cv2r is an R wrapper to Pyhon OpenCV using reticulate. There is a few additions to simplify the integration in RStudio.
The very first time you may need to install OpenCV lib in your python environment.
library(reticulate) library(cv2r) install_opencv()
Than it is pretty simle to read and show an image.
img_url <- "https://upload.wikimedia.org/wikipedia/fr/4/4e/RStudio_Logo.png" my_image <- imread(img_url) # Very simple to plot images imshow(mat=my_image)
There is also a few modifications to simplify image pixel selection. You can use R matrix index on an numpy.ndarray variable.
# Lets show the alpha mask imshow(mat=my_image[,,4])
# To use advances matrix subseting you shall convert the matrix to R my_r_image <- reticulate::py_to_r(my_image) imshow(mat=my_r_image[50:300,200:900,c(4,2,2)])
If you are using RStudio 1.2 you can call plot from a python chunk
print(r.my_image.shape)
You can naturraly do your cv2 code in python
import cv2 #help(cv2.blur) #print(r.my_image.shape) blured_img = cv2.blur(r.my_image, (100,100) ) # We call the cv2r::imshow version to get the result in the markdown document r.imshow(mat=blured_img)
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