monodepth2 and mono_depth_estimator
The tools are competitors, with A being a significantly more robust and widely-adopted research-backed model for monocular depth estimation, while B appears to be a smaller, specialized implementation or application of similar techniques for self-driving cars.
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 mono_depth_estimator
gsurma/mono_depth_estimator
Mono depth estimation for self-driving cars 🚗
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