The following issues were found
modules/python/test/test.py
11 issues
Line: 14
Column: 1
sys.dont_write_bytecode = True # Don't generate .pyc files / __pycache__ directories
import os
import unittest
# Python 3 moved urlopen to urllib.requests
try:
from urllib.request import urlopen
except ImportError:
Reported by Pylint.
Line: 18
Column: 5
# Python 3 moved urlopen to urllib.requests
try:
from urllib.request import urlopen
except ImportError:
from urllib import urlopen
from tests_common import NewOpenCVTests
Reported by Pylint.
Line: 27
Column: 31
basedir = os.path.abspath(os.path.dirname(__file__))
def load_tests(loader, tests, pattern):
cwd = os.getcwd()
config_file = 'opencv_python_tests.cfg'
locations = [cwd, basedir]
if os.path.exists(config_file):
with open(config_file, 'r') as f:
Reported by Pylint.
Line: 13
Column: 1
import sys
sys.dont_write_bytecode = True # Don't generate .pyc files / __pycache__ directories
import os
import unittest
# Python 3 moved urlopen to urllib.requests
try:
from urllib.request import urlopen
Reported by Pylint.
Line: 14
Column: 1
sys.dont_write_bytecode = True # Don't generate .pyc files / __pycache__ directories
import os
import unittest
# Python 3 moved urlopen to urllib.requests
try:
from urllib.request import urlopen
except ImportError:
Reported by Pylint.
Line: 22
Column: 1
except ImportError:
from urllib import urlopen
from tests_common import NewOpenCVTests
basedir = os.path.abspath(os.path.dirname(__file__))
def load_tests(loader, tests, pattern):
Reported by Pylint.
Line: 27
Column: 1
basedir = os.path.abspath(os.path.dirname(__file__))
def load_tests(loader, tests, pattern):
cwd = os.getcwd()
config_file = 'opencv_python_tests.cfg'
locations = [cwd, basedir]
if os.path.exists(config_file):
with open(config_file, 'r') as f:
Reported by Pylint.
Line: 32
Column: 40
config_file = 'opencv_python_tests.cfg'
locations = [cwd, basedir]
if os.path.exists(config_file):
with open(config_file, 'r') as f:
locations += [str(s).strip() for s in f.readlines()]
else:
print('WARNING: OpenCV tests config file ({}) is missing, running subset of tests'.format(config_file))
tests_pattern = os.environ.get('OPENCV_PYTEST_FILTER', 'test_*') + '.py'
Reported by Pylint.
Line: 35
Column: 1
with open(config_file, 'r') as f:
locations += [str(s).strip() for s in f.readlines()]
else:
print('WARNING: OpenCV tests config file ({}) is missing, running subset of tests'.format(config_file))
tests_pattern = os.environ.get('OPENCV_PYTEST_FILTER', 'test_*') + '.py'
if tests_pattern != 'test_*.py':
print('Tests filter: {}'.format(tests_pattern))
Reported by Pylint.
Line: 42
Column: 9
print('Tests filter: {}'.format(tests_pattern))
processed = set()
for l in locations:
if not os.path.isabs(l):
l = os.path.normpath(os.path.join(cwd, l))
if l in processed:
continue
processed.add(l)
Reported by Pylint.
modules/objdetect/misc/python/test/test_qrcode_detect.py
11 issues
Line: 9
Column: 1
'''
import os
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests
class qrcode_detector_test(NewOpenCVTests):
Reported by Pylint.
Line: 11
Column: 1
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests
class qrcode_detector_test(NewOpenCVTests):
def test_detect(self):
img = cv.imread(os.path.join(self.extraTestDataPath, 'cv/qrcode/link_ocv.jpg'))
Reported by Pylint.
Line: 8
Column: 1
===============================================================================
'''
import os
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests
class qrcode_detector_test(NewOpenCVTests):
Reported by Pylint.
