# zju3dv/OnePose

Code for "OnePose: One-Shot Object Pose Estimation without CAD Models", CVPR 2022

Repository: https://github.com/zju3dv/OnePose
Canonical: https://ross.abutalabs.com/products/onepose
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-12-17T01:48:14+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1562, "days_push": 625, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1010, forks 85 (observed 2026-08-28T04:03:13.049582+00:00)

## What it is
OnePose is the official PyTorch implementation of the CVPR 2022 paper 'One-Shot Object Pose Estimation without CAD Models'. It estimates the 6D pose of novel objects from a single reference video, using SuperPoint/SuperGlue feature matching and COLMAP structure-from-motion instead of CAD models.

## Use cases
- estimate 6d pose of an object from a single reference video
- object pose estimation without cad models
- one-shot object pose estimation for ar applications
- run 2d-3d feature matching for pose estimation
- reproduce cvpr 2022 onepose benchmark results
- capture custom object data for pose estimation training

## When to choose
- you need one-shot 6D pose estimation of novel objects without CAD models
- you want to reproduce or build on the OnePose CVPR 2022 results
- you have a reference video of an object and want its pose in new scenes

## When to avoid
- you need real-time pose estimation on mobile or embedded devices
- you require CAD-model-based pose estimation pipelines
- you need a maintained production-ready library rather than research code

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, machine-learning, image-processing, deep-learning
- domain: computer-vision, machine-learning, robotics
- platform: python
- tags: pose-estimation, one-shot-learning, feature-matching, structure-from-motion, cvpr-2022, augmented-reality, 3d-vision, research, linux, macos, gpu

## Member repositories
- zju3dv/OnePose (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:13.049582+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 2026-08-30T07:11:59.762312+00:00, confidence not recorded.
  - readme: https://github.com/zju3dv/OnePose (fetched 2026-08-28T04:03:13.049582+00:00, sha cfa93b85d1a1)
- Data as of 2026-08-30T08:39:29.467469+00:00.