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ç¬¬3å›žã€€ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆæ¤œå‡ºã—ã¦ã¿ã‚ˆã† | gihyo.jp
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yuiseki 2016/02/25
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HOGç‰¹å¾´é‡ - Hirokatsu Kataoka's wiki
/* HOGç‰¹å¾´é‡ */ // image:ç”»åƒã®é…åˆ— // width:ç”»åƒã®å¹… // height:ç”»åƒã®é«˜ã• // histogram_dimension:ãƒ’ã‚¹ãƒˆã‚°ãƒ©ãƒ ã®è¦ç´ æ•° // cell_column:ã‚»ãƒ«ã®åˆ—æ•°ï¼ˆæ¨ªæ–¹å‘ã«ç”»åƒã‚’ä½•åˆ†å‰²ã™ã‚‹ã‹ï¼‰ // cell_row:ã‚»ãƒ«ã®è¡Œæ•°ï¼ˆç¸¦æ–¹å‘ã®ç”»åƒã‚’ä½•åˆ†å‰²ã™ã‚‹ã‹ï¼‰ // block_column:ï¼‘ãƒ–ãƒãƒƒã‚¯ã®åˆ—æ•° // block_row:ï¼‘ãƒ–ãƒãƒƒã‚¯ã®è¡Œæ•° // feature_vector:HOGç‰¹å¾´ãƒ™ã‚¯ãƒˆãƒ«ã®é…åˆ— // feature_vector_dimension:HOGç‰¹å¾´ãƒ™ã‚¯ãƒˆãƒ«ã®æ¬¡å…ƒæ•° //histogram_dimension*block_column*block_row*(cell_row - block_row) * (cell_column - block_column) void HOG(IplImage *i
yuiseki 2012/06/10
opencv

hog

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First Success in HOG descriptor training
My own trained detector using Dalal HOG method. detection time = 873.865ms Opencv2.1 has peopledetect.cpp that come with Dalal default detector. It does not provide the details how the detector can be trained. In this blog, I present the training method I have done so far. The result is shown in the left. My request toward reader: I still do not know how the Det graph and performance measurement c
yuiseki 2012/06/10
hog

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yuiseki 2012/06/10
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yuiseki 2012/06/08
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OpenCV ã§æ©Ÿæ¢°å¦ç¿’ã‚’è©¦ã—ã¦ã¿ã‚‹â€¦ã¨ã¾ã çµ‚ã‚ã‚‰ãš | Moonmile Solutions Blog
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yuiseki 2012/01/29
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OpenCV ã§æ©Ÿæ¢°å¦ç¿’ã‚’è©¦ã—ã¦â€¦ã¿ãŸ | Moonmile Solutions Blog
OpenCV ã§æ©Ÿæ¢°å¦ç¿’ã‚’è©¦ã—ã¦ã¿ã‚‹â€¦ã¨ã¾ã çµ‚ã‚ã‚‰ãš | Moonmile Solutions Blog http://www.moonmile.net/blog/archives/2537 ã‚’ã€ã€Œ-m 500ã€ã«è¨å®šã—ã¦4æ™‚é–“ç¨‹å‹•ã‹ã™ã¨ XML ãƒ•ã‚¡ã‚¤ãƒ«ãŒå‡ºæ¥ä¸ŠãŒã‚Šã¾ã—ãŸã€‚ æ¤œå‡ºç”¨ã®ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’ã–ã£ã¨ä½œã£ã¦ã€ #include "stdafx.h" #include <iostream> #include "opencv/cv.h" #include "opencv/highgui.h" using namespace std; int main(int argc, char* argv[]) { /* ç”»åƒã®ãƒãƒ¼ãƒ‰ */ char *fname = argv[1]; cv::Mat image = cv::imread( fname ); /* æ¤œå‡ºå™¨ã®ãƒãƒ¼ãƒ‰ */ // char *
yuiseki 2012/01/29
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yuiseki 2012/01/29
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