记录 ''' 本类用于对比图像相似度 只需要调用comple方法 ''' class VectorCompare: # 计算矢量大小 def magnitude(self, concordance): total = 0 for word, count in concordance.items(): total += count ** 2 return math.sqrt(total) # 计算矢量之间的 cos 值 def relation(self, concordance1, concordance2): relevance = 0 topvalue = 0 for word, count in concordance1.items(): if word in concordance2: topvalue += count * concordance2[word] return topvalue / (self.magnitude(concordance1) * self.magnitude(concordance2)) def buildvector(self,im): d1 = {} count = 0 for i in im.getdata(): d1[count] = i count += 1 return d1 #对比两张图像的相似度 def comple(self,img1,img2): img1=img1.convert("P") img2=img2.convert("P") return self.relation(self.buildvector(img1),self.buildvector(img2)) Previous python实现图像相识度比较 Next 玩转linux之playOnlinux CATALOG FEATURED TAGS Windows Linux MySQL JavaScript Python Caffe Android java php linux React 计算机网络 收藏 Docker Nginx PHP FRIENDS My Github