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Logistic Classifier The logistic classifier is similar to equation of the plane. W is weight vector, X is input vector and y is output... -
dp parameter is about resolution of voting space. dp is larger, voting resolution is small compare to image size. so dp is larger, circle... -
line, circle, rectangle, ellipse, polyline, fillConvexPoly, putText, drawContours example source code!!. ... //http://study.... -
In past, I wrote an articel about YUV 444, 422, 411 introduction and yuv rgb converting example code. refer to this page -> http://feel...
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I once wrote the following article. http://study.marearts.com/2014/04/opencv-study-mat-point-access-method.html This article is a sample c... -
Mounting Remote Data for GPU Training This guide explains how to access data from Computer A (data server) on Computer B (GPU machine) for...
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//Singular value decomposition : Mat w, u, v; SVDecomp(data, w, u, v); // A = U W V^T //The flags cause U and V to be returned transpose...
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refer to this code: . # If you want to combine a Vision Transformer (ViT) as an encoder with a Transformer-based decoder, # you can follow t...
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The latent SVM tells the learning method used in this paper -> "Discriminatively trained deformable part models". The authors s... -
EMD(earth mover distance) method is very good method to compare image similarity. But processing time is slow. For using the EMD compare, ...
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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