GLPN fine tuned on KITTI Global Local Path Networks (GLPN) model trained on KITTI for monocular depth estimation. It was introduced in the paper Global Local Path Networks for Monocular Depth Estimation with Vertical CutDepth by Kim et al. and first released in this repository. Disclaimer: The team releasing GLPN did not write a model card for this model so this model card has been written by the Hugging Face team. Model description GLPN uses SegFormer as backbone and adds a lightweight head on top for depth estimation. Intended uses & limitations You can use the raw model for monocular depth estimation. See the model hub to look for fine tuned versions on a task that interests you. How to use Here is how to use this model: For more code examples, we refer to the documentation. BibTeX entry and citation info
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