Deep Structured Active Contours (DSAC)
This code allows to train a CNN model to predict a good map of penalizations for the different term of an Active Contour Model (ACM) such that the result gets close to a set of ground truth contours, as presented in  (to appear in CVPR 2018).
A preprint of the paper can be found in https://arxiv.org/pdf/1803.06329.pdf
Download and unzip the datasets. Modify the dataset paths in the main files and run them with Python 3. Requires Tensorflow 1.4.
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