# hkchengrex/Cutie

[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation

Repository: https://github.com/hkchengrex/Cutie
Canonical: https://ross.abutalabs.com/products/cutie
Homepage: https://hkchengrex.com/Cutie/
Language: Python
License: MIT
License Family: permissive
Topics: computer-vision, deep-learning, pytorch, segmentation, video-editing, video-object-segmentation, video-segmentation, cvpr2024
Last push: 2024-11-08T21:38:38+00:00

## Health v2 (maintenance only)
Score: 18/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 74
- inputs: {"age_days": 1049, "days_push": 663, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1095, forks 113 (observed 2026-08-28T04:03:34.089130+00:00)

## What it is
Cutie is a video object segmentation framework with object-level memory reading, a follow-up to XMem offering better consistency, robustness, and speed. It includes Python code for scripted VOS inference plus a GUI tool for interactive video segmentation with permanent memory support.

## Use cases
- segment objects in videos with a mask prompt
- track and segment objects across video frames
- interactively edit video object masks via a GUI
- run semi-supervised video object segmentation in a Python project
- improve segmentation robustness against distractors in videos

## When to choose
- you need state-of-the-art semi-supervised video object segmentation
- you want a fast, robust alternative to XMem or DeAOT
- you need an interactive video segmentation tool with object add/remove controls

## When to avoid
- you need image-only segmentation rather than video
- you need Windows support (only tested on Ubuntu)
- you lack a CUDA-capable GPU for inference

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, deep-learning, machine-learning
- platform: python
- tags: video-object-segmentation, pytorch, cvpr2024, interactive-segmentation, memory-network, gui-tool, video, linux, gpu

## Member repositories
- hkchengrex/Cutie (main) score 18

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:34.089130+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 2026-08-30T06:47:15.551045+00:00, confidence not recorded.
  - readme: https://github.com/hkchengrex/Cutie (fetched 2026-08-28T04:03:34.089130+00:00, sha 02f4a36cdefa)
  - homepage: https://hkchengrex.com/Cutie/ (fetched 2026-08-29T12:50:24.736960+00:00, sha 8c5083b92717)
- Data as of 2026-08-30T08:39:29.467469+00:00.