests
class mser_test(NewOpenCVTests):
def test_mser(self):
img = self.get_sample('cv/mser/puzzle.png', 0)
smallImg = [
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
Reported by Pylint.
Line: 14
Column: 1
from tests_common import NewOpenCVTests
class mser_test(NewOpenCVTests):
def test_mser(self):
img = self.get_sample('cv/mser/puzzle.png', 0)
smallImg = [
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
Reported by Pylint.
Line: 15
Column: 5
from tests_common import NewOpenCVTests
class mser_test(NewOpenCVTests):
def test_mser(self):
img = self.get_sample('cv/mser/puzzle.png', 0)
smallImg = [
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
Reported by Pylint.
Line: 15
Column: 5
from tests_common import NewOpenCVTests
class mser_test(NewOpenCVTests):
def test_mser(self):
img = self.get_sample('cv/mser/puzzle.png', 0)
smallImg = [
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
Reported by Pylint.
Line: 18
Column: 9
def test_mser(self):
img = self.get_sample('cv/mser/puzzle.png', 0)
smallImg = [
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
Reported by Pylint.
Line: 19
Column: 1
img = self.get_sample('cv/mser/puzzle.png', 0)
smallImg = [
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
Reported by Pylint.
Line: 20
Column: 1
img = self.get_sample('cv/mser/puzzle.png', 0)
smallImg = [
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
Reported by Pylint.
Line: 21
Column: 1
smallImg = [
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
Reported by Pylint.
Line: 22
Column: 1
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255],
Reported by Pylint.
samples/android/mobilenet-objdetect/src/org/opencv/samples/opencv_mobilenet/MainActivity.java
29 issues
Line: 143
// Create copy file in storage.
File outFile = new File(context.getFilesDir(), file);
FileOutputStream os = new FileOutputStream(outFile);
os.write(data);
os.close();
// Return a path to file which may be read in common way.
return outFile.getAbsolutePath();
} catch (IOException ex) {
Reported by PMD.
Line: 32
public class MainActivity extends AppCompatActivity implements CvCameraViewListener2 {
// Initialize OpenCV manager.
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS: {
Log.i(TAG, "OpenCV loaded successfully");
Reported by PMD.
Line: 32
public class MainActivity extends AppCompatActivity implements CvCameraViewListener2 {
// Initialize OpenCV manager.
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS: {
Log.i(TAG, "OpenCV loaded successfully");
Reported by PMD.
Line: 35
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS: {
Log.i(TAG, "OpenCV loaded successfully");
mOpenCvCameraView.enableView();
break;
}
Reported by PMD.
Line: 77
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
final int IN_WIDTH = 300;
final int IN_HEIGHT = 300;
final float WH_RATIO = (float)IN_WIDTH / IN_HEIGHT;
final double IN_SCALE_FACTOR = 0.007843;
final double MEAN_VAL = 127.5;
final double THRESHOLD = 0.2;
// Get a new frame
Reported by PMD.
Line: 93
net.setInput(blob);
Mat detections = net.forward();
int cols = frame.cols();
int rows = frame.rows();
detections = detections.reshape(1, (int)detections.total() / 7);
for (int i = 0; i < detections.rows(); ++i) {
Reported by PMD.
Line: 94
Mat detections = net.forward();
int cols = frame.cols();
int rows = frame.rows();
detections = detections.reshape(1, (int)detections.total() / 7);
for (int i = 0; i < detections.rows(); ++i) {
double confidence = detections.get(i, 2)[0];
Reported by PMD.
Line: 96
int cols = frame.cols();
int rows = frame.rows();
detections = detections.reshape(1, (int)detections.total() / 7);
for (int i = 0; i < detections.rows(); ++i) {
double confidence = detections.get(i, 2)[0];
if (confidence > THRESHOLD) {
int classId = (int)detections.get(i, 1)[0];
Reported by PMD.
Line: 96
int cols = frame.cols();
int rows = frame.rows();
detections = detections.reshape(1, (int)detections.total() / 7);
for (int i = 0; i < detections.rows(); ++i) {
double confidence = detections.get(i, 2)[0];
if (confidence > THRESHOLD) {
int classId = (int)detections.get(i, 1)[0];
Reported by PMD.
