torch

Introduction In the previous post, we ran a pre-trained YOLO26 model on street-level photographs from Rio de Janeiro, entirely in R. The model accepts exactly one input size, 640 × 640 pixels, so every photograph was shrunk to fit.

Introduction In an earlier post, we used a pre-trained YOLO model from R by reaching into Python with reticulate: import torch and ultralytics, hand a conda environment to use_condaenv(), and call the model as if it were an R object.