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Lane Detection Optimized With GPU Coder for Jetson TX2

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Vasyl Varvolik
Vasyl Varvolik 2017-11-30
编辑： Vasyl Varvolik 2017-12-2
Hallo! In the project, we use camera of the type DFK23UP1300 and the Jetson TX2 for image processing. I want to make a self drive mini car. I think that I can use this simple:
https://de.mathworks.com/help/gpucoder/examples/lane-detection-optimized-with-gpu-coder.html?searchHighlight=GPU%20coder&s_tid=doc_srchtitle
I checked it works on Jetson TX2, but I don't know how to pretraine AlexNET to my road.
I have to use these recommendations: https://www.mathworks.com/help/nnet/ref/alexnet.html
Can I use Ground-Truth Labeling for pretraine AlexNET?
Maybe you can give advice?
Thanks a lot.

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回答（1 个）

Girish Venkataramani
Hi Vasyl
We published an blog article that describes the training:
https://devblogs.nvidia.com/parallelforall/deep-learning-automated-driving-matlab/
Let me know if this helps. Girish
  1 个评论
Vasyl Varvolik
Vasyl Varvolik 2017-12-1
编辑：Vasyl Varvolik 2017-12-2
I use Ground Truth Labeler on the MATLAB and I don't understand how to get redressionOutputs with a,b,c coefficients
I don't understand why the right and left lines are superimposed

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