Line: 109
int bottom = (int)(detections.get(i, 6)[0] * rows);
// Draw rectangle around detected object.
Imgproc.rectangle(frame, new Point(left, top), new Point(right, bottom),
new Scalar(0, 255, 0));
String label = classNames[classId] + ": " + confidence;
int[] baseLine = new int[1];
Size labelSize = Imgproc.getTextSize(label, Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, 1, baseLine);
Reported by PMD.
samples/java/tutorial_code/ml/introduction_to_svm/IntroductionToSVMDemo.java
29 issues
Line: 13
import org.opencv.ml.Ml;
import org.opencv.ml.SVM;
public class IntroductionToSVMDemo {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Set up training data
Reported by PMD.
Line: 33
// Train the SVM
//! [init]
SVM svm = SVM.create();
svm.setType(SVM.C_SVC);
svm.setKernel(SVM.LINEAR);
svm.setTermCriteria(new TermCriteria(TermCriteria.MAX_ITER, 100, 1e-6));
//! [init]
//! [train]
svm.train(trainingDataMat, Ml.ROW_SAMPLE, labelsMat);
Reported by PMD.
Line: 34
//! [init]
SVM svm = SVM.create();
svm.setType(SVM.C_SVC);
svm.setKernel(SVM.LINEAR);
svm.setTermCriteria(new TermCriteria(TermCriteria.MAX_ITER, 100, 1e-6));
//! [init]
//! [train]
svm.train(trainingDataMat, Ml.ROW_SAMPLE, labelsMat);
//! [train]
Reported by PMD.
Line: 38
svm.setTermCriteria(new TermCriteria(TermCriteria.MAX_ITER, 100, 1e-6));
//! [init]
//! [train]
svm.train(trainingDataMat, Ml.ROW_SAMPLE, labelsMat);
//! [train]
// Data for visual representation
int width = 512, height = 512;
Mat image = Mat.zeros(height, width, CvType.CV_8UC3);
Reported by PMD.
Line: 47
// Show the decision regions given by the SVM
//! [show]
byte[] imageData = new byte[(int) (image.total() * image.channels())];
Mat sampleMat = new Mat(1, 2, CvType.CV_32F);
float[] sampleMatData = new float[(int) (sampleMat.total() * sampleMat.channels())];
for (int i = 0; i < image.rows(); i++) {
for (int j = 0; j < image.cols(); j++) {
sampleMatData[0] = j;
Reported by PMD.
Line: 47
// Show the decision regions given by the SVM
//! [show]
byte[] imageData = new byte[(int) (image.total() * image.channels())];
Mat sampleMat = new Mat(1, 2, CvType.CV_32F);
float[] sampleMatData = new float[(int) (sampleMat.total() * sampleMat.channels())];
for (int i = 0; i < image.rows(); i++) {
for (int j = 0; j < image.cols(); j++) {
sampleMatData[0] = j;
Reported by PMD.
Line: 57
sampleMat.put(0, 0, sampleMatData);
float response = svm.predict(sampleMat);
if (response == 1) {
imageData[(i * image.cols() + j) * image.channels()] = 0;
imageData[(i * image.cols() + j) * image.channels() + 1] = (byte) 255;
imageData[(i * image.cols() + j) * image.channels() + 2] = 0;
} else if (response == -1) {
imageData[(i * image.cols() + j) * image.channels()] = (byte) 255;
Reported by PMD.
Line: 68
}
}
}
image.put(0, 0, imageData);
//! [show]
// Show the training data
//! [show_data]
int thickness = -1;
Reported by PMD.
Line: 84
// Show support vectors
//! [show_vectors]
thickness = 2;
Mat sv = svm.getUncompressedSupportVectors();
float[] svData = new float[(int) (sv.total() * sv.channels())];
sv.get(0, 0, svData);
for (int i = 0; i < sv.rows(); ++i) {
Imgproc.circle(image, new Point(svData[i * sv.cols()], svData[i * sv.cols() + 1]), 6,
new Scalar(128, 128, 128), thickness, lineType, 0);
Reported by PMD.
