I'm trying to determine how to calculate the Dice Similarity Coefficient between two rasters. The one raster is the ground truth result of a road surface area, the second raster is the result from a Computer Vision and Machine Learning (Convolutional Neural Network). I'm trying to understand how the Dice Similarity Coefficient works so that I can replicate it as a Python\NumPy function to run against all the sample results and ground truth results that were manually determined.
NB: Id also like determine the following raster below which depicts True Positive; False Positive and False Negative
Wikipedia: Sorensen-Dice Cofficient