Line: 27
Column: 25
img = cv.imread(os.path.join(self.extraTestDataPath, 'cv/qrcode/link_ocv.jpg'))
self.assertFalse(img is None)
detector = cv.QRCodeDetector()
retval, points, straight_qrcode = detector.detectAndDecode(img)
self.assertEqual(retval, "https://opencv.org/")
self.assertEqual(points.shape, (1, 4, 2))
def test_detect_multi(self):
img = cv.imread(os.path.join(self.extraTestDataPath, 'cv/qrcode/multiple/6_qrcodes.png'))
Reported by Pylint.
Line: 43
Column: 39
img = cv.imread(os.path.join(self.extraTestDataPath, 'cv/qrcode/multiple/6_qrcodes.png'))
self.assertFalse(img is None)
detector = cv.QRCodeDetector()
retval, decoded_data, points, straight_qrcode = detector.detectAndDecodeMulti(img)
self.assertTrue(retval)
self.assertEqual(len(decoded_data), 6)
self.assertEqual(decoded_data[0], "TWO STEPS FORWARD")
self.assertEqual(decoded_data[1], "EXTRA")
self.assertEqual(decoded_data[2], "SKIP")
Reported by Pylint.
Line: 13
Column: 1
from tests_common import NewOpenCVTests
class qrcode_detector_test(NewOpenCVTests):
def test_detect(self):
img = cv.imread(os.path.join(self.extraTestDataPath, 'cv/qrcode/link_ocv.jpg'))
self.assertFalse(img is None)
detector = cv.QRCodeDetector()
Reported by Pylint.
Line: 13
Column: 1
from tests_common import NewOpenCVTests
class qrcode_detector_test(NewOpenCVTests):
def test_detect(self):
img = cv.imread(os.path.join(self.extraTestDataPath, 'cv/qrcode/link_ocv.jpg'))
self.assertFalse(img is None)
detector = cv.QRCodeDetector()
Reported by Pylint.
Line: 15
Column: 5
class qrcode_detector_test(NewOpenCVTests):
def test_detect(self):
img = cv.imread(os.path.join(self.extraTestDataPath, 'cv/qrcode/link_ocv.jpg'))
self.assertFalse(img is None)
detector = cv.QRCodeDetector()
retval, points = detector.detect(img)
self.assertTrue(retval)
Reported by Pylint.
Line: 23
Column: 5
self.assertTrue(retval)
self.assertEqual(points.shape, (1, 4, 2))
def test_detect_and_decode(self):
img = cv.imread(os.path.join(self.extraTestDataPath, 'cv/qrcode/link_ocv.jpg'))
self.assertFalse(img is None)
detector = cv.QRCodeDetector()
retval, points, straight_qrcode = detector.detectAndDecode(img)
self.assertEqual(retval, "https://opencv.org/")
Reported by Pylint.
Line: 31
Column: 5
self.assertEqual(retval, "https://opencv.org/")
self.assertEqual(points.shape, (1, 4, 2))
def test_detect_multi(self):
img = cv.imread(os.path.join(self.extraTestDataPath, 'cv/qrcode/multiple/6_qrcodes.png'))
self.assertFalse(img is None)
detector = cv.QRCodeDetector()
retval, points = detector.detectMulti(img)
self.assertTrue(retval)
Reported by Pylint.
modules/java/test/android_test/src/org/opencv/test/OpenCVTestRunner.java
11 issues
Line: 53
}
};
public static String getTempFileName(String extension)
{
File cache = context.getCacheDir();
if (!extension.startsWith("."))
extension = "." + extension;
try {
Reported by PMD.
Line: 30
public static String LBPCASCADE_FRONTALFACE_PATH;
public static Context context;
private AndroidTestRunner androidTestRunner;
private static String TAG = "opencv_test_java";
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(getContext()) {
@Override
Reported by PMD.
Line: 30
public static String LBPCASCADE_FRONTALFACE_PATH;
public static Context context;
private AndroidTestRunner androidTestRunner;
private static String TAG = "opencv_test_java";
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(getContext()) {
@Override
Reported by PMD.
Line: 33
private AndroidTestRunner androidTestRunner;
private static String TAG = "opencv_test_java";
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(getContext()) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS:
Reported by PMD.
