如何在R脚本中使用Pillow（python库）？
在这个R剧本中，使用枕头是必要的......但是它给我一个错误！
（“Pillow Python包需要加载图像”）
需要帮助......
library(keras)
library(abind)
# get some image
img_path <- system.file('extdata', 'produce.png', package = 'lime')
# load a predefined image classifier
model <- application_vgg16(weights = "imagenet", include_top = TRUE)
从https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg16_weights_tf_dim_ordering_tf_kernels.h5下载数据 553467904/553467096 [==============================] - 273s 0us / step
# create a function that prepare images for the model
img_preprocess <- function(x) {
arrays <- lapply(x, function(path) {
img <- image_load(path, target_size = c(224,224)) # <-- this is what generates the error !
x <- image_to_array(img)
x <- array_reshape(x, c(1, dim(x)))
x <- imagenet_preprocess_input(x)
})
do.call(abind, c(arrays, list(along = 1)))
}
# Create an explainer (lime recognise the path as an image)
explainer <- lime(img_path, as_classifier(model, unlist(labels)), img_preprocess)
# Explain the model (can take a long time depending on your system)
explanation <- lime::explain(img_path, explainer, n_labels = 2, n_features = 10, n_superpixels = 70)
image_load(path, target_size = c(224, 224))中的错误：枕头 加载图像需要Python包
但是我可以在这个R脚本中使用Python Pillow库吗？
感谢您的关注。