2017-09-27 28 views
0

我正在關注datacamp.com上的Tensorflow教程。 https://www.datacamp.com/community/tutorials/tensorflow-tutorial#gs.ljKz3uIPython列表函數ndim和大小

我停留在這一點上的代碼,其中代碼是指打印使用NDIM大小列表的大小和尺寸。我收到一個錯誤「list object has no attribute ndim。」

`進口OS

import skimage 

import pdb 

from skimage import data 
ROOT_PATH = "/tmp/" 
train_data_directory =os.path.join(ROOT_PATH, 
\mozilla_vijaya0/Training") 
test_data_directory = os.path.join(ROOT_PATH, 
"mozilla_vijaya0/Testing") 
def load_data(data_directory): 
directories = [d for d in os.listdir(data_directory) 
       if os.path.isdir(os.path.join(data_directory, d))] 
labels = [] 
images = [] 
for d in directories: 
    label_directory = os.path.join(data_directory, d) 
    file_names = [os.path.join(label_directory, f) 
        for f in os.listdir(label_directory) 
        if f.endswith(".ppm")] 
    for f in file_names: 
     images.append(skimage.data.imread(f)) 
     labels.append(int(d)) 
return images, labels 

images, labels = load_data(train_data_directory) 
print(images.ndim) 
print(images.size) 
images[0]` 

什麼是顯示列表的尺寸和大小的正確途徑。

回答

1

使用以下命令

images = np.array(images) 

現在圖像轉換成numpy的數組,你將能夠運行

print(images.ndim) 
print(images.size)