mecab-ipadic-neologd は、多数のWeb上の言語資源から得た新語を追加することでカスタマイズした MeCab 用のシステム辞書です。まさに必要としていたものが公開されていたことに感動を覚えます。
$ sudo PATH=$PATH:/usr/local/mecab/mecab-0.996/bin ./bin/install-mecab-ipadic-neologd -n
$ echo "備忘録とかそんな感じの" | mecab -d /usr/local/mecab/mecab-0.996/lib/mecab/dic/mecab-ipadic-neologd
備忘録 名詞,一般,*,*,*,*,備忘録,ビボウロク,ビボーロク
とか 助詞,並立助詞,*,*,*,*,とか,トカ,トカ
そんな 連体詞,*,*,*,*,*,そんな,ソンナ,ソンナ
感じ 名詞,一般,*,*,*,*,感じ,カンジ,カンジ
の 助詞,連体化,*,*,*,*,の,ノ,ノ
EOS
alias mecab-with-neolog='mecab -d /usr/local/mecab/mecab-0.996/lib/mecab/dic/mecab-ipadic-neologd'
$ mecab-with-neolog -D
filename: /usr/local/mecab/mecab-0.996/lib/mecab/dic/mecab-ipadic-neologd/sys.dic
version: 102
charset: UTF8
type: 0
size: 2068937
left size: 1316
right size: 1316
$ echo "続・わかりやすいパターン認識 教師なし学習入門" | mecab
続 接頭詞,名詞接続,*,*,*,*,続,ゾク,ゾク
・ 記号,一般,*,*,*,*,・,・,・
わかり 動詞,自立,*,*,五段・ラ行,連用形,わかる,ワカリ,ワカリ
やすい 形容詞,非自立,*,*,形容詞・アウオ段,基本形,やすい,ヤスイ,ヤスイ
パターン 名詞,一般,*,*,*,*,パターン,パターン,パターン
認識 名詞,サ変接続,*,*,*,*,認識,ニンシキ,ニンシキ
記号,空白,*,*,*,*, , ,
教師 名詞,一般,*,*,*,*,教師,キョウシ,キョーシ
なし 形容詞,自立,*,*,形容詞・アウオ段,文語基本形,ない,ナシ,ナシ
学習 名詞,サ変接続,*,*,*,*,学習,ガクシュウ,ガクシュー
入門 名詞,サ変接続,*,*,*,*,入門,ニュウモン,ニューモン
$ echo "続・わかりやすいパターン認識 教師なし学習入門" | mecab-with-neolog
続 接頭詞,名詞接続,*,*,*,*,続,ゾク,ゾク
・ 記号,一般,*,*,*,*,・,・,・
わかり 動詞,自立,*,*,五段・ラ行,連用形,わかる,ワカリ,ワカリ
やすい 形容詞,非自立,*,*,形容詞・アウオ段,基本形,やすい,ヤスイ,ヤスイ
パターン認識 名詞,固有名詞,一般,*,*,*,パターン認識,パターンニンシキ,パターンニンシキ
記号,空白,*,*,*,*, , ,
教師 名詞,一般,*,*,*,*,教師,キョウシ,キョーシ
なし 形容詞,自立,*,*,形容詞・アウオ段,文語基本形,ない,ナシ,ナシ
学習 名詞,サ変接続,*,*,*,*,学習,ガクシュウ,ガクシュー
入門 名詞,サ変接続,*,*,*,*,入門,ニュウモン,ニューモン
EOS
echo "とある魔術の禁書目録" | mecab
とある 連体詞,*,*,*,*,*,とある,トアル,トアル
魔術 名詞,一般,*,*,*,*,魔術,マジュツ,マジュツ
の 助詞,連体化,*,*,*,*,の,ノ,ノ
禁書 名詞,一般,*,*,*,*,禁書,キンショ,キンショ
目録 名詞,一般,*,*,*,*,目録,モクロク,モクロク
EOS
$ echo "とある魔術の禁書目録" | mecab-with-neolog
とある魔術の禁書目録 名詞,固有名詞,一般,*,*,*,とある魔術の禁書目録,トアルマジュツノインデックス,トアルマジュツノインデックス
EOS
$ echo "リア充やリア充爆発しろとはどういう意味なのでしょうか。" | mecab
リア 名詞,固有名詞,人名,名,*,*,リア,リア,リア
充 名詞,固有名詞,人名,名,*,*,充,タカシ,タカシ
や 助詞,並立助詞,*,*,*,*,や,ヤ,ヤ
リア 名詞,一般,*,*,*,*,リア,リア,リア
充 名詞,固有名詞,人名,名,*,*,充,タカシ,タカシ
