[英]Errors in Multi class image classification using CNN
I'm fairly new to CNN and python and I'm trying to classify images consisting of 3 classes.我对 CNN 和 python 相当陌生,我正在尝试对由 3 个类组成的图像进行分类。 Whenever I try to train my model I get the error: TypeError: Cannot convert 0.6 to EagerTensor of dtype int64.每当我尝试训练我的模型时,我都会收到错误消息:TypeError:无法将 0.6 转换为 dtype int64 的 EagerTensor。 I'm not fully sure what to make of this or how to fix it and would appreciate any help.我不完全确定该怎么做或如何解决它,并希望得到任何帮助。
Here's the code :这是代码:
train_gen=ImageDataGenerator(rescale=1./255)
validation_gen=ImageDataGenerator(rescale=1./255)
train_generator=train_gen.flow_from_dataframe(
train_df,
"/Users/danieladegborioye/Documents/school/FIFTH YEAR/ENGR 418 Applied Machine learning /Lego_dataset_1/training/",
x_col='filename',
y_col='category',
target_size=(150,150),
class_mode="categorical",
batch_size=32
)
validation_generator=validation_gen.flow_from_dataframe(
validate_df,
"/Users/danieladegborioye/Documents/school/FIFTH YEAR/ENGR 418 Applied Machine learning /Lego_dataset_1/training/",
x_col='filename',
y_col='category',
target_size=(150,150),
class_mode="categorical",
batch_size=32
)
epochs=10
batch_size=10
history=modell.fit(
train_generator,
epochs=epochs,
validation_data=validation_generator,
validation_steps=total_validate/batch_size,
steps_per_epoch=total_train/batch_size,
callbacks=callbacks
)
如果batch_size
大于total_validate
或total_train
,则steps_per_epoch
将小于 1,这会导致此'TypeError: Cannot convert 0.6 to EagerTensor of dtype int64'
。
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