static FrameManager()
{
_instance = new FrameManager();
_sensor = KinectSensor.GetDefault();
_frameResolutions[SourceType.COLOR] = Box.S_1920_1080;
_frameResolutions[SourceType.GREEN_SCREEN] = Box.S_1920_1080;
_frameResolutions[SourceType.DEPTH] = Box.S_512_424;
_frameResolutions[SourceType.INFRARED] = Box.S_512_424;
_frameResolutions[SourceType.BODY_INDEX] = Box.S_512_424;
_frameResolutions[SourceType.BACKGROUND] = _frameResolutions[SourceType.GREEN_SCREEN];
foreach (SourceType thisSourceType in _frameResolutions.Keys)
{
_displayableBuffers[thisSourceType] = new byte[_frameResolutions[thisSourceType].Area * (_outputPixelFormat.BitsPerPixel / 8)];
}
_bodyIndexToColorMap.Add(0, 0xFF0000FF); // BLUE
_bodyIndexToColorMap.Add(1, 0x00FF00FF); // GREEN
_bodyIndexToColorMap.Add(2, 0x0000FFFF); // RED
_bodyIndexToColorMap.Add(3, 0x00FFFFFF); // YELLOW
_bodyIndexToColorMap.Add(4, 0xFF00FFFF); // PURPLE
_bodyIndexToColorMap.Add(5, 0xFFFFFFFF); // WHITE
foreach (int bodyIndex in _bodyIndexToColorMap.Keys)
{
_colorToBodyIndexMap.Add(_bodyIndexToColorMap[bodyIndex], bodyIndex);
}
_instance.InitializeBackgroundImage();
_rawDepthPixels = new UInt16[_frameResolutions[SourceType.DEPTH].Area];
_rawInfraredPixels = new UInt16[_frameResolutions[SourceType.INFRARED].Area];
_rawBodyIndexPixels = new byte[_frameResolutions[SourceType.BODY_INDEX].Area];
_cameraSpacePoints = new CameraSpacePoint[Box.S_1920_1080.Area];
_boxBlur_3_by_3 = new ConvolutionKernel(1.0f / 9f, new int[, ] {
{ 1, 1, 1 },
{ 1, 1, 1 },
{ 1, 1, 1 },
});
_boxBlur_5_by_5 = new ConvolutionKernel(1.0f / 25f, new int[, ] {
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
});
_boxBlur_7_by_7 = new ConvolutionKernel(1.0f / 49f, new int[, ] {
{ 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1 },
});
_boxBlur_9_by_9 = new ConvolutionKernel(1.0f / 81f, new int[, ] {
{ 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1 }
});
_identity_3_by_3 = new ConvolutionKernel(1, new int[, ] {
{ 1, 0, 0 },
{ 0, 1, 0 },
{ 0, 0, 1 }
});
_gaussianBlur_5_by_5 = new ConvolutionKernel(1.0f / 256.0f, new int[, ] {
{ 1, 4, 6, 4, 1 },
{ 4, 16, 24, 16, 4 },
{ 6, 24, 36, 24, 6 },
{ 4, 16, 24, 16, 4 },
{ 1, 4, 6, 4, 1 },
});
_gaussianBlur_3_by_3 = new ConvolutionKernel(1.0f / 16.0f, new int[, ] {
{ 1, 2, 1 },
{ 2, 4, 2 },
{ 1, 2, 1 }
});
_edgeDetection = new ConvolutionKernel(1.0f, new int[, ] {
{ -1, -1, -1 },
{ -1, 8, -1 },
{ -1, -1, -1 }
});
/*
* _experimental = new ConvolutionKernel(1, new float[,] {
* { 0.00401f, 0.005895f, 0.007763f, 0.009157f, 0.009675f, 0.009157f, 0.007763f, 0.005895f, 0.00401f},
* { 0.005895f, 0.008667f, 0.011412f, 0.013461f, 0.014223f, 0.013461f, 0.011412f, 0.008667f, 0.005895f},
* { 0.007763f, 0.011412f, 0.015028f, 0.017726f, 0.018729f, 0.017726f, 0.015028f, 0.011412f, 0.007763f},
* { 0.009157f, 0.013461f, 0.017726f, 0.020909f, 0.022092f, 0.020909f, 0.017726f, 0.013461f, 0.009157f},
* { 0.009675f, 0.014223f, 0.018729f, 0.022092f, 0.023342f, 0.022092f, 0.018729f, 0.014223f, 0.009675f},
* { 0.009157f, 0.013461f, 0.017726f, 0.020909f, 0.022092f, 0.020909f, 0.017726f, 0.013461f, 0.009157f},
* { 0.007763f, 0.011412f, 0.015028f, 0.017726f, 0.018729f, 0.017726f, 0.015028f, 0.011412f, 0.007763f},
* { 0.005895f, 0.008667f, 0.011412f, 0.013461f, 0.014223f, 0.013461f, 0.011412f, 0.008667f, 0.005895f},
* { 0.00401f, 0.005895f, 0.007763f, 0.009157f, 0.009675f, 0.009157f, 0.007763f, 0.005895f, 0.00401f}
* });
*
* _experimental2 = new ConvolutionKernel(1, new float[,] {
* { 0.000518f, 0.021715f, 0.00051f},
* { 0.021715f, 0.91107f , 0.021715f},
* { 0.000518f, 0.021715f, 0.000518f }
* });
*/
}
