feat: select level verticies

src/main.py

@@ -1,7 +1,8 @@
-import obja.obja
+from obja import obja
 import numpy as np
 import itertools
 
+
 def sliding_window(iterable, n=2):
     iterables = itertools.tee(iterable, n)
 
@@ -13,16 +14,24 @@ def sliding_window(iterable, n=2):
 
 
 class MAPS(obja.Model):
+    """_summary_
+
+    Args:
+        obja (_type_): _description_
     """
-    A simple class that decimates a 3D model stupidly.
+
-    """
     def __init__(self):
         super().__init__()
         self.deleted_faces = set()
 
     def one_ring(self, index: int) -> list[int]:
-        """
+        """ Return the corresponding 1-ring
-        Return the vertex indices of the corresponding 1-ring.
+
+        Args:
+            index (int): index of the 1-ring's main vertex
+
+        Returns:
+            list[int]: ordered list of the 1-ring vertices
         """
 
         # Find the 1-ring faces
@@ -41,8 +50,8 @@ class MAPS(obja.Model):
             prev_index = ring[-1]
             for i, face in enumerate(ring_faces):
                 if prev_index in (face.a, face.b, face.c):
-                    # if the previous index is in the current face
+                    # Found the face that correspond to the next vertex
-                    current_index = (
+                    current_index = (  # select the next vertex from the face
                         face.a if face.a != index and face.a != prev_index else
                         face.b if face.b != index and face.b != prev_index else
                         face.c
@@ -53,8 +62,15 @@ class MAPS(obja.Model):
 
         return ring
 
-
     def compute_area_curvature(self, index: int) -> tuple[float, float]:
+        """ Compute area and curvature the corresponding 1-ring
+
+        Args:
+            index (int): index of the 1-ring's main vertex
+
+        Returns:
+            tuple[float, float]: area and curvature
+        """
         area_sum = 0
         curvature_sum = 0
         one_ring_vertices = self.one_ring(index)
@@ -72,12 +88,80 @@ class MAPS(obja.Model):
             area_sum += area
 
             curvature = 4 * area / (  # compute the curvature
-                np.linalg.norm(p1-p2) * np.linalg.norm(p2-p3) * np.linalg.norm(p3-p1)
+                np.linalg.norm(p1-p2) *
+                np.linalg.norm(p2-p3) *
+                np.linalg.norm(p3-p1)
             )
             curvature_sum += curvature
 
-        return area_sum, curvature_sum
+        return area_sum, curvature_sum, len(one_ring_vertices)
 
+    def compute_priority(self, lamb: float = 0.5, max_length: int = 12) -> list[float]:
+        """ Compute selection priority of vertices (0 -> hight priority 1 -> low priority)
+
+        Args:
+            lamb (float, optional): convex combination factor. Defaults to 0.5.
+            max_length (int, optional): 1-ring maximum length to be prioritary. Defaults to 12.
+
+        Returns:
+            list[float]: priority values
+        """
+        # Compute area and curvature for each vertex
+        areas, curvatures, ring_lengths = [], [], []
+        for i in range(len(self.vertices)):
+            area, curvature, ring_length = self.compute_area_curvature(i)
+            areas.append(area)
+            curvatures.append(curvature)
+            ring_lengths.append(ring_length)
+
+        # Get maxes to normalize
+        max_area = max(areas)
+        max_curvature = max(curvatures)
+
+        # Compute priorities
+        priorities = []
+        for a, k, l in zip(areas, curvatures, ring_lengths):
+            if l <= max_length:
+                # Compute priority
+                priority = lamb * a / max_area + (1 - lamb) * k / max_curvature
+            else:
+                # Vertex with low priority
+                priority = 1.0
+            priorities.append(priority)
+
+        return priorities
+
+    def select_vertices(self) -> list[int]:
+        """ Select vertices for the current level reduction
+
+        Returns:
+            list[int]: selected vertices
+        """
+        remaining_faces = self.faces.copy()
+
+        # Order vertices by priority
+        priorities = self.compute_priority()
+        vertices = [i[0]
+                    for i in sorted(enumerate(priorities), key=lambda p: p[1])]
+
+        selected_vertices = []
+        while len(vertices) > 0:
+            # Select prefered vertex
+            vertex = vertices.pop(0)  # remove it from remaining vertices
+            selected_vertices.append(vertex)
+
+            # Remove neighbors
+            for face in remaining_faces:
+                face_vertices = (face.a, face.b, face.c)
+                if vertex in face_vertices:
+
+                    # Remove face and face's vertices form remainings
+                    remaining_faces.remove(face)
+                    for face_vertex in face_vertices:
+                        if face_vertex in vertices:
+                            vertices.remove(face_vertex)
+
+        return selected_vertices
 
     # def contract(self, output):
     #     """
@@ -118,6 +202,7 @@ class MAPS(obja.Model):
     #         else:
     #             output_model.edit_vertex(index, value)
 
+
 def main():
     """
     Runs the program on the model given as parameter.