From e83f2c96437b382f9dbd364b5b855dcc749fea09 Mon Sep 17 00:00:00 2001
From: Sebastian Gomez-Gonzalez <sebastian@robot-learning.de>
Date: Wed, 2 Aug 2017 17:26:34 +0200
Subject: [PATCH] Small modification to display log likelihood instad of binary
image
---
examples/tracking/track.cpp | 14 +-------------
1 file changed, 1 insertion(+), 13 deletions(-)
diff --git a/examples/tracking/track.cpp b/examples/tracking/track.cpp
index c0b68f2..f6224fd 100644
--- a/examples/tracking/track.cpp
+++ b/examples/tracking/track.cpp
@@ -49,19 +49,7 @@ int main(int argc, char** argv) {
std::cout << "Computation took "
<< std::chrono::duration_cast<std::chrono::milliseconds>(end_t - start_t).count() <<
" milliseconds" << endl;
- /*cout << "pix data:" << im_proc.at<double>(340, 290) << endl
- << im_proc.at<double>(342, 291) << endl
- << im_proc.at<double>(290, 340) << endl
- << im_proc.at<double>(2, 2) << endl;*/
- MatIterator_<double> it_ans = im_proc.begin<double>(),end=im_proc.end<double>();
- //MatIterator_<Vec3b> it=im_proc.begin<Vec3b>(), end=im_proc.end<Vec3b>();
- while(it_ans != end){
- //cout << "pix data:" << *it_ans << endl;
- double prob = 1.0 / (1.0 + exp(-*it_ans));
- //*it_ans = 255*prob;
- *it_ans = (prob > 0.95) ? 255 : 0;
- it_ans++;
- }
+ normalize(im_proc, im_proc, 0, 1, NORM_MINMAX);
imshow("Color", im_proc);
waitKey(0);
--
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