30 lines
757 B
Python
30 lines
757 B
Python
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from ultralytics import YOLO
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import os
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def main():
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# 加载训练后的模型
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model = YOLO("runs/detect/train/weights/best.pt")
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# 在验证集上评估模型性能（添加 workers=0 参数）
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results2 = model.val(data="data.yaml", workers=0)
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# 推理指定图像或目录（添加 workers=0 参数）
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results = model.predict(
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source="datasets/valid/images/2007_000039_jpg.rf.5d3e366ae5711f7fc19196fdd6ecbd27.jpg",
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imgsz=640,
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conf=0.25,
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save=True,
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#device=0,
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workers=0 # 关键参数
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)
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# 遍历并打印预测结果
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for result in results:
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print(result.names)
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print(result.boxes)
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if __name__ == '__main__':
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main() # Windows必须的入口保护
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