StopIteration:无法导入PIL.Image.使用array_to_img需要PIL错误 [英] StopIteration: Could not import PIL.Image. The use of `array_to_img` requires PIL error

问题描述

import keras
Using TensorFlow backend.
from keras.preprocessing.image import ImageDataGenerator
train_datagen = ImageDataGenerator(
    rescale=1./255,
    shear_range=0.2,
    zoom_range=0.2,
    horizontal_flip=True)

test_datagen = ImageDataGenerator(rescale=1./255)

training_set = train_datagen.flow_from_directory(
                                            'E:/Python/A-
                      Z/Convolutional_Neural_Networks/dataset/training_set',
                                            target_size=(64, 64),
                                            batch_size=32,
                                            class_mode='binary')

test_set = test_datagen.flow_from_directory(
                                        'E:/Python/A-
                          Z/Convolutional_Neural_Networks/dataset/test_set',
                                        target_size=(64, 64),
                                        batch_size=32,
                                        class_mode='binary')

classifier.fit_generator(
                training_set,
                steps_per_epoch=8000,
                epochs=25,
                validation_data=test_set,
                validation_steps=2000)

请帮助我是这个CNN的初学者，我正在使用keras对任务进行编程，但是出现上述错误(标题中给出) 我尝试安装然后卸载枕头 但是没有任何工作，它显示了相同的错误，我也尝试了其他一些StackOverflow答案，但是它们也没有工作

please help I am a beginner in this CNN I am using keras to program the task but I am getting the above error(given in the title) I have tried installing and then uninstalling pillow but nothing working it is showing the same error I have also tried some other StackOverflow answers but they are also not working

推荐答案

我遇到了与您相同的错误. 这是我的环境: 我在anaconda中创建"tensorflow" env，使用python 3.6内核，激活env，然后

I came the same error as you. this is my environment: I create "tensorflow" env in anaconda, python 3.6 kernel,activate the env, then

pip install tensorflow

pip install keras

pip install pillow

并且错误已修复.

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