void ICanvas::createImage(IImageListener* listener,
bool autodelete) {
checkInitialized();
_createImage(listener, autodelete);
}
int main() {
CGAL::Image_3 image(_createImage(2, 2, 2, 1,
1., 1., 1.,
1, WK_FIXED, SGN_UNSIGNED));
Word data[8] = { 0, 0, 0, 0, 0, 0, 0, 0};
ImageIO_free(image.data());
image.set_data(&data[0]);
std::cerr << std::setprecision(2) << std::fixed;
const Word c_value = 100;
for(int x = 0; x <= 1; ++x)
for(int y = 0; y <= 1; ++y)
for(int z = 0; z <= 1; ++z)
{
data[z * 4 + y * 2 + x] = c_value;
std::cerr << "#### data"
<< "[" << x << "]"
<< "[" << y << "]"
<< "[" << z << "]"
<< " = " << c_value << "\n";
for(double d_x = 0.; d_x <= 1.; d_x += 0.499999)
for(double d_y = 0.; d_y <= 1.; d_y += 0.499999)
for(double d_z = 0.; d_z <= 1.; d_z += 0.499999)
{
assert((int)d_x == 0);
assert((int)d_y == 0);
assert((int)d_z == 0);
const double value =
image.trilinear_interpolation<Word, double, double>(d_x,
d_y,
d_z,
255);
const Word label =
image.labellized_trilinear_interpolation<Word,
double>(d_x, d_y, d_z, 255);
std::cerr << "val(" << d_x << ", " << d_y << " , " << d_z << ") = "
<< value << " -- "
<< "label = " << (int)label << std::endl;
assert((label == c_value) == (value >= 0.5 * c_value));
const double sq_dist =
(d_x - x) * (d_x - x) +
(d_y - y) * (d_y - y) +
(d_z - z) * (d_z - z);
if(sq_dist <= 0.001) {
assert(value >= 0.9 * c_value);
assert(label == c_value);
}
else if(sq_dist <= 0.51*0.51/2.) {
assert(value >= 0.79 * c_value);
assert(label == c_value);
}
else if(sq_dist <= 0.51*0.51) {
assert(value >= 0.49 * c_value);
}
else if(sq_dist <= 2*0.51*0.51) {
assert(value >= 0.24 * c_value);
assert(label == 0);
}
else if(sq_dist <= 3*0.51*0.51) {
assert(value >= 0.12 * c_value);
assert(label == 0);
}
else {
assert(value <= 0.001 * c_value);
assert(label == 0);
}
const float value2 =
image.trilinear_interpolation<Word, float, float>(d_x,
d_y,
d_z,
Word(0));
const float value3 = triLinInterp(image.image(),
d_x,
d_y,
d_z,
0.f);
std::cerr << "tri(" << d_x << ", " << d_y << " , " << d_z << ") = "
<< value3 << std::endl;
if(value2 != value3)
std::cerr << std::setprecision(30)
<< " " << value2 << "\n!= " << value3 << std::endl;
assert(value2 == value3);
}
data[z * 4 + y * 2 + x] = 0;
}
// BENCH
std::cerr.precision(10);
float max_diff = 0.f;
CGAL::Timer timer_new_implementation;
CGAL::Timer timer_old_implementation;
for(int image_nb = 0; image_nb < 1000; ++image_nb)
{
// fill the 2x2x2 image
for(int i = 0; i < 8; ++i) {
data[i] = CGAL::default_random.get_int(0,255);
}
// test the difference between the two implementations
for(double d_x = 0.; d_x < 0.9; d_x += 0.1)
for(double d_y = 0.; d_y < 0.9; d_y += 0.1)
for(double d_z = 0.; d_z < 0.9; d_z += 0.1)
{
const float value1 =
image.trilinear_interpolation<Word, float, float>(d_x,
d_y,
d_z,
0);
const float value2 = triLinInterp(image.image(),
d_x,
d_y,
d_z,
0.f);
float diff = value1 - value2;
if(diff < 0) {
diff =-diff;
}
assert(diff < 0.1f);