Line: 85
//! [show_vectors]
thickness = 2;
Mat sv = svm.getUncompressedSupportVectors();
float[] svData = new float[(int) (sv.total() * sv.channels())];
sv.get(0, 0, svData);
for (int i = 0; i < sv.rows(); ++i) {
Imgproc.circle(image, new Point(svData[i * sv.cols()], svData[i * sv.cols() + 1]), 6,
new Scalar(128, 128, 128), thickness, lineType, 0);
}
Reported by PMD.
samples/java/tutorial_code/ImgProc/Smoothing/Smoothing.java
29 issues
Line: 22
src = Imgcodecs.imread(filename, Imgcodecs.IMREAD_COLOR);
if( src.empty() ) {
System.out.println("Error opening image");
System.out.println("Usage: ./Smoothing [image_name -- default ../data/lena.jpg] \n");
System.exit(-1);
}
if( displayCaption( "Original Image" ) != 0 ) { System.exit(0); }
Reported by PMD.
Line: 23
src = Imgcodecs.imread(filename, Imgcodecs.IMREAD_COLOR);
if( src.empty() ) {
System.out.println("Error opening image");
System.out.println("Usage: ./Smoothing [image_name -- default ../data/lena.jpg] \n");
System.exit(-1);
}
if( displayCaption( "Original Image" ) != 0 ) { System.exit(0); }
Reported by PMD.
Line: 6
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class SmoothingRun {
/// Global Variables
int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;
Reported by PMD.
Line: 6
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class SmoothingRun {
/// Global Variables
int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;
Reported by PMD.
Line: 9
class SmoothingRun {
/// Global Variables
int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;
Mat src = new Mat(), dst = new Mat();
String windowName = "Filter Demo 1";
Reported by PMD.
Line: 10
/// Global Variables
int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;
Mat src = new Mat(), dst = new Mat();
String windowName = "Filter Demo 1";
Reported by PMD.
Line: 11
/// Global Variables
int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;
Mat src = new Mat(), dst = new Mat();
String windowName = "Filter Demo 1";
public void run(String[] args) {
Reported by PMD.
Line: 13
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;
Mat src = new Mat(), dst = new Mat();
String windowName = "Filter Demo 1";
public void run(String[] args) {
String filename = ((args.length > 0) ? args[0] : "../data/lena.jpg");
Reported by PMD.
Line: 13
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;
Mat src = new Mat(), dst = new Mat();
String windowName = "Filter Demo 1";
public void run(String[] args) {
String filename = ((args.length > 0) ? args[0] : "../data/lena.jpg");
Reported by PMD.
Line: 14
int MAX_KERNEL_LENGTH = 31;
Mat src = new Mat(), dst = new Mat();
String windowName = "Filter Demo 1";
public void run(String[] args) {
String filename = ((args.length > 0) ? args[0] : "../data/lena.jpg");
Reported by PMD.
modules/core/src/opencl/runtime/generator/parser_clblas.py
29 issues
Line: 5
Column: 1
# usage:
# cat clBLAS.h | $0
from __future__ import print_function
import sys, re;
from common import remove_comments, getTokens, getParameters, postProcessParameters
try:
if len(sys.argv) > 1:
Reported by Pylint.
Line: 14
Column: 1
f = open(sys.argv[1], "r")
else:
f = sys.stdin
except:
sys.exit("ERROR. Can't open input file")
fns = []
while True:
Reported by Pylint.
Line: 25
Column: 1
break
assert isinstance(line, str)
line = line.strip()
parts = line.split();
if (line.startswith('clblas') or line.startswith('cl_') or line == 'void') and len(line.split()) == 1 and line.find('(') == -1:
fn = {}
modifiers = []
ret = []
calling = []
Reported by Pylint.
Line: 62
Column: 1
nl = nl.strip()
nl = re.sub(r'\n', r'', nl)
if len(nl) == 0:
break;
line += ' ' + nl
line = remove_comments(line)
parts = getTokens(line)
Reported by Pylint.
Line: 69
Column: 1
parts = getTokens(line)
i = 0;
name = parts[i]; i += 1;
fn['name'] = name
print('name=' + name)
Reported by Pylint.
