https://github.com/xiaohaoo/yolo_tensorrt

Deploy the YOLOv8 model for inference using OpenCV and TensorRT in C/C++.
https://github.com/xiaohaoo/yolo_tensorrt

c cuda opencv tensorrt yolov8

Last synced: about 2 months ago
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Deploy the YOLOv8 model for inference using OpenCV and TensorRT in C/C++.

• Host: GitHub
• URL: https://github.com/xiaohaoo/yolo_tensorrt
• Owner: xiaohaoo
• Created: 2023-07-10T19:23:32.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-16T21:55:54.000Z (over 1 year ago)
• Last Synced: 2024-11-06T04:33:42.560Z (3 months ago)
• Topics: c, cuda, opencv, tensorrt, yolov8
• Language: C++
• Homepage:
• Size: 29.4 MB
• Stars: 4
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Yolov8 TensorRT

Deploy the [YOLOV8](https://github.com/ultralytics/ultralytics) model for object detection using OpenCV and [TensorRT](https://github.com/NVIDIA/TensorRT).

## Overview





## Dependencies

- CMAKE

- Microsoft Visual Studio

- CUDA: Only [download](https://github.com/xiaohaoo/Yolo_TensorRT/releases/download/v1.0.0/lib.zip) the required runtime library.

- OpenCV: Only [download](https://github.com/xiaohaoo/Yolo_TensorRT/releases/download/v1.0.0/lib.zip) the required runtime library.

## Installation

```bash

git clone [email protected]:xiaohaoo/Yolo_TensorRT.git

cd Yolo_TensorRT

cmake -DCMAKE_BUILD_TYPE:STRING=Release -B build -G "Visual Studio 16 2019" -A x64

cmake --build build --config Release --target install -j 22

# run app

cd build\output

.\yolo.exe

```