api_ref_snippets.cpp
7.51 KB
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
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/gapi.hpp>
#include <opencv2/gapi/core.hpp>
#include <opencv2/gapi/imgproc.hpp>
#include <opencv2/gapi/s11n.hpp>
#include <opencv2/gapi/garg.hpp>
#include <opencv2/gapi/gcommon.hpp>
#include <opencv2/gapi/cpu/gcpukernel.hpp>
#include <opencv2/gapi/fluid/core.hpp>
#include <opencv2/gapi/fluid/imgproc.hpp>
static void gscalar_example()
{
//! [gscalar_implicit]
cv::GMat a;
cv::GMat b = a + 1;
//! [gscalar_implicit]
}
static void typed_example()
{
const cv::Size sz(32, 32);
cv::Mat
in_mat1 (sz, CV_8UC1),
in_mat2 (sz, CV_8UC1),
out_mat_untyped(sz, CV_8UC1),
out_mat_typed1 (sz, CV_8UC1),
out_mat_typed2 (sz, CV_8UC1);
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
//! [Untyped_Example]
// Untyped G-API ///////////////////////////////////////////////////////////
cv::GComputation cvtU([]()
{
cv::GMat in1, in2;
cv::GMat out = cv::gapi::add(in1, in2);
return cv::GComputation({in1, in2}, {out});
});
std::vector<cv::Mat> u_ins = {in_mat1, in_mat2};
std::vector<cv::Mat> u_outs = {out_mat_untyped};
cvtU.apply(u_ins, u_outs);
//! [Untyped_Example]
//! [Typed_Example]
// Typed G-API /////////////////////////////////////////////////////////////
cv::GComputationT<cv::GMat (cv::GMat, cv::GMat)> cvtT([](cv::GMat m1, cv::GMat m2)
{
return m1+m2;
});
cvtT.apply(in_mat1, in_mat2, out_mat_typed1);
auto cvtTC = cvtT.compile(cv::descr_of(in_mat1), cv::descr_of(in_mat2));
cvtTC(in_mat1, in_mat2, out_mat_typed2);
//! [Typed_Example]
}
static void bind_serialization_example()
{
// ! [bind after deserialization]
cv::GCompiled compd;
std::vector<char> bytes;
auto graph = cv::gapi::deserialize<cv::GComputation>(bytes);
auto meta = cv::gapi::deserialize<cv::GMetaArgs>(bytes);
compd = graph.compile(std::move(meta), cv::compile_args());
auto in_args = cv::gapi::deserialize<cv::GRunArgs>(bytes);
auto out_args = cv::gapi::deserialize<cv::GRunArgs>(bytes);
compd(std::move(in_args), cv::gapi::bind(out_args));
// ! [bind after deserialization]
}
static void bind_deserialization_example()
{
// ! [bind before serialization]
std::vector<cv::GRunArgP> graph_outs;
cv::GRunArgs out_args;
for (auto &&out : graph_outs) {
out_args.emplace_back(cv::gapi::bind(out));
}
const auto sargsout = cv::gapi::serialize(out_args);
// ! [bind before serialization]
}
struct SimpleCustomType {
bool val;
bool operator==(const SimpleCustomType& other) const {
return val == other.val;
}
};
struct SimpleCustomType2 {
int val;
std::string name;
std::vector<float> vec;
std::map<int, uint64_t> mmap;
bool operator==(const SimpleCustomType2& other) const {
return val == other.val && name == other.name &&
vec == other.vec && mmap == other.mmap;
}
};
// ! [S11N usage]
namespace cv {
namespace gapi {
namespace s11n {
namespace detail {
template<> struct S11N<SimpleCustomType> {
static void serialize(IOStream &os, const SimpleCustomType &p) {
os << p.val;
}
static SimpleCustomType deserialize(IIStream &is) {
SimpleCustomType p;
is >> p.val;
return p;
}
};
template<> struct S11N<SimpleCustomType2> {
static void serialize(IOStream &os, const SimpleCustomType2 &p) {
os << p.val << p.name << p.vec << p.mmap;
}
static SimpleCustomType2 deserialize(IIStream &is) {
SimpleCustomType2 p;
is >> p.val >> p.name >> p.vec >> p.mmap;
