/**
* \brief Constructor.
* \param img The image for the sprite.
*/
bear::visual::sprite::sprite( const image& img )
: bitmap_rendering_attributes(img.size()), m_image(img),
m_clip_rectangle(0, 0, img.width(), img.height()),
m_opaque_rectangle( 0, 0, 0, 0 )
{
} // sprite::sprite()
static void image_insert_tile_row(image& target, int32_t x, int32_t y, uint32_t width, uint32_t height,
const image& other, uint32_t offx, uint32_t offy)
{
if (offx + width <= other.width)
{
target.insert_sub(x, y, other, offx, offy, width, height);
return;
}
if (offx != 0)
{
target.insert_sub(x, y, other, offx, offy, other.width-offx, height);
x += other.width-offx;
width -= other.width-offx;
}
uint32_t xx = 0;
if (width >= other.width)
{
for (xx = 0; xx < width-other.width; xx += other.width)
{
target.insert_sub(x+xx, y, other, 0, offy, other.width, height);
}
}
if (xx < width)
{
target.insert_sub(x+xx, y, other, 0, offy, width-xx, height);
}
}
void save_single_frame() {
Setting conf("application.cfg");
string base = conf.getString("application.res_dir");
string vid1 = base + "/cities/Travel by Drone- Gang Depot Es, Pasar Minggu, Jakarta 12560, Indonesia (1-59).mp4";
Mat img = extract(vid1, 1659);
save(img, base + "/out.jpg");
}
virtual BOOL on_draw(HELEMENT he, UINT draw_type, HDC hdc, const
RECT &rc)
{
if ((DRAW_EVENTS)draw_type != where)
return FALSE;
// do default draw
int w = rc.right - rc.left;
int h = rc.bottom - rc.top;
if (!surface)
{
surface = image::create(w, h);
redraw = true;
}
else if (w != surface->width() || h != surface->height())
{
delete surface;
surface = image::create(w, h);
redraw = true;
}
else if (redraw)
surface->clear();
if (redraw)
{
graphics gx(surface);
draw(he, gx, w, h);
redraw = false;
}
surface->blit(hdc, rc.left, rc.top);
return default_draw ? TRUE : FALSE;
}
// merge float channels
bool mergeOCPToImage::apply(const matrix<float>& c1,
const matrix<float>& c2,
const matrix<float>& c3,
image& img) const {
point p; // coordinates
float r,g,b; // unnormed RGB channels
float RG, BY, WB; // opponent colour channels
if ((c1.size() != c2.size()) || (c1.size() != c3.size())) {
setStatusString("sizes of channels do not match");
return false;
}
img.resize(c1.size(),rgbPixel(),false,false);
for (p.y=0;p.y<img.rows();p.y++) {
for (p.x=0;p.x<img.columns();p.x++) {
RG = c1.at(p);
BY = c2.at(p);
WB = c3.at(p);
b = BY*0.666666666667f;
//
r = WB + RG - b;
g = WB - RG - b;
b = WB + BY*1.3333333333333f;
// truncate r,g and b if the value is not in intervall [0..1]
// can happen due to rounding errors in split operation
if (r<0.0f) {
r=0.0f;
} else if (r>1.0f) {
r=1.0f;
}
if (g<0.0f) {
g=0.0f;
} else if (g>1.0f) {
g=1.0f;
}
if (b<0.0f) {
b=0.0f;
} else if (b>1.0f) {
b=1.0f;
}
img.at(p).set(static_cast<ubyte>(255.0f*r),
static_cast<ubyte>(255.0f*g),
static_cast<ubyte>(255.0f*b),
0);
}
}
return true;
};
/*!
*/
image max(const image& lhs,const image& rhs)
{
CvSize lhs_sz = lhs.dim();
CvSize rhs_sz = rhs.dim();
if((lhs_sz.height != rhs_sz.height) || (lhs_sz.width != rhs_sz.width)) throw exception();
image res = lhs;
cvMax(lhs,rhs,res);
return res;
}
size_t cnt(const image& img) {
size_t sum = 0;
img.reset();
while (img.move_next()) {
if (img.element())
sum++;
}
return sum;
}
image<vec4f> display_diff(const image<vec4f>& diff) {
auto display = image{diff.size(), zero4f};
for (auto j = 0; j < diff.size().y; j++) {
for (auto i = 0; i < diff.size().x; i++) {
auto diff_value = max(diff[{i, j}]);
display[{i, j}] = {diff_value, diff_value, diff_value, 1};
}
}
return display;
}
/*!
