Preprocesses a tensor or array encoding a batch of images.

    Preprocesses a tensor or array encoding a batch of images.

    imagenet_preprocess_input(x, data_format = NULL, mode = "caffe")

    Arguments

    x

    Input Numpy or symbolic tensor, 3D or 4D.

    data_format

    Data format of the image tensor/array.

    mode

    One of "caffe", "tf", or "torch"

    • caffe: will convert the images from RGB to BGR, then will zero-center each color channel with respect to the ImageNet dataset, without scaling.

    • tf: will scale pixels between -1 and 1, sample-wise.

    • torch: will scale pixels between 0 and 1 and then will normalize each channel with respect to the ImageNet dataset.

    Value

    Preprocessed tensor or array.