# shaoshengsong/DeepSORT

support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++

Repository: https://github.com/shaoshengsong/DeepSORT
Canonical: https://ross.abutalabs.com/products/deepsort
Language: C++
License Family: other
Topics: deepsort, track
Last push: 2023-07-14T16:48:01+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": 2673, "days_push": 1146, "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 1003, forks 219 (observed 2026-09-03T02:15:17.817603+00:00)

## What it is
A C++ implementation of multi-object tracking (MOT) combining YOLOv5 object detection with DeepSORT and ByteTrack trackers. It uses ONNX Runtime for CPU inference of detection and feature-extraction models, avoiding CUDA/TensorFlow dependencies.

## Use cases
- track multiple objects in a video with C++
- run yolov5 detection with deepsort tracking
- implement bytetrack multi-object tracking
- deploy object tracking without GPU or cuda
- use custom re-identification feature embeddings for tracking
- process video streams with object detection and tracking

## When to choose
- you need C++ multi-object tracking with YOLOv5 detection
- you want CPU-only inference via ONNX Runtime without CUDA dependencies
- you want to choose between DeepSORT and ByteTrack trackers
- you need customizable feature dimensions for re-identification

## When to avoid
- you need a Python tracking pipeline
- you require a maintained project with an explicit license
- you need GPU-accelerated tracking out of the box
- you want detectors other than YOLOv5 without writing your own module

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, machine-learning, image-processing
- domain: computer-vision, deep-learning
- platform: cpp, cross-platform
- tags: multi-object-tracking, deepsort, bytetrack, yolov5, onnxruntime, object-detection, kalman-filter, video, linux

## Member repositories
- shaoshengsong/DeepSORT (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:17.817603+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 2026-08-30T07:13:54.836489+00:00, confidence not recorded.
  - readme: https://github.com/shaoshengsong/DeepSORT (fetched 2026-09-03T02:15:17.817603+00:00, sha a9e98ea7b4b0)
- Data as of 2026-08-30T08:39:29.467469+00:00.