Eromera/erfnet_pytorch

Inference comparison with the ENet

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In ERFNet paper inference speed of the model (ERFNet) with ENet has been presented, the values mentioned in your paper has been taken from the original ENet paper.

Has anyone faced the same issue, in my case ENet inference speed is much is slower than the ERFNet i.e for 360x640 image ENet is about 80fps, whereas in case of ERFNet it is about 100fps for same resolution image on RTX2060 GPU.

Has anyone replicated the result of ENet in terms of fps?