Line: 33
private AndroidTestRunner androidTestRunner;
private static String TAG = "opencv_test_java";
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(getContext()) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS:
Reported by PMD.
Line: 37
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS:
{
Log("OpenCV loaded successfully");
synchronized (this) {
notify();
Reported by PMD.
Line: 56
public static String getTempFileName(String extension)
{
File cache = context.getCacheDir();
if (!extension.startsWith("."))
extension = "." + extension;
try {
File tmp = File.createTempFile("OpenCV", extension, cache);
String path = tmp.getAbsolutePath();
tmp.delete();
Reported by PMD.
Line: 60
extension = "." + extension;
try {
File tmp = File.createTempFile("OpenCV", extension, cache);
String path = tmp.getAbsolutePath();
tmp.delete();
return path;
} catch (IOException e) {
Log("Failed to get temp file name. Exception is thrown: " + e);
}
Reported by PMD.
Line: 61
try {
File tmp = File.createTempFile("OpenCV", extension, cache);
String path = tmp.getAbsolutePath();
tmp.delete();
return path;
} catch (IOException e) {
Log("Failed to get temp file name. Exception is thrown: " + e);
}
return null;
Reported by PMD.
Line: 91
try {
wait(MANAGER_TIMEOUT);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
} else {
Log("OpenCV library found inside test package. Using it!");
}
Reported by PMD.
modules/java/generator/android/java/org/opencv/android/FpsMeter.java
11 issues
Line: 17
private static final int STEP = 20;
private static final DecimalFormat FPS_FORMAT = new DecimalFormat("0.00");
private int mFramesCounter;
private double mFrequency;
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
Reported by PMD.
Line: 18
private static final DecimalFormat FPS_FORMAT = new DecimalFormat("0.00");
private int mFramesCounter;
private double mFrequency;
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
Reported by PMD.
Line: 19
private int mFramesCounter;
private double mFrequency;
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
Reported by PMD.
Line: 20
private int mFramesCounter;
private double mFrequency;
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
Reported by PMD.
Line: 21
private double mFrequency;
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
public void init() {
Reported by PMD.
Line: 22
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
public void init() {
mFramesCounter = 0;
Reported by PMD.
Line: 22
private long mprevFrameTime;
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
public void init() {
mFramesCounter = 0;
Reported by PMD.
Line: 23
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
public void init() {
mFramesCounter = 0;
mFrequency = Core.getTickFrequency();
Reported by PMD.
Line: 23
private String mStrfps;
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
public void init() {
mFramesCounter = 0;
mFrequency = Core.getTickFrequency();
Reported by PMD.
Line: 24
Paint mPaint;
boolean mIsInitialized = false;
int mWidth = 0;
int mHeight = 0;
public void init() {
mFramesCounter = 0;
mFrequency = Core.getTickFrequency();
mprevFrameTime = Core.getTickCount();
Reported by PMD.
samples/python/gabor_threads.py
11 issues
Line: 21
Column: 1
from __future__ import print_function
import numpy as np
import cv2 as cv
from multiprocessing.pool import ThreadPool
def build_filters():
Reported by Pylint.
Line: 57
Column: 5
try:
img_fn = sys.argv[1]
except:
img_fn = 'baboon.jpg'
img = cv.imread(cv.samples.findFile(img_fn))
if img is None:
print('Failed to load image file:', img_fn)
Reported by Pylint.
Line: 8
Column: 1
=========
Sample demonstrates:
- use of multiple Gabor filter convolutions to get Fractalius-like image effect (http://www.redfieldplugins.com/filterFractalius.htm)
- use of python threading to accelerate the computation
Usage
-----
gabor_threads.py [image filename]
Reported by Pylint.
Line: 23
Column: 1
import numpy as np
import cv2 as cv
from multiprocessing.pool import ThreadPool
def build_filters():
filters = []
ksize = 31
Reported by Pylint.
Line: 26
Column: 1
from multiprocessing.pool import ThreadPool
def build_filters():
filters = []
ksize = 31
for theta in np.arange(0, np.pi, np.pi / 16):
kern = cv.getGaborKernel((ksize, ksize), 4.0, theta, 10.0, 0.5, 0, ktype=cv.CV_32F)
kern /= 1.5*kern.sum()
Reported by Pylint.
