如何在python中保存词袋数据？

Question

这是我的代码：

sift=cv2.xfeatures2d.SIFT_create()
descriptors_unclustered=[]
dictionarysize=800
BOW=cv2.BOWKmeansTrainer(dictionarysize)
for p in training-paths :
    kp,dsc=sift.detectAndCompute(image,None)
    BOW.add(dsc)

dictionary=BOW.cluster()
bowdiction=cv2.BOWImgDescriptorExtractor(sift, cv2.BFMatcher(cv2.NORM_L2))
bowdiction.setvocabulary(dictionary)

我想保存这个弓形文字数据以便以后使用。我不想每次都等待这些计算，所以我如何保存这些数据？在

Answer 1

使用pickle进行此操作

1. 将弓保存到pickle：

   import pickle
   
   sift=cv2.xfeatures2d.SIFT_create()
   descriptors_unclustered=[]
   dictionarysize=800
   BOW=cv2.BOWKmeansTrainer(dictionarysize)
   for p in training-paths :
       kp,dsc=sift.detectAndCompute(image,None)
       BOW.add(dsc)
   
   with open('bow_pickle.pickle', 'wb') as f:
   pickle.dump(f)
   

2. 从pickle返回数据：

   import pickle    
   with open('bow_pickle.pickle', 'rb') as f:
       BOW = pickle.load(f)    
   dictionary=BOW.cluster()
   bowdiction=cv2.BOWImgDescriptorExtractor(sift,cv2.BFMatcher(cv2.NORM_L2))
   bowdiction.setvocabulary(dictionary)