inline void
dag_sp_dispatch1
(const VertexListGraph& g,
typename graph_traits<VertexListGraph>::vertex_descriptor s,
DistanceMap distance, WeightMap weight, ColorMap color, IndexMap id,
DijkstraVisitor vis, const Params& params)
{
typedef typename property_traits<WeightMap>::value_type T;
typename std::vector<T>::size_type n;
n = is_default_param(distance) ? num_vertices(g) : 1;
std::vector<T> distance_map(n);
n = is_default_param(color) ? num_vertices(g) : 1;
std::vector<default_color_type> color_map(n);
dag_sp_dispatch2
(g, s,
choose_param(distance,
make_iterator_property_map(distance_map.begin(), id,
distance_map[0])),
weight,
choose_param(color,
make_iterator_property_map(color_map.begin(), id,
color_map[0])),
id, vis, params);
}
void TextureObject::update( kvs::ni::UserGenerator& user )
{
kvs::ColorMap color_map( 5 );
color_map.create();
kvs::ValueArray<unsigned int> users = user.users();
m_data.fill( 0x00 );
for ( size_t i = 0; i < users.size(); i++ )
{
const unsigned short* p_user = user.pointer( users[i] );
const size_t color_index = users[i] % 5;
kvs::RGBColor color = color_map[ color_index ];
const float ratio = ( user.skeleton().isTracking( users[i] ) ) ? 1.0f : 0.5f;
for ( size_t y = 0; y < m_height; y++ )
{
for ( size_t x = 0; x < m_width; x++ )
{
const size_t index = x + y * m_width;
if ( p_user[ index ] == users[i] )
{
m_data[ index * 4 ] = static_cast<unsigned char>( ratio * color.r() );
m_data[ index * 4 + 1 ] = static_cast<unsigned char>( ratio * color.g() );
m_data[ index * 4 + 2 ] = static_cast<unsigned char>( ratio * color.b() );
m_data[ index * 4 + 3 ] = 255;
}
}
}
}
}
void TransferFunctionEditor::setTransferFunction( const kvs::TransferFunction& transfer_function )
{
const kvs::ColorMap& cmap = transfer_function.colorMap();
const kvs::OpacityMap& omap = transfer_function.opacityMap();
// Deep copy for the initial transfer function.
kvs::ColorMap::Table color_map_table( cmap.table().data(), cmap.table().size() );
kvs::OpacityMap::Table opacity_map_table( omap.table().data(), omap.table().size() );
// kvs::ColorMap color_map( color_map_table, cmap.minValue(), cmap.maxValue() );
// kvs::OpacityMap opacity_map( opacity_map_table, omap.minValue(), omap.maxValue() );
kvs::ColorMap color_map( color_map_table );
kvs::OpacityMap opacity_map( opacity_map_table );
m_initial_transfer_function.setColorMap( color_map );
m_initial_transfer_function.setOpacityMap( opacity_map );
if ( transfer_function.hasRange() )
{
m_min_value = transfer_function.colorMap().minValue();
m_max_value = transfer_function.colorMap().maxValue();
m_initial_transfer_function.setRange( m_min_value, m_max_value );
}
m_color_map_palette->setColorMap( color_map );
m_opacity_map_palette->setOpacityMap( opacity_map );
m_undo_stack.clear();
m_undo_stack.push_front( m_initial_transfer_function );
}
void WindowSput (PCONINFO con, u_char ch, int fc, int bc, int pos)
{
char szCharBuff [2];
HDC hdc;
int col, row;
szCharBuff [0] = ch;
szCharBuff [1] = '\0';
col = pos % con->cols;
row = pos / con->cols;
hdc = GetPrivateClientDC (con->hWnd);
SetTextColor (hdc, SysColorIndex [color_map (fc) & 0x0F]);
SetBkColor (hdc, SysColorIndex [color_map (bc) & 0x0F]);
TextOut (hdc, col * GetCharWidth (), row * GetCharHeight (), szCharBuff);
}
void WindowClearAll (PCONINFO con, int color)
{
HDC hdc;
RECT rcClient;
