コード例 #1
0
def make_spanning_tree(glyphs, k=None):
   if k is None:
      k = knn.kNNInteractive()
   uniq_dists = k.distance_matrix(glyphs, 0)
   g = graph.Undirected()
   g.create_minimum_spanning_tree(glyphs, uniq_dists)
   return g
コード例 #2
0
ファイル: classify.py プロジェクト: alan0526/Gamera
 def _pregroup(self, glyphs, function):
     G = graph.Undirected()
     G.add_nodes(glyphs)
     progress = util.ProgressFactory("Pre-grouping glyphs...", len(glyphs))
     try:
         for i in range(len(glyphs)):
             gi = glyphs[i]
             for j in range(i + 1, len(glyphs)):
                 gj = glyphs[j]
                 if function(gi, gj):
                     G.add_edge(gi, gj)
             progress.step()
     finally:
         progress.kill()
     return G
コード例 #3
0
   def _pregroup(self, glyphs, function):
      from gamera import graph
      G = graph.Undirected()
      # assert G.add_nodes(glyphs)
      #  TODO only for testing
      for glyph in glyphs:
         print(glyph)
         assert G.add_node(glyph)
         assert G.has_node(glyph)

      progress = util.ProgressFactory("Pre-grouping glyphs...", len(glyphs))
      try:
         for i in range(len(glyphs)):
            gi = glyphs[i]
            for j in range(i + 1, len(glyphs)):
               gj = glyphs[j]
               if function(gi, gj):
                  G.add_edge(gi, gj)
            progress.step()
      finally:
         progress.kill()
      return G