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+/*
+ * This file is part of gerbolyze, a vector image preprocessing toolchain
+ * Copyright (C) 2021 Jan Sebastian Götte <gerbolyze@jaseg.de>
+ *
+ * This program is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Affero General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU Affero General Public License for more details.
+ *
+ * You should have received a copy of the GNU Affero General Public License
+ * along with this program. If not, see <https://www.gnu.org/licenses/>.
+ */
+
+#include <cmath>
+#include <string>
+#include <iostream>
+#include <algorithm>
+#include <vector>
+#include <regex>
+#include <opencv2/opencv.hpp>
+#include "svg_import_util.h"
+#include "vec_core.h"
+#include "svg_import_defs.h"
+#include "jc_voronoi.h"
+
+using namespace gerbolyze;
+using namespace std;
+
+ImageVectorizer *gerbolyze::makeVectorizer(const std::string &name) {
+ if (name == "poisson-disc")
+ return new VoronoiVectorizer(POISSON_DISC, /* relax */ true);
+ else if (name == "hex-grid")
+ return new VoronoiVectorizer(HEXGRID, /* relax */ false);
+ else if (name == "square-grid")
+ return new VoronoiVectorizer(SQUAREGRID, /* relax */ false);
+ else if (name == "binary-contours")
+ return new OpenCVContoursVectorizer();
+ else if (name == "dev-null")
+ return new DevNullVectorizer();
+
+ return nullptr;
+}
+
+/* debug function */
+static void dbg_show_cv_image(cv::Mat &img) {
+ string windowName = "Debug image";
+ cv::namedWindow(windowName);
+ cv::imshow(windowName, img);
+ cv::waitKey(0);
+ cv::destroyWindow(windowName);
+}
+
+/* From jcv voronoi README */
+static void voronoi_relax_points(const jcv_diagram* diagram, jcv_point* points) {
+ const jcv_site* sites = jcv_diagram_get_sites(diagram);
+ for (int i=0; i<diagram->numsites; i++) {
+ const jcv_site* site = &sites[i];
+ jcv_point sum = site->p;
+ int count = 1;
+
+ const jcv_graphedge* edge = site->edges;
+
+ while (edge) {
+ sum.x += edge->pos[0].x;
+ sum.y += edge->pos[0].y;
+ count++;
+ edge = edge->next;
+ }
+
+ points[site->index].x = sum.x / count;
+ points[site->index].y = sum.y / count;
+ }
+}
+
+void gerbolyze::parse_img_meta(const pugi::xml_node &node, double &x, double &y, double &width, double &height) {
+ /* Read XML node attributes */
+ x = usvg_double_attr(node, "x", 0.0);
+ y = usvg_double_attr(node, "y", 0.0);
+ width = usvg_double_attr(node, "width", 0.0);
+ height = usvg_double_attr(node, "height", 0.0);
+ assert (width > 0 && height > 0);
+ cerr << "image elem: w="<<width<<", h="<<height<<endl;
+}
+
+string gerbolyze::read_img_data(const pugi::xml_node &node) {
+ /* Read image from data:base64... URL */
+ string img_data = parse_data_iri(node.attribute("xlink:href").value());
+ if (img_data.empty()) {
+ cerr << "Warning: Empty or invalid image element with id \"" << node.attribute("id").value() << "\"" << endl;
+ return "";
+ }
+ return img_data;
+}
+
+cv::Mat read_img_opencv(const pugi::xml_node &node) {
+ string img_data = read_img_data(node);
+
+ /* slightly annoying round-trip through the std:: and cv:: APIs */
+ vector<unsigned char> img_vec(img_data.begin(), img_data.end());
+ cv::Mat data_mat(img_vec, true);
+ cv::Mat img = cv::imdecode(data_mat, cv::ImreadModes::IMREAD_GRAYSCALE | cv::ImreadModes::IMREAD_ANYDEPTH);
+ data_mat.release();
