HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Add new YOLOv8 OBB model metrics (#7379)

Browse source 
Co-authored-by: Laughing-q <1182102784@qq.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Laughing 2024-01-08 00:29:52 +08:00 • committed by GitHub
parent bb1326a8ea
commit 71fe5e919d
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
5 changed files with 33 additions and 38 deletions
Download patch file Download diff file Expand all files Collapse all files

5
examples/YOLOv8-ONNXRuntime-CPP/README.md
View file

@ -1,7 +1,6 @@
# YOLOv8 OnnxRuntime C++
<img alt="C++" src="https://img.shields.io/badge/C++-17-blue.svg?style=flat&logo=c%2B%2B">
<img alt="Onnx-runtime" src="https://img.shields.io/badge/OnnxRuntime-717272.svg?logo=Onnx&logoColor=white">
<img alt="C++" src="https://img.shields.io/badge/C++-17-blue.svg?style=flat&logo=c%2B%2B"> <img alt="Onnx-runtime" src="https://img.shields.io/badge/OnnxRuntime-717272.svg?logo=Onnx&logoColor=white">
This example demonstrates how to perform inference using YOLOv8 in C++ with ONNX Runtime and OpenCV's API.
@ -11,7 +10,7 @@ This example demonstrates how to perform inference using YOLOv8 in C++ with ONNX
- Faster than OpenCV's DNN inference on both CPU and GPU.
- Supports FP32 and FP16 CUDA acceleration.
## Note :coffee:
## Note ☕
1. Benefit for Ultralytics' latest release, a `Transpose` op is added to the YOLOv8 model, while make v8 and v5 has the same output shape. Therefore, you can run inference with YOLOv5/v7/v8 via this project.