爆発 名詞,サ変接続,*,*,*,*,爆発,バクハツ,バクハツ
しろ 動詞,自立,*,*,サ変・スル,命令ｒｏ,する,シロ,シロ
と 助詞,格助詞,引用,*,*,*,と,ト,ト
は 助詞,係助詞,*,*,*,*,は,ハ,ワ
どういう 連体詞,*,*,*,*,*,どういう,ドウイウ,ドーユウ
意味 名詞,サ変接続,*,*,*,*,意味,イミ,イミ
な 助動詞,*,*,*,特殊・ダ,体言接続,だ,ナ,ナ
の 名詞,非自立,一般,*,*,*,の,ノ,ノ
でしょ 助動詞,*,*,*,特殊・デス,未然形,です,デショ,デショ
う 助動詞,*,*,*,不変化型,基本形,う,ウ,ウ
か 助詞,副助詞／並立助詞／終助詞,*,*,*,*,か,カ,カ
。 記号,句点,*,*,*,*,。,。,。
EOS
$ echo "リア充やリア充爆発しろとはどういう意味なのでしょうか。" | mecab-with-neolog
リア充 名詞,固有名詞,一般,*,*,*,リア充,リアジュウ,リアジュー
や 助詞,並立助詞,*,*,*,*,や,ヤ,ヤ
リア充爆発しろ 名詞,固有名詞,一般,*,*,*,リア充爆発しろ,リアジュウバクハツシロ,リアジュウバクハツシロ
と 助詞,格助詞,引用,*,*,*,と,ト,ト
は 助詞,係助詞,*,*,*,*,は,ハ,ワ
どういう 連体詞,*,*,*,*,*,どういう,ドウイウ,ドーユウ
意味 名詞,サ変接続,*,*,*,*,意味,イミ,イミ
な 助動詞,*,*,*,特殊・ダ,体言接続,だ,ナ,ナ
の 名詞,非自立,一般,*,*,*,の,ノ,ノ
でしょ 助動詞,*,*,*,特殊・デス,未然形,です,デショ,デショ
う 助動詞,*,*,*,不変化型,基本形,う,ウ,ウ
か 助詞,副助詞／並立助詞／終助詞,*,*,*,*,か,カ,カ
。 記号,句点,*,*,*,*,。,。,。
EOS
研究者らが無償のオープンソース版Siriを開発
http://t.co/SLOSOivYDv
#人工知能 #ディープラーニング #パーソナルアシスタント
— Ryuta AOKI (@ryuta_aoki) 2015, 3月 24
ファッ？！ってなりますよね？「Siriusとは、音声認識、画像マッチング、自然言語処理および質疑応答システムなどのIPA（インテリジェントパーソナルアシスタント）の中心的機能を果たすものである」と書かれています。
$ cd ${VAGRANT_DIR}
$ vagrant up$ cd /path/to/sirius/sirius-application/run-scripts/
$ ./start-asr-server.sh pocketsphinx &$ ./sirius-asr-test.sh ../inputs/questions/what.is.the.speed.of.light.wavYour audio file is:
../inputs/questions/what.is.the.speed.of.light.wav
Sending request to server localhost:8081/ ...
transcript []: what is the speed of light
what is the speed of light
***********************************************$ cd /path/to/sirius/sirius-application/run-scripts/
$ ./start-imm-server.sh &$ ./sirius-imm-test.sh ../image-matching/matching/landmarks/query/query.jpg(1) Your image file is:
../image-matching/matching/landmarks/query/query.jpg
img: tower-pisa.jpg data: tower pisa
Image data: tower pisa$ cd /path/to/sirius/sirius-application/run-scripts/
$ ./start-qa-server.sh &$ ./sirius-qa-test.sh "what is the speed of light"(1) Your query text is:
what is the speed of light
(2) Sending request to server...