GetClientRect (con->hWnd, &rcClient);
hdc = GetPrivateClientDC (con->hWnd);
SetBrushColor (hdc, SysColorIndex [color_map (color)]);
FillBox (hdc, rcClient.left, rcClient.top,
RECTW (rcClient), RECTH (rcClient));
}
void WindowStringPut (PCONINFO con, const char* text,
int fc, int bc, int x, int y)
{
HDC hdc;
#if 0
{
FILE *fff;
fff = fopen("/tmp/ccegb-output.log", "a");
fprintf (fff,"x=%d, y=%d, fc=%d, bc=%d, text=%s\n",
x, y, fc, bc, text);
fclose (fff);
}
#endif
x *= GetCharWidth ();
y *= GetCharHeight ();
hdc = GetPrivateClientDC (con->hWnd);
SetTextColor (hdc, SysColorIndex [color_map (fc) & 0x0F]);
SetBkColor (hdc, SysColorIndex [color_map (bc) & 0x0000000F]);
TextOut (hdc, x, y, text);
}
void *color_processing(void *pointer) {
Mat *imgPtr = (Mat *) pointer;
vector <gpu::GpuMat > color_map(12);
gpu::GpuMat inputGPU(*imgPtr);
color_map = Normalize_color_GPU(inputGPU);
vector <gpu::GpuMat> RGBYMap(6);
for (int i = 0; i < 6; i++)
gpu::addWeighted(color_map[i], 0.5, color_map[i + 6], 0.5, 0, RGBYMap[i],
-1);
gpu::GpuMat AggColGPU = aggregateMaps_GPU(RGBYMap);
gpu::normalize(AggColGPU, AggColGPU, 0, 255, NORM_MINMAX, -1);
AggColGPU.download(AggColor);
pthread_exit (NULL);
}
// Capture Example demonstrates how to
// capture depth and color video streams and render them to the screen
int main(int argc, char * argv[]) try
{
// Create a simple OpenGL window for rendering:
window app(1280, 720, "RealSense Capture Example");
// Declare two textures on the GPU, one for color and one for depth
texture depth_image, color_image;
// Declare depth colorizer for pretty visualization of depth data
rs2::colorizer color_map;
// Declare RealSense pipeline, encapsulating the actual device and sensors
rs2::pipeline pipe;
// Start streaming with default recommended configuration
pipe.start();
while(app) // Application still alive?
{
rs2::frameset data = pipe.wait_for_frames(); // Wait for next set of frames from the camera
rs2::frame depth = color_map(data.get_depth_frame()); // Find and colorize the depth data
rs2::frame color = data.get_color_frame(); // Find the color data
// Render depth on to the first half of the screen and color on to the second
depth_image.render(depth, { 0, 0, app.width() / 2, app.height() });
color_image.render(color, { app.width() / 2, 0, app.width() / 2, app.height() });
}
return EXIT_SUCCESS;
}
catch (const rs2::error & e)
{
std::cerr << "RealSense error calling " << e.get_failed_function() << "(" << e.get_failed_args() << "):\n " << e.what() << std::endl;
return EXIT_FAILURE;
}
catch (const std::exception& e)
{
std::cerr << e.what() << std::endl;
return EXIT_FAILURE;
}
Image* OpenTGA(File* file) {
COR_GUARD("OpenTGA");
// read header
byte header[18];
if (file->read(header, 18) != 18) {
return 0;
}
// decode header
int id_length = header[0];
int cm_type = header[1];
int image_type = header[2];
//int cm_first = read16_le(header + 3);
int cm_length = read16_le(header + 5);
int cm_entry_size = header[7]; // in bits
//int x_origin = read16_le(header + 8);
//int y_origin = read16_le(header + 10);
int width = read16_le(header + 12);
int height = read16_le(header + 14);
int pixel_depth = header[16];
int image_descriptor = header[17];
bool mirrored = (image_descriptor & (1 << 4)) != 0; // left-to-right?
bool flipped = (image_descriptor & (1 << 5)) == 0; // bottom-to-top?
