jaeoh2 / road-lane-instance-segmentation-pytorch Goto Github PK
View Code? Open in Web Editor NEWtuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.
License: MIT License
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qinghuizhao zhyj3038 wangerniuniu lymhust ssyonny rotorliu timeamagyar alanjonson wjtxlliubin bbossam riwaly imaduddinamajid alpergenc peternara heodel dungvuhoang xyzariel jnhuanghao nadeen86road-lane-instance-segmentation-pytorch's Issues
train.py
What are the files in the train path directory? Why is the loss value Nan when I train
The two branches of ENet are same
Road-Lane-Instance-Segmentation-PyTorch/enet.py
Lines 378 to 416 in ddf2a19
Is this wrong？
# 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 = self.semBottleNeck3_6(x1)
x1 = self.semBottleNeck3_7(x1)
# Stage4
x1 = self.semBottleNeck4_0(x1, ind_2)
x1 = self.semBottleNeck4_1(x1)
x1 = self.semBottleNeck4_2(x1)
# Stage5
x1 = self.semBottleNeck5_0(x1, ind_1)
x1 = self.semBottleNeck5_1(x1)
# Instance Segmentation
# Stage3
x2 = self.insBottleNeck3_0(x)
x2 = self.insBottleNeck3_1(x2)
x2 = self.insBottleNeck3_2(x2)
x2 = self.insBottleNeck3_3(x2)
x2 = self.insBottleNeck3_4(x2)
x2 = self.insBottleNeck3_5(x2)
x2 = self.insBottleNeck3_6(x2)
x2 = self.insBottleNeck3_7(x2)
# Stage4
x2 = self.insBottleNeck4_0(x2, ind_2)
x2 = self.insBottleNeck4_1(x2)
x2 = self.insBottleNeck4_2(x2)
# Stage5
x2 = self.insBottleNeck5_0(x2, ind_1)
x2 = self.insBottleNeck5_1(x2)Trained model
Thank you for your contribution. Can you provide a trained segnet model？
Generating new training data
Have you tried generating your own dataset similar to Tusimple Dataset?
If yes, how?
What's the proper format for both binary and instance segmentation image labels?
too many values to unpack (expected 2)
please help me
out
detect.py
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?
Error(s) in loading state_dict for SegNet:
I am finding this error whenever I have run inference.ipynb
please help me regarding this metter
ENet
hello,thanks for your code. have you tried the enet by tensorflow?
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