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// The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
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/*
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This is an example illustrating the use of the Bulk Synchronous Parallel (BSP)
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processing tools from the dlib C++ Library. These tools allow you to easily setup a
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number of processes running on different computers which cooperate to compute some
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result.
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This example shows how to use the correlation_tracker from the dlib C++ library. This
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object lets you track the position of an object as it moves from frame to frame in a
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video sequence. To use it, you give the correlation_tracker the bounding box of the
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object you want to track in the current video frame. Then it will identify the
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location of the object in subsequent frames.
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In this particular example, we are going to run on the video sequence that comes with
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dlib, which can be found in the examples/video_frames folder. This video shows a juice
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box sitting on a table and someone is waving the camera around. The task is to track the
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position of the juice box as the camera moves around.
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*/
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#include <dlib/image_processing.h>
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@ -26,6 +31,7 @@ int main(int argc, char** argv) try
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return 1;
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}
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// Get the list of video frames.
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std::vector<file> files = get_files_in_directory_tree(argv[1], match_ending(".jpg"));
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std::sort(files.begin(), files.end());
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if (files.size() == 0)
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@ -34,12 +40,17 @@ int main(int argc, char** argv) try
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return 1;
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}
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// Load the first frame.
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array2d<unsigned char> img;
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load_image(img, files[0]);
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// Now create a tracker and start a track on the juice box. If you look at the first
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// frame you will see that the juice box is centered at pixel point(92,110) and 38
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// pixels wide and 86 pixels tall.
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correlation_tracker tracker;
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tracker.start_track(img, centered_rect(point(93,110), 38, 86));
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// Now run the tracker. All we have to do is call tracker.update() and it will keep
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// track of the juice box!
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image_window win;
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for (unsigned long i = 1; i < files.size(); ++i)
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{
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