Query str: query=what%20is%20the%20speed%20of%20light
+++++ Analyzing question (2015-04-11 08:53:20) +++++
Normalization: what be the speed of light
Answer types:
NErate->NEspeed
Interpretations:
Property: SPEED
Target: light
Predicates:
-
+++++ Generating queries (2015-04-11 08:53:22) +++++
Query strings:
speed light
("speed of light" OR "light speed")
"light" speed light
"the speed of light is"
"is the speed of light"
+++++ Searching (2015-04-11 08:53:22) +++++
+++++ Selecting Answers (2015-04-11 08:53:34) +++++
Filter "AnswerTypeFilter" started, 64 Results (2015-04-11 08:53:34)
Filter "AnswerTypeFilter" finished, 81 Results (2015-04-11 08:53:35)
Filter "AnswerPatternFilter" started, 81 Results (2015-04-11 08:53:35)
Filter "AnswerPatternFilter" finished, 439 Results (2015-04-11 08:53:45)
Filter "PredicateExtractionFilter" started, 439 Results (2015-04-11 08:53:45)
Filter "PredicateExtractionFilter" finished, 439 Results (2015-04-11 08:53:45)
Filter "FactoidsFromPredicatesFilter" started, 439 Results (2015-04-11 08:53:45)
Filter "FactoidsFromPredicatesFilter" finished, 439 Results (2015-04-11 08:53:45)
Filter "TruncationFilter" started, 439 Results (2015-04-11 08:53:45)
Filter "TruncationFilter" finished, 408 Results (2015-04-11 08:53:46)
Filter "StopwordFilter" started, 408 Results (2015-04-11 08:53:46)
Filter "StopwordFilter" finished, 371 Results (2015-04-11 08:53:46)
Filter "QuestionKeywordsFilter" started, 371 Results (2015-04-11 08:53:46)
Filter "QuestionKeywordsFilter" finished, 341 Results (2015-04-11 08:53:46)
Filter "ScoreNormalizationFilter" started, 341 Results (2015-04-11 08:53:46)
Filter "ScoreNormalizationFilter" finished, 341 Results (2015-04-11 08:53:46)
Filter "ScoreCombinationFilter" started, 341 Results (2015-04-11 08:53:46)
Filter "ScoreCombinationFilter" finished, 341 Results (2015-04-11 08:53:46)
Filter "FactoidSubsetFilter" started, 341 Results (2015-04-11 08:53:46)
Filter "FactoidSubsetFilter" finished, 338 Results (2015-04-11 08:53:46)
Filter "DuplicateFilter" started, 338 Results (2015-04-11 08:53:46)
Filter "DuplicateFilter" finished, 172 Results (2015-04-11 08:53:46)
Filter "ScoreSorterFilter" started, 172 Results (2015-04-11 08:53:46)
Filter "ScoreSorterFilter" finished, 172 Results (2015-04-11 08:53:46)
299,792,458 meters per second
***********************************************
$ ./sirius-qa-test.sh "where is saga?"(1) Your query text is:
where is saga?
(2) Sending request to server...
