# HonglinChu/SiamTrackers

(2020-2022)The PyTorch version  of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++,  SiamCAR,  SiamBAN, Ocean, LightTrack , TrTr, NanoTrack;  Visual object tracking based on deep learning

Repository: https://github.com/HonglinChu/SiamTrackers
Canonical: https://ross.abutalabs.com/products/siamtrackers
Language: Python
License: Apache-2.0
License Family: permissive
Topics: tracking, deep-learning, visual-tracking
Last push: 2023-10-26T07:07:25+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": 2339, "days_push": 1042, "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 1653, forks 312 (observed 2026-08-28T04:05:17.161918+00:00)

## What it is
A PyTorch collection of Siamese-based visual object tracking models including SiamFC, SiamRPN++, SiamMask, Ocean, LightTrack, and the lightweight NanoTrack. It provides training and evaluation code plus ncnn-based demos for deployment on embedded and mobile devices.

## Use cases
- track objects in video with deep learning
- train a siamese tracker like SiamRPN++ in PyTorch
- deploy a lightweight tracker on mobile or embedded devices
- benchmark trackers on VOT and GOT-10k datasets
- run NanoTrack at high FPS on CPU
- integrate a tracker with OpenCV TrackerNano API

## When to choose
- you need PyTorch implementations of classic Siamese trackers
- you need an ultra-lightweight tracker for mobile/embedded deployment
- you want to train a tracker cheaply on a single GPU

## When to avoid
- you need state-of-the-art transformer trackers beyond TrTr
- you need a maintained production library with active releases
- you work outside Python/PyTorch ecosystems

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning
- platform: python, cross-platform
- tags: visual-tracking, siamese-networks, object-tracking, pytorch, nanotrack, embedded-deployment, ncnn, android, macos

## Member repositories
- HonglinChu/SiamTrackers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:17.161918+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 2026-08-30T03:44:57.545847+00:00, confidence not recorded.
  - readme: https://github.com/HonglinChu/SiamTrackers (fetched 2026-08-28T04:05:17.161918+00:00, sha b324ea087af4)
- Data as of 2026-08-30T08:39:29.467469+00:00.