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
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
#include <iostream>
#include <iomanip>
#include <string>
#include "opencv2/core.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/contrib.hpp"
#include "opencv2/superres.hpp"
#include "opencv2/superres/optical_flow.hpp"
using namespace std;
using namespace cv;
using namespace cv::superres;
#define MEASURE_TIME(op) \
{ \
TickMeter tm; \
tm.start(); \
op; \
tm.stop(); \
cout << tm.getTimeSec() << " sec" << endl; \
}
static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name, bool useGpu)
{
if (name == "farneback")
{
if (useGpu)
return createOptFlow_Farneback_GPU();
else
return createOptFlow_Farneback();
}
else if (name == "simple")
return createOptFlow_Simple();
else if (name == "tvl1")
{
if (useGpu)
return createOptFlow_DualTVL1_GPU();
else
return createOptFlow_DualTVL1();
}
else if (name == "brox")
return createOptFlow_Brox_GPU();
else if (name == "pyrlk")
return createOptFlow_PyrLK_GPU();
else
{
cerr << "Incorrect Optical Flow algorithm - " << name << endl;
}
return 0;
}
int main(int argc, const char* argv[])
{
CommandLineParser cmd(argc, argv,
"{ v video | | Input video }"
"{ o output | | Output video }"
"{ s scale | 4 | Scale factor }"
"{ i iterations | 180 | Iteration count }"
"{ t temporal | 4 | Radius of the temporal search area }"
"{ f flow | farneback | Optical flow algorithm (farneback, simple, tvl1, brox, pyrlk) }"
"{ gpu | false | Use GPU }"
"{ h help | false | Print help message }"
);
if (cmd.get<bool>("help"))
{
cout << "This sample demonstrates Super Resolution algorithms for video sequence" << endl;
cmd.printMessage();
return 0;
}
const string inputVideoName = cmd.get<string>("video");
const string outputVideoName = cmd.get<string>("output");
const int scale = cmd.get<int>("scale");
const int iterations = cmd.get<int>("iterations");
const int temporalAreaRadius = cmd.get<int>("temporal");
const string optFlow = cmd.get<string>("flow");
const bool useGpu = cmd.get<bool>("gpu");
Ptr<SuperResolution> superRes;
if (useGpu)
superRes = createSuperResolution_BTVL1_GPU();
else
superRes = createSuperResolution_BTVL1();
superRes->set("scale", scale);
superRes->set("iterations", iterations);
superRes->set("temporalAreaRadius", temporalAreaRadius);
Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow, useGpu);
if (of.empty())
exit(-1);
superRes->set("opticalFlow", of);
Ptr<FrameSource> frameSource;
if (useGpu)
{
// Try to use gpu Video Decoding
try
{
frameSource = createFrameSource_Video_GPU(inputVideoName);
Mat frame;
frameSource->nextFrame(frame);
}
catch (const cv::Exception&)
{
frameSource.release();
}
}
if (frameSource.empty())
frameSource = createFrameSource_Video(inputVideoName);
// skip first frame, it is usually corrupted
{
Mat frame;
frameSource->nextFrame(frame);
cout << "Input : " << inputVideoName << " " << frame.size() << endl;
cout << "Scale factor : " << scale << endl;
cout << "Iterations : " << iterations << endl;
cout << "Temporal radius : " << temporalAreaRadius << endl;
cout << "Optical Flow : " << optFlow << endl;
cout << "Mode : " << (useGpu ? "GPU" : "CPU") << endl;
}
superRes->setInput(frameSource);
VideoWriter writer;
for (int i = 0;; ++i)
{
cout << '[' << setw(3) << i << "] : ";
Mat result;
MEASURE_TIME(superRes->nextFrame(result));
if (result.empty())
break;
imshow("Super Resolution", result);
if (waitKey(1000) > 0)
break;
if (!outputVideoName.empty())
{
if (!writer.isOpened())
writer.open(outputVideoName, VideoWriter::fourcc('X', 'V', 'I', 'D'), 25.0, result.size());
writer << result;
}
}
return 0;
}