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44 lines
1.3 KiB
44 lines
1.3 KiB
2 years ago
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# YOLOv8 - ONNX Runtime
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This project implements YOLOv8 using ONNX Runtime.
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## Installation
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To run this project, you need to install the required dependencies. The following instructions will guide you through the installation process.
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### Installing Required Dependencies
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You can install the required dependencies by running the following command:
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```bash
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pip install -r requirements.txt
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```
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### Installing `onnxruntime-gpu`
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If you have an NVIDIA GPU and want to leverage GPU acceleration, you can install the onnxruntime-gpu package using the following command:
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```bash
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pip install onnxruntime-gpu
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```
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Note: Make sure you have the appropriate GPU drivers installed on your system.
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### Installing `onnxruntime` (CPU version)
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If you don't have an NVIDIA GPU or prefer to use the CPU version of onnxruntime, you can install the onnxruntime package using the following command:
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```bash
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pip install onnxruntime
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```
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### Usage
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After successfully installing the required packages, you can run the YOLOv8 implementation using the following command:
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```bash
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python main.py --model yolov8n.onnx --img image.jpg --conf-thres 0.5 --iou-thres 0.5
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```
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Make sure to replace yolov8n.onnx with the path to your YOLOv8 ONNX model file, image.jpg with the path to your input image, and adjust the confidence threshold (conf-thres) and IoU threshold (iou-thres) values as needed.
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