Line: 71
Column: 1
i = 0;
name = parts[i]; i += 1;
fn['name'] = name
print('name=' + name)
params = getParameters(i, parts)
Reported by Pylint.
Line: 91
Column: 1
from pprint import pprint
pprint(fns)
from common import *
filterFileName='./filter/opencl_clblas_functions.list'
numEnabled = readFunctionFilter(fns, filterFileName)
functionsFilter = generateFilterNames(fns)
Reported by Pylint.
Line: 91
Column: 1
from pprint import pprint
pprint(fns)
from common import *
filterFileName='./filter/opencl_clblas_functions.list'
numEnabled = readFunctionFilter(fns, filterFileName)
functionsFilter = generateFilterNames(fns)
Reported by Pylint.
Line: 91
Column: 1
from pprint import pprint
pprint(fns)
from common import *
filterFileName='./filter/opencl_clblas_functions.list'
numEnabled = readFunctionFilter(fns, filterFileName)
functionsFilter = generateFilterNames(fns)
Reported by Pylint.
Line: 91
Column: 1
from pprint import pprint
pprint(fns)
from common import *
filterFileName='./filter/opencl_clblas_functions.list'
numEnabled = readFunctionFilter(fns, filterFileName)
functionsFilter = generateFilterNames(fns)
Reported by Pylint.
samples/python/floodfill.py
28 issues
Line: 21
Column: 1
from __future__ import print_function
import numpy as np
import cv2 as cv
import sys
class App():
Reported by Pylint.
Line: 27
Column: 22
class App():
def update(self, dummy=None):
if self.seed_pt is None:
cv.imshow('floodfill', self.img)
return
flooded = self.img.copy()
self.mask[:] = 0
Reported by Pylint.
Line: 42
Column: 43
cv.circle(flooded, self.seed_pt, 2, (0, 0, 255), -1)
cv.imshow('floodfill', flooded)
def onmouse(self, event, x, y, flags, param):
if flags & cv.EVENT_FLAG_LBUTTON:
self.seed_pt = x, y
self.update()
def run(self):
Reported by Pylint.
Line: 42
Column: 23
cv.circle(flooded, self.seed_pt, 2, (0, 0, 255), -1)
cv.imshow('floodfill', flooded)
def onmouse(self, event, x, y, flags, param):
if flags & cv.EVENT_FLAG_LBUTTON:
self.seed_pt = x, y
self.update()
def run(self):
Reported by Pylint.
Line: 44
Column: 13
def onmouse(self, event, x, y, flags, param):
if flags & cv.EVENT_FLAG_LBUTTON:
self.seed_pt = x, y
self.update()
def run(self):
try:
fn = sys.argv[1]
Reported by Pylint.
Line: 50
Column: 9
def run(self):
try:
fn = sys.argv[1]
except:
fn = 'fruits.jpg'
self.img = cv.imread(cv.samples.findFile(fn))
if self.img is None:
print('Failed to load image file:', fn)
Reported by Pylint.
Line: 53
Column: 9
except:
fn = 'fruits.jpg'
self.img = cv.imread(cv.samples.findFile(fn))
if self.img is None:
print('Failed to load image file:', fn)
sys.exit(1)
h, w = self.img.shape[:2]
Reported by Pylint.
Line: 59
Column: 9
sys.exit(1)
h, w = self.img.shape[:2]
self.mask = np.zeros((h+2, w+2), np.uint8)
self.seed_pt = None
self.fixed_range = True
self.connectivity = 4
self.update()
Reported by Pylint.
Line: 60
Column: 9
h, w = self.img.shape[:2]
self.mask = np.zeros((h+2, w+2), np.uint8)
self.seed_pt = None
self.fixed_range = True
self.connectivity = 4
self.update()
cv.setMouseCallback('floodfill', self.onmouse)
Reported by Pylint.
