ML之Cosin：基于输入图片RGB均值化转为单向vector利用Cosin(余弦相似度)算法进行判别

1. def Cosin(self, img_pat1, img_pat2):
2.         image1 = Image.open(img_pat1)
3.         image2 = Image.open(img_pat2)
4. 
5.         image1 = self.get_thum(image1)
6.         image2 = self.get_thum(image2)
7.         image1_array = np.array(image1)
8.         images = [image1, image2]
9.         vectors = []
10.         norms = []
11. for image in images:
12.             vector = []
13. for pixel_tuple in image.getdata(): 
14.                 vector.append(average(pixel_tuple))
15.             vectors.append(vector)
16.             norms.append(linalg.norm(vector, 2)) 
17.         vectors_array=np.array(vectors)
18.         a, b = vectors
19.         a_array=np.array(a)
20.         a_norm, b_norm = norms
21.         res = dot(a / a_norm, b / b_norm)      
22. return res