# mrharicot/monodepth

Unsupervised single image depth prediction with CNNs

Repository: https://github.com/mrharicot/monodepth
Canonical: https://ross.abutalabs.com/products/monodepth
Language: Python
License: NOASSERTION
License Family: other
Last push: 2021-06-16T06:49:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3431, "days_push": 1904, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2265, forks 625 (observed 2026-08-28T04:06:32.587928+00:00)

## What it is
A TensorFlow implementation of unsupervised monocular depth estimation from single images using convolutional neural networks, based on the CVPR 2017 paper 'Unsupervised Monocular Depth Estimation with Left-Right Consistency'. It includes pretrained models for KITTI and Cityscapes and scripts for training on rectified stereo pairs.

## Use cases
- predict depth maps from single images
- train a self-supervised depth estimation model on stereo pairs
- run pretrained monodepth models on KITTI or Cityscapes images
- research monocular depth estimation with left-right consistency
- estimate scene depth for autonomous driving datasets

## When to choose
- you need a research-grade unsupervised depth estimation baseline
- you have rectified stereo training data like KITTI or Cityscapes
- you want to reproduce or build on the CVPR 2017 monodepth paper

## When to avoid
- you need state-of-the-art accuracy - use monodepth2 instead
- you need modern TensorFlow 2.x or PyTorch support
- you lack stereo training data or a GPU for training

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning, autonomous-vehicles
- platform: python
- tags: depth-estimation, monocular-depth, self-supervised-learning, tensorflow, stereo-vision, cvpr-2017, research-code, linux, gpu

## Member repositories
- mrharicot/monodepth (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:32.587928+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 2026-08-30T02:42:25.106934+00:00, confidence not recorded.
  - readme: https://github.com/mrharicot/monodepth (fetched 2026-08-28T04:06:32.587928+00:00, sha 6df8499cc6d1)
- Data as of 2026-08-30T08:39:29.467469+00:00.