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Update samples

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This commit is contained in:
Suleyman TURKMEN 2019-08-20 00:40:45 +03:00 committed by sturkmen72
parent 19a4b51371
commit 2d2330382d
3 changed files with 14 additions and 35 deletions
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23
samples/cpp/dis_opticalflow.cpp
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@ -2,30 +2,24 @@
#include "opencv2/core/utility.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/video.hpp"
using namespace std;
using namespace cv;
static void help()
{
printf("Usage: dis_optflow <video_file>\n");
}
int main(int argc, char **argv)
{
CommandLineParser parser(argc, argv, "{ @video | vtest.avi | use video as input }");
string filename = samples::findFileOrKeep(parser.get<string>("@video"));
VideoCapture cap;
cap.open(filename);
if (argc < 2)
{
help();
exit(1);
}
cap.open(argv[1]);
if(!cap.isOpened())
{
printf("ERROR: Cannot open file %s\n", argv[1]);
printf("ERROR: Cannot open file %s\n", filename.c_str());
parser.printMessage();
return -1;
}
@ -35,9 +29,6 @@ int main(int argc, char **argv)
Mat hsv_split[3], hsv;
char ret;
namedWindow("flow", 1);
namedWindow("orig", 1);
Ptr<DenseOpticalFlow> algorithm = DISOpticalFlow::create(DISOpticalFlow::PRESET_MEDIUM);
while(true)

24
samples/cpp/ela.cpp
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@ -5,13 +5,8 @@
@date Jun 24, 2018
*/
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
#include <vector>
const char* keys =
"{ help h | | Print help message. }"
"{ input i | | Input image to calc ELA algorithm. }";
using namespace cv;
@ -48,20 +43,13 @@ static void processImage(int , void*)
int main (int argc, char* argv[])
{
CommandLineParser parser(argc, argv, "{ input i | ela_modified.jpg | Input image to calculate ELA algorithm. }");
parser.about("\nJpeg Recompression Example:\n");
parser.printMessage();
CommandLineParser parser(argc, argv, keys);
if(argc == 1 || parser.has("help"))
{
parser.printMessage();
std::cout << "\nJpeg Recompression Example:\n\t" << argv[0] << " --input=../../data/ela_modified.jpg\n";
return 0;
}
// Read the new image
image = imread(samples::findFile(parser.get<String>("input")));
if(parser.has("input"))
{
// Read the new image
image = imread(parser.get<String>("input"));
}
// Check image
if (!image.empty())
{

2
samples/python/squares.py
View File

@ -32,7 +32,7 @@ def find_squares(img):
bin = cv.dilate(bin, None)
else:
_retval, bin = cv.threshold(gray, thrs, 255, cv.THRESH_BINARY)
bin, contours, _hierarchy = cv.findContours(bin, cv.RETR_LIST, cv.CHAIN_APPROX_SIMPLE)
contours, _hierarchy = cv.findContours(bin, cv.RETR_LIST, cv.CHAIN_APPROX_SIMPLE)
for cnt in contours:
cnt_len = cv.arcLength(cnt, True)
cnt = cv.approxPolyDP(cnt, 0.02*cnt_len, True)