+
+ if (img.empty()) {
+ cerr << "Warning: Could not decode content of image element with id \"" << node.attribute("id").value() << "\"" << endl;
+ }
+
+ return img;
+}
+
+void gerbolyze::draw_bg_rect(cairo_t *cr, double width, double height, ClipperLib::Paths &clip_path, PolygonSink &sink, cairo_matrix_t &viewport_matrix) {
+ /* For both our debug SVG output and for the gerber output, we have to paint the image's bounding box in black as
+ * background for our halftone blobs. We cannot simply draw a rect here, though. Instead we have to first intersect
+ * the bounding box with the clip path we get from the caller, then we have to translate it into Cairo-SVG's
+ * document units. */
+ /* First, setup the bounding box rectangle in our local px coordinate space. */
+ ClipperLib::Path rect_path;
+ for (auto &elem : vector<pair<double, double>> {{0, 0}, {width, 0}, {width, height}, {0, height}}) {
+ double x = elem.first, y = elem.second;
+ cairo_user_to_device(cr, &x, &y);
+ rect_path.push_back({ (ClipperLib::cInt)round(x * clipper_scale), (ClipperLib::cInt)round(y * clipper_scale) });
+ }
+
+ /* Intersect the bounding box with the caller's clip path */
+ ClipperLib::Clipper c;
+ c.AddPath(rect_path, ClipperLib::ptSubject, /* closed */ true);
+ if (!clip_path.empty()) {
+ c.AddPaths(clip_path, ClipperLib::ptClip, /* closed */ true);
+ }
+
+ ClipperLib::Paths rect_out;
+ c.StrictlySimple(true);
+ c.Execute(ClipperLib::ctIntersection, rect_out, ClipperLib::pftNonZero, ClipperLib::pftNonZero);
+
+ /* Finally, translate into Cairo-SVG's document units and draw. */
+ cairo_save(cr);
+ cairo_set_matrix(cr, &viewport_matrix);
+ cairo_new_path(cr);
+ ClipperLib::cairo::clipper_to_cairo(rect_out, cr, CAIRO_PRECISION, ClipperLib::cairo::tNone);
+ cairo_set_source_rgba (cr, 0.0, 0.0, 0.0, 1.0);
+ /* First, draw into SVG */
+ cairo_fill(cr);
+ cairo_restore(cr);
+
+ /* Second, draw into gerber. */
+ for (const auto &poly : rect_out) {
+ vector<array<double, 2>> out;
+ for (const auto &p : poly)
+ out.push_back(std::array<double, 2>{
+ ((double)p.X) / clipper_scale, ((double)p.Y) / clipper_scale
+ });
+ sink << GRB_POL_CLEAR << out;
+ }
+}
+
+
+
+/* Render image into gerber file.
+ *
+ * This function renders an image into a number of vector primitives emulating the images grayscale brightness by
+ * differently sized vector shaped giving an effect similar to halftone printing used in newspapers.
+ *
+ * On a high level, this function does this in four steps:
+ * 1. It preprocesses the source image at the pixel level. This involves several tasks:
+ * 1.1. It converts the image to grayscale.
+ * 1.2. It scales the image up or down to match the given minimum feature size.
+ * 1.3. It applies a blur depending on the given minimum feature size to prevent aliasing artifacts.
+ * 2. It randomly spread points across the image using poisson disc sampling. This yields points that have a fairly even
+ * average distance to each other across the image, and that have a guaranteed minimum distance that depends on
+ * minimum feature size.
+ * 3. It calculates a voronoi map based on this set of points and it calculats the polygon shape of each cell of the
+ * voronoi map.
+ * 4. It scales each of these voronoi cell polygons to match the input images brightness at the spot covered by this
+ * cell.
