imagenet_preprocess_input
Preprocesses a tensor or array encoding a batch of images.
Description
Preprocesses a tensor or array encoding a batch of images.
Usage
imagenet_preprocess_input(x, data_format = NULL, mode = "caffe") Arguments
| Arguments | Description |
|---|---|
| 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.