Python ValueError:listdir:路径中嵌入了空字符

Python ValueError:listdir:路径中嵌入了空字符,python,image-processing,keras,deep-learning,cnn,Python,Image Processing,Keras,Deep Learning,Cnn,我使用此代码生成更多数据 我首先阅读图像和标签,将它们转换为numpy数组并添加额外的维度 但在运行代码时会出现此错误 文件“C:\Users\abirf\AppData\Local\Continuum\anaconda3\envs\deep\u learning\lib\site packages\keras\u preprocessing\image\directory\u iterator.py”,第106行,在init 对于已排序(os.listdir(目录))中的子目录: ValueE

我使用此代码生成更多数据 我首先阅读图像和标签,将它们转换为numpy数组并添加额外的维度

但在运行代码时会出现此错误

文件“C:\Users\abirf\AppData\Local\Continuum\anaconda3\envs\deep\u learning\lib\site packages\keras\u preprocessing\image\directory\u iterator.py”,第106行,在init 对于已排序(os.listdir(目录))中的子目录:

ValueError:listdir:路径中嵌入了空字符

path_folder = "C/train_data"
for i in glob.glob('/train_data/img/*.*'):
    x_train = cv2.imread(i)
    x_train = img_to_array(x_train)
    x_train = np.expand_dims(x_train, axis=-1) 

for n in glob.glob('train_data/msk/*.*'):
    y_train = cv2.imread(n)
    y_train = img_to_array(y_train)
    y_train = np.expand_dims(y_train, axis=-1)

    
    
    
data_gen_args = dict(#featurewise_center=True,
                     #featurewise_std_normalization=True,
                     rotation_range=45.,
                     width_shift_range=0.1,
                     height_shift_range=0.1,
                     zoom_range=[0,2])


image_datagen =ImageDataGenerator(**data_gen_args)
mask_datagen =ImageDataGenerator(**data_gen_args)

seed = 1 
image_datagen.fit(x_train, augment=True, seed=seed)
mask_datagen.fit(y_train, augment=True, seed=seed)

image_generator = mask_datagen.flow_from_directory(x_train, class_mode=None, seed=seed,target_size=(img_col,img_row),color_mode='grayscale')
mask_generator = mask_datagen.flow_from_directory(y_train, class_mode=None, seed=seed,target_size=(img_col, img_row),color_mode='grayscale')

train_generator =  zip(image_generator, mask_generator)

num_train = len(image_generator)


history = model.fit(train_generator, steps_per_epoch=num_train/32, shuffle=True, validation_split=0.1 , batch_size=32, epochs=50,callbacks=[earlystopper, checkpointer]