I am developing a detection system for traffic signs. I have grouped them on 5 main categories: prohibitory, mandatory, danger, stop and yield. The next step would be to classify the speed limit signs, that are part of the prohibitory group. In order to do that, I tried using Tesseract in C++, but the process is very slow.
I am going to try to do a classifier in prohibitory signs. I am going to follow this tutorial:
https://pjreddie.com/darknet/train-cifar/. However, I can not find any method in C++ Yolo API that allows me to use the darknet classifier operation. Could anyone tell me how to use it? And what do you think of my approach?
Hi!
I am developing a detection system for traffic signs. I have grouped them on 5 main categories: prohibitory, mandatory, danger, stop and yield. The next step would be to classify the speed limit signs, that are part of the prohibitory group. In order to do that, I tried using Tesseract in C++, but the process is very slow.
I am going to try to do a classifier in prohibitory signs. I am going to follow this tutorial: https://pjreddie.com/darknet/train-cifar/. However, I can not find any method in C++ Yolo API that allows me to use the darknet classifier operation. Could anyone tell me how to use it? And what do you think of my approach?
Thanks!