if(diff > max_diff)
max_diff = diff;
}
// bench new implementation
float sum = 0.f;
timer_new_implementation.start();
for(double d_x = 0.; d_x < 0.9; d_x += 0.05)
for(double d_y = 0.; d_y < 0.9; d_y += 0.05)
for(double d_z = 0.; d_z < 0.9; d_z += 0.05)
{
sum +=
image.trilinear_interpolation<Word, float, float>(d_x,
d_y,
d_z,
0);
}
timer_new_implementation.stop();
sum = 0.f;
timer_old_implementation.start();
// bench old implementation
for(double d_x = 0.; d_x < 0.9; d_x += 0.05)
for(double d_y = 0.; d_y < 0.9; d_y += 0.05)
for(double d_z = 0.; d_z < 0.9; d_z += 0.05)
{
sum += triLinInterp(image.image(),
d_x,
d_y,
d_z,
0.f);
}
timer_old_implementation.stop();
}
std::cerr << "max difference = " << max_diff << "\n"
<< "timer new implementation: " << timer_new_implementation.time()
<< "\ntimer old implementation: " << timer_old_implementation.time()
<< "\n";
image.set_data(0); // trick to avoid ~Image_3 segfault.
const char* filenames[] = {
"../../examples/Surface_mesher/data/skull_2.9.inr",
"../../../Surface_mesher/examples/Surface_mesher/data/skull_2.9.inr",
"../Surface_mesher_Examples/data/skull_2.9.inr"
};
std::size_t file_index = 0;
for( ; file_index < sizeof(filenames); ++file_index)
{
std::ifstream image_file(filenames[file_index], std::ios_base::binary | std::ios_base::in );
if(image_file) {
break;
}
}
assert(file_index < sizeof(filenames) );
std::cerr << "Opening file " << filenames[file_index] << "...\n";
CGAL::Image_3 image2;
const bool result = image2.read(filenames[file_index]);
assert(result);
std::cerr << "Image info:"
<< "\n dim = "
<< image2.xdim() << "x" << image2.ydim() << "x" << image2.zdim()
<< "\n v = ( " << image2.vx() << ", "
<< image2.vy() << ", " << image2.vz()
<< " )\n";
int counter = 0;
for(float d_x = 0.; d_x < image2.xdim() * image.vx(); d_x += 1.f/3)
for(float d_y = 0.; d_y < image2.ydim() * image.vy(); d_y += 3.f/5)
for(float d_z = 0.; d_z < image2.zdim() * image.vz(); d_z += 1.f/3)
{
++counter;
const float value1 =
::triLinInterp(image2.image(),
d_x,
d_y,
d_z,
0);
const float value2 =
image2.trilinear_interpolation<float, float, float>(d_x,
d_y,
d_z,
0);
float diff = value2 - value1;
if(diff < 0) diff = -diff;
if(diff > 0.0001 )
{
std::cerr.precision(20);
const std::size_t i1 = static_cast<std::size_t>(d_z / image2.image()->vz);
const std::size_t j1 = static_cast<std::size_t>(d_y / image2.image()->vy);
const std::size_t k1 = static_cast<std::size_t>(d_x / image2.image()->vx);
std::cerr << "pos = (" << d_x << ", " << d_y << ", " << d_z << ") => ("
<< i1 << ", " << j1 << ", " << k1 << ")\n";
std::cerr << "value1 = " << value1
<< "\nvalue2 = " << value2 << std::endl;
for(std::size_t di = 0; di < 2 ; ++di)
for(std::size_t dj = 0; dj < 2 ; ++dj)
for(std::size_t dk = 0; dk < 2 ; ++dk)
{
std::cerr << "value(" << i1 + di
<< ", " << j1 + dj
<< ", " << k1 + dk << ") = "
<< image2.value(i1 + di, j1+ dj, k1 + dk) << "\n";
}
assert(false);
}
}
std::cerr << counter << " tests. OK.";
}