Line: 35
Column: 1
filters.append(kern)
return filters
def process(img, filters):
accum = np.zeros_like(img)
for kern in filters:
fimg = cv.filter2D(img, cv.CV_8UC3, kern)
np.maximum(accum, fimg, accum)
return accum
Reported by Pylint.
Line: 42
Column: 1
np.maximum(accum, fimg, accum)
return accum
def process_threaded(img, filters, threadn = 8):
accum = np.zeros_like(img)
def f(kern):
return cv.filter2D(img, cv.CV_8UC3, kern)
pool = ThreadPool(processes=threadn)
for fimg in pool.imap_unordered(f, filters):
Reported by Pylint.
Line: 44
Column: 5
def process_threaded(img, filters, threadn = 8):
accum = np.zeros_like(img)
def f(kern):
return cv.filter2D(img, cv.CV_8UC3, kern)
pool = ThreadPool(processes=threadn)
for fimg in pool.imap_unordered(f, filters):
np.maximum(accum, fimg, accum)
return accum
Reported by Pylint.
Line: 51
Column: 1
np.maximum(accum, fimg, accum)
return accum
def main():
import sys
from common import Timer
try:
img_fn = sys.argv[1]
Reported by Pylint.
Line: 52
Column: 5
return accum
def main():
import sys
from common import Timer
try:
img_fn = sys.argv[1]
except:
Reported by Pylint.
samples/java/tutorial_code/ImgTrans/LaPlace/LaplaceDemo.java
10 issues
Line: 31
// Check if image is loaded fine
if( src.empty() ) {
System.out.println("Error opening image");
System.out.println("Program Arguments: [image_name -- default ../data/lena.jpg] \n");
System.exit(-1);
}
//! [load]
Reported by PMD.
Line: 32
// Check if image is loaded fine
if( src.empty() ) {
System.out.println("Error opening image");
System.out.println("Program Arguments: [image_name -- default ../data/lena.jpg] \n");
System.exit(-1);
}
//! [load]
//! [reduce_noise]
Reported by PMD.
Line: 30
src = Imgcodecs.imread(imageName, Imgcodecs.IMREAD_COLOR); // Load an image
// Check if image is loaded fine
if( src.empty() ) {
System.out.println("Error opening image");
System.out.println("Program Arguments: [image_name -- default ../data/lena.jpg] \n");
System.exit(-1);
}
//! [load]
Reported by PMD.
Line: 33
if( src.empty() ) {
System.out.println("Error opening image");
System.out.println("Program Arguments: [image_name -- default ../data/lena.jpg] \n");
System.exit(-1);
}
//! [load]
//! [reduce_noise]
// Reduce noise by blurring with a Gaussian filter ( kernel size = 3 )
Reported by PMD.
Line: 63
HighGui.waitKey(0);
//! [display]
System.exit(0);
}
}
public class LaplaceDemo {
public static void main(String[] args) {
Reported by PMD.
Line: 67
}
}
public class LaplaceDemo {
public static void main(String[] args) {
// Load the native library.
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
new LaplaceDemoRun().run(args);
}
Reported by PMD.
Line: 6
* @brief Sample code showing how to detect edges using the Laplace operator
*/
import org.opencv.core.*;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class LaplaceDemoRun {
Reported by PMD.
Line: 13
class LaplaceDemoRun {
public void run(String[] args) {
//! [variables]
// Declare the variables we are going to use
Mat src, src_gray = new Mat(), dst = new Mat();
int kernel_size = 3;
int scale = 1;
Reported by PMD.
Line: 16
public void run(String[] args) {
//! [variables]
// Declare the variables we are going to use
Mat src, src_gray = new Mat(), dst = new Mat();
int kernel_size = 3;
int scale = 1;
int delta = 0;
int ddepth = CvType.CV_16S;
String window_name = "Laplace Demo";
Reported by PMD.
