# isl-org/DPT

Dense Prediction Transformers

Repository: https://github.com/isl-org/DPT
Canonical: https://ross.abutalabs.com/products/dpt
Language: Python
License: MIT
License Family: permissive
Archived: true
Last push: 2024-12-18T16:24:13+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1990, "days_push": 623, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2334, forks 281 (observed 2026-08-28T04:06:37.996443+00:00)

## What it is
DPT (Dense Prediction Transformers) is Intel's implementation of Vision Transformers for dense prediction tasks, providing pretrained models for monocular depth estimation and semantic segmentation. It is Python/PyTorch-based inference code released alongside the paper 'Vision Transformers for Dense Prediction'.

## Use cases
- estimate depth from a single image
- run monocular depth estimation on photos
- perform semantic segmentation with a vision transformer
- get pretrained DPT models for depth and segmentation
- use vision transformers for dense prediction tasks
- depth estimation for autonomous driving datasets like KITTI

## When to choose
- you need pretrained transformer-based monocular depth estimation models
- you want semantic segmentation with ViT-based architectures
- you need a reference implementation of the DPT paper
- you want depth models finetuned on KITTI or NYUv2

## When to avoid
- you need actively maintained software with bug fixes and updates
- you require production support or new model releases
- you want a project that accepts patches or contributions
- you need compatibility with recent PyTorch versions without adaptation

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning, artificial-intelligence
- platform: python, cross-platform
- tags: vision-transformer, depth-estimation, semantic-segmentation, monodepth, pytorch, dense-prediction, discontinued

## Member repositories
- isl-org/DPT (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:37.996443+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:37:46.518476+00:00, confidence not recorded.
  - readme: https://github.com/isl-org/DPT (fetched 2026-08-28T04:06:37.996443+00:00, sha e8f6e183deab)
- Data as of 2026-08-30T08:39:29.467469+00:00.