*/
image operator /(const image& lhs,const image& rhs)
{
CvSize lhs_sz = lhs.dim();
CvSize rhs_sz = rhs.dim();
if((lhs_sz.width != rhs_sz.width) || (lhs_sz.height !=rhs_sz.height))
throw exception();
image result = lhs;
cvDiv(lhs,rhs,result);
return result;
}
image_view::image_view(const image &image, const vk::Format format, vk::ImageAspectFlags aspectFlags)
: device_(image.parent_device())
{
handle_ = device_.create_image_view(
vk::ImageViewCreateInfo()
.viewType(vk::ImageViewType::e2D)
.format(format)
.subresourceRange(vk::ImageSubresourceRange(aspectFlags, 0, 1, 0, 1))
.image(image.handle()));
}
void imshow_impl(
const image<T1, D1>& im1, const char* title1,
const image<T2, D2>& im2, const char* title2,
const image<T3, D3>& im3, const char* title3,
const image<T4, D4>& im4, const char* title4,
const image<T5, D5>& im5, const char* title5)
{
IplImage* ipl1;
IplImage* ipl2;
IplImage* ipl3;
IplImage* ipl4;
IplImage* ipl5;
ipl1 = im1.ipl();
cvNamedWindow(title1, 1);
cvShowImage(title1, ipl1);
if(title2) {
ipl2 = im2.ipl();
cvNamedWindow(title2, 2);
cvShowImage(title2, ipl2);
}
if(title3) {
ipl3 = im3.ipl();
cvNamedWindow(title3, 3);
cvShowImage(title3, ipl3);
}
if(title4) {
ipl4 = im4.ipl();
cvNamedWindow(title4, 4);
cvShowImage(title4, ipl4);
}
if(title5) {
ipl5 = im5.ipl();
cvNamedWindow(title5, 5);
cvShowImage(title5, ipl5);
}
cvWaitKey(0); // very important, contains event processing loop inside
cvDestroyWindow(title1);
if(title2) cvDestroyWindow(title2);
if(title3) cvDestroyWindow(title3);
if(title4) cvDestroyWindow(title4);
if(title5) cvDestroyWindow(title5);
cvReleaseImage(&ipl1);
if(title2) cvReleaseImage(&ipl2);
if(title3) cvReleaseImage(&ipl3);
if(title4) cvReleaseImage(&ipl4);
if(title5) cvReleaseImage(&ipl5);
}
typename image<T, D>::create_new median_blur(const image<T, D>& a, int neighbourhood)
{
IplImage* src = a.ipl();
IplImage* dst = cvCreateImage(cvGetSize(src),
image_details::ipl_depth<T>(), int(a.channels()));
cvSmooth(src, dst, CV_MEDIAN, neighbourhood);
typename image<T, D>::create_new r(dst);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}
image<vec4f> compute_diff_image(const image<vec4f>& a, const image<vec4f>& b) {
auto diff = image{a.size(), zero4f};
for (auto j = 0; j < a.size().y; j++) {
for (auto i = 0; i < a.size().x; i++) {
diff[{i, j}] = {abs(a[{i, j}].x - b[{i, j}].x),
abs(a[{i, j}].y - b[{i, j}].y), abs(a[{i, j}].z - b[{i, j}].z),
abs(a[{i, j}].w - b[{i, j}].w)};
}
}
return diff;
}
void find_in_image() {
Setting conf("application.cfg");
string base = conf.getString("application.res_dir");
Mat haystack = read(base + "/car_features/01.jpg");
Mat needle = toGrayscale(cv::imread(base + "/car_features/01.jpg"));
Mat needle64x128;
cv::resize(needle, needle64x128, Size(64, 128));
vector<float> hog = computeHog(needle64x128);
cout << hog.size() << endl;
}
typename image<T, D>::create_new laplace(const image<T, D>& a,
int aperture_size)
{
IplImage* src = a.ipl();
IplImage* dst = cvCreateImage(cvGetSize(src),
image_details::ipl_depth<T>(), int(a.channels()));
cvLaplace(src, dst, aperture_size);
typename image<T, D>::create_new r(dst);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}
typename image<T, D>::create_new blur_no_scale(const image<T, D>& a, int neighbourhood_rows,
int neighbourhood_cols)
{
IplImage* src = a.ipl();
IplImage* dst = cvCreateImage(cvGetSize(src),
image_details::ipl_depth<T>(), int(a.channels()));
cvSmooth(src, dst, CV_BLUR_NO_SCALE, neighbourhood_cols, neighbourhood_rows);
typename image<T, D>::create_new r(dst);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}
typename image<T, D>::create_new sobel(const image<T, D>& a,
int y_order, int x_order, int aperture_size)
{
IplImage* src = a.ipl();
IplImage* dst = cvCreateImage(cvGetSize(src),
image_details::ipl_depth<T>(), (int)a.channels());
cvSobel(src, dst, x_order, y_order, aperture_size);
typename image<T, D>::create_new r(dst);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}
typename image<T, D>::create_new pyramid_down(const image<T, D>& a)
{
IplImage* src = a.ipl();
IplImage* dst = cvCreateImage(
image_details::cv_size(a.width() / 2, a.height() / 2),
image_details::ipl_depth<T>(), int(a.channels()));
cvPyrDown(src, dst);
typename image<T, D>::create_new r(dst);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}
image image::operator/(const image& img) const
{
// sanity check
assert(width() == img.width() && height() == img.height());
// create result
image result(width(), height());
std::transform(begin(), end(), img.begin(), result.begin(), std::divides<color>());
// Done.