+ */
+void gerbolyze::VoronoiVectorizer::vectorize_image(cairo_t *cr, const pugi::xml_node &node, ClipperLib::Paths &clip_path, cairo_matrix_t &viewport_matrix, PolygonSink &sink, double min_feature_size_px) {
+ double x, y, width, height;
+ parse_img_meta(node, x, y, width, height);
+ cv::Mat img = read_img_opencv(node);
+ if (img.empty())
+ return;
+
+ cairo_save(cr);
+ /* Set up target transform using SVG transform and x/y attributes */
+ apply_cairo_transform_from_svg(cr, node.attribute("transform").value());
+ cairo_translate(cr, x, y);
+
+ double orig_rows = img.rows;
+ double orig_cols = img.cols;
+ double scale_x = (double)width / orig_cols;
+ double scale_y = (double)height / orig_rows;
+ double off_x = 0;
+ double off_y = 0;
+ handle_aspect_ratio(node.attribute("preserveAspectRatio").value(),
+ scale_x, scale_y, off_x, off_y, orig_cols, orig_rows);
+
+ /* Adjust minimum feature size given in mm and translate into px document units in our local coordinate system. */
+ double f_x = min_feature_size_px, f_y = 0;
+ cairo_device_to_user_distance(cr, &f_x, &f_y);
+ min_feature_size_px = sqrt(f_x*f_x + f_y*f_y);
+
+ draw_bg_rect(cr, width, height, clip_path, sink, viewport_matrix);
+
+ /* Set up a poisson-disc sampled point "grid" covering the image. Calculate poisson disc parameters from given
+ * minimum feature size. */
+ double grayscale_overhead = 0.8; /* fraction of distance between two adjacent cell centers that is reserved for
+ grayscale interpolation. Larger values -> better grayscale resolution,
+ larger cells. */
+ double center_distance = min_feature_size_px * 2.0 * (1.0 / (1.0-grayscale_overhead));
+ vector<d2p> *grid_centers = get_sampler(m_grid_type)(scale_x * orig_cols, scale_y*orig_rows, center_distance);
+ //vector<d2p> *grid_centers = sample_poisson_disc(width, height, min_feature_size_px * 2.0 * 2.0);
+ //vector<d2p> *grid_centers = sample_hexgrid(width, height, center_distance);
+ //vector<d2p> *grid_centers = sample_squaregrid(width, height, center_distance);
+
+ /* Target factor between given min_feature_size and intermediate image pixels,
+ * i.e. <scale_featuresize_factor> px ^= min_feature_size */
+ double scale_featuresize_factor = 3.0;
+ /* TODO: support for preserveAspectRatio attribute */
+ double px_w = width / min_feature_size_px * scale_featuresize_factor;
+ double px_h = height / min_feature_size_px * scale_featuresize_factor;
+
+ /* Scale intermediate image (step 1.2) to have <scale_featuresize_factor> pixels per min_feature_size. */
+ cv::Mat scaled(cv::Size{(int)round(px_w), (int)round(px_h)}, img.type());
+ cv::resize(img, scaled, scaled.size(), 0, 0);
+ cerr << "scaled " << img.cols << ", " << img.rows << " -> " << scaled.cols << ", " << scaled.rows << endl;
+ img.release();
+
+ /* Blur image with a kernel larger than our minimum feature size to avoid aliasing. */
+ cv::Mat blurred(scaled.size(), scaled.type());
+ int blur_size = (int)ceil(fmax(scaled.cols / width, scaled.rows / height) * center_distance);
+ if (blur_size%2 == 0)
+ blur_size += 1;
+ cerr << "blur size " << blur_size << endl;
+ cv::GaussianBlur(scaled, blurred, {blur_size, blur_size}, 0, 0);
+ scaled.release();
+
+ /* Calculate voronoi diagram for the grid generated above. */
+ jcv_diagram diagram;
+ memset(&diagram, 0, sizeof(jcv_diagram));
+ cerr << "adjusted scale " << scale_x << " " << scale_y << endl;
+ cerr << "voronoi clip rect " << (scale_x * orig_cols) << " " << (scale_y * orig_rows) << endl;
+ jcv_rect rect {{0.0, 0.0}, {scale_x * orig_cols, scale_y * orig_rows}};
+ jcv_point *pts = reinterpret_cast<jcv_point *>(grid_centers->data()); /* hackety hack */
+ jcv_diagram_generate(grid_centers->size(), pts, &rect, 0, &diagram);
+ /* Relax points, i.e. wiggle them around a little bit to equalize differences between cell sizes a little bit. */
+ if (m_relax)
+ voronoi_relax_points(&diagram, pts);
+ memset(&diagram, 0, sizeof(jcv_diagram));
+ jcv_diagram_generate(grid_centers->size(), pts, &rect, 0, &diagram);
+
+ /* For each voronoi cell calculated above, find the brightness of the blurred image pixel below its center. We do
+ * not have to average over the entire cell's area here: The blur is doing a good approximation of that while being
+ * simpler and faster.
+ *
+ * We do this step before generating the cell poygons below because we have to look up a cell's neighbor's fill
+ * factor during gap filling for minimum feature size preservation. */
+ vector<double> fill_factors(diagram.numsites); /* Factor to be multiplied with site polygon radius to yield target
+ fill level */
+ const jcv_site* sites = jcv_diagram_get_sites(&diagram);
+ int j = 0;
+ for (int i=0; i<diagram.numsites; i++) {
+ const jcv_point center = sites[i].p;
+
+ double pxd = (double)blurred.at<unsigned char>(
+ (int)round(center.y / (scale_y * orig_rows / blurred.rows)),
+ (int)round(center.x / (scale_x * orig_cols / blurred.cols))) / 255.0;
+ /* FIXME: This is a workaround for a memory corruption bug that happens with the square-grid setting. When using
+ * square-grid on a fairly small test image, sometimes sites[i].index will be out of bounds here.
