%matplotlib inlineimport matplotlib.pyplot as pltfrom PIL import Imagefrom keras.preprocessing import imageimport glob# 设置生成器参数datagen = image.ImageDataGenerator(fill_mode='wrap', zoom_range=[4, 4])gen_data = datagen.flow_from_directory(PATH, batch_size=1, shuffle=False, save_to_...
Class tf.keras.preprocessing.image.ImageDataGenerator Generate batches of tensor image data with real-time data augmentation. __init__ __init__( featurewise_center=False, samplewise_center=False, featurewise_std_normalization=False, samplewise_std_normalization=False, zca_whitening=False, zca_epsilo...
"binary" will be 1D binary labels, "sparse" will be 1D integer labels. If None, no labels are returned (the generator will only yield batches of image data, which is useful to
preprocessing_function: 将被应用于每个输入的函数。该函数将在图片缩放和数据提升之后运行。该函数接受一个参数,为一张图片(秩为3的numpy array),并且输出一个具有相同shape的numpy array data_format:字符串,“channel_first”或“channel_last”之一,代表图像的通道维的位置。该参数是Keras 1.x中的image_dim_ord...
keras_preprocessing.image.image_data_generator.ImageDataGenerator.flow_from_directory() 获取目录路径并生成一批增强数据。 def flow_from_directory(self, directory: Any, target_size: Tuple[int, int] = (256, 256), color_mode: str = 'rgb', classes: Any = None, class_mode: str = 'categorical...
keras.preprocessing.image.ImageDataGenerator(featurewise_center=False,samplewise_center=False,featurewise_std_normalization=False,samplewise_std_normalization=False,zca_whitening=False,zca_epsilon=1e-6,rotation_range=0.,width_shift_range=0.,height_shift_range=0.,shear_range=0.,zoom_range=0.,channel_...
1. ImageDataGenerator 类 下面是关于ImageDataGenerator 类的参数说明 keras.preprocessing.image.ImageDataGenerator(featurewise_center=False, samplewise_center=False, featurewise_std_normalization=False, samplewise_std_normalization=False, zca_whitening=False, zca_epsilon=1e-06, rotation_range=0, wi...
preprocessing_function: 将被应用于每个输入的函数。该函数将在图片缩放和数据提升之后运行。该函数接受一个参数,为一张图片(秩为3的numpy array),并且输出一个具有相同shape的numpy array data_format:字符串,“channel_first”或“channel_last”之一,代表图像的通道维的位置。该参数是Keras 1.x中的image_dim_ord...
我们先来看看ImageDataGenerator的官方说明(https://keras.io/preprocessing/image/): keras.preprocessing.image.ImageDataGenerator(featurewise_center=False, samplewise_center=False, featurewise_std_normalization=False, samplewise_std_normalization=False, ...
import text_to_word_sequence from keras.preprocessing.text import Tokenizer from keras.preprocessing....