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* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm... -
As you can see in the following video, I created a class that stitching n cameras in real time. https://www.youtube.com/user/feelmare/sear...
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Video stabilization example source code. The principle is like that... Firstly, to obtain 2 adjacent images extract good feature to t... -
go to project settings find python in plugins category and put your "site-packages" path on addtional paths -> index[0] input ...
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My Environment : MS VS 2008 & MFC(Dialog Based) Joy Stick : Logitech Extreme 3D pro (XBox Type) Cteated Date : 2012. 03 [source code]... -
Created Date : 2011.10 Language : C/C++ Tool : Microsoft Visual C++ 2008 Library & Utilized : OpenCV 2.3 Reference : SIFT referenc... -
In past, I wrote an articel about YUV 444, 422, 411 introduction and yuv <-> rgb converting example code. refer to this page -> ht...
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This is GPU version of this page -> http://feelmare.blogspot.kr/2013/12/finding-largest-subset-images-that-is.html Please refer detail ... -
numberList = [ 1 , 2 , 3 , 4 , 5 ] strList = [ 'one' , 'two' , 'three' , 'five' ] # No iterables are passe... -
Created Date : 2007.8 Language : Matlab / C++(MFC) Tool : Matlab / Visual C++ 6.0 Library & Utilized : - / OpenGL Reference : ...
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ReplyDeleteThis one is better than "More stringent pedestrian detection by Deep learning verification" and "More stringent pedestrian detection by HOG verification". Do you use OpenCV to achieve such result?
ReplyDeleteDetecting pedestrian using Deep learning is recorded high rate false positive, but not sensitive variable pedestrian pose. and processing speed is not good.
DeleteHog is fast, but to detect typical appearance when training data pose.
So, I can not say yet, which way is better..
Thank you.
can you share this source code! Thank you
ReplyDelete