Query str: query=where%20is%20saga%3F
+++++ Analyzing question (2015-04-11 08:54:24) +++++
Normalization: where be saga
Answer types:
NElocation
Interpretations:
Property: PLACE
Target: saga
Predicates:
-
+++++ Generating queries (2015-04-11 08:54:24) +++++
Query strings:
saga
saga
"saga" saga
"saga is in"
"saga is at"
+++++ Searching (2015-04-11 08:54:24) +++++
+++++ Selecting Answers (2015-04-11 08:54:27) +++++
Filter "AnswerTypeFilter" started, 24 Results (2015-04-11 08:54:27)
Filter "AnswerTypeFilter" finished, 345 Results (2015-04-11 08:54:30)
Filter "AnswerPatternFilter" started, 345 Results (2015-04-11 08:54:30)
Filter "AnswerPatternFilter" finished, 6183 Results (2015-04-11 08:54:45)
Filter "PredicateExtractionFilter" started, 6183 Results (2015-04-11 08:54:45)
Filter "PredicateExtractionFilter" finished, 6183 Results (2015-04-11 08:54:45)
Filter "FactoidsFromPredicatesFilter" started, 6183 Results (2015-04-11 08:54:45)
Filter "FactoidsFromPredicatesFilter" finished, 6183 Results (2015-04-11 08:54:45)
Filter "TruncationFilter" started, 6183 Results (2015-04-11 08:54:45)
Filter "TruncationFilter" finished, 4301 Results (2015-04-11 08:54:46)
Filter "StopwordFilter" started, 4301 Results (2015-04-11 08:54:46)
Filter "StopwordFilter" finished, 3440 Results (2015-04-11 08:54:48)
Filter "QuestionKeywordsFilter" started, 3440 Results (2015-04-11 08:54:48)
Filter "QuestionKeywordsFilter" finished, 3174 Results (2015-04-11 08:54:48)
Filter "ScoreNormalizationFilter" started, 3174 Results (2015-04-11 08:54:48)
Filter "ScoreNormalizationFilter" finished, 3174 Results (2015-04-11 08:54:48)
Filter "ScoreCombinationFilter" started, 3174 Results (2015-04-11 08:54:48)
Filter "ScoreCombinationFilter" finished, 3096 Results (2015-04-11 08:54:48)
Filter "FactoidSubsetFilter" started, 3096 Results (2015-04-11 08:54:48)
Filter "FactoidSubsetFilter" finished, 3077 Results (2015-04-11 08:54:48)
Filter "DuplicateFilter" started, 3077 Results (2015-04-11 08:54:48)
Filter "DuplicateFilter" finished, 876 Results (2015-04-11 08:54:57)
Filter "ScoreSorterFilter" started, 876 Results (2015-04-11 08:54:57)
Filter "ScoreSorterFilter" finished, 876 Results (2015-04-11 08:54:57)
Icelandic
***********************************************
$ cd /path/to/sirius/sirius-application/run-scripts/
$ ./start-asr-server.sh pocketsphinx &
$ ./start-qa-server.sh &./sirius-asr-qa-test.sh ../inputs/real/what.is.the.capital.of.italy.wavYour voice search (text) is:
../inputs/real/what.is.the.capital.of.italy.wav
Sending request to ASR server...
transcript []: what is the capital affiliate
Sending request to QA server...
Query str: query=what%20is%20the%20capital%20affiliate
+++++ Analyzing question (2015-04-11 09:02:06) +++++
Normalization: what be the capital affiliate
Answer types:
NElocation
Interpretations:
Property: NAME
Target: capital affiliate
Property: DEFINITION
Target: capital affiliate
Predicates:
-
+++++ Generating queries (2015-04-11 09:02:06) +++++
Query strings:
capital affiliate
"the capital" affiliate
"capital affiliate" capital affiliate
"capital affiliate" capital affiliate
"the capital affiliate is"
"is the capital affiliate"
+++++ Searching (2015-04-11 09:02:06) +++++
+++++ Selecting Answers (2015-04-11 09:02:11) +++++
Filter "AnswerTypeFilter" started, 37 Results (2015-04-11 09:02:11)
Filter "AnswerTypeFilter" finished, 505 Results (2015-04-11 09:02:15)
Filter "AnswerPatternFilter" started, 505 Results (2015-04-11 09:02:15)
Filter "AnswerPatternFilter" finished, 886 Results (2015-04-11 09:02:16)
Filter "PredicateExtractionFilter" started, 886 Results (2015-04-11 09:02:16)
Filter "PredicateExtractionFilter" finished, 886 Results (2015-04-11 09:02:16)
Filter "FactoidsFromPredicatesFilter" started, 886 Results (2015-04-11 09:02:16)
Filter "FactoidsFromPredicatesFilter" finished, 886 Results (2015-04-11 09:02:16)
Filter "TruncationFilter" started, 886 Results (2015-04-11 09:02:16)
Filter "TruncationFilter" finished, 787 Results (2015-04-11 09:02:16)
Filter "StopwordFilter" started, 787 Results (2015-04-11 09:02:16)
Filter "StopwordFilter" finished, 757 Results (2015-04-11 09:02:16)
Filter "QuestionKeywordsFilter" started, 757 Results (2015-04-11 09:02:16)
Filter "QuestionKeywordsFilter" finished, 724 Results (2015-04-11 09:02:16)
Filter "ScoreNormalizationFilter" started, 724 Results (2015-04-11 09:02:16)
Filter "ScoreNormalizationFilter" finished, 724 Results (2015-04-11 09:02:16)
Filter "ScoreCombinationFilter" started, 724 Results (2015-04-11 09:02:16)
Filter "ScoreCombinationFilter" finished, 722 Results (2015-04-11 09:02:16)
Filter "FactoidSubsetFilter" started, 722 Results (2015-04-11 09:02:16)
Filter "FactoidSubsetFilter" finished, 722 Results (2015-04-11 09:02:16)
Filter "DuplicateFilter" started, 722 Results (2015-04-11 09:02:16)
Filter "DuplicateFilter" finished, 435 Results (2015-04-11 09:02:17)
Filter "ScoreSorterFilter" started, 435 Results (2015-04-11 09:02:17)
Filter "ScoreSorterFilter" finished, 435 Results (2015-04-11 09:02:17)
