dpt-large

Dense Prediction Transformer (DPT) model trained on 1.4 million images for monocular depth estimation. It was introduced in the paper Vision Transformers for Dense Prediction by Ranftl et al. (2021) and first released in this repository. DPT uses the Vision Transformer (ViT) as backbone and adds a neck + head on top for monocular depth estimation. The model card has been written in combination by the Hugging Face team and Intel. In case you want to implement the entire logic yourself, here's how to do that for zero-shot depth estimation on an image:

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