Book a Demo!
CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutPoliciesSign UpSign In
Tetragramm
GitHub Repository: Tetragramm/opencv
Path: blob/master/samples/gpu/optical_flow.cpp
16337 views
1
#include <iostream>
2
#include <fstream>
3
4
#include "opencv2/core.hpp"
5
#include <opencv2/core/utility.hpp>
6
#include "opencv2/highgui.hpp"
7
#include "opencv2/cudaoptflow.hpp"
8
#include "opencv2/cudaarithm.hpp"
9
10
using namespace std;
11
using namespace cv;
12
using namespace cv::cuda;
13
14
inline bool isFlowCorrect(Point2f u)
15
{
16
return !cvIsNaN(u.x) && !cvIsNaN(u.y) && fabs(u.x) < 1e9 && fabs(u.y) < 1e9;
17
}
18
19
static Vec3b computeColor(float fx, float fy)
20
{
21
static bool first = true;
22
23
// relative lengths of color transitions:
24
// these are chosen based on perceptual similarity
25
// (e.g. one can distinguish more shades between red and yellow
26
// than between yellow and green)
27
const int RY = 15;
28
const int YG = 6;
29
const int GC = 4;
30
const int CB = 11;
31
const int BM = 13;
32
const int MR = 6;
33
const int NCOLS = RY + YG + GC + CB + BM + MR;
34
static Vec3i colorWheel[NCOLS];
35
36
if (first)
37
{
38
int k = 0;
39
40
for (int i = 0; i < RY; ++i, ++k)
41
colorWheel[k] = Vec3i(255, 255 * i / RY, 0);
42
43
for (int i = 0; i < YG; ++i, ++k)
44
colorWheel[k] = Vec3i(255 - 255 * i / YG, 255, 0);
45
46
for (int i = 0; i < GC; ++i, ++k)
47
colorWheel[k] = Vec3i(0, 255, 255 * i / GC);
48
49
for (int i = 0; i < CB; ++i, ++k)
50
colorWheel[k] = Vec3i(0, 255 - 255 * i / CB, 255);
51
52
for (int i = 0; i < BM; ++i, ++k)
53
colorWheel[k] = Vec3i(255 * i / BM, 0, 255);
54
55
for (int i = 0; i < MR; ++i, ++k)
56
colorWheel[k] = Vec3i(255, 0, 255 - 255 * i / MR);
57
58
first = false;
59
}
60
61
const float rad = sqrt(fx * fx + fy * fy);
62
const float a = atan2(-fy, -fx) / (float) CV_PI;
63
64
const float fk = (a + 1.0f) / 2.0f * (NCOLS - 1);
65
const int k0 = static_cast<int>(fk);
66
const int k1 = (k0 + 1) % NCOLS;
67
const float f = fk - k0;
68
69
Vec3b pix;
70
71
for (int b = 0; b < 3; b++)
72
{
73
const float col0 = colorWheel[k0][b] / 255.0f;
74
const float col1 = colorWheel[k1][b] / 255.0f;
75
76
float col = (1 - f) * col0 + f * col1;
77
78
if (rad <= 1)
79
col = 1 - rad * (1 - col); // increase saturation with radius
80
else
81
col *= .75; // out of range
82
83
pix[2 - b] = static_cast<uchar>(255.0 * col);
84
}
85
86
return pix;
87
}
88
89
static void drawOpticalFlow(const Mat_<float>& flowx, const Mat_<float>& flowy, Mat& dst, float maxmotion = -1)
90
{
91
dst.create(flowx.size(), CV_8UC3);
92
dst.setTo(Scalar::all(0));
93
94
// determine motion range:
95
float maxrad = maxmotion;
96
97
if (maxmotion <= 0)
98
{
99
maxrad = 1;
100
for (int y = 0; y < flowx.rows; ++y)
101
{
102
for (int x = 0; x < flowx.cols; ++x)
103
{
104
Point2f u(flowx(y, x), flowy(y, x));
105
106
if (!isFlowCorrect(u))
107
continue;
108
109
maxrad = max(maxrad, sqrt(u.x * u.x + u.y * u.y));
110
}
111
}
112
}
113
114
for (int y = 0; y < flowx.rows; ++y)
115
{
116
for (int x = 0; x < flowx.cols; ++x)
117
