文件列表:

saliencyfilters (0, 2017-08-01)
saliencyfilters\cmake (0, 2017-08-01)
saliencyfilters\cmake\FindTBB.cmake (1202, 2012-11-08)
saliencyfilters\CMakeLists.txt (236, 2012-11-08)
saliencyfilters\src (0, 2017-08-01)
saliencyfilters\src\CMakeLists.txt (587, 2012-11-08)
saliencyfilters\src\evaluate.cpp (7404, 2012-11-08)
saliencyfilters\src\filter (0, 2017-08-01)
saliencyfilters\src\filter\CMakeLists.txt (51, 2012-11-08)
saliencyfilters\src\filter\filter.cpp (2718, 2012-11-08)
saliencyfilters\src\filter\filter.h (2395, 2012-11-08)
saliencyfilters\src\filter\permutohedral.cpp (1610, 2012-11-08)
saliencyfilters\src\filter\permutohedral.h (23271, 2012-11-08)
saliencyfilters\src\gnuplot_i.hpp (59428, 2012-11-08)
saliencyfilters\src\saliency (0, 2017-08-01)
saliencyfilters\src\saliency\CMakeLists.txt (89, 2012-11-08)
saliencyfilters\src\saliency\fastmath.h (4197, 2012-11-08)
saliencyfilters\src\saliency\saliency.cpp (9600, 2012-11-08)
saliencyfilters\src\saliency\saliency.h (3480, 2012-11-08)
saliencyfilters\src\saliency\sse_defs.h (2305, 2012-11-08)
saliencyfilters\src\superpixel (0, 2017-08-01)
saliencyfilters\src\superpixel\CMakeLists.txt (92, 2012-11-08)
saliencyfilters\src\superpixel\superpixel.cpp (9601, 2012-11-08)
saliencyfilters\src\superpixel\superpixel.h (2876, 2012-11-08)
saliencyfilters\src\test_saliency.cpp (2073, 2012-11-08)
saliencyfilters\src\test_superpixel.cpp (2230, 2012-11-08)

Saliency Filters - Code ============= http://www.fedeperazzi.com/saliency_filters (project page) http://www.stanford.edu/~philkr/ (code) This software pertains to the research described in the CVPR 2012 paper: Saliency Filters: Contrast Based Filtering for Salient Region Detection, by Federico Perazzi, Philipp Krhenbhl, Yael Pritch and Alexander Hornung If you're using this code in a publication, please cite our paper. This software is provided for research purposes, with absolutely no warranty or suggested support, and use of it must follow the BSD license agreement, at the top of each source file. *Please do not contact the authors for assistance with installing, understanding or running the code.* However if you think you have found an interesting bug, the authors would be grateful if you could pass on the information. Note that all experimental results reported in the paper are based on the original implementation of our algorithm that we developed while at Disney Research, Zurich. We are not allowed to distribute that version. This implementation is a comparable version that I later independently re-implemented based on published materials. Both the filtering (src/filter), and the superpixel code (src/superpixel) are pieces of software I wrote at Stanford before I joined Disney Research Zurich. Feel free to use them however you see fit. If you use the filtering code please cite my NIPS 2011 paper, where I copied the code from: Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials, by Philipp Krhenbhl and Vladlen Koltun Disney might hold a patent the saliency filter code (src/saliency). I advise you to use this part for research purposes only. How to compile the code ----------------------- Dependencies: * cmake http://www.cmake.org/ * OpenCV (2.3+) http://www.opencv.org/ * TBB (optional) http://www.threadingbuildingblocks.org/ Linux, Mac OS X and Windows (cygwin): mkdir build cd build cmake -D CMAKE_BUILD_TYPE=Release .. make cd .. Windows You're probably better off just copying all files into a Visual Studio project How to run ---------- To compute the saliency of a single image use: build/src/test_saliency path/to/image To compute the superpixel segmentation of a single image use: build/src/test_superpixel path/to/image To run our algorithm on the benchmark of Achanta etal. set dataset_path and ground_truth_path in evaluate.cpp. Then compile the code and run build/src/evaluate Note that this code might be a bit slower than the one used in our paper since, both the superpixel segmentation and the filter were not fully optimized.

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