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A minor change to avoid compiler warnings.
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@ -161,7 +161,7 @@ void initialize_object_properties()
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// So here is our function that samples a detection from our simulated sensor. You tell it
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// what object you want to sample a detection from and it returns a detection from that
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// object.
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detection sample_detection_from_sensor(unsigned long object_id)
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detection sample_detection_from_sensor(long object_id)
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{
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DLIB_CASSERT(object_id < num_objects,
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"You can't ask to sample a detection from an object that doesn't exist.");
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@ -230,7 +230,7 @@ track_history make_random_tracking_data_for_training()
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// ----------------------------------------------------------------------------------------
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std::vector<detection> make_random_detections(unsigned long num_dets)
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std::vector<detection> make_random_detections(long num_dets)
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{
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/*
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Finally, when we test the tracker we learned we will need to sample regular old
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@ -222,7 +222,7 @@ int main()
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// the algorithms have identified the sinc() curve. The hotter the pixel looks, the
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// larger the value coming out of the decision function and therefore the more "normal"
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// it is according to the classifier.
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const double size = 500;
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const long size = 500;
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array2d<double> img1(size,size);
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array2d<double> img2(size,size);
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for (long r = 0; r < img1.nr(); ++r)
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