filepath = "model.h5" checkpoint = ModelCheckpoint(filepath, monitor='val_top_3_accuracy', verbose=1, save_best_only=True, mode='max') reduce_lr = ReduceLROnPlateau(monitor='val_top_3_accuracy', factor=0.5, patience=2, verbose=1, mode='max', min_lr=0.00001) callbacks_list = [checkpoint, reduce_lr] history = model.fit_generator(datagen.flow(x_train,y_train, batch_size=batch_size), class_weight=class_weights, validation_data=(x_validate,y_validate),steps_per_epoch=x_train.shape[0] // batch_size, epochs=10, verbose=1, callbacks=callbacks_list)报错 ValueError: Input 0 is incompatible with layer model_5: expected shape=(None, 224, 224, 3), found shape=(None, 100, 125, 3)
时间: 2023-12-20 08:04:53 浏览: 57
my_model.h5
这个报错的意思是模型期望的输入形状为(None, 224, 224, 3),但是实际输入的形状为(None, 100, 125, 3),即输入的图片大小不符合模型的要求。你需要检查一下你的模型结构,看一下输入层的形状是不是(224, 224, 3),如果是的话,就需要调整你的输入数据的大小,让它符合模型的要求。或者你也可以考虑修改你的模型结构,使其适应你当前的输入数据。
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