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With default hyper-parameters and TuSimple dataset:
1. test (validation) result only shows iterations according to [validation data size 358 / batch size 8 = 45] whatever the epoch value is set (at…
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Hey Fabvio,
Appreciate your great work here! I'm trying to reproduce the results and got some issue with the pretrained ERFNet. Correct me if I'm wrong. So we have to pretrain a pixel-wise segmenta…
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I have downloaded the model, and there is an error when executing the code. The print message is ：
File "/home/od/ld-lsi/scripts/erfnet_road.py", line 126, in forward
output_road = self.road_lin…
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I measured the velocity through the forward time code of the erfnet code, but it is not as fast as it was in the paper. Or is there something I'm missing?
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Hello,
Upon executing the `model.py`, I am getting the following traceback:
```
Traceback (most recent call last):
File "model.py", line 169, in
model = uncertainty_net(34, in_channels…
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Hi, author, I encountered a problem. How do I get the llamas image label for 5 classification. There hava a script seem to obtain binary segmentation image or multi_class_segmentation_label (l1, l0, …
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Hi, thanks for the paper and code. My doubt is wrt the feature extraction setting wherein a new decoder head is used to train the new task while freezing the shared encoder and old task decoder. In su…
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Hi， thanks for your work, There are two things I don't quite understand about the paper
1、“we train the CNN to recognize lane boundaries, rather than lane markings. ”，Does Lane boundaries mean al…
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Hi,
Do you have the implementation to test this model on a custom image which is not part of any dataset? As far as I understand, ```test_erfnet.py``` needs labels. Thanks!
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I tried the cityscapes_erfnet_1024_70 dataset and got an error on start.
I am running Cuda 10.2 with TensorRT 6 on Ubuntu 18.04.
Specs:
Intel® Xeon(R) CPU E5-1650 v4 @ 3.60GHz × 12
64GB DDR4-R…
BRNKR updated
4 years ago