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Docs partial mdformat improvements (#7378)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2024-01-07 17:13:42 +01:00 • committed by GitHub
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34
examples/YOLOv8-ONNXRuntime-CPP/README.md
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@ -1,9 +1,7 @@
<h1 align="center">YOLOv8 OnnxRuntime C++</h1>
# YOLOv8 OnnxRuntime C++
<p align="center">
<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>
</p>
<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.
@ -15,7 +13,7 @@ This example demonstrates how to perform inference using YOLOv8 in C++ with ONNX
## Note :coffee:
1.~~This repository should also work for YOLOv5, which needs a permute operator for the output of the YOLOv5 model, but this has not been implemented yet.~~ Benefit for ultralytics's latest release,a `Transpose` op is added to the Yolov8 model,while make v8 and v5 has the same output shape.Therefore,you can inference your yolov5/v7/v8 via this project.
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.
## Exporting YOLOv8 Models 📦
@ -70,24 +68,26 @@ Note (2): Due to ONNX Runtime, we need to use CUDA 11 and cuDNN 8. Keep in mind
## Build 🛠️
1. Clone the repository to your local machine.
1. Navigate to the root directory of the repository.
1. Create a build directory and navigate to it:
```console
mkdir build && cd build
```
2. Navigate to the root directory of the repository.
3. Create a build directory and navigate to it:
```console
mkdir build && cd build
```
4. Run CMake to generate the build files:
```console
cmake ..
```
```console
cmake ..
```
5. Build the project:
```console
make
```
```console
make
```
6. The built executable should now be located in the `build` directory.