# theAIGuysCode/yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

Repository: https://github.com/theAIGuysCode/yolov4-deepsort
Canonical: https://ross.abutalabs.com/products/yolov4-deepsort
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: yolov4, yolov4-deepsort, deep-sort, object-tracker, tensorflow, object-tracking, object-detection
Last push: 2024-05-22T14:55:43+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": 2208, "days_push": 833, "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 1428, forks 749 (observed 2026-08-28T04:04:41.990767+00:00)

## What it is
A Python implementation of multi-object tracking that combines YOLOv4 object detection with the Deep SORT tracking algorithm using TensorFlow. It processes video files or webcam streams to detect and track objects like people and cars across frames.

## Use cases
- track people in a video with yolo
- count cars passing in traffic footage
- detect and track objects in webcam stream
- run object tracking on cctv video
- convert yolov4 weights to tensorflow model
- multi-object tracking with deepsort

## When to choose
- you need a ready-to-run YOLOv4 + Deep SORT pipeline in TensorFlow
- you want to track people or vehicles in video files or webcam feeds
- you want to use pre-trained YOLOv4 weights without training your own model

## When to avoid
- you need real-time tracking on edge devices with minimal compute
- you want the latest YOLO versions or PyTorch-based tracking
- you need a maintained production system rather than a reference implementation

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, machine-learning, deep-learning, image-processing
- domain: computer-vision, machine-learning, deep-learning
- platform: python, cross-platform
- tags: object-tracking, object-detection, yolov4, deepsort, tensorflow, video-analytics, gpu

## Member repositories
- theAIGuysCode/yolov4-deepsort (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.990767+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 2026-08-30T04:37:20.081271+00:00, confidence not recorded.
  - readme: https://github.com/theAIGuysCode/yolov4-deepsort (fetched 2026-08-28T04:04:41.990767+00:00, sha c4cb72867d86)
- Data as of 2026-08-30T08:39:29.467469+00:00.