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C++ implementation of YOLOv11 using TensorRT API
| Date | Stars |
|---|---|
| 2026-07-24 | 307 |
| 2026-07-25 | 307 |
| 2026-07-28 | 307 |
| 2026-07-30 | 306 |
| 2026-08-06 | 306 |
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<div align="center"> YOLOv11-TensorRT =========================== [](https://www.python.org/downloads/release/python-31012/) [](https://developer.nvidia.com/cuda-downloads) [](https://developer.nvidia.com/tensorrt) [](https://github.com/spacewalk01/TensorRT-YOLOv9/tree/main?tab=MIT-1-ov-file#readme) <div align="left"> <p align="center"> <img src="asset/output.gif" /> </p> This repository hosts a C++ implementation of the state-of-the-art YOLOv11 object detection model from ultralytics, leveraging the TensorRT API for efficient, real-time inference. ## Installation ### 1. Clone the Repository ```bash git clone https://github.com/spacewalk01/yolov11-tensorrt.git cd yolov11-tensorrt ``` ### 2. Install Dependencies - **For Python**: Install required Python dependencies using pip: ```bash pip install --upgrade ultralytics ``` - **For C++**: Ensure that OpenCV and TensorRT are installed. Set the correct paths for these libraries in the `CMakeLists.txt` file. ### 3. Build the C++ Code ```bash mkdir build && cd build cmake .. cmake --build . --config Release ``` ## Usage ### Exporting the Model 1. Modify the `export.py` script if needed to set the desired model name. 2. Run the Python script to export the YOLOv11 model to ONNX format: ```bash python export.py ``` ### Running Inference #### 1. Create a TensorRT Engine Convert the ONNX model to a TensorRT engine: ```bash ./yolov11-tensorrt.exe yolo11s.onnx "" ``` #### 2. Run Inference on an Image Perform object detection on an image: ```bash ./yolov11-tensorrt.exe yolo11s.engine "zidane.jpg" ``` #### 3. Run Inference on a Video Perform object detection on a video: ```bash ./yolov11-tensorrt.exe yolo11s.engine "road.mp4" ``` ## License This project is licensed under the AGPL-3.0 License. See the [LICENSE](LICENSE) file for details.
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a3a1e17767a7215f, topic:object-detection, topic:yolo, readme:object detection
matched fp:a3a1e17767a7215f, topic:tensorrt