Python notebook to import the Cerema AWP dataset in hdf5 format
The Cerema AWP (Adverse Weather Pedestrian) can be downloaded at https://ceremadlcfmds.wixsite.com/cerema-databases.
The proposed script here let you import in one single hdf5 file all images and labels, split into train and test sets (0.15% of the images in the test set), with an equivalent proportion of each class in train and test. Images can be resized be setting a proportion parameter, and cropped to be squared.
usage: exportCeremaAWP.py [-h] [-s] [-p PROP] [-o OUTPUTFILE]
optional arguments: -h, --help show this help message and exit -s Requires to crop images to get squares -p PROP Proportion of initial size for resizing (default 0.25) -o OUTPUTFILE Output file (default CeremaAWP0.25.hdf5)