/*
* image types
* 0 = no image data
* 1 = uncompressed, color-mapped
* 2 = uncompressed, true-color
* 3 = uncompressed, black and white
* 9 = RLE, color-mapped
* 10 = RLE, true-color
* 11 = RLE, black and white
*/
// make sure we support the image
if (image_type != 2 || (pixel_depth != 24 && pixel_depth != 32)) {
return 0;
}
// skip image id
byte unused[255];
if (file->read(unused, id_length) != id_length) {
return 0;
}
// skip color map
if (cm_type != 0) {
// allocate color map
int cm_entry_bytes = (cm_entry_size + 7) / 8;
int cm_size = cm_entry_bytes * cm_length;
auto_array<byte> color_map(new byte[cm_size]);
if (file->read(color_map, cm_size) != cm_size) {
return 0;
}
}
// read image data
PixelFormat format;
auto_array<byte> pixels;
if (pixel_depth == 24) {
COR_LOG("24-bit image");
format = PF_B8G8R8;
int image_size = width * height * 3;
pixels = new byte[image_size];
if (file->read(pixels, image_size) != image_size) {
return 0;
}
} else if (pixel_depth == 32) {
COR_LOG("32-bit image");
format = PF_B8G8R8A8;
int image_size = width * height * 4;
pixels = new byte[image_size];
if (file->read(pixels, image_size) != image_size) {
return 0;
}
} else {
return 0;
}
// reverse each row
if (mirrored) {
COR_LOG("Image is mirrored");
const int bpp = pixel_depth / 8; // bytes per pixel
for (int y = 0; y < height; ++y) {
// points to the first pixel of the row
byte* start = pixels.get() + y * width * bpp;
// points to the last pixel of the row
byte* end = start + (width - 1) * bpp;
while (start < end) {
for (int b = 0; b < bpp; ++b) {
std::swap(start[b], end[b]);
}
start += bpp;
end -= bpp;
}
}
}
// reverse rows as a whole
if (flipped) {
COR_LOG("Image is flipped");
const int bpp = pixel_depth / 8; // bytes per pixel
const int row_size = width * bpp;
auto_array<byte> temp(new byte[row_size]); // for the swap
// points to the beginning of the first row
byte* start = pixels.get();
// points to the beginning of the last row
byte* end = start + (height - 1) * width * bpp;
while (start < end) {
memcpy(temp.get(), start, row_size);
memcpy(start, end, row_size);
memcpy(end, temp.get(), row_size);
start += row_size;
end -= row_size;
}
}
return new SimpleImage(width, height, format, pixels.release());
}
vector<gpu::GpuMat> Normalize_color_GPU(gpu::GpuMat inputImage)
{
//generate the channel y
vector<gpu::GpuMat> rgby(4);
vector<gpu::GpuMat> temp;
gpu::split(inputImage, temp);
gpu::GpuMat interm4;
gpu::addWeighted(temp[1], 0.5, temp[2], 0.5, 0, interm4, -1);
gpu::subtract(temp[0],interm4,rgby[0]);
gpu::GpuMat interm5;
gpu::addWeighted(temp[0], 0.5, temp[2], 0.5, 0, interm5, -1);
gpu::subtract(temp[1],interm5,rgby[1]);
gpu::GpuMat interm6;
gpu::addWeighted(temp[1], 0.5, temp[0], 0.5, 0, interm6, -1);
gpu::subtract(temp[2],interm6,rgby[2]);