return result;
}
typename image<T, D>::create_new bilateral_blur(const image<T, D>& a, int color_sigma,
int space_sigma)
{
IplImage* src = a.ipl();
IplImage* dst = cvCreateImage(cvGetSize(src),
image_details::ipl_depth<T>(), int(a.channels()));
cvSmooth(src, dst, CV_BILATERAL, color_sigma, space_sigma);
typename image<T, D>::create_new r(dst);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}
void image::insert_image(Pos& pos, image& image_to_insert) {
// Check dimensions
if (pos.x + image_to_insert.size().width > this->size_.width ||
pos.y + image_to_insert.size().height > this->size_.height) {
cout << "Cant insert image: Size mismatch!" << endl;
return;
}
for (int y = 0; y < image_to_insert.size().height; ++y)
for (int x = 0; x < image_to_insert.size().width; ++x)
this->pixels_[y + pos.y][x + pos.x] = image_to_insert.pixels().at(y).at(x);
}
typename image<T, D>::create_new corner_eigenvals(
const image<T, D>& a, int block_size, int aperture_size)
{
IplImage* src = a.ipl();
IplImage* dst = cvCreateImage(
image_details::cv_size(a.width() * 6, a.height()),
image_details::ipl_depth<T>(), 1);
cvCornerEigenValsAndVecs(src, dst, block_size, aperture_size);
typename image<T, D>::create_new r(dst);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}
typename image<T, D>::create_new gaussian_blur(const image<T, D>& a, int neighbourhood_rows,
int neighbourhood_cols, int vertical_sigma, int horizontal_sigma)
{
IplImage* src = a.ipl();
IplImage* dst = cvCreateImage(cvGetSize(src), image_details::ipl_depth<T>(),
int(a.channels()));
cvSmooth(src, dst, CV_GAUSSIAN, neighbourhood_cols, neighbourhood_rows,
horizontal_sigma, vertical_sigma);
typename image<T, D>::create_new r(dst);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}
typename image<T, D>::create_new resample(const image<T, D>& a, size_t rows, size_t cols,
interpolation interp)
{
IplImage* src = a.ipl();
IplImage* dst = cvCreateImage(
image_details::cv_size(cols, rows),
image_details::ipl_depth<T>(), int(a.channels()));
cvResize(src, dst, image_details::interpolation_map[interp]);
typename image<T, D>::create_new r(dst);
cvReleaseImage(&src);
cvReleaseImage(&dst);
return r;
}
void jsonwriter::append_image(const image& img) {
rapidjson::Value frame("frame");
frame.SetObject();
// name value
rapidjson::Value name(rapidjson::StringRef(img.name().c_str()));
frame.AddMember("name", name, document_.GetAllocator());
// size value which contains actual width and height
rapidjson::Value size;
size.SetObject();
size.AddMember("width",
img.size().width,
document_.GetAllocator());
size.AddMember("height",
img.size().height,
document_.GetAllocator());
frame.AddMember("size", size, document_.GetAllocator());
// position value on spritesheet
rapidjson::Value position;
position.SetObject();
position.AddMember("x",
img.position().x,
document_.GetAllocator());
position.AddMember("y",
img.position().y,
document_.GetAllocator());
frame.AddMember("position", position, document_.GetAllocator());
// offset value that defines how much space was trimmed
rapidjson::Value offset;
offset.SetObject();
offset.AddMember("x",
img.offset().x,
document_.GetAllocator());
offset.AddMember("y",
img.offset().y,
document_.GetAllocator());
frame.AddMember("offset", offset, document_.GetAllocator());
// source value which contains the original image size
rapidjson::Value source;
source.SetObject();
source.AddMember("width",
img.o_size().width,
document_.GetAllocator());
source.AddMember("height",
