# DEVILENMO/DeadEye-Auto-Aiming-System

<https://repo.masters-masters.com/en/repos/DEVILENMO/DeadEye-Auto-Aiming-System>

[Home](https://repo.masters-masters.com/en) › [DEVILENMO](https://repo.masters-masters.com/en/owners/DEVILENMO) › [DeadEye-Auto-Aiming-System](https://repo.masters-masters.com/en/repos/DEVILENMO/DeadEye-Auto-Aiming-System)

DEVILENMO/DeadEye-Auto-Aiming-System has 114 stars on GitHub. Its RepoMasters card: Prototype tier. 通用视觉目标定位与追踪系统框架：模块化流水线，YOLOv5–v26 多后端 CUDA 部署（ONNX Runtime…

| Field | Value |
| --- | --- |
| Owner | [DEVILENMO](https://repo.masters-masters.com/en/owners/DEVILENMO) |
| Stars | 114 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | AGPL-3.0 |
| Created | 2024 |
| Topics | python, yolo, target-tracking, framework, computer-vision, cuda, kalman-filter, object-detection, onnxruntime, real-time |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DEVILENMO/DeadEye-Auto-Aiming-System](https://github.com/DEVILENMO/DeadEye-Auto-Aiming-System) |

## Repository

通用视觉目标定位与追踪系统框架：模块化流水线，YOLOv5–v26 多后端 CUDA 部署（ONNX Runtime / TensorRT + CUDA Graph，RTX 5090 端到端 789–1200 FPS），卡尔曼+匈牙利追踪 \| A universal visual target localization & tracking framework: modular pipeline, pluggable YOLO v5–v26 CUDA backends, Kalman + Hungarian tracking.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.