Verification and validation of WAMI moving vehicle detector

Dependencies:

1. DeepConcolic (https://github.com/TrustAI/DeepConcolic) Folder "DeepConcolic/src/" is necessary.

2. Other packages including

   conda create -n wami-env python=3
   
   conda activate wami-env
   
   conda install -c menpo opencv keras nltk matplotlib scikit-image nomkl
   
   pip install saxpy sklearn hdf5storage adversarial-robustness-toolbox
   

To start the tool

              python main.py 

with a few optional paramters:

    [--attack True/False] with default False
    [--wasabi-image-folder path/to/wasabi/image/folder] with default "../../../wasabi-detection-python-new/WAPAFB_images_train/training/"
    [--input_image_idx n] with default "10"
    [--ROI_centre (x,y)] with default "4500, 5000"
    [--output-image-folder path/to/output/folder] with default "../savefig/"
    [--ROI_window n] with default "1000"
    [--num_of_template n] with default "3"