img.o_size().height,
document_.GetAllocator());
frame.AddMember("source", source, document_.GetAllocator());
// add finished frame to frames array
document_["frames"].PushBack(frame, document_.GetAllocator());
}
void image::append_image_right(image& image_to_append) {
// Bring both images to the same height
if (this->size_.height < image_to_append.size().height)
append_height(image_to_append.size().height);
else if (this->size_.height > image_to_append.size().height)
image_to_append.append_height(this->size_.height);
// Append new rows from other image to the right of each row
for (int y = 0; y < (int) image_to_append.size().height; ++y)
for (int x = 0; x < (int) image_to_append.size().width; ++x)
this->pixels_.at(y).push_back(image_to_append.pixels().at(y).at(x));
this->size_.width += image_to_append.size().width;
#if DEBUG
cout << "images merged. array sizes: "
<< this->pixels_.at(1).size()
<< " width, "
<< this->pixels_.size()
<< " height. image size: "
<< this->size_.width
<< ", "
<< this->size_.height
<< endl;
#endif
}
//this one requires height <= other.height
static void image_insert_tile_row(image& target, int32_t x, int32_t y, uint32_t width, uint32_t height, const image& other)
{
uint32_t xx = 0;
if (width >= other.width)
{
for (xx = 0; xx < width-other.width; xx += other.width)
{
target.insert_sub(x+xx, y, other, 0, 0, other.width, height);
}
}
if (xx < width)
{
target.insert_sub(x+xx, y, other, 0, 0, width-xx, height);
}
}
bool brightRGB::getMax(const image& img,dvector& dest) const{
// image empty?
if (img.empty()) {
setStatusString("image empty");
dest.resize(0);
return false;
}
const rgbPixel transColor = getParameters().transColor;
ivector maxV(3,-1);
image::const_iterator it = img.begin();
if(getParameters().transparent) {
while(it != img.end()) {
if(*it != transColor) {
if((*it).getRed() > maxV.at(0))
maxV.at(0) = (*it).getRed();
if((*it).getGreen() > maxV.at(1))
maxV.at(1) = (*it).getGreen();
if((*it).getBlue() > maxV.at(2))
maxV.at(2) = (*it).getBlue();
}
it++;
}
// only transparent pixels?
if (maxV.at(0)==-1) {
setStatusString("only transparent pixels");
dest.resize(0);
return false;
}
} else { // no transparent color
while(it != img.end()) {
if((*it).getRed() > maxV.at(0))
maxV.at(0) = (*it).getRed();
if((*it).getGreen() > maxV.at(1))
maxV.at(1) = (*it).getGreen();
if((*it).getBlue() > maxV.at(2))
maxV.at(2) = (*it).getBlue();
it++;
}
}
if(maxV.at(0) == -1)
return false;
dest.castFrom(maxV);
// normalize to 0..1
dest.divide(255);
return true;
};
inline void cvt_oniimage(openni::VideoFrameRef src, image &to, const MemOp &m)
{
const void* data = src.getData();
void* datab = const_cast<void*>(data);
to = image(src.getWidth(), src.getHeight(), src.getStrideInBytes(), datab, m);
to.set_format(image::FORMAT_DEPTH_16);
}
void read_dem_header ( image<short> & dem )
{
char file[1000];
GDALDataset *df;
GDALRasterBand *bd;
double trans[6];
int rows, cols;
strcpy ( file, p.value("dem_file").c_str());
if ( strlen(file) == 0 ) {
fprintf(stderr,"Need to specify a dem file\n");
exit(1);
}
df = (GDALDataset *) GDALOpen( file, GA_ReadOnly );
if( df == NULL ) {
fprintf(stderr,"Could not open dem file: %s\n", file );
exit(1);
}
rows = df->GetRasterYSize();
cols = df->GetRasterXSize();
dem.create(rows,cols);
if( df->GetGeoTransform( trans ) == CE_None ) {
dem_east = trans[0];
dem_north = trans[3];
dem_wid = trans[1];
} else {
fprintf(stderr,"Dem file: %s has no geographic metadata\n", file );
exit(1);
}
delete df;
}