{
118
Point2f u(flowx(y, x), flowy(y, x));
119
120
if (isFlowCorrect(u))
121
dst.at<Vec3b>(y, x) = computeColor(u.x / maxrad, u.y / maxrad);
122
}
123
}
124
}
125
126
static void showFlow(const char* name, const GpuMat& d_flow)
127
{
128
GpuMat planes[2];
129
cuda::split(d_flow, planes);
130
131
Mat flowx(planes[0]);
132
Mat flowy(planes[1]);
133
134
Mat out;
135
drawOpticalFlow(flowx, flowy, out, 10);
136
137
imshow(name, out);
138
}
139
140
int main(int argc, const char* argv[])
141
{
142
string filename1, filename2;
143
if (argc < 3)
144
{
145
cerr << "Usage : " << argv[0] << " <frame0> <frame1>" << endl;
146
filename1 = "../data/basketball1.png";
147
filename2 = "../data/basketball2.png";
148
}
149
else
150
{
151
filename1 = argv[1];
152
filename2 = argv[2];
153
}
154
155
Mat frame0 = imread(filename1, IMREAD_GRAYSCALE);
156
Mat frame1 = imread(filename2, IMREAD_GRAYSCALE);
157
158
if (frame0.empty())
159
{
160
cerr << "Can't open image [" << filename1 << "]" << endl;
161
return -1;
162
}
163
if (frame1.empty())
164
{
165
cerr << "Can't open image [" << filename2 << "]" << endl;
166
return -1;
167
}
168
169
if (frame1.size() != frame0.size())
170
{
171
cerr << "Images should be of equal sizes" << endl;
172
return -1;
173
}
174
175
GpuMat d_frame0(frame0);
176
GpuMat d_frame1(frame1);
177
178
GpuMat d_flow(frame0.size(), CV_32FC2);
179
180
Ptr<cuda::BroxOpticalFlow> brox = cuda::BroxOpticalFlow::create(0.197f, 50.0f, 0.8f, 10, 77, 10);
181
Ptr<cuda::DensePyrLKOpticalFlow> lk = cuda::DensePyrLKOpticalFlow::create(Size(7, 7));
182
Ptr<cuda::FarnebackOpticalFlow> farn = cuda::FarnebackOpticalFlow::create();
183
Ptr<cuda::OpticalFlowDual_TVL1> tvl1 = cuda::OpticalFlowDual_TVL1::create();
184
185
{
186
GpuMat d_frame0f;
187
GpuMat d_frame1f;
188
189
d_frame0.convertTo(d_frame0f, CV_32F, 1.0 / 255.0);
190
d_frame1.convertTo(d_frame1f, CV_32F, 1.0 / 255.0);
191
192
const int64 start = getTickCount();
193
194
brox->calc(d_frame0f, d_frame1f, d_flow);
195
196
const double timeSec = (getTickCount() - start) / getTickFrequency();
197
cout << "Brox : " << timeSec << " sec" << endl;
198
199
showFlow("Brox", d_flow);
200
}
201
202
{
203
const int64 start = getTickCount();
204
205
lk->calc(d_frame0, d_frame1, d_flow);
206
207
const double timeSec = (getTickCount() - start) / getTickFrequency();
208
cout << "LK : " << timeSec << " sec" << endl;
209
210
showFlow("LK", d_flow);
211
}
212
213
{
214
const int64 start = getTickCount();
215
216
farn->calc(d_frame0, d_frame1, d_flow);
217
218
const double timeSec = (getTickCount() - start) / getTickFrequency();
219
cout << "Farn : " << timeSec << " sec" << endl;
220
221
showFlow("Farn", d_flow);
222
}
223
224
{
225
const int64 start = getTickCount();
226
227
tvl1->calc(d_frame0, d_frame1, d_flow);
228
229
const double timeSec = (getTickCount() - start) / getTickFrequency();
230
cout << "TVL1 : " << timeSec << " sec" << endl;
231
232
showFlow("TVL1", d_flow);
233
}
234
235
imshow("Frame 0", frame0);
236
imshow("Frame 1", frame1);
237
waitKey();
238
239
return 0;
240
}
241
242