chainer.links.model.vision.vgg.prepare¶
-
chainer.links.model.vision.vgg.prepare(image, size=(224, 224))[source]¶ Converts the given image to the numpy array for VGG models.
Note that you have to call this method before
forwardbecause the pre-trained vgg 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