library(keras)
model <- application_vgg16(weights = 'imagenet', include_top = FALSE)
img_path <- "elephant.jpg"
img <- image_load(img_path, target_size = c(224,224))
x <- image_to_array(img)
x <- array_reshape(x, c(1, dim(x)))
x <- imagenet_preprocess_input(x)
features <- model %>% predict(x) application_vgg
VGG16 and VGG19 models for Keras.
Description
VGG16 and VGG19 models for Keras.
Usage
application_vgg16(
include_top = TRUE,
weights = "imagenet",
input_tensor = NULL,
input_shape = NULL,
pooling = NULL,
classes = 1000,
classifier_activation = "softmax"
)
application_vgg19(
include_top = TRUE,
weights = "imagenet",
input_tensor = NULL,
input_shape = NULL,
pooling = NULL,
classes = 1000,
classifier_activation = "softmax"
) Arguments
| Arguments | Description |
|---|---|
| include_top | whether to include the 3 fully-connected layers at the top of the network. |
| weights | One of NULL (random initialization), 'imagenet' (pre-training on ImageNet), or the path to the weights file to be loaded. Defaults to 'imagenet'. |
| input_tensor | Optional Keras tensor (i.e. output of layer_input()) to use as image input for the model. |
| input_shape | optional shape list, only to be specified if include_top is FALSE (otherwise the input shape has to be (224, 224, 3) It should have exactly 3 inputs channels, and width and height should be no smaller than 32. E.g. (200, 200, 3) would be one valid value. |
| pooling | Optional pooling mode for feature extraction when include_top is FALSE. Defaults to NULL. - NULL means that the output of the model will be the 4D tensor output of the last convolutional layer. - 'avg' means that global average pooling will be applied to the output of the last convolutional layer, and thus the output of the model will be a 2D tensor. - 'max' means that global max pooling will be applied. |
| classes | Optional number of classes to classify images into, only to be specified if include_top is TRUE, and if no weights argument is specified. Defaults to 1000 (number of ImageNet classes). |
| classifier_activation | A string or callable. The activation function to use on the “top” layer. Ignored unless include_top = TRUE. Set classifier_activation = NULL to return the logits of the “top” layer. Defaults to 'softmax'. When loading pretrained weights, classifier_activation can only be NULL or "softmax". |
Details
Optionally loads weights pre-trained on ImageNet. The imagenet_preprocess_input() function should be used for image preprocessing.
Section
Reference
Value
Keras model instance.