Yolov8 Models 測試
官方文件鏈結 https://docs.ultralytics.com/models/程式碼
from ultralytics import YOLO
import os
os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"
if __name__ == '__main__':
# Load a COCO-pretrained YOLOv8n model
model = YOLO('yolov8n.pt')
# Display model information (optional)
model.info()
# Train the model on the COCO8 example dataset for 100 epochs
results = model.train(data='coco8.yaml', epochs=100, imgsz=640)
# Run inference with the YOLOv8n model on the 'bus.jpg' image
results = model('bus.jpg')
原始圖片
結果圖：
文章出處：NetYea 網頁設計
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