如何在python中保存單詞數據包？

Question

這裏是我的代碼：

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) 

我要救這個bowdiction數據以後使用它。我不想每次都等待這些計算，那麼如何保存這些數據？

Answer 1

使用pickle此

1. 保存低頭泡菜：

   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. 返回的從泡菜數據：

   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)