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Hi, I actually face the same issue too. I trained the model of SVTR and used tools/infer_rec.py and tools/infer/predict_rec.py to test the same dataset and the latter one has a...

> > > 请问,方便提供一下测试用例和其预测结果吗?这样方便分析。 > > 您好,就是我正常使用SVTR进行推理是没问题的,但是使用tensorrt加速后就有问题了,环境上面应该已经提到过了,下面是使用tensorrt的测试用例: ![image](https://user-images.githubusercontent.com/58161490/200989313-16afa097-3426-4c82-9b2e-c6b379c6ebca.png) 输出结果为:('210', 0.22712290287017822) 不使用tensorrt加速的结果为:('G39', 0.9999995231628418 ![image](https://user-images.githubusercontent.com/58161490/200989385-f6d05d61-aec4-442c-95be-264cc8b604f1.png) 输出结果为:('918', 0.15482832491397858) 不使用tensorrt加速的结果为:('G14', 0.9999997615814209) 感觉这样看起来肯定是哪里有问题。。 不过我也还没有转。。 之后如果转了没问题再和你说哈

Thanks for your quick reply!! Could you give me an example of what weights represent in eval_ensemble.py ?

> That is weights of different models. Usually even is very good. Thanks for your help, but after training 4 more models with the same parameters. The ensemble models performance...

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