np.load()报错ValueError: Object arrays cannot be loaded when allow_pickle=False

Bertha 。 2023-02-27 08:05 1阅读 0赞

## np.load()报错ValueError: Object arrays cannot be loaded when allow\_pickle=False ##

#### 代码 ####

weights = np.load(local_weights_file, encoding='bytes').item()

#### 报错信息 ####

---------------------------------------------------------------------------
    ValueError                                Traceback (most recent call last)
    <ipython-input-2-db8068d82fff> in <module>()
    ----> 1 pretrained_weights, readable_labels = helpers_06.fetch_alexnet_weights_and_classes()
    
     in fetch_alexnet_weights_and_classes()
         52     local_labels_file = maybe_download(remote_labels_file, url, directory)
         53 
    ---> 54     weights = np.load(local_weights_file, encoding='bytes').item()
         55 
         56     # ugly:  but that's how guerzhoy provides the names
    
    ~/.local/lib/python3.6/site-packages/numpy/lib/npyio.py in load(file, mmap_mode, allow_pickle, fix_imports, encoding)
        438             else:
        439                 return format.read_array(fid, allow_pickle=allow_pickle,
    --> 440                                          pickle_kwargs=pickle_kwargs)
        441         else:
        442             # Try a pickle
    
    ~/.local/lib/python3.6/site-packages/numpy/lib/format.py in read_array(fp, allow_pickle, pickle_kwargs)
        725         # The array contained Python objects. We need to unpickle the data.
        726         if not allow_pickle:
    --> 727             raise ValueError("Object arrays cannot be loaded when "
        728                              "allow_pickle=False")
        729         if pickle_kwargs is None:
    
    ValueError: Object arrays cannot be loaded when allow_pickle=False

### 解决方法 ###

weights = np.load(local_weights_file, encoding='bytes' ,allow_pickle=True).item()

np.load() 加入 allow\_pickle=True