+ */
+ if (sites[i].index < fill_factors.size())
+ fill_factors[sites[i].index] = sqrt(pxd);
+ }
+
+ /* Minimum gap between adjacent scaled site polygons. */
+ double min_gap_px = min_feature_size_px;
+ vector<double> adjusted_fill_factors;
+ adjusted_fill_factors.reserve(32); /* Vector to hold adjusted fill factors for each edge for gap filling */
+ /* now iterate over all voronoi cells again to generate each cell's scaled polygon halftone blob. */
+ for (int i=0; i<diagram.numsites; i++) {
+ const jcv_point center = sites[i].p;
+ double fill_factor_ours = fill_factors[sites[i].index];
+
+ /* Do not render halftone blobs that are too small */
+ if (fill_factor_ours * 0.5 * center_distance < min_gap_px)
+ continue;
+
+ /* Iterate over this cell's edges. For each edge, check the gap that would result between this cell's halftone
+ * blob and the neighboring cell's halftone blob based on their fill factors. If the gap is too small, either
+ * widen it by adjusting both fill factors down a bit (for this edge only!), or eliminate it by setting both
+ * fill factors to 1.0 (again, for this edge only!). */
+ adjusted_fill_factors.clear();
+ const jcv_graphedge* e = sites[i].edges;
+ while (e) {
+ /* half distance between both neighbors of this edge, i.e. sites[i] and its neighbor. */
+ /* Note that in a voronoi tesselation, this edge is always halfway between. */
+ double adjusted_fill_factor = fill_factor_ours;
+
+ if (e->neighbor != nullptr) { /* nullptr -> edge is on the voronoi map's border */
+ double rad = sqrt(pow(center.x - e->neighbor->p.x, 2) + pow(center.y - e->neighbor->p.y, 2)) / 2.0;
+ double fill_factor_theirs = fill_factors[e->neighbor->index];
+ double gap_px = (1.0 - fill_factor_ours) * rad + (1.0 - fill_factor_theirs) * rad;
+
+ if (gap_px > min_gap_px) {
+ /* all good. gap is wider than minimum. */
+ } else if (gap_px > 0.5 * min_gap_px) {
+ /* gap is narrower than minimum, but more than half of minimum width. */
+ /* force gap open, distribute adjustment evenly on left/right */
+ double fill_factor_adjustment = (min_gap_px - gap_px) / 2.0 / rad;
+ adjusted_fill_factor -= fill_factor_adjustment;
+ } else {
+ /* gap is less than half of minimum width. Force gap closed. */
+ adjusted_fill_factor = 1.0;
+ }
+ }
+ adjusted_fill_factors.push_back(adjusted_fill_factor);
+ e = e->next;
+ }
+
+ /* Now, generate the actual halftone blob polygon */
+ ClipperLib::Path cell_path;
+ double last_fill_factor = adjusted_fill_factors.back();
+ e = sites[i].edges;
+ j = 0;
+ while (e) {
+ double fill_factor = adjusted_fill_factors[j];
+ if (last_fill_factor != fill_factor) {
+ /* Fill factor was adjusted since last edge, so generate one extra point so we have a nice radial
+ * "step". */
+ double x = e->pos[0].x;
+ double y = e->pos[0].y;
+ x = off_x + center.x + (x - center.x) * fill_factor;
+ y = off_y + center.y + (y - center.y) * fill_factor;
+
+ cairo_user_to_device(cr, &x, &y);
+ cell_path.push_back({ (ClipperLib::cInt)round(x * clipper_scale), (ClipperLib::cInt)round(y * clipper_scale) });
+ }
+
+ /* Emit endpoint of current edge */
+ double x = e->pos[1].x;
+ double y = e->pos[1].y;
+ x = off_x + center.x + (x - center.x) * fill_factor;
+ y = off_y + center.y + (y - center.y) * fill_factor;
+
+ cairo_user_to_device(cr, &x, &y);
