Region Query API

src/esp/bindings/SceneBindings.cpp

@@ -230,7 +230,14 @@ void initSceneBindings(py::module& m) {
       .def_property_readonly("semantic_index_map",
                              &SemanticScene::getSemanticIndexMap)
       .def("semantic_index_to_object_index",
-           &SemanticScene::semanticIndexToObjectIndex);
+           &SemanticScene::semanticIndexToObjectIndex)
+      .def("get_regions_for_point", &SemanticScene::getRegionsForPoint,
+           "Compute all SemanticRegions which contain the point and return a "
+           "list of indices for the regions in this SemanticScene.")
+      .def("get_regions_for_points", &SemanticScene::getRegionsForPoints,
+           "Compute SemanticRegion containment for a set of points. Return a "
+           "sorted list of tuple pairs with each containing region index and "
+           "the percentage of points contained by that region.");
 
   // ==== ObjectControls ====
   py::class_<ObjectControls, ObjectControls::ptr>(m, "ObjectControls")

src/esp/scene/SemanticScene.cpp

@@ -591,5 +591,38 @@ std::vector<uint32_t> SemanticScene::buildSemanticOBBs(
   return unMappedObjectIDXs;
 }  // SemanticScene::buildSemanticOBBs
 
+std::vector<int> SemanticScene::getRegionsForPoint(
+    const Mn::Vector3& point) const {
+  std::vector<int> containingRegions;
+  for (int rix = 0; rix < regions_.size(); ++rix) {
+    if (regions_[rix]->contains(point)) {
+      containingRegions.push_back(rix);
+    }
+  }
+  return containingRegions;
+}
+
+std::vector<std::pair<int, float>> SemanticScene::getRegionsForPoints(
+    const std::vector<Mn::Vector3>& points) const {
+  std::vector<std::pair<int, float>> containingRegionWeights;
+  for (int rix = 0; rix < regions_.size(); ++rix) {
+    float containmentCount = 0;
+    for (const auto& point : points) {
+      if (regions_[rix]->contains(point)) {
+        containmentCount += 1;
+      }
+    }
+    if (containmentCount > 0) {
+      containingRegionWeights.emplace_back(
+          std::pair<int, float>(rix, containmentCount / points.size()));
+    }
+  }
+  std::sort(containingRegionWeights.begin(), containingRegionWeights.end(),
+            [](const std::pair<int, float>& a, std::pair<int, float>& b) {
+              return a.second > b.second;
+            });
+  return containingRegionWeights;
+}
+
 }  // namespace scene
 }  // namespace esp

src/esp/scene/SemanticScene.h

@@ -284,6 +284,24 @@ class SemanticScene {
    */
   float CCFractionToUseForBBox() const { return ccLargestVolToUseForBBox_; }
 
+  /**
+   * @brief Compute all SemanticRegions which contain the point and return a
+   * list of indices for regions in this SemanticScene.
+   * @param point The query point.
+   * @return A list of indices for regions which contain the point.
+   */
+  std::vector<int> getRegionsForPoint(const Mn::Vector3& point) const;
+
+  /**
+   * @brief Compute SemanticRegion containment for a set of points.
+   * @param points A set of points to test for semantic containment.
+   * @return std::vector<std::pair<int, float>> A sorted list of tuples
+   * containing region index and percentage of input points contained in that
+   * region.
+   */
+  std::vector<std::pair<int, float>> getRegionsForPoints(
+      const std::vector<Mn::Vector3>& points) const;
+
  protected:
   /**
    * @brief Verify a requested file exists.

tests/test_semantic_scene.py

@@ -5,6 +5,7 @@
 # LICENSE file in the root directory of this source tree.
 
 from os import path as osp
+from typing import List
 
 import magnum as mn
 import pytest
@@ -50,7 +51,7 @@ def test_semantic_regions():
         assert len(regions) == 2
 
         # Build a list of points within the region
-        hit_test_points = 6 * [None]
+        hit_test_points: List[mn.Vector3] = 6 * [None]
         hit_test_points[0] = mn.Vector3(-5.1, 0.0, 0.01)
         hit_test_points[1] = mn.Vector3(-5.1, 1.0, 0.01)
         hit_test_points[2] = mn.Vector3(-5.1, -1.0, 0.01)
@@ -92,6 +93,18 @@ def test_semantic_regions():
         assert not region.contains(miss_test_points[4])
         assert not region.contains(miss_test_points[5])
 
+        # check batch containment routines
+        for point in hit_test_points:
+            assert 0 in semantic_scene.get_regions_for_point(point)
+        for point in miss_test_points:
+            assert 0 not in semantic_scene.get_regions_for_point(point)
+
+        regions_weights = semantic_scene.get_regions_for_points(
+            hit_test_points + miss_test_points
+        )
+        assert regions_weights[0][0] == 0
+        assert regions_weights[0][1] >= 0.49  # half or more points contained
+
         # positive X region
         region = regions[1]
         assert region.id == "test_region_positiveX"
@@ -117,6 +130,21 @@ def test_semantic_regions():
         assert not region.contains(-1 * miss_test_points[4])
         assert not region.contains(-1 * miss_test_points[5])
 
+        # mix the bathroom and kitchen points
+        mixed_points: List[mn.Vector3] = list(hit_test_points[1:]) + [
+            (-1 * p) for p in hit_test_points
+        ]  # add one less to create imbalance
+        regions_weights = semantic_scene.get_regions_for_points(mixed_points)
+        print(f"regions_weights = {regions_weights}")
+        assert regions_weights[0][0] == 1  # bathroom with more points comes first
+        assert (
+            regions_weights[0][1] >= 0.51
+        )  # more than half points contained in bathroom
+        assert regions_weights[1][0] == 0  # kitchen with fewer points is second
+        assert (
+            abs(regions_weights[1][1] - (1.0 - regions_weights[0][1])) < 0.001
+        )  # kitchen should have the remainder of total percent
+
 
 @pytest.mark.parametrize("scene", _test_scenes)
 def test_semantic_scene(scene, make_cfg_settings):