/// Example of slicing a single layer from an implicit by transforming the
/// implicit to a build orientation and z-slice height.
#include <array>
#include <filesystem>
#include <iostream>
#include <vector>
#include <matplot/matplot.h>
#include <ntop_core/ntop_core.h>
int main() {
// Select a .implicit file and load it
std::cout << "Enter a path to an implicit (examples in the examples/assets "
"folder): ";
std::string path;
std::cin >> path;
ntop_core_handle implicit_handle{};
uint32_t res = ntop_core_import_from_file(path.c_str(), &implicit_handle);
// Do some error handling for bad paths or corrupt implicits
switch (res) {
case ntop_core_import_result::SUCCESS:
break;
case ntop_core_import_result::FILE_DOESNT_EXIST:
std::cout << "File not found" << std::endl;
exit(1);
break;
case ntop_core_import_result::FILE_OPEN_ERROR:
std::cout << "Unable to open file" << std::endl;
exit(2);
break;
case ntop_core_import_result::CORRUPT_FILE:
std::cout << "Corrupted file" << std::endl;
exit(3);
break;
case ntop_core_import_result::UNSUPPORTED_VERSION:
int major, minor, patch;
ntop_core_library_version(&major, &minor, &patch);
std::cout << "Implicit file is unsupported by nTop Core version " << major << "." << minor << "." << patch << std::endl;
exit(4);
break;
default: {
std::cout << "Unspecified error loading" << std::endl;
exit(5);
}
}
// Transform the part for (build volume) orientation prior to slicing
// Slice along the YZ plane of the part
ntop_core_bounding_box bb{};
ntop_core_query_bounding_box(implicit_handle, &bb);
ntop_core_vec3 centroid{(bb.min.x + bb.max.x) / 2.0,
(bb.min.y + bb.max.y) / 2.0,
(bb.min.z + bb.max.z) / 2.0};
ntop_core_frame const frame{centroid, {0, 1, 0}, {0, 0, 1}};
// Create a new implicit to slice
ntop_core_handle transformed_handle{};
ntop_core_transformed(implicit_handle, &frame, &transformed_handle);
// Free the memory of the original implicit
ntop_core_release(implicit_handle);
// Initialize the vector to hold the slice data
std::vector<std::vector<std::array<double, 2>>> slice;
// This lambda will be called for every independent polyline
// We place a reference to slice in the capture clause so we can deposit
// the planar points (x and y in the length 2 double arrays) into it.
auto deposit = [&slice](ntop_core_vec2 const *points, uint32_t sz,
bool is_closed) {
// Initialize a vector to hold this polyline curve
std::vector<std::array<double, 2>> poly;
poly.reserve(sz);
// Iterate over the points in the polyline and store them
for (uint32_t i = 0; i < sz; ++i) {
poly.push_back({points[i].x, points[i].y});
}
// For our example when the curve is closed we want to draw the connection
// so the first point is added again
if (is_closed) {
poly.push_back({points[0].x, points[0].y});
}
// Store the polyline curve to the slice
slice.push_back(std::move(poly));
};
// Define the feature size of the slice
double feature_size = 0.0001;
// Slice the body at Z height
double slice_z_height = 0.0;
// Slice using the marching squares algorithm.
// The function signature is the same as ntop_core_generate_slice_by_DC and
// can be substituted depending on the specifics of the implicit being sliced
// and desired slice characteristics: sharp corners should use dual contouring
// while avoidance of possible slicing artifacts should use marching squares.
ntop_core_generate_slice_by_MS(
transformed_handle, slice_z_height, feature_size, &deposit,
[](void *ctx, auto... ps) {
return (*reinterpret_cast<decltype(deposit) *>(
ctx))(std::forward<decltype(ps)>(ps)...);
});
// Free the memory used by the implicit as no more operations are performed
// using nTop Core
ntop_core_release(transformed_handle);
// Provide a little debugging output
std::cout << "Slices contours: " << slice.size() << std::endl;
using namespace matplot;
// plot all the polylines on this one figure
matplot::hold(on);
// Iterate over the contours in the slice and structure the data for the
// graphing lib
for (auto &contour : slice) {
std::vector<double> x;
std::vector<double> y;
for (auto &point : contour) {
x.push_back(point[0]);
y.push_back(point[1]);
}
matplot::plot(x, y);
}
matplot::xlabel("meters");
matplot::ylabel("meters");
matplot::show();
// Save the slice as a SVG
matplot::save("sliceMS.svg");
std::cout << "Slice image written to "
<< std::filesystem::current_path().append("sliceMS.svg")
<< std::endl;
}