Training a CNN and using OpenCV

Robotics & Edge Computing Jetson & Embedded Systems Jetson TX2
1

Hi:

I have to do a project to detect yellow lines on the road using a CNN.I dont know which direction take to do this. I have think i can do the following:

-First train a CNN using DIGITS or any other tool. (I dont know if i should create a new CNN or retrain other CNN like GoogleNet). I thinking on using the Caffe framework.

-Then download to the Jetson TX2 the .prototxt and .caffemodel files of the trained CNN.

-Make a C++ program or Python using OpenCV and use the files that I download before. Use the on-board camera for video input and give the frames to the input of the trained CNN.

It’s possible to do this? If you have a better way can you tell me what is it?

Thanks for help!

2

Hi,

You can check our tutorial to get some idea:
[url]https://github.com/dusty-nv/jetson-inference[/url]

As you said, you will need to train a model for your use-case and inference it with the above sample.

By the way, we have LaneNet to detect road line in DriveWorks SDK.
[url]https://developer.nvidia.com/driveworks[/url]

Although it doesn’t support Jetson, you can try it on your host to have some direction.
Thanks.

3

Hi, thank you for the info.

A few days ago I applicated for join de the drive developer program but my application was rejected because I use my personal mail for login.

It will help me if you can accept my application. I work for a company and I´m developing an Artifical Vision project. I try to edit my e-mail in the application for including my corporate e-mail but I cant.

I dont know if you can do something about that.

Thnak you for your help!

4

Hi,

You can use DEVZONE account to login.
The difference is the access for DRIVE AGX platform which should be okay with you.

Thanks.

5

hello

what is the Devzone account ??

this happened to me too , my application was rejected too .

can i have some help please

6

Hi,

Sorry for the late reply.
Devzone account is the account you use to login this forum.

Thanks.