New York City
***********************************************
# N x M.
# ダメな例
ng_list = [[0]*M]*N
# 良い例
ok_list = [[0 for j in range(M)] for i in range(N)]
# N x M.
my_list = [[0] * M for i in range(N)]
$ ./syncbuild_remote_jenkins.py --host remote-jenkins-server --job RemoteJobName --interval 300
とのこと。Warning
The sklearn.hmm module has now been deprecated due to it no longer matching the scope and the API of the project. It is scheduled for removal in the 0.17 release of the project.
This module has been moved to a seperate repository: https://github.com/hmmlearn/hmmlearn
E.E
======================================================================
ERROR: Failure: ImportError (cannot import name _hmmc)$ cp -r hmmlearn/utils/ ${PYTHON_ROOT}/site-packages/hmmlearn/utils/
３Ｄ版！「K-Means法」ビジュアライズしてみた
http://tech.nitoyon.com/ja/blog/2009/04/13/kmeans-visualize-3d/
var color = {r: 255, g: 255, b: 255};
color.r = Math.round(Math.random() * 255);
color.g = Math.round(Math.random() * 255);
color.b = Math.round(Math.random() * 255);
// splitSize: 分割数
// index: 分割されたうちの何番目か
// return: RGBのオブジェクト。0から1までの値をとる。
function pickRGBColorOnCircle(splitSize, index) {
var interval = 360.0 / splitSize;
var hue = (index * interval);
var sat = 1.0;
var val = 1.0;
// this code written in reference to the following site and Wikipedia.
// http://www.technotype.net/tutorial/tutorial.php?fileId=%7BImage%20processing%7D§ionId=%7B-converting-between-rgb-and-hsv-color-space%7D
var hi = Math.floor(hue / 60.0) % 6;
var f = (hue / 60.0) - hi;
var p = val * (1.0 - sat);
var q = val * (1.0 - sat * f);
var t = val * (1.0 - sat * (1.0 - f));
switch(hi) {
case 0:
return {
r: val,
g: t,
b: p
};
case 1:
return {
r: q,
g: val,
b: p
};
case 2:
return {
r: p,
g: val,
b: t
};
case 3:
return {
r: p,
g: q,
b: val
};
case 4:
return {
r: t,
g: p,
b: val
};
case 5:
return {
r: val,
g: p,
b: q
};
default:
throw new Error('unexpected error: args = ' + splitSize + ', ' + index);
}
}
-pluginCustomization
plugin_customization.ini# line number ruler (default: false)
org.eclipse.ui.editors/lineNumberRuler=true
-Dfile.encoding=UTF-8
sys = require 'sys'
sys.puts 'Heloi, word.'
path.existsSync is deprecated. It is now called `fs.existsSync`.
sys.js:1
throw new Error(
^
Error: The "sys" module is now called "util".
at sys.js:1:69
at NativeModule.compile (node.js:585:5)
at Function.require (node.js:553:18)
at Function._load (module.js:297:25)
at Module.require (module.js:362:17)
at require (module.js:378:17)
at Object. (/Users/kyama/xxx/xxx/.../xxx/Cakefile:4:9)
at Object. (/Users/kyama/xxx/xxx/.../xxx/Cakefile:8:4)
at Module._compile (module.js:449:26)
at Object.run (/Users/kyama/.node/v0.7.9/lib/node_modules/coffee-script/lib/coffee-script/coffee-script.js:79:25)
util = require 'util'
util.puts 'Heloi, word.'
path.existsSync is deprecated. It is now called `fs.existsSync`.