Line: 16
public void run(String[] args) {
//! [variables]
// Declare the variables we are going to use
Mat src, src_gray = new Mat(), dst = new Mat();
int kernel_size = 3;
int scale = 1;
int delta = 0;
int ddepth = CvType.CV_16S;
String window_name = "Laplace Demo";
Reported by PMD.
samples/python/tutorial_code/features2D/feature_homography/SURF_FLANN_matching_homography_Demo.py
10 issues
Line: 2
Column: 1
from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
parser = argparse.ArgumentParser(description='Code for Feature Matching with FLANN tutorial.')
parser.add_argument('--input1', help='Path to input image 1.', default='box.png')
parser.add_argument('--input2', help='Path to input image 2.', default='box_in_scene.png')
args = parser.parse_args()
Reported by Pylint.
Line: 1
Column: 1
from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
parser = argparse.ArgumentParser(description='Code for Feature Matching with FLANN tutorial.')
parser.add_argument('--input1', help='Path to input image 1.', default='box.png')
parser.add_argument('--input2', help='Path to input image 2.', default='box_in_scene.png')
args = parser.parse_args()
Reported by Pylint.
Line: 1
Column: 1
from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
parser = argparse.ArgumentParser(description='Code for Feature Matching with FLANN tutorial.')
parser.add_argument('--input1', help='Path to input image 1.', default='box.png')
parser.add_argument('--input2', help='Path to input image 2.', default='box_in_scene.png')
args = parser.parse_args()
Reported by Pylint.
Line: 4
Column: 1
from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
parser = argparse.ArgumentParser(description='Code for Feature Matching with FLANN tutorial.')
parser.add_argument('--input1', help='Path to input image 1.', default='box.png')
parser.add_argument('--input2', help='Path to input image 2.', default='box_in_scene.png')
args = parser.parse_args()
Reported by Pylint.
Line: 15
Column: 5
img_scene = cv.imread(cv.samples.findFile(args.input2), cv.IMREAD_GRAYSCALE)
if img_object is None or img_scene is None:
print('Could not open or find the images!')
exit(0)
#-- Step 1: Detect the keypoints using SURF Detector, compute the descriptors
minHessian = 400
detector = cv.xfeatures2d_SURF.create(hessianThreshold=minHessian)
keypoints_obj, descriptors_obj = detector.detectAndCompute(img_object, None)
Reported by Pylint.
Line: 18
Column: 1
exit(0)
#-- Step 1: Detect the keypoints using SURF Detector, compute the descriptors
minHessian = 400
detector = cv.xfeatures2d_SURF.create(hessianThreshold=minHessian)
keypoints_obj, descriptors_obj = detector.detectAndCompute(img_object, None)
keypoints_scene, descriptors_scene = detector.detectAndCompute(img_scene, None)
#-- Step 2: Matching descriptor vectors with a FLANN based matcher
Reported by Pylint.
Line: 29
Column: 1
knn_matches = matcher.knnMatch(descriptors_obj, descriptors_scene, 2)
#-- Filter matches using the Lowe's ratio test
ratio_thresh = 0.75
good_matches = []
for m,n in knn_matches:
if m.distance < ratio_thresh * n.distance:
good_matches.append(m)
Reported by Pylint.
Line: 36
Column: 1
good_matches.append(m)
#-- Draw matches
img_matches = np.empty((max(img_object.shape[0], img_scene.shape[0]), img_object.shape[1]+img_scene.shape[1], 3), dtype=np.uint8)
cv.drawMatches(img_object, keypoints_obj, img_scene, keypoints_scene, good_matches, img_matches, flags=cv.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)
#-- Localize the object
obj = np.empty((len(good_matches),2), dtype=np.float32)
scene = np.empty((len(good_matches),2), dtype=np.float32)
Reported by Pylint.
Line: 37
Column: 1
#-- Draw matches
img_matches = np.empty((max(img_object.shape[0], img_scene.shape[0]), img_object.shape[1]+img_scene.shape[1], 3), dtype=np.uint8)
cv.drawMatches(img_object, keypoints_obj, img_scene, keypoints_scene, good_matches, img_matches, flags=cv.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)
#-- Localize the object
obj = np.empty((len(good_matches),2), dtype=np.float32)
scene = np.empty((len(good_matches),2), dtype=np.float32)
for i in range(len(good_matches)):
Reported by Pylint.
