I am converting laplace.cpp file present in samples/cpp to python code but the output that i am getting from python code is different from c++ output. Here is the code for c++:
#include "opencv2/videoio.hpp"
include "opencv2/highgui.hpp"
include "opencv2/imgproc.hpp"
include <ctype.h>
include <stdio.h>
include <iostream>
using namespace cv; using namespace std;
static void help() { cout << "\nThis program demonstrates Laplace point/edge detection using OpenCV function Laplacian()\n" "It captures from the camera of your choice: 0, 1, ... default 0\n" "Call:\n" "./laplace -c=<camera #,="" default="" 0=""> -p=<index of="" the="" frame="" to="" be="" decoded="" captured="" next="">\n" << endl; }
enum {GAUSSIAN, BLUR, MEDIAN};
int sigma = 3; int smoothType = GAUSSIAN;
int main( int argc, char** argv ) { cv::CommandLineParser parser(argc, argv, "{ c | 0 | }{ p | | }"); help();
VideoCapture cap;
string camera = parser.get<string>("c");
if (camera.size() == 1 && isdigit(camera[0]))
cap.open(parser.get<int>("c"));
else
cap.open(samples::findFileOrKeep(camera));
if (!cap.isOpened())
{
cerr << "Can't open camera/video stream: " << camera << endl;
return 1;
}
cout << "Video " << parser.get<string>("c") <<
": width=" << cap.get(CAP_PROP_FRAME_WIDTH) <<
", height=" << cap.get(CAP_PROP_FRAME_HEIGHT) <<
", nframes=" << cap.get(CAP_PROP_FRAME_COUNT) << endl;
int pos = 0;
if (parser.has("p"))
{
pos = parser.get<int>("p");
}
if (!parser.check())
{
parser.printErrors();
return -1;
}
if (pos != 0)
{
cout << "seeking to frame #" << pos << endl;
if (!cap.set(CAP_PROP_POS_FRAMES, pos))
{
cerr << "ERROR: seekeing is not supported" << endl;
}
}
namedWindow("Laplacian", WINDOW_AUTOSIZE);
createTrackbar("Sigma", "Laplacian", &sigma, 15, 0);
Mat smoothed, laplace, result;
for(;;)
{
Mat frame;
cap >> frame;
if( frame.empty() )
break;
int ksize = (sigma*5)|1;
if(smoothType == GAUSSIAN)
GaussianBlur(frame, smoothed, Size(ksize, ksize), sigma, sigma);
else if(smoothType == BLUR)
blur(frame, smoothed, Size(ksize, ksize));
else
medianBlur(frame, smoothed, ksize);
Laplacian(smoothed, laplace, CV_16S, 5);
convertScaleAbs(laplace, result, (sigma+1)*0.25);
imshow("Laplacian", result);
char c = (char)waitKey(30);
if( c == ' ' )
smoothType = smoothType == GAUSSIAN ? BLUR : smoothType == BLUR ? MEDIAN : GAUSSIAN;
if( c == 'q' || c == 'Q' || c == 27 )
break;
}
return 0;
}
Code for python: from __future__ import print_function
import numpy as np
import cv2 as cv
import sys
if __name__ == "__main__":
print(__doc__)
ddepth = cv.CV_16S
sigma = 3
cap=cv.VideoCapture(0)
cv.namedWindow("Laplace of Image", cv.WINDOW_AUTOSIZE)
cv.createTrackbar("Kernel Size Bar", "Laplace of Image", sigma, 15, lambda x:x)
while(1):
sigma = cv.getTrackbarPos("Kernel Size Bar", "Laplace of Image")
ksize = (sigma*5)|1
ret, frame = cap.read()
if ret == False:
continue
src = cv.GaussianBlur(frame, (ksize, ksize), sigma, sigma)
dst = cv.Laplacian(src, ddepth, 5)
abs_dst = cv.convertScaleAbs(dst, (sigma+1)*0.25)
cv.imshow("Laplace of Image", abs_dst)
k = cv.waitKey(30) & 0xFF
if k == 27:
break
cv.destroyAllWindows()
