| #! /bin/sh | |
| # http://tinsuke.wordpress.com/2011/11/01/how-to-compile-and-use-tesseract-3-01-on-ios-sdk-5/ | |
| # cd /usr/local/src | |
| # mkdir Tesseact | |
| # cd Tesseact | |
| # wget "http://www.leptonica.com/source/leptonica-1.68.tar.gz" | |
| # wget "http://tesseract-ocr.googlecode.com/files/tesseract-3.01.tar.gz" | |
| # | |
| # mkdir dependencies | |
| # tar xzf leptonica-1.68.tar.gz |
これは、OpenCV の opencv_traincascade を マルチコアで高速に行うために, AWS EC2を使うための設定メモです。 EC2 の 「Amazon Linux AMI 2012.03」に OpenCV2.4.0 を TBB 付きでInstallします。 使い方のイメージは「HiCPUのEC2インスタンスで学習を実行し、実行結果のXMLをS3にUploadしたらEC2インスタンスをshutdownする」です。
なんか、色々非効率なことをしている部分もあると思いますが、ご了承ください。 ちなみに、このAMIイメージを選んだ理由は特にないです。
| ffmpeg -i IMG_1599.MOV -s 640x360 -r 3 -ss 0 -sameq -vcodec mjpeg img-%03d.jpg | |
| for i in `ls *.MOV`;do; ffmpeg -i $i -s 640x360 -r 5 -ss 0 -sameq -vcodec mjpeg ${i/.MOV/}-%03d.jpg; done | |
| for i in `ls IMG_*.jpg`;do; convert $i -rotate 90 ${i/IMG/im}; rm $i; done |
| /* | |
| * performance.cpp | |
| * copied from http://pastebin.com/V8RfGuid ( http://comments.gmane.org/gmane.comp.lib.opencv/52984 ) | |
| * | |
| * Measure performance of classifier | |
| * | |
| * License: | |
| * * The original source code's license is unknown... But, I guess some OSS License is assumed. | |
| * * So, | |
| * 1. this source code's is applied the original license. |
| --- imagestorage.cpp.orig 2012-05-22 06:03:04.257949013 +0000 | |
| +++ imagestorage.cpp 2012-05-18 04:03:03.093470949 +0000 | |
| @@ -149,15 +149,15 @@ | |
| bool CvCascadeImageReader::PosReader::get( Mat &_img ) | |
| { | |
| CV_Assert( _img.rows * _img.cols == vecSize ); | |
| + if( feof( file ) || last++ >= count ) | |
| + return false; | |
| + | |
| uchar tmp = 0; |
| cd data/source_data | |
| find posorig -type f -name '*.png' > pos.dat | |
| find testimages -type f | grep -v .DS | grep -v sqlite > testbg.dat | |
| DNAME=testset5 | |
| WIDTH=57 | |
| HEIGHT=23 | |
| perl ../../script/createtestsamples.pl pos.dat testbg.dat tests 1000 "opencv_createsamples -w $WIDTH -h $HEIGHT -bgcolor 0 -bgthresh 0 -maxxangle 0.02 -maxyangle 0.02 -maxzangle 0.1 -maxidev 40" | |
| find tests -name 'info.dat' -exec cat \{\} \; > tests.dat | |
| mkdir ../../../test_data/$DNAME | |
| mv tests tests.dat ../../../test_data/$DNAME |
| diff -x 'performance.cpp*' -aru haartraining.orig/_cvhaartraining.h haartraining/_cvhaartraining.h | |
| --- haartraining.orig/_cvhaartraining.h 2012-05-24 16:46:30.000000000 +0900 | |
| +++ haartraining/_cvhaartraining.h 2012-05-24 16:24:54.000000000 +0900 | |
| @@ -320,6 +320,14 @@ | |
| double maxxangle, double maxyangle, double maxzangle, | |
| int inscribe, double maxshiftf, double maxscalef, | |
| CvSampleDistortionData* data ); | |
| + | |
| +void icvPlaceDistortedSample( CvArr* background, | |
| + int inverse, int maxintensitydev, |
| #!/bin/bash | |
| ################################################################################ | |
| # This script will create universal binaries for OpenCV library for | |
| # iOS-based devices (iPhone, iPad, iPod, etc). | |
| # As output you obtain debug/release static libraries and include headers. | |
| # | |
| # This script was written by Eugene Khvedchenya | |
| # And distributed under GPL license | |
| # Support site: http://computer-vision-talks.com | |
| ################################################################################ |
| git filter-branch --index-filter 'git rm -rf --cached --ignore-unmatch MYAPP/bin' HEAD |
| ; AutoHotKey Script | |
| ^p::Send {UP} | |
| ^n::Send {DOWN} | |
| ^f::Send {RIGHT} | |
| ^b::Send {LEFT} | |
| ^e::Send {END} | |
| ^a::^q | |
| ^q::^a |