-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathmain_test.cpp
80 lines (68 loc) · 2.13 KB
/
main_test.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
#include <opencv2/opencv.hpp>
#include <stdio.h>
#include <sys/types.h>
#include <sys/stat.h>
#include "guided_filter.h"
int main(int argc, char** argv)
{
if (argc != 2 and argc != 3)
{
printf("usage: GuidedFilter <Input_Image_Path> [<Guide_Image_Path>] \n");
return -1;
}
int radius = 3;
float epsilon = 0.1;
cv::Mat inputImage;
inputImage = cv::imread(argv[1], 1);
if (!inputImage.data)
{
printf("No input image data \n");
return -1;
}
// convert to gray
// cv::cvtColor(inputImage, inputImage, cv::COLOR_BGR2GRAY);
cv::Mat guideImage;
if (2 == argc)
{
guideImage = inputImage.clone();
// cv::cvtColor(inputImage, guideImage, cv::COLOR_BGR2GRAY);
}
else
{
assert(3 == argc);
guideImage = cv::imread(argv[2], 1);
if (!guideImage.data)
{
printf("No guide image data \n");
return -1;
}
}
int inputChannels = inputImage.channels();
int guideChannels = guideImage.channels();
// valid settings:
// guide vs. input
// 1 1 (e.g. gray self-guided smoothing)
// 3 1 (e.g. alpha matting mask refine)
// 1 3
// 3 3 (e.g. color self-guided smoothing)
assert(3 == guideChannels or 1 == guideChannels);
std::cout << "input channel: " << inputChannels << " , guide channel: " << guideChannels << std::endl;
cv::Mat outputImage;
if (3 == guideChannels)
{
outputImage = guidedFilterColor(inputImage, guideImage, radius, epsilon);
}
else
{
outputImage = guidedFilterGray(inputImage, guideImage, radius, epsilon);
}
// cv::namedWindow("Original Image", cv::WINDOW_AUTOSIZE);
// cv::imshow("Original Image", inputImage);
// cv::namedWindow("Filtered Image", cv::WINDOW_AUTOSIZE);
// cv::imshow("Filtered Image", outputImage);
// cv::waitKey(-1);
mkdir("./result_dir", 0777);
cv::imwrite("./result_dir/inputImage.jpg", inputImage);
cv::imwrite("./result_dir/outputImage.jpg", outputImage);
return 0;
}