+ cell_path.push_back({ (ClipperLib::cInt)round(x * clipper_scale), (ClipperLib::cInt)round(y * clipper_scale) });
+
+ j += 1;
+ last_fill_factor = fill_factor;
+ e = e->next;
+ }
+
+ /* Now, clip the halftone blob generated above against the given clip path. We do this individually for each
+ * blob since this way is *much* faster than throwing a million blobs at once at poor clipper. */
+ ClipperLib::Paths polys;
+ ClipperLib::Clipper c;
+ c.AddPath(cell_path, ClipperLib::ptSubject, /* closed */ true);
+ if (!clip_path.empty()) {
+ c.AddPaths(clip_path, ClipperLib::ptClip, /* closed */ true);
+ }
+ c.StrictlySimple(true);
+ c.Execute(ClipperLib::ctIntersection, polys, ClipperLib::pftNonZero, ClipperLib::pftNonZero);
+
+ /* Export halftone blob to debug svg */
+ cairo_save(cr);
+ cairo_set_matrix(cr, &viewport_matrix);
+ cairo_new_path(cr);
+ ClipperLib::cairo::clipper_to_cairo(polys, cr, CAIRO_PRECISION, ClipperLib::cairo::tNone);
+ cairo_set_source_rgba(cr, 1, 1, 1, 1);
+ cairo_fill(cr);
+ cairo_restore(cr);
+
+ /* And finally, export halftone blob to gerber. */
+ for (const auto &poly : polys) {
+ vector<array<double, 2>> out;
+ for (const auto &p : poly)
+ out.push_back(std::array<double, 2>{
+ ((double)p.X) / clipper_scale, ((double)p.Y) / clipper_scale
+ });
+ sink << GRB_POL_DARK << out;
+ }
+ }
+
+ blurred.release();
+ jcv_diagram_free( &diagram );
+ delete grid_centers;
+ cairo_restore(cr);
+}
+
+void gerbolyze::handle_aspect_ratio(string spec, double &scale_x, double &scale_y, double &off_x, double &off_y, double cols, double rows) {
+
+ if (spec.empty()) {
+ spec = "xMidYMid meet";
+ }
+
+ auto idx = spec.find(" ");
+ string par_align = spec;
+ string par_meet = "meet";
+ if (idx != string::npos) {
+ par_align = spec.substr(0, idx);
+ par_meet = spec.substr(idx+1);
+ }
+
+ if (par_align != "none") {
+ double scale = scale_x;
+ if (par_meet == "slice") {
+ scale = std::max(scale_x, scale_y);
+ } else {
+ scale = std::min(scale_x, scale_y);
+ }
+
+ std::regex reg("x(Min|Mid|Max)Y(Min|Mid|Max)");
+ std::smatch match;
+
+ cerr << "data: " <<" "<< scale_x << "/" << scale_y << ": " << scale << endl;
+ off_x = (scale_x - scale) * cols;
+ off_y = (scale_y - scale) * rows;
+ cerr << rows <<","<<cols<<" " << off_x << "," << off_y << endl;
+ if (std::regex_match(par_align, match, reg)) {
+ assert (match.size() == 3);
+ if (match[1].str() == "Min") {
+ off_x = 0;
+ } else if (match[1].str() == "Mid") {
+ off_x *= 0.5;
+ }
+
+ if (match[2].str() == "Min") {
+ off_y = 0;
+ } else if (match[2].str() == "Mid") {
+ off_y *= 0.5;
+ }
+
+ } else {
+ cerr << "Invalid preserveAspectRatio meetOrSlice value \"" << par_align << "\"" << endl;
+ off_x *= 0.5;
+ off_y *= 0.5;
+ }
+
+ scale_x = scale_y = scale;
+ }
+ cerr << "res: "<< off_x << "," << off_y << endl;
+}
+
+
+void gerbolyze::OpenCVContoursVectorizer::vectorize_image(cairo_t *cr, const pugi::xml_node &node, ClipperLib::Paths &clip_path, cairo_matrix_t &viewport_matrix, PolygonSink &sink, double min_feature_size_px) {
+ double x, y, width, height;
+ parse_img_meta(node, x, y, width, height);
+ cv::Mat img = read_img_opencv(node);
+ if (img.empty())
+ return;
+
+ cairo_save(cr);
+ /* Set up target transform using SVG transform and x/y attributes */
+ apply_cairo_transform_from_svg(cr, node.attribute("transform").value());
+ cairo_translate(cr, x, y);
+
+ double scale_x = (double)width / (double)img.cols;
