这几天在看有关deep learning with r这本书，在看到CNN网络做图片识别那一章节，调试代码的时候发现，使用keras包中的fit_generator函数无法读取输入的图片生成器（train_generator），报错“UnidentifiedImageError:cannot identify image file"

查了很久也不知道如何解决这个问题，于是求问大佬们，是否有替代方案？

输入图片的格式是150×150，位深为3

以下是原代码：

train_datagen <- image_data_generator(rescale = 1/255)

validation_datagen <- image_data_generator(rescale = 1/255)

train_generator <- flow_images_from_directory(

train_dir, # target directory

train_datagen, # training data generator

target_size = c(150, 150), # resize all images

batch_size = 60,

class_mode = "binary" # because we use binary_crossentropy loss, we need binary labels

)

validation_generator <- flow_images_from_directory(

validation_dir,

validation_datagen,

target_size = c(150, 150),

batch_size = 60,

class_mode = "binary"

)

# output of thee generators is batches of 150x150 RGB images (shape(20, 150, 150, 3)) and binary labels(shape(20))

history <- model %>% fit_generator(

train_generator,

steps_per_epoch = 5,

epochs = 20,

validation_data = validation_generator,

validation_steps = 5

)