如何解决无法从数据集中获取数据解包的值太多预期为 2
以下行是我的图像数据集的存储位置:
img_folder = r'/Users/joshu/Desktop/Level 6 Year 2/Semester 2/ITProject/car-segmentation/images/'
在下面我将创建数据集:
train_ds = tf.keras.preprocessing.image_dataset_from_directory(
img_folder,validation_split=0.2,subset="training",seed=123,image_size=(img_height,img_width),batch_size=batch_size
)
在以下函数中,我试图获取数据:
def get_data():
# generate dataset
X,y = train_ds
# split into train and test
n_test = 500
trainX,testX = X[:n_test,:],X[n_test:,:]
trainy,testy = y[:n_test],y[n_test:]
return trainX,trainy,testX,testy
追溯:
Traceback (most recent call last):
File "C:\Users\joshu\Desktop\Level 6 Year 2\Semester 2\ITProject\Git\itproject62b\src\prototype.py",line 63,in <module>
trainX,testy = get_data()
File "C:\Users\joshu\Desktop\Level 6 Year 2\Semester 2\ITProject\Git\itproject62b\src\prototype.py",line 43,in get_data
X,y = train_ds
ValueError: too many values to unpack (expected 2)
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