Line: 42
Column: 1
#-- Localize the object
obj = np.empty((len(good_matches),2), dtype=np.float32)
scene = np.empty((len(good_matches),2), dtype=np.float32)
for i in range(len(good_matches)):
#-- Get the keypoints from the good matches
obj[i,0] = keypoints_obj[good_matches[i].queryIdx].pt[0]
obj[i,1] = keypoints_obj[good_matches[i].queryIdx].pt[1]
scene[i,0] = keypoints_scene[good_matches[i].trainIdx].pt[0]
scene[i,1] = keypoints_scene[good_matches[i].trainIdx].pt[1]
Reported by Pylint.
samples/dnn/dnn_model_runner/dnn_conversion/paddlepaddle/paddle_resnet50.py
10 issues
Line: 1
Column: 1
import paddle
import paddlehub as hub
import paddlehub.vision.transforms as T
import cv2 as cv
import numpy as np
def preprocess(image_path):
''' preprocess input image file to np.ndarray
Reported by Pylint.
Line: 2
Column: 1
import paddle
import paddlehub as hub
import paddlehub.vision.transforms as T
import cv2 as cv
import numpy as np
def preprocess(image_path):
''' preprocess input image file to np.ndarray
Reported by Pylint.
Line: 3
Column: 1
import paddle
import paddlehub as hub
import paddlehub.vision.transforms as T
import cv2 as cv
import numpy as np
def preprocess(image_path):
''' preprocess input image file to np.ndarray
Reported by Pylint.
Line: 4
Column: 1
import paddle
import paddlehub as hub
import paddlehub.vision.transforms as T
import cv2 as cv
import numpy as np
def preprocess(image_path):
''' preprocess input image file to np.ndarray
Reported by Pylint.
Line: 48
Column: 5
save_path = './resnet50'
image_file = './data/cat.jpg'
labels = open('./data/labels.txt').read().strip().split('\n')
model = export_onnx_mobilenetv2(save_path)
# load mobilenetv2 use cv.dnn
net = cv.dnn.readNetFromONNX(save_path + '.onnx')
# read and preprocess image file
im = preprocess(image_file)
Reported by Pylint.
Line: 27
Column: 29
return np.expand_dims(transforms(image_path), axis=0)
def export_onnx_mobilenetv2(save_path):
''' export PaddlePaddle model to ONNX format
Args:
save_path(str): Path to save exported ONNX model
Reported by Pylint.
Line: 36
Column: 5
Returns:
None
'''
model = hub.Module(name="resnet50_vd_imagenet_ssld")
input_spec = paddle.static.InputSpec(
[1, 3, 224, 224], "float32", "image")
paddle.onnx.export(model, save_path,
input_spec=[input_spec],
opset_version=10)
Reported by Pylint.
Line: 1
Column: 1
import paddle
import paddlehub as hub
import paddlehub.vision.transforms as T
import cv2 as cv
import numpy as np
def preprocess(image_path):
''' preprocess input image file to np.ndarray
Reported by Pylint.
Line: 45
Column: 5
if __name__ == '__main__':
save_path = './resnet50'
image_file = './data/cat.jpg'
labels = open('./data/labels.txt').read().strip().split('\n')
model = export_onnx_mobilenetv2(save_path)
# load mobilenetv2 use cv.dnn
Reported by Pylint.
Line: 46
Column: 5
if __name__ == '__main__':
save_path = './resnet50'
image_file = './data/cat.jpg'
labels = open('./data/labels.txt').read().strip().split('\n')
model = export_onnx_mobilenetv2(save_path)
# load mobilenetv2 use cv.dnn
net = cv.dnn.readNetFromONNX(save_path + '.onnx')
Reported by Pylint.
samples/dnn/dnn_model_runner/dnn_conversion/common/test/cls_model_test_pipeline.py
10 issues
Line: 1
Column: 1
from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module
class ClsModelTestPipeline(ModelTestPipeline):
def __init__(
self,
Reported by Pylint.
