Yolov8 Models 測試

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官方文件鏈結 https://docs.ultralytics.com/models/

程式碼

1. from ultralytics import YOLO
   
2. import os
   
3. os.environ["KMP_DUPLICATE_LIB_OK"]  =  "TRUE"
   
4. 
   
5. if __name__ == '__main__':
   
6.     # Load a COCO-pretrained YOLOv8n model
   
7.     model = YOLO('yolov8n.pt')
   
8. 
   
9.     # Display model information (optional)
   
10.     model.info()
    
11. 
    
12.     # Train the model on the COCO8 example dataset for 100 epochs
    
13.     results = model.train(data='coco8.yaml', epochs=100, imgsz=640)
    
14. 
    
15.     # Run inference with the YOLOv8n model on the 'bus.jpg' image
    
16.     results = model('bus.jpg')

複製代碼

原始圖片

Yolov8 Models 測試

結果圖：

Yolov8 Models 測試

Yolov8 Models 測試

文章出處：NetYea 網頁設計