Loads an image into PIL format.

Usage

image_load(
  path,
  color_mode = "rgb",
  target_size = NULL,
  interpolation = "nearest",
  keep_aspect_ratio = FALSE
)

path: Path to image file.
color_mode: One of "grayscale", "rgb", "rgba". Default: "rgb". The desired image format.
target_size: Either NULL (default to original size) or tuple of ints (img_height, img_width).
interpolation: Interpolation method used to resample the image if the target size is different from that of the loaded image. Supported methods are "nearest", "bilinear", and "bicubic". If PIL version 1.1.3 or newer is installed, "lanczos" is also supported. If PIL version 3.4.0 or newer is installed, "box" and "hamming" are also supported. By default, "nearest" is used.
keep_aspect_ratio: Boolean, whether to resize images to a target size without aspect ratio distortion. The image is cropped in the center with target aspect ratio before resizing.

A PIL Image instance.

image_path <- get_file(origin = "https://www.r-project.org/logo/Rlogo.png")
(image <- image_load(image_path))

## <PIL.Image.Image image mode=RGB size=724x561>

input_arr <- image_to_array(image)
str(input_arr)

##  num [1:561, 1:724, 1:3] 0 0 0 0 0 0 0 0 0 0 ...

input_arr %<>% array_reshape(dim = c(1, dim(input_arr))) # Convert single image to a batch.

model |> predict(input_arr)