In short, a C compiler has to be configured with MATLAB and then used to build the binary MEX file for SLIC which is called in the pipeline. Our fog simulation pipeline makes use of SLIC superpixels, for which the algorithm is implemented in the form of a source MEX file for usage in MATLAB. Users will have to build a binary MEX file for SLIC superpixels themselves in MATLAB (see instructions below), which requires a MATLAB-supported C compiler. If such a configuration is not possible, using an earlier MATLAB release is the recommended (though not tested) alternative. We therefore recommend using release 2014a or later.
#Matlab 2014a system requirements code
The code has been developed and tested in MATLAB releases 2014a, 2016b and 2017b.
#Matlab 2014a system requirements license
Our fog simulation code is made available for non-commercial use under the license agreement which is contained in the license file. our publication as listed on our website,.If you use our fog simulation code in your work, please cite: This pipeline involves computation of a denoised and complete depth map as well as a corresponding transmittance map, the latter being combined with the real clear-weather image to obtain the partially synthetic foggy image. This is the source code for the fog simulation pipeline that we present in our IJCV article titled Semantic Foggy Scene Understanding with Synthetic Data, which is used to create the Foggy Cityscapes dataset from the original Cityscapes dataset. Fog Simulation on Real Scenes for Partially Synthetic Foggy DataĬreated by Christos Sakaridis at Computer Vision Lab, ETH Zurich.
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