小编Raj*_*ath的帖子

我正在尝试使用中文耳语算法进行面部聚类.我已经使用DLIB和Python,用于提取每个面的特征和如在由Davisking描述映射到128 d矢量https://github.com/davisking/dlib/blob/master/examples/dnn_face_recognition_ex.cpp.

然后我按照那里的指示构建了一个图表.我实现了中文耳语算法并应用于此图.谁能告诉我我做了什么错？任何人都可以使用中文耳语算法上传面部聚类的python代码吗？这是我的中国私语代码:

import networkx as nx
import random
from random import shuffle
import math
def chinese_whispers(nodes,edges,iterations):
    G = nx.Graph()
    G.add_nodes_from(nodes)
    #print(G.node)
    for n, v in enumerate(nodes):
        G.node[n]['class'] = v
        #print(n,v)
    G.add_edges_from(edges)
    #gn=G.nodes()
    #for node in gn:
    #print((node,G[node],G.node,G.node[node]))
    #(0, {16: {'weight': 0.49846761956907698}, 14: {'weight': 0.55778036559581601}, 7: {'weight': 0.43902511314524784}}, {'class': 0})
    for z in range(0, iterations):
        gn = G.nodes()
    # I randomize the nodes to give me an arbitrary start point
        shuffle(gn)
        for node in gn:
            neighs = G[node] …