If None or 0, no rescaling is applied, otherwise we multiply the data by the value provided (after applying all other transformations). width_shift_range: Shifts the image along the width dimension.height_shift_range: Shifts the image along the height dimension.There are few arguments specified in the dictionary for the ImageDataGenerator constructor. For tensorflow backend the shape of this array would be (batch_size, image_y, image_x, channels). We have set it to 32 which means that one batch of image will have 32 images stacked together in an numpy array. So we start with the first line of the code which specifies the batch size. Datagen = ImageDataGenerator(**datagen_args)ĭatagenerator = datagen.flow_from_directory('./Dataset/dtd/images',target_size=(128,128),īatch_size=batch_size,interpolation="lanczos",shuffle=True)
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