+ double scale_y = (double)height / (double)img.rows;
+ double off_x = 0;
+ double off_y = 0;
+ handle_aspect_ratio(node.attribute("preserveAspectRatio").value(),
+ scale_x, scale_y, off_x, off_y, img.cols, img.rows);
+
+ draw_bg_rect(cr, width, height, clip_path, sink, viewport_matrix);
+
+ vector<vector<cv::Point>> contours;
+ vector<cv::Vec4i> hierarchy;
+ cv::findContours(img, contours, hierarchy, cv::RETR_TREE, cv::CHAIN_APPROX_TC89_KCOS);
+
+ queue<pair<size_t, bool>> child_stack;
+ child_stack.push({ 0, true });
+
+ while (!child_stack.empty()) {
+ bool dark = child_stack.front().second;
+ for (int i=child_stack.front().first; i>=0; i = hierarchy[i][0]) {
+ if (hierarchy[i][2] >= 0) {
+ child_stack.push({ hierarchy[i][2], !dark });
+ }
+
+ sink << (dark ? GRB_POL_DARK : GRB_POL_CLEAR);
+
+ bool is_clockwise = cv::contourArea(contours[i], true) > 0;
+ if (!is_clockwise)
+ std::reverse(contours[i].begin(), contours[i].end());
+
+ ClipperLib::Path out;
+ for (const auto &p : contours[i]) {
+ double x = off_x + (double)p.x * scale_x;
+ double y = off_y + (double)p.y * scale_y;
+ cairo_user_to_device(cr, &x, &y);
+ out.push_back({ (ClipperLib::cInt)round(x * clipper_scale), (ClipperLib::cInt)round(y * clipper_scale) });
+ }
+
+ ClipperLib::Clipper c;
+ c.AddPath(out, ClipperLib::ptSubject, /* closed */ true);
+ if (!clip_path.empty()) {
+ c.AddPaths(clip_path, ClipperLib::ptClip, /* closed */ true);
+ }
+ c.StrictlySimple(true);
+ ClipperLib::Paths polys;
+ c.Execute(ClipperLib::ctIntersection, polys, ClipperLib::pftNonZero, ClipperLib::pftNonZero);
+
+ /* Finally, translate into Cairo-SVG's document units and draw. */
+ cairo_save(cr);
+ cairo_set_matrix(cr, &viewport_matrix);
+ cairo_new_path(cr);
+ ClipperLib::cairo::clipper_to_cairo(polys, cr, CAIRO_PRECISION, ClipperLib::cairo::tNone);
+ cairo_set_source_rgba (cr, 0.0, 0.0, 0.0, 1.0);
+ /* First, draw into SVG */
+ cairo_fill(cr);
+ cairo_restore(cr);
+
+ /* Second, draw into gerber. */
+ for (const auto &poly : polys) {
+ vector<array<double, 2>> out;
+ for (const auto &p : poly)
+ out.push_back(std::array<double, 2>{
+ ((double)p.X) / clipper_scale, ((double)p.Y) / clipper_scale
+ });
+ sink << out;
+ }
+ }
+
+ child_stack.pop();
+ }
+
+ cairo_restore(cr);
+}
+
+gerbolyze::VectorizerSelectorizer::VectorizerSelectorizer(const string default_vectorizer, const string defs)
+ : m_default(default_vectorizer) {
+ istringstream foo(defs);
+ string elem;
+ while (std::getline(foo, elem, ',')) {
+ size_t pos = elem.find_first_of("=");
+ if (pos == string::npos) {
+ cerr << "Error parsing vectorizer selection string at element \"" << elem << "\"" << endl;
+ continue;
+ }
+
+ const string parsed_id = elem.substr(0, pos);
+ const string mapping = elem.substr(pos+1);
+ m_map[parsed_id] = mapping;
+ }
+
+ cerr << "parsed " << m_map.size() << " vectorizers" << endl;
+ for (auto &elem : m_map) {
+ cerr << " " << elem.first << " -> " << elem.second << endl;
+ }
+}
+
+ImageVectorizer *gerbolyze::VectorizerSelectorizer::select(const pugi::xml_node &img) {
+ const string id = img.attribute("id").value();
+ cerr << "selecting vectorizer for image \"" << id << "\"" << endl;
+ if (m_map.contains(id)) {
+ cerr << " -> found" << endl;
+ return makeVectorizer(m_map[id]);
+ }
+
+ cerr << " -> default" << endl;
+ return makeVectorizer(m_default);
+}
+