Line: 2
Column: 1
from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module
class ClsModelTestPipeline(ModelTestPipeline):
def __init__(
self,
Reported by Pylint.
Line: 3
Column: 1
from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module
class ClsModelTestPipeline(ModelTestPipeline):
def __init__(
self,
Reported by Pylint.
Line: 4
Column: 1
from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module
class ClsModelTestPipeline(ModelTestPipeline):
def __init__(
self,
Reported by Pylint.
Line: 56
Column: 9
))
def _configure_acc_eval(self, log_path):
self._accuracy_evaluator = ClsAccEvaluation(
log_path,
self.test_config.img_cls_file,
self.test_config.batch_size
)
Reported by Pylint.
Line: 1
Column: 1
from .configs.test_config import TestClsConfig, TestClsModuleConfig
from .model_test_pipeline import ModelTestPipeline
from ..evaluation.classification.cls_accuracy_evaluator import ClsAccEvaluation
from ..utils import get_test_module
class ClsModelTestPipeline(ModelTestPipeline):
def __init__(
self,
Reported by Pylint.
Line: 7
Column: 1
from ..utils import get_test_module
class ClsModelTestPipeline(ModelTestPipeline):
def __init__(
self,
network_model,
model_processor,
dnn_model_processor,
Reported by Pylint.
Line: 7
Column: 1
from ..utils import get_test_module
class ClsModelTestPipeline(ModelTestPipeline):
def __init__(
self,
network_model,
model_processor,
dnn_model_processor,
Reported by Pylint.
Line: 8
Column: 5
class ClsModelTestPipeline(ModelTestPipeline):
def __init__(
self,
network_model,
model_processor,
dnn_model_processor,
data_fetcher,
Reported by Pylint.
Line: 18
Column: 9
cls_args_parser=None,
default_input_blob_preproc=None
):
super(ClsModelTestPipeline, self).__init__(
network_model,
model_processor,
dnn_model_processor
)
Reported by Pylint.
samples/android/tutorial-1-camerapreview/src/org/opencv/samples/tutorial1/Tutorial1Activity.java
10 issues
Line: 24
public class Tutorial1Activity extends CameraActivity implements CvCameraViewListener2 {
private static final String TAG = "OCVSample::Activity";
private CameraBridgeViewBase mOpenCvCameraView;
private boolean mIsJavaCamera = true;
private MenuItem mItemSwitchCamera = null;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
Reported by PMD.
Line: 25
private static final String TAG = "OCVSample::Activity";
private CameraBridgeViewBase mOpenCvCameraView;
private boolean mIsJavaCamera = true;
private MenuItem mItemSwitchCamera = null;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
Reported by PMD.
Line: 25
private static final String TAG = "OCVSample::Activity";
private CameraBridgeViewBase mOpenCvCameraView;
private boolean mIsJavaCamera = true;
private MenuItem mItemSwitchCamera = null;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
Reported by PMD.
Line: 26
private CameraBridgeViewBase mOpenCvCameraView;
private boolean mIsJavaCamera = true;
private MenuItem mItemSwitchCamera = null;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
Reported by PMD.
Line: 26
private CameraBridgeViewBase mOpenCvCameraView;
private boolean mIsJavaCamera = true;
private MenuItem mItemSwitchCamera = null;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
Reported by PMD.
Line: 26
private CameraBridgeViewBase mOpenCvCameraView;
private boolean mIsJavaCamera = true;
private MenuItem mItemSwitchCamera = null;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
Reported by PMD.
Line: 28
private boolean mIsJavaCamera = true;
private MenuItem mItemSwitchCamera = null;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS:
{
Reported by PMD.
Line: 28
private boolean mIsJavaCamera = true;
private MenuItem mItemSwitchCamera = null;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS:
{
Reported by PMD.
Line: 31
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: 54
public void onCreate(Bundle savedInstanceState) {
Log.i(TAG, "called onCreate");
super.onCreate(savedInstanceState);
getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
setContentView(R.layout.tutorial1_surface_view);
mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.tutorial1_activity_java_surface_view);
Reported by PMD.