Heloi, word.
Cakefile defines the following tasks:
// _pFrameはcvQueryFrame()で取得したIplImage
// frameはcvCreateImage()で作成したIplImage↓
// IplImage *frame = cvCreateImage( cvSize( _pFrame->width, _pFrame->height ), IPL_DEPTH_8U, 3);
for (int y = 0; y < frame->height; y++) {
for (int x = 0; x < frame->width; x++) {
frame->imageData[frame->widthStep * y + x * 3] =
_pFrame->imageData[_pFrame->widthStep * y + x * 3];
frame->imageData[frame->widthStep * y + x * 3 + 1] =
_pFrame->imageData[_pFrame->widthStep * y + x * 3 + 1];
frame->imageData[frame->widthStep * y + x * 3 + 2] =
_pFrame->imageData[_pFrame->widthStep * y + x * 3 + 2];
}
}
cvCopy(_pFrame, frame);
[
{
"name":"google",
"url":"www.google.com"
},
{
"name":"yahoo",
"url":"www.yahoo.com"
}
]
SBJsonParser *parser = [[SBJsonParser alloc] init];
NSError *error = nil;
// jsonStrにJSON文字列が入ってます
NSArray *resultList = [parser objectWithString:jsonStr error:&error];
if ( error ) {
NSLog(@"parse error: %@", jsonStr);
} else {
NSLog(@"%@", resultList);
}
(
{
name = google;
url = "www.google.com";
},
{
name = yahoo;
url = "www.yahoo.com";
}
)
SBJsonWriter *writer = [[SBJsonWriter alloc] init];
NSMutableDictionary *dstDict = [NSMutableDictionary dictionaryWithCapacity:100];
[dstDict setObject:[NSNumber numberWithDouble:123.27] forKey:@"latitude"];
[dstDict setObject:[NSNumber numberWithDouble:74.027] forKey:@"longitude"];
[dstDict setObject:[NSNumber numberWithDouble:0.0001] forKey:@"accuracy"];
error = nil;
jsonStr = [writer stringWithObject:dstDict error:&error];
if ( error ) {
NSLog(@"parse error: %@", dstDict);
} else {
NSLog(@"%@", jsonStr);
}
{"longitude":74.027000000000001,"latitude":123.27,"accuracy":0.0001}
If you have a custom class that you want to create a JSON representation for you can implement this method in your class. It should return a representation of your object defined in terms of objects that can be translated into JSON. For example, a Person object might implement it like this:@code- (id)proxyForJson {
ということで、proxyForJsonメソッドを実装すれば良いそうです。return [NSDictionary dictionaryWithObjectsAndKeys:name, @"name",phone, @"phone",email, @"email",nil];}@endcode
@interface MyClassSample : NSObject
@property (nonatomic, strong) NSString *name;
@property (nonatomic) uint age;
- (id)proxyForJson; // SBJsonを使用して任意のオブジェクトをjsonにする場合，このメソッドを実装する必要がある
@end
#import "MyClassSample.h"
@implementation MyClassSample
@synthesize name;
@synthesize age;
- (id) proxyForJson {
return [NSDictionary dictionaryWithObjectsAndKeys:
name, @"name",
[NSNumber numberWithUnsignedInt:age], @"age",
nil];
}
@end
MyClassSample *obj1 = [[MyClassSample alloc] init];
obj1.name = @"name1";
obj1.age = 21;
error = nil;
jsonStr = [writer stringWithObject:obj1 error:&error];
if ( error ) {
NSLog(@"parse error: %@", obj1);
} else {
NSLog(@"%@", jsonStr);
}
{"age":21,"name":"name1"}
MyClassSample *obj1 = [[MyClassSample alloc] init];
MyClassSample *obj2 = [[MyClassSample alloc] init];
obj1.name = @"name1";
obj1.age = 21;
obj2.name = @"name2";
obj2.age = 42;
NSDictionary *userMap = [NSDictionary dictionaryWithObjectsAndKeys:
obj1, @"user1",
obj2, @"user2",
nil];
error = nil;
jsonStr = [writer stringWithObject:userMap error:&error];
if ( error ) {
NSLog(@"parse error: %@", userMap);
} else {
NSLog(@"%@", jsonStr);
}
{"user2":{"age":42,"name":"name2"},"user1":{"age":21,"name":"name1"}}
%E2%94%81%E2%94%81%E2%94%81%E2%94%81!!.png)
Macではランタイムライブラリの検索順序について、「man 1 dyld」 で確認することができます。
曰く、以下の順序で検索されます。
1. DYLD_LIBRARY_PATH
If it still can’t find the library, it then searches DYLD_FALLBACK_FRAMEWORK_PATH and DYLD_FALLBACK_LIBRARY_PATH in turn.
