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tuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.

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https://github.com/jaeoh2/Road-Lane-Instance-Segmentation-PyTorch/blob/ddf2a19da0759e3c3e09173a6833497b31f6c340/enet.py#L378-L416 Is this wrong? ```python # Binary Segmentation # Stage3 x1 = self.semBottleNeck3_0(x) x1 = self.semBottleNeck3_1(x1) x1 = self.semBottleNeck3_2(x1) x1 = self.semBottleNeck3_3(x1) x1 = self.semBottleNeck3_4(x1) x1 = self.semBottleNeck3_5(x1) x1 =...

Thanks for ur diles. if I just want to predict on tusimple dataset .I don’t want to use ros, Is there a corresponding file?

Thank you for your contribution. Can you provide a trained segnet model?