gpu::GpuMat interm7;
gpu::addWeighted(temp[2], 0.5, temp[1], 0.5, 0, interm7, -1);
gpu::GpuMat interm;
gpu::absdiff(temp[2],temp[1], interm);
gpu::divide(0.5,interm,interm);
gpu::GpuMat interm8;
gpu::subtract(interm7,interm,interm8);
gpu::subtract(interm8,temp[0],rgby[3]);
gpu::threshold(rgby[3], rgby[3], 0, 255, THRESH_TOZERO);
vector<gpu::GpuMat> red_pyr(9);
vector<gpu::GpuMat> green_pyr(9);
vector<gpu::GpuMat> blue_pyr(9);
vector<gpu::GpuMat> yellow_pyr(9);
red_pyr = Get_GaussianPyramid_GPU(rgby[2]);
green_pyr = Get_GaussianPyramid_GPU(rgby[1]);
blue_pyr = Get_GaussianPyramid_GPU(rgby[0]);
yellow_pyr = Get_GaussianPyramid_GPU(rgby[3]);
gpu::GpuMat r_g, b_y, output_rg, output_by;
vector<gpu::GpuMat> color_map(12);
for(int c = 2; c<=4; c++)
{
for(int delta = 3; delta<=4; delta++)
{
gpu::subtract(green_pyr[c+delta],red_pyr[c+delta],r_g);
gpu::subtract(yellow_pyr[c+delta],blue_pyr[c+delta],b_y);
for(int bCtr =1; bCtr<=delta; bCtr++)
{
gpu::pyrUp(r_g, output_rg);
//r_g = output_rg;
gpu::pyrUp(b_y, output_by);
//b_y = output_by;
}
if(red_pyr[c].size() != output_rg.size())
{
gpu::GpuMat interm2;
gpu::resize(output_rg, output_rg,red_pyr[c].size(),1.0,1.0);
gpu::subtract(red_pyr[c],green_pyr[c],interm2);
gpu::absdiff(interm2, output_rg, color_map[2*c+delta-7]);
gpu::GpuMat interm3;
gpu::resize(output_by, output_by,red_pyr[c].size(),1.0,1.0);
gpu::subtract(blue_pyr[c],yellow_pyr[c],interm3);
gpu::absdiff(interm3, output_by, color_map[2*c+delta-1]);
}
else
{
gpu::GpuMat interm2;
gpu::subtract(red_pyr[c],green_pyr[c],interm2);
gpu::GpuMat interm3;
gpu::subtract(blue_pyr[c],yellow_pyr[c],interm3);
gpu::absdiff(interm2, output_rg, color_map[2*c+delta-7]);
gpu::absdiff(interm3, output_by, color_map[2*c+delta-1]);
}
}
}
return color_map;
}
vector<Mat> Normalize_color(Mat inputImage, Mat IntensityImg)
{
double maxInt;
minMaxLoc(IntensityImg, NULL, &maxInt, NULL, NULL);
//Normalize all color channels
int i = 0, j = 0;
Vec3b intensity = inputImage.at<Vec3b>(i,j);
for(i=0; i<inputImage.rows; i++)//row
{
for(j=0; j<inputImage.cols; j++)//
{
if(inputImage.at<uchar>(i, j) >= 0.1 * maxInt)
{
intensity.val[0] = (intensity.val[0] * 255)/maxInt;//b
intensity.val[1] = (intensity.val[1] * 255)/maxInt;//g
intensity.val[2] = (intensity.val[2] * 255)/maxInt;//r
}
}
}
//generate the channel y
vector<Mat> rgby(4);
vector<Mat> temp;
split(inputImage, temp);
rgby[0] = temp[0] - (temp[1] + temp[2])/2;
rgby[1] = temp[1] - (temp[0] + temp[2])/2;
rgby[2] = temp[2] - (temp[1] + temp[0])/2;
rgby[3] = (temp[2] + temp[1])/2 - abs((temp[2] - temp[1])/2) - temp[0];
threshold(rgby[3], rgby[3], 0, 255, THRESH_TOZERO);
vector<Mat> red_pyr(9);
vector<Mat> green_pyr(9);
vector<Mat> blue_pyr(9);
vector<Mat> yellow_pyr(9);
red_pyr = Get_GaussianPyramid(rgby[2]);
