# visionml/pytracking

Visual tracking library based on PyTorch.

Repository: https://github.com/visionml/pytracking
Canonical: https://ross.abutalabs.com/products/pytracking
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: computer-vision, tracking, machine-learning, visual-tracking
Last push: 2024-08-08T20:25:00+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2709, "days_push": 755, "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 3514, forks 614 (observed 2026-08-28T04:08:07.803267+00:00)

## What it is
PyTracking is a PyTorch-based framework for visual object tracking and video object segmentation, providing official implementations of trackers like ATOM, DiMP, PrDiMP, KYS, KeepTrack, ToMP, RTS, and TaMOs. It includes evaluation libraries, a training framework (LTR), and a model zoo with pretrained models.

## Use cases
- track objects in videos with deep learning
- train a custom visual tracker
- evaluate trackers on standard tracking benchmarks
- run multi-object tracking with TaMOs
- perform video object segmentation
- reproduce results from tracking research papers

## When to choose
- you need state-of-the-art single or multi-object tracking implementations in PyTorch
- you want to train tracking networks with a dedicated framework
- you need benchmark evaluation on standard tracking datasets

## When to avoid
- you need lightweight real-time tracking on edge devices without GPU
- you want a plug-and-play tracker for production apps rather than a research framework
- your project requires a permissive license (GPL-3.0)

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, computer-vision, image-processing, benchmarking, testing
- domain: computer-vision, machine-learning, deep-learning
- platform: python
- tags: visual-tracking, object-tracking, video-object-segmentation, pytorch, research, model-zoo, multi-object-tracking, video, linux, gpu

## Member repositories
- visionml/pytracking (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:07.803267+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 2026-08-29T18:35:36.745948+00:00, confidence not recorded.
  - readme: https://github.com/visionml/pytracking (fetched 2026-08-28T04:08:07.803267+00:00, sha 25ab52b2a70e)
- Data as of 2026-08-30T08:39:29.467469+00:00.