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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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Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm... -
Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det... -
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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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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Proceed with the project to update the 2012 version, or that you must reinstall Visual Studio 2010. If you are using Visual Studio 2... -
In the YUV color format, Y is bright information, U is blue color area, V is red color area. Show the below picture. The picture is u-v col... -
opencv lecture 4-1 example code < gist start > < gist end >
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check this tip! before (error) contours, _ = cv2.findContours(***, ***, ***) after (solved) _, contours, _ = cv2.findContours(***, **...
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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