chainer.links.model.vision.googlenet.prepare

chainer.links.model.vision.googlenet.prepare(image, size=(224, 224))

Converts the given image to the numpy array for GoogLeNet.

Note that you have to call this method before forward because the pre-trained GoogLeNet model requires to resize the given image, covert the RGB to the BGR, subtract the mean, and permute the dimensions before calling.

Parameters:

• image (PIL.Image or numpy.ndarray) – Input image. If an input is numpy.ndarray, its shape must be (height, width), (height, width, channels), or (channels, height, width), and the order of the channels must be RGB.
• size (pair of ints) – Size of converted images. If None, the given image is not resized.

Returns:

The converted output array.

Return type:

numpy.ndarray