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Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
The MNIST dataset is a dataset of handwritten digits, comprising 60 000 training examples and 10 000 test examples. The dataset can be downl... -
line, circle, rectangle, ellipse, polyline, fillConvexPoly, putText, drawContours example source code!!. ... //http://study.... -
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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* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm... -
This post is about how to copy Mat data to vector and copy vector data to Mat. Reference this example source code. printf("///////...
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Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det... -
fig 1. Left: set 4 points (Left Top, Right Top, Right Bottom, Left Bottom), right:warped image to (0,0) (300,0), (300,300), (0,300) Fi... -
Proceed with the project to update the 2012 version, or that you must reinstall Visual Studio 2010. If you are using Visual Studio 2... -
Basically, this example use networkX python library. I made very simple two graphs which are G1, G2 Let see here: and nx.graph_edit_...
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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