2. DYLD_FALLBACK_FRAMEWORK_PATH
By default, it is set to /Library/Frameworks:/Network/Library/Frameworks:/System/Library/Frameworks
3. DYLD_FALLBACK_LIBRARY_PATH
By default, it is set to $(HOME)/lib:/usr/local/lib:/lib:/usr/lib.
Apple distributes libpng with OS X, you can find it in /usr/X11/lib. However not all build scripts look here, so you may need to call ENV.x11 in your formula's install function.…おや？
gcc -framework GLUT -framework OpenGL -L/usr/X11/lib -o dist/Debug/GNU-MacOSX/glmetaseq_test build/Debug/GNU-MacOSX/_ext/2091976640/GLMetaseq.o build/Debug/GNU-MacOSX/_ext/2091976640/main.o -ljpeg -lpng
gcc -framework GLUT -framework OpenGL -L/usr/X11/lib -o dist/Debug/GNU-MacOSX/glmetaseq_test build/Debug/GNU-MacOSX/_ext/2091976640/GLMetaseq.o build/Debug/GNU-MacOSX/_ext/2091976640/main.o -L/usr/X11/lib -ljpeg -lpng
printf("making a lookup table for skin color distribution ");
_SkinColor.MakeLookUpTable();
printf("done\n");
void MixGaussian::MakeLookUpTable()
{
CvMat * SampleMat = cvCreateMat( 3, 1, CV_64FC1 );
for ( int R = 0 ; R < 256 ; R ++ )
{
printf(".");
for ( int G = 0 ; G < 256 ; G ++ )
{
for ( int B = 0 ; B < 256 ; B ++ )
{
cvSetReal1D( SampleMat, 0, (double)R );
cvSetReal1D( SampleMat, 1, (double)G );
cvSetReal1D( SampleMat, 2, (double)B );
_Probability[R][G][B] = GetProbability( SampleMat );
}
}
}
cvReleaseMat( &SampleMat );
}
- [-filp]: flip video images vertically. (Default=don’t flip)
if ( nPoints < NUM_FINGERTIP )
{
_fDetected = false;
_nFingertips = 0;
_nPoints = 0;
goto Finished;
}
Finished:
//
// Update Mode
//
if ( _fDetected )
{
_nMode = MODE_FINGERTIP_TRACKING;
}
else
{
_nMode = MODE_FINGERTIP_LOST_TRACKING;
}
return _fDetected;
if ( nPoints < NUM_FINGERTIP )
{
_fDetected = false;
_nFingertips = 0;
_nPoints = 0;
updateMode();
return _fDetected;
}
//
// Update Mode
//
updateMode();
return _fDetected;
void FingertipTracker::updateMode() {
if ( _fDetected )
{
_nMode = MODE_FINGERTIP_TRACKING;
}
else
{
_nMode = MODE_FINGERTIP_LOST_TRACKING;
}
}
Finished:
return fResult;
Capture/
- In this directory, Capture.h and cpp files are used to capture video from a camera using OpenCV functions (and PointGrey’s SDK). In order to use PointGrey’s SDK, you need to include FlyCap.h and cpp files in the same directory into your VC++ project.
Capture/
- このディレクトリには、OpenCV（とPointGrey's SDK）を利用し、カメラからビデオキャプチャを行うために必要なCapture.h と cppファイルがあります。PointGrey's SDKを使うには、同じディレクトリのFlyCap.h と cppファイルをVC++プロジェクトに追加する必要があります。