用于训练数据集的 model.fit_generator 出错 [重复]

Question

我正在训练一个卷积神经网络来对特定语言（古吉拉特语）的 11 个不同字符的 11 个类别进行分类。以下是我的代码：

TRAINING_DIR = "/tmp/characters/train1_set/"

train_datagen = ImageDataGenerator(rescale=1./255,
                                   shear_range=0.2,
                                   zoom_range=0.2,
                                   horizontal_flip=True)

train_generator = train_datagen.flow_from_directory(TRAINING_DIR,
                                                    batch_size=64,
                                                    class_mode='categorical',
                                                    target_size=(64,64))

VALIDATION_DIR = "/tmp/characters/test1_test/"

validation_datagen = ImageDataGenerator(rescale=1./255)
validation_generator = validation_datagen.flow_from_directory(VALIDATION_DIR,
                                                              batch_size=64,
                                                              class_mode='categorical',
                                                              target_size=(64,64))

model = tf.keras.models.Sequential([
    tf.keras.layers.Conv2D(32, (3, 3), activation='relu', input_shape=(64, 64, 3)),
    tf.keras.layers.MaxPooling2D(2, 2),
    tf.keras.layers.Conv2D(32, (3, 3), activation='relu'),
    tf.keras.layers.MaxPooling2D(2, 2),
    tf.keras.layers.Conv2D(32, (3, 3), activation='relu'),
    tf.keras.layers.MaxPooling2D(2, 2),
    tf.keras.layers.Flatten(),
    tf.keras.layers.Dense(128, activation='relu'),
    
    tf.keras.layers.Dense(11, activation='softmax')
])

model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['acc'])

history = model.fit_generator(train_generator,
                              steps_per_epoch = 8000,
                              epochs = 30, 
                              verbose = 1,  
                              validation_data=validation_generator)

但我收到以下错误：

UnidentifiedImageError                    Traceback (most recent call last)
<ipython-input-25-04de914ce972> in <module>()
      3                               epochs = 30,
      4                               verbose = 1,
----> 5                               validation_data=validation_generator)
      6 

11 frames
/usr/local/lib/python3.6/dist-packages/PIL/Image.py in open(fp, mode)
   2860         warnings.warn(message)
   2861     raise UnidentifiedImageError(
-> 2862         "cannot identify image file %r" % (filename if filename else fp)
   2863     )
   2864 

UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f338ba64938>

请帮我解决问题！！！提前致谢。

Answer 1

ImageDataGenerator 试图读取的文件似乎不是图像或可能是缺陷图像。您可以使用Pillow 非常轻松地检测这些类型的缺陷。但是，此处显示的verify() 方法不会检测到截断的图像。你可以使用这样的东西-

try:
  im = Image.load(filename)
  im.verify()
  im.close()
except: 
  #exceptions