Detect and classify traffic signs with Faster R-CNN and ResNet neural networks from photos as a team project for Convolution Neural Networks (KNN) Course at BUT FIT.
Run install.sh to create a virtual environment and install all dependencies in it.
To try detection and classification, load your images to examples directory and run:
python3 main.py --input examples in project root folder. Do not forget to have all necessary models downloaded in models directory.
Detect and classify traffic signs with Faster R-CNN and ResNet neural networks from photos as a team project for Convolution Neural Networks (KNN) Course at BUT FIT.