ibaiGorordo/ONNX-YOLOv8-Object-Detection
Python scripts for running YOLOv8 object detection models in ONNX format for inference on images.
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The repository contains Python scripts that perform object detection using YOLOv8 models converted to the ONNX format. It uses ONNXRuntime for model inference, with support for both GPU and CPU execution. Users can convert YOLOv8 models from Ultralytics to ONNX format using a provided Google Colab notebook. The scripts take input images, resize them to match the model’s input size, and output detected objects with bounding boxes.
Frequently asked
- What is ibaiGorordo/ONNX-YOLOv8-Object-Detection?
- Python scripts for running YOLOv8 object detection models in ONNX format for inference on images.
- Is ONNX-YOLOv8-Object-Detection open source?
- Yes — ibaiGorordo/ONNX-YOLOv8-Object-Detection is open source, released under the MIT license.
- What language is ONNX-YOLOv8-Object-Detection written in?
- ibaiGorordo/ONNX-YOLOv8-Object-Detection is primarily written in Python.
- How popular is ONNX-YOLOv8-Object-Detection?
- ibaiGorordo/ONNX-YOLOv8-Object-Detection has 492 stars on GitHub.
- Where can I find ONNX-YOLOv8-Object-Detection?
- ibaiGorordo/ONNX-YOLOv8-Object-Detection is on GitHub at https://github.com/ibaiGorordo/ONNX-YOLOv8-Object-Detection.