from ultralytics import YOLO
import os


def main():
    # 加载训练后的模型
    model = YOLO("runs/detect/final_model3/weights/best.pt")

    # 在验证集上评估模型性能（添加 workers=0 参数）
    results2 = model.val(data="data.yaml", workers=0)

    # 推理指定图像或目录（添加 workers=0 参数）
    results = model.predict(
        source="datasets/train/images/1_jpeg.rf.7bb68b0df8cd88542b4d9cd83a9a0457.jpg",
        imgsz=640,
        conf=0.25,
        save=True,
        #device=0,
        workers=0  # 关键参数
    )

    # 遍历并打印预测结果
    for result in results:
        print(result.names)
        print(result.boxes)


if __name__ == '__main__':
    main()  # Windows必须的入口保护