Open Source Computer Vision Library https://opencv.org/
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/*
// Sample demonstrating interoperability of OpenCV UMat with Direct X surface
// Base class for Direct X application
*/
#include <string>
#include <iostream>
#include <queue>
#include "opencv2/core.hpp"
#include "opencv2/core/directx.hpp"
#include "opencv2/core/ocl.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include "winapp.hpp"
#define SAFE_RELEASE(p) if (p) { p->Release(); p = NULL; }
class Timer
{
public:
enum UNITS
{
USEC = 0,
MSEC,
SEC
};
Timer() : m_t0(0), m_diff(0)
{
m_tick_frequency = (float)cv::getTickFrequency();
m_unit_mul[USEC] = 1000000;
m_unit_mul[MSEC] = 1000;
m_unit_mul[SEC] = 1;
}
void start()
{
m_t0 = cv::getTickCount();
}
void stop()
{
m_diff = cv::getTickCount() - m_t0;
}
float time(UNITS u = UNITS::MSEC)
{
float sec = m_diff / m_tick_frequency;
return sec * m_unit_mul[u];
}
public:
float m_tick_frequency;
int64 m_t0;
int64 m_diff;
int m_unit_mul[3];
};
class D3DSample : public WinApp
{
public:
enum MODE
{
MODE_CPU,
MODE_GPU_RGBA,
MODE_GPU_NV12
};
D3DSample(int width, int height, std::string& window_name, cv::VideoCapture& cap) :
WinApp(width, height, window_name)
{
m_shutdown = false;
m_mode = MODE_CPU;
m_modeStr[0] = cv::String("Processing on CPU");
m_modeStr[1] = cv::String("Processing on GPU RGBA");
m_modeStr[2] = cv::String("Processing on GPU NV12");
m_demo_processing = false;
m_cap = cap;
}
~D3DSample() {}
virtual int create() { return WinApp::create(); }
virtual int render() = 0;
virtual int cleanup()
{
m_shutdown = true;
return WinApp::cleanup();
}
protected:
virtual LRESULT CALLBACK WndProc(HWND hWnd, UINT message, WPARAM wParam, LPARAM lParam)
{
switch (message)
{
case WM_CHAR:
if (wParam == '1')
{
m_mode = MODE_CPU;
return 0;
}
if (wParam == '2')
{
m_mode = MODE_GPU_RGBA;
return 0;
}
if (wParam == '3')
{
m_mode = MODE_GPU_NV12;
return 0;
}
else if (wParam == VK_SPACE)
{
m_demo_processing = !m_demo_processing;
return 0;
}
else if (wParam == VK_ESCAPE)
{
return cleanup();
}
break;
case WM_CLOSE:
return cleanup();
case WM_DESTROY:
::PostQuitMessage(0);
return 0;
}
return ::DefWindowProc(hWnd, message, wParam, lParam);
}
// do render at idle
virtual int idle() { return render(); }
protected:
bool m_shutdown;
bool m_demo_processing;
MODE m_mode;
cv::String m_modeStr[3];
cv::VideoCapture m_cap;
cv::Mat m_frame_bgr;
cv::Mat m_frame_rgba;
Timer m_timer;
};
static void help()
{
printf(
"\nSample demonstrating interoperability of DirectX and OpenCL with OpenCV.\n"
"Hot keys: \n"
" SPACE - turn processing on/off\n"
" 1 - process DX surface through OpenCV on CPU\n"
" 2 - process DX RGBA surface through OpenCV on GPU (via OpenCL)\n"
" 3 - process DX NV12 surface through OpenCV on GPU (via OpenCL)\n"
" ESC - exit\n\n");
}
static const char* keys =
{
"{c camera | true | use camera or not}"
"{f file | | movie file name }"
"{h help | | print help info }"
};
template <typename TApp>
int d3d_app(int argc, char** argv, std::string& title)
{
cv::CommandLineParser parser(argc, argv, keys);
std::string file = parser.get<std::string>("file");
bool useCamera = parser.has("camera");
bool showHelp = parser.has("help");
if (showHelp)
help();
parser.printMessage();
cv::VideoCapture cap;
if (useCamera)
cap.open(0);
else
cap.open(file.c_str());
if (!cap.isOpened())
{
printf("can not open camera or video file\n");
return -1;
}
int width = (int)cap.get(cv::CAP_PROP_FRAME_WIDTH);
int height = (int)cap.get(cv::CAP_PROP_FRAME_HEIGHT);
std::string wndname = title;
TApp app(width, height, wndname, cap);
try
{
app.create();
return app.run();
}
catch (cv::Exception& e)
{
std::cerr << "Exception: " << e.what() << std::endl;
return 10;
}
catch (...)
{
std::cerr << "FATAL ERROR: Unknown exception" << std::endl;
return 11;
}
}