# Linaom1214/TensorRT-For-YOLO-Series

tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

Repository: https://github.com/Linaom1214/TensorRT-For-YOLO-Series
Canonical: https://ross.abutalabs.com/products/tensorrt-for-yolo-series
Language: Python
License Family: other
Topics: tensorrt, yolov7, yolov6, yolox, yolov3, yolov5, yolov8, yolov10, yolov9, yolo11, yolo, yolo12
Last push: 2025-10-15T07:52:02+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 47, release rhythm 8, longevity 100
- inputs: {"age_days": 1743, "days_push": 322, "days_rel": 647, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1162, forks 190 (observed 2026-08-28T04:03:49.533320+00:00)

## What it is
A Python and C++ toolkit for running YOLO-series object detection models (YOLOv3 through YOLOv12, YOLOX) with NVIDIA TensorRT, including ONNX export and engine generation with optional end-to-end NMS plugin support. It supports FP32/FP16/INT8 post-training quantization for accelerated GPU inference.

## Use cases
- deploy yolo models with tensorrt for fast inference
- convert yolov8 onnx to tensorrt engine
- run yolo object detection on nvidia gpu with c++
- quantize yolo model to int8 with tensorrt
- export ultralytics yolo to tensorrt with nms plugin
- speed up yolo inference using tensorrt

## When to choose
- you need maximum inference speed for YOLO models on NVIDIA GPUs via TensorRT
- you want end-to-end engines with NMS baked in via the plugin
- you need INT8 post-training quantization for YOLO deployment

## When to avoid
- you are not using NVIDIA GPUs or TensorRT
- you need a detector other than the YOLO family
- you want a maintained, licensed production library rather than a demo-style codebase

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, computer-vision, image-processing, gpu-computing, llm-inference
- domain: computer-vision, deep-learning, gpu-computing
- platform: python, cpp, windows
- tags: tensorrt, yolo, object-detection, onnx, nms-plugin, int8-quantization, model-deployment, gpu, linux

## Member repositories
- Linaom1214/TensorRT-For-YOLO-Series (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:49.533320+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 2026-08-30T06:31:36.735006+00:00, confidence not recorded.
  - readme: https://github.com/Linaom1214/TensorRT-For-YOLO-Series (fetched 2026-08-28T04:03:49.533320+00:00, sha eddd545db415)
- Data as of 2026-08-30T08:39:29.467469+00:00.