Skip to content
Kan-Hua Lee
Go back

Traffic light classification without (re-)training a DNN model

traffic_light_demo

I did this project partly for Udacity’s Self-Driving car degree and was lazy to train and retraing a DNN model. It ends up that this solution is not so lazy, but I did learn some details and traps of using a HSV or HSL color space.

I posted the writing-up as a Kaggle Kernel here.


Share this post on:

Previous Post
3D object detection with Lyft self-driving car data
Next Post
Lane line detection