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!