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This is just a fork for ugly hack to make original saliency code to run in OSX (and other Unix).

Compiling saliency.so:

  • Make sure you have opencv2 installed

  • Copy opencv libraries commands from output of

    $> pkg-config --libs opencv

  • Modify (if needed) OPENCV_LIBS in project_root/CmLib/Saliency/makefile with your opencv libs

  • Run either make shared_unix or make shared_osx depending on your system

Following is the original README:

This solution contains source code from Ming-Ming Cheng's research projects. Please refer to the project page for more source code and research data: http://mmcheng.net/

The source code is for educational and research use only; commercial use are forbidden. See: http://mmcheng.net/code-data/ for related patents. If you use any part of the source code, please cite related papers.

Questions directly related to my source code and project is welcome. Please refer to the project page for detailed contact information. Emails regarding questions like how to install and configure opencv? will not be replied.

Version History:

--------------------------- Version 0.9.3: ----------------------------------

Objectness estimation source code for [14CVPR]BING: Binarized Normed Gradients for Objectness Estimation at 300fp have been added.

--------------------------- Version 0.9.2: ----------------------------------

Salient object detection and segmentation source code for [14PAMI]Global Contrast based Salient Region Detection have been added.

--------------------------- Version 0.9.1: ----------------------------------

Partial source code for [14TOG]ImageSpirit: Verbal Guided Image Parsing have been added.

--------------------------- Version 0.9: ----------------------------------

Source code for [13ICCV]Efficient Salient Region Detection with Soft Image Abstraction and related source code from other projects are added. It contains source code from: [13TVCJ]SalientShape: Group Saliency in Image Collections, [14TPAMI]Salient Object Detection and Segmentation, and [11CVPR]Global Contrast based Salient Region Detection.