{"title":" \u884c\u5217\u521d\u671f\u5316\u306e\u7f60","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fdosei.hatenadiary.jp%2Fentry%2F20121123%2Fp1\" title=\" \u884c\u5217\u521d\u671f\u5316\u306e\u7f60 - DOSEI\u306e\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","url":"https://dosei.hatenadiary.jp/entry/20121123/p1","categories":["\u30e1\u30e2","OpenCV"],"width":"100%","author_name":"DOSEI","blog_title":"DOSEI\u306e\u65e5\u8a18","published":"2012-11-23 00:00:00","description":"\u30d7\u30ed\u30ed\u30fc\u30b0 \u3088\u30fc\u3057\u30d1\u30d1\u3001\u8981\u7d20\u304c 0 \u3067\u521d\u671f\u5316\u3055\u308c\u305f\u884c\u5217\u3064\u304f\u3063\u3061\u3083\u3046\u305e\u30fc cv::Mat A(150, 100, CV_32S, 0); A.at<int>(20,10) = 30; \u30b3\u30f3\u30d1\u30a4\u30eb\u3082\u901a\u3063\u305f\u3057\u3001\u30d0\u30c3\u30c1\u30ea\u3060\uff01 \u30a8\u30d4\u30ed\u30fc\u30b0 \u30bb\u30b0\u30d5\u30a9\u30fc\uff01 \u5f8c\u65e5\u8ac7 cv::Mat \u306e\u30b3\u30f3\u30b9\u30c8\u30e9\u30af\u30bf\u306f\u305f\u304f\u3055\u3093\u3042\u308a\u3001\u305d\u306e\u306a\u304b\u306b\u306f\u5024\u3067\u521d\u671f\u5316\u3092\u3059\u308b\u3082\u306e\u304c\u3042\u308b\u3002 cv::Mat::Mat(int rows, int cols, int type, const Scalar& s); \u3053\u308c\u304c\u4f7f\u308f\u308c\u308b\u3068\u601d\u3063\u3066\u3057\u307e\u3063\u305f\u306e\u304c\u6557\u56e0\u3067\u3042\u308b\u3002cv::Scalar (\u306e\u57fa\u306e cv::Scalar_) \u306f\u3001 int \u304b\u3089\u306e impli\u2026","version":"1.0","image_url":null,"type":"rich","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","height":"190","author_url":"https://blog.hatena.ne.jp/DOSEI/","blog_url":"https://dosei.hatenadiary.jp/"}