Line: 61
Column: 9
h, w = self.img.shape[:2]
self.mask = np.zeros((h+2, w+2), np.uint8)
self.seed_pt = None
self.fixed_range = True
self.connectivity = 4
self.update()
cv.setMouseCallback('floodfill', self.onmouse)
cv.createTrackbar('lo', 'floodfill', 20, 255, self.update)
Reported by Pylint.
samples/java/tutorial_code/ImgProc/changing_contrast_brightness_image/ChangingContrastBrightnessImageDemo.java
28 issues
Line: 49
String imagePath = args.length > 0 ? args[0] : "../data/lena.jpg";
matImgSrc = Imgcodecs.imread(imagePath);
if (matImgSrc.empty()) {
System.out.println("Empty image: " + imagePath);
System.exit(0);
}
// Create and set up the window.
frame = new JFrame(WINDOW_NAME);
Reported by PMD.
Line: 23
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
class ChangingContrastBrightnessImage {
private static int MAX_VALUE_ALPHA = 500;
private static int MAX_VALUE_BETA_GAMMA = 200;
private static final String WINDOW_NAME = "Changing the contrast and brightness of an image demo";
private static final String ALPHA_NAME = "Alpha gain (contrast)";
private static final String BETA_NAME = "Beta bias (brightness)";
Reported by PMD.
Line: 30
private static final String ALPHA_NAME = "Alpha gain (contrast)";
private static final String BETA_NAME = "Beta bias (brightness)";
private static final String GAMMA_NAME = "Gamma correction";
private JFrame frame;
private Mat matImgSrc = new Mat();
private JLabel imgSrcLabel;
private JLabel imgModifLabel;
private JPanel controlPanel;
private JPanel alphaBetaPanel;
Reported by PMD.
Line: 30
private static final String ALPHA_NAME = "Alpha gain (contrast)";
private static final String BETA_NAME = "Beta bias (brightness)";
private static final String GAMMA_NAME = "Gamma correction";
private JFrame frame;
private Mat matImgSrc = new Mat();
private JLabel imgSrcLabel;
private JLabel imgModifLabel;
private JPanel controlPanel;
private JPanel alphaBetaPanel;
Reported by PMD.
Line: 31
private static final String BETA_NAME = "Beta bias (brightness)";
private static final String GAMMA_NAME = "Gamma correction";
private JFrame frame;
private Mat matImgSrc = new Mat();
private JLabel imgSrcLabel;
private JLabel imgModifLabel;
private JPanel controlPanel;
private JPanel alphaBetaPanel;
private JPanel gammaPanel;
Reported by PMD.
Line: 31
private static final String BETA_NAME = "Beta bias (brightness)";
private static final String GAMMA_NAME = "Gamma correction";
private JFrame frame;
private Mat matImgSrc = new Mat();
private JLabel imgSrcLabel;
private JLabel imgModifLabel;
private JPanel controlPanel;
private JPanel alphaBetaPanel;
private JPanel gammaPanel;
Reported by PMD.
Line: 31
private static final String BETA_NAME = "Beta bias (brightness)";
private static final String GAMMA_NAME = "Gamma correction";
private JFrame frame;
private Mat matImgSrc = new Mat();
private JLabel imgSrcLabel;
private JLabel imgModifLabel;
private JPanel controlPanel;
private JPanel alphaBetaPanel;
private JPanel gammaPanel;
Reported by PMD.
Line: 32
private static final String GAMMA_NAME = "Gamma correction";
private JFrame frame;
private Mat matImgSrc = new Mat();
private JLabel imgSrcLabel;
private JLabel imgModifLabel;
private JPanel controlPanel;
private JPanel alphaBetaPanel;
private JPanel gammaPanel;
private double alphaValue = 1.0;
Reported by PMD.
Line: 32
private static final String GAMMA_NAME = "Gamma correction";
private JFrame frame;
private Mat matImgSrc = new Mat();
private JLabel imgSrcLabel;
private JLabel imgModifLabel;
private JPanel controlPanel;
private JPanel alphaBetaPanel;
private JPanel gammaPanel;
private double alphaValue = 1.0;
Reported by PMD.
Line: 33
private JFrame frame;
private Mat matImgSrc = new Mat();
private JLabel imgSrcLabel;
private JLabel imgModifLabel;
private JPanel controlPanel;
private JPanel alphaBetaPanel;
private JPanel gammaPanel;
private double alphaValue = 1.0;
private double betaValue = 0.0;
Reported by PMD.