monodepth2 and MonoDepth-PyTorch
About monodepth2
nianticlabs/monodepth2
[ICCV 2019] Monocular depth estimation from a single image
Self-supervised learning framework that trains on monocular or stereo video sequences without ground-truth depth labels, using photometric loss and view synthesis. Implements ResNet encoder-decoder architecture with multi-scale depth predictions and supports multiple training modalities (mono, stereo, mono+stereo) on KITTI dataset. Built in PyTorch with pretrained models available at various resolutions (640×192 to 1024×320) and extensible dataloader API for custom datasets.
About MonoDepth-PyTorch
OniroAI/MonoDepth-PyTorch
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
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