我试图使用我对 Keras 文档中示例代码的修改，该文档展示了在使用图像掩码代替标签的情况下如何设置 image_datagen.flow_from_directory() （用于图像分割，我们在其中预测一个类）对于每个像素）。
顺便说一下，我设置了 featurewise_center = True ，试图从每个图像的颜色通道中减去所有训练图像的每个颜色通道的平均值，这样在整个训练集中，每个颜色通道的平均值将为 0。我希望这样不是实现此目的的方法。
无论如何，这是我生成错误的代码：
image_datagen = ImageDataGenerator(featurewise_center = True)
mask_datagen = ImageDataGenerator()
image_generator = image_datagen.flow_from_directory(
'/home/icg/Martin/train_data_graz/images_rect_r640x360',
class_mode = None,
batch_size = 1,
seed = 123)
mask_generator = mask_datagen.flow_from_directory(
'/home/icg/Martin/train_data_graz/labels_rect_r640x360',
class_mode = None,
batch_size = 1,
seed = 123)
# combine generators into one which yields image and masks
train_generator = zip(image_generator, mask_generator)
model.fit_generator(
train_generator,
steps_per_epoch = 1000,
epochs = 100)
这是错误消息：
Found 0 images belonging to 0 classes.
Found 0 images belonging to 0 classes.
Traceback (most recent call last):
File "FCN_VGG16.py", line 178, in <module>
train_generator = zip(image_generator, mask_generator)
File "/home/icg/rafa/local/lib/python2.7/site-packages/keras/preprocessing/image.py", line 1026, in next
index_array, current_index, current_batch_size = next(self.index_generator)
File "/home/icg/rafa/local/lib/python2.7/site-packages/keras/preprocessing/image.py", line 720, in _flow_index
current_index = (self.batch_index * batch_size) % n
ZeroDivisionError: integer division or modulo by zero
由于某种原因 n = 0。有什么想法为什么会发生这种情况吗？