return p;
}
};
} // namespace detail
} // namespace s11n
} // namespace gapi
} // namespace cv
// ! [S11N usage]
namespace cv {
namespace detail {
template<> struct CompileArgTag<SimpleCustomType> {
static const char* tag() {
return "org.opencv.test.simple_custom_type";
}
};
template<> struct CompileArgTag<SimpleCustomType2> {
static const char* tag() {
return "org.opencv.test.simple_custom_type_2";
}
};
} // namespace detail
} // namespace cv
static void s11n_example()
{
SimpleCustomType customVar1 { false };
SimpleCustomType2 customVar2 { 1248, "World", {1280, 720, 640, 480},
{ {5, 32434142342}, {7, 34242432} } };
std::vector<char> sArgs = cv::gapi::serialize(
cv::compile_args(customVar1, customVar2));
cv::GCompileArgs dArgs = cv::gapi::deserialize<cv::GCompileArgs,
SimpleCustomType,
SimpleCustomType2>(sArgs);
SimpleCustomType dCustomVar1 = cv::gapi::getCompileArg<SimpleCustomType>(dArgs).value();
SimpleCustomType2 dCustomVar2 = cv::gapi::getCompileArg<SimpleCustomType2>(dArgs).value();
(void) dCustomVar1;
(void) dCustomVar2;
}
G_TYPED_KERNEL(IAdd, <cv::GMat(cv::GMat)>, "test.custom.add") {
static cv::GMatDesc outMeta(const cv::GMatDesc &in) { return in; }
};
G_TYPED_KERNEL(IFilter2D, <cv::GMat(cv::GMat)>, "test.custom.filter2d") {
static cv::GMatDesc outMeta(const cv::GMatDesc &in) { return in; }
};
G_TYPED_KERNEL(IRGB2YUV, <cv::GMat(cv::GMat)>, "test.custom.add") {
static cv::GMatDesc outMeta(const cv::GMatDesc &in) { return in; }
};
GAPI_OCV_KERNEL(CustomAdd, IAdd) { static void run(cv::Mat, cv::Mat &) {} };
GAPI_OCV_KERNEL(CustomFilter2D, IFilter2D) { static void run(cv::Mat, cv::Mat &) {} };
GAPI_OCV_KERNEL(CustomRGB2YUV, IRGB2YUV) { static void run(cv::Mat, cv::Mat &) {} };
int main(int argc, char *argv[])
{
if (argc < 3)
return -1;
cv::Mat input = cv::imread(argv[1]);
cv::Mat output;
{
//! [graph_def]
cv::GMat in;
cv::GMat gx = cv::gapi::Sobel(in, CV_32F, 1, 0);
cv::GMat gy = cv::gapi::Sobel(in, CV_32F, 0, 1);
cv::GMat g = cv::gapi::sqrt(cv::gapi::mul(gx, gx) + cv::gapi::mul(gy, gy));
cv::GMat out = cv::gapi::convertTo(g, CV_8U);
//! [graph_def]
//! [graph_decl_apply]
//! [graph_cap_full]
cv::GComputation sobelEdge(cv::GIn(in), cv::GOut(out));
//! [graph_cap_full]
sobelEdge.apply(input, output);
//! [graph_decl_apply]
//! [apply_with_param]
cv::gapi::GKernelPackage kernels = cv::gapi::combine
(cv::gapi::core::fluid::kernels(),
cv::gapi::imgproc::fluid::kernels());
sobelEdge.apply(input, output, cv::compile_args(kernels));
//! [apply_with_param]
//! [graph_cap_sub]
cv::GComputation sobelEdgeSub(cv::GIn(gx, gy), cv::GOut(out));
//! [graph_cap_sub]
}
//! [graph_gen]
cv::GComputation sobelEdgeGen([](){
cv::GMat in;
cv::GMat gx = cv::gapi::Sobel(in, CV_32F, 1, 0);
cv::GMat gy = cv::gapi::Sobel(in, CV_32F, 0, 1);
cv::GMat g = cv::gapi::sqrt(cv::gapi::mul(gx, gx) + cv::gapi::mul(gy, gy));
cv::GMat out = cv::gapi::convertTo(g, CV_8U);
return cv::GComputation(in, out);
});
//! [graph_gen]
cv::imwrite(argv[2], output);
//! [kernels_snippet]
cv::gapi::GKernelPackage pkg = cv::gapi::kernels
< CustomAdd
, CustomFilter2D
, CustomRGB2YUV
>();
//! [kernels_snippet]
// Just call typed example with no input/output - avoid warnings about
// unused functions
typed_example();
gscalar_example();
bind_serialization_example();
bind_deserialization_example();
s11n_example();
return 0;
}