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开发者您好!感谢你们的工作,在测试image_demo.py中我发现了加入”“和不加差距很大。我也查阅了其他人提出的issue361,28。我在测试中包含了person/fire/smoke三种类别,如果加入[""],对于fire/smoke检测效果有提升,但是对于person漏检增大且置信度降低;如果不加的话对于fire/smoke检测不出来。 所以我想请问一下,1)有没有什么好的trick优化测试中的这个问题;2)如果重新训练或者微调,目前有什么方法能够解决吗?
感谢!
The text was updated successfully, but these errors were encountered:
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开发者您好!感谢你们的工作,在测试image_demo.py中我发现了加入”“和不加差距很大。我也查阅了其他人提出的issue361,28。我在测试中包含了person/fire/smoke三种类别,如果加入[""],对于fire/smoke检测效果有提升,但是对于person漏检增大且置信度降低;如果不加的话对于fire/smoke检测不出来。
所以我想请问一下,1)有没有什么好的trick优化测试中的这个问题;2)如果重新训练或者微调,目前有什么方法能够解决吗?
感谢!
The text was updated successfully, but these errors were encountered: