Connect to our Discord channel
# YOLOv8 LibTorch Inference C++
This example demonstrates how to perform inference using YOLOv8 models in C++ with LibTorch API.
| Dependency | Version |
|---|---|
| OpenCV | >=4.0.0 |
| C++ Standard | >=17 |
| Cmake | >=3.18 |
| Libtorch | >=1.12.1 |
Models
Annotations
git clone ultralytics
cd ultralytics
pip install .
cd examples/YOLOv8-LibTorch-CPP-Inference
mkdir build
cd build
cmake ..
make
./yolov8_libtorch_inference
To export YOLOv8 models:
yolo export model=yolov8s.pt imgsz=640 format=torchscript
Press p or to see the previous file or, n or to see the next file
Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with AWS S3!
Are you sure you want to delete this access key?
Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with Google Cloud Storage!
Are you sure you want to delete this access key?
Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with Azure Cloud Storage!
Are you sure you want to delete this access key?
Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with your S3 compatible storage!
Are you sure you want to delete this access key?