green_pyr = Get_GaussianPyramid(rgby[1]);
blue_pyr = Get_GaussianPyramid(rgby[0]);
yellow_pyr = Get_GaussianPyramid(rgby[3]);
Mat r_g, b_y, output_rg, output_by;
vector<Mat> color_map(12);
for(int c = 2; c<=4; c++)
{
for(int delta = 3; delta<=4; delta++)
{
r_g = green_pyr[c+delta] - red_pyr[c+delta];
b_y = yellow_pyr[c+delta] - blue_pyr[c+delta];
for(int bCtr =1; bCtr<=delta; bCtr++)
{
pyrUp(r_g, output_rg, Size(r_g.cols*2, r_g.rows*2));
r_g = output_rg;
pyrUp(b_y, output_by, Size(b_y.cols*2, b_y.rows*2));
b_y = output_by;
}
if(red_pyr[c].size() != output_rg.size())
{
color_map[2*c+delta-7] = abs((red_pyr[c] - green_pyr[c]) - output_rg(Range(0, red_pyr[c].rows), Range(0, red_pyr[c].cols)));
color_map[2*c+delta-1] = abs((blue_pyr[c] - yellow_pyr[c]) - output_by(Range(0, red_pyr[c].rows), Range(0, red_pyr[c].cols)));
}
else
{
color_map[2*c+delta-7] = abs((red_pyr[c] - green_pyr[c]) - output_rg);
color_map[2*c+delta-1] = abs((blue_pyr[c] - yellow_pyr[c]) - output_by);
}
}
}
return color_map;
}
bool test_isomorphism()
{
{
std::vector<invar1_value> invar1_array;
BGL_FORALL_VERTICES_T(v, G1, Graph1)
invar1_array.push_back(invariant1(v));
sort(invar1_array);
std::vector<invar2_value> invar2_array;
BGL_FORALL_VERTICES_T(v, G2, Graph2)
invar2_array.push_back(invariant2(v));
sort(invar2_array);
if (! equal(invar1_array, invar2_array))
return false;
}
std::vector<vertex1_t> V_mult;
BGL_FORALL_VERTICES_T(v, G1, Graph1)
V_mult.push_back(v);
{
std::vector<size_type> multiplicity(max_invariant, 0);
BGL_FORALL_VERTICES_T(v, G1, Graph1)
++multiplicity[invariant1(v)];
sort(V_mult, compare_multiplicity(invariant1, &multiplicity[0]));
}
std::vector<default_color_type> color_vec(num_vertices(G1));
safe_iterator_property_map<std::vector<default_color_type>::iterator,
IndexMap1
#ifdef BOOST_NO_STD_ITERATOR_TRAITS
, default_color_type, default_color_type&
#endif /* BOOST_NO_STD_ITERATOR_TRAITS */
>
color_map(color_vec.begin(), color_vec.size(), index_map1);
record_dfs_order dfs_visitor(dfs_vertices, ordered_edges);
typedef color_traits<default_color_type> Color;
for (vertex_iter u = V_mult.begin(); u != V_mult.end(); ++u) {
if (color_map[*u] == Color::white()) {
dfs_visitor.start_vertex(*u, G1);
depth_first_visit(G1, *u, dfs_visitor, color_map);
}
}
// Create the dfs_num array and dfs_num_map
dfs_num_vec.resize(num_vertices(G1));
dfs_num = make_safe_iterator_property_map(dfs_num_vec.begin(),
dfs_num_vec.size(),
index_map1
#ifdef BOOST_NO_STD_ITERATOR_TRAITS
, dfs_num_vec.front()
#endif /* BOOST_NO_STD_ITERATOR_TRAITS */
);
size_type n = 0;
for (vertex_iter v = dfs_vertices.begin(); v != dfs_vertices.end(); ++v)
dfs_num[*v] = n++;
sort(ordered_edges, edge_cmp(G1, dfs_num));
int dfs_num_k = -1;
return this->match(ordered_edges.begin(), dfs_num_k);
}