CueCAn: Cue Driven Contextual Attention Unit for Identifying Missing Traffic Signs on Uncontrained Roads
Dataset Name: Missing Traffic Signs Video Dataset (MTSVD).
Available for download at the following link: https://idd.insaan.iiit.ac.in/dataset/download/
International Conference on Robotics and Automation 2023 https://ieeexplore.ieee.org/document/10161576
https://colab.research.google.com/drive/1ujnqXKmQHUQP91COmuu_HXkjitzh0fGC?usp=sharing
conda env create --name fcnkeras --file=environment.yml
Due to memory constraints in google colab, the gradCam for segmentation task can be run by the following:
git clone https://github.com/iHubData-Mobility/public-CueCAn.git
cd public-CueCAn
conda env create -f environment.yml
conda activate fcnkeras
gdown https://drive.google.com/uc?id=1xr0v0f-tMVCE-s_OCz5YCnkTXJW8HsS3
python gradSeg.py --model_dir cuecan_segmenter.h5 --img_dir images/context
And the segmentation outputs, would be stored in directory outSegGrad/