Monodepth2 is a PyTorch implementation for training and testing self-supervised monocular depth estimation models from single images, as described in a 2019 ICCV paper. The method uses deep neural networks trained without explicit depth labels, learning depth prediction through geometric constraints between consecutive frames. This is a research-grade implementation supporting both training and evaluation of depth estimation models.