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24 lines
1.5 KiB
Plaintext
24 lines
1.5 KiB
Plaintext
These files contain the libraries needed to train and test Continuous Conditional Neural Fields (CCNF) and Continuous Conditional Random Fields (CCRF).
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The project was tested on Matlab R2012b and R2013a (can't guarantee compatibility with other versions).
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Some of the experiments rely on the availability of mex compiled liblinear (http://www.csie.ntu.edu.tw/~cjlin/liblinear/) and libsvm (http://www.csie.ntu.edu.tw/~cjlin/libsvm/) on your machine.
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--------------- Copyright information ---------------------------------------
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Copyright can be found in the Copyright.txt
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--------------- Code Layout -------------------------------------------------
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./CCNF - the training and inference libraries for CCNF
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./CCRF - the training and inference libraries for CCRF
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./patch_experts - training code for patch expert training (for facial landmark detection), the landmark detector that uses these patches can be found in https://github.com/TadasBaltrusaitis/CLM-framework.
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ccnf_training/ - training CCNF patch experts (for the Constrained Local Neural Fields for robust facial landmark detection in the wild paper)
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data_preparation/ - converting image and landmark datasets to the right formats
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svr_training/ - training SVR patch experts (the standard CLM patch experts)
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------------- Final remarks ------------------------------------------------
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I did my best to make sure that the code runs out of the box but there are always issues and I would be grateful for your understanding that this is research code. |