質問編集履歴
2
文章変更
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@@ -12,7 +12,7 @@
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新しく加えた箇所は、以下のとおりです。
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```
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```
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////////////////////////////////////////////////////
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@@ -118,35 +118,7 @@
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////////////////////////////////////////////////////
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capture >> frame;
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// (2)calculate the first image derivatives using an Sobel operator
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Mat tmp_img, sobel_img, laplacian_img, canny_img;
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Sobel(frame, tmp_img, CV_32F, 1, 1);
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convertScaleAbs(tmp_img, sobel_img, 1, 0);
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// (3)calculate the Laplacian of an image
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Laplacian(frame, tmp_img, CV_32F, 3);
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convertScaleAbs(tmp_img, laplacian_img, 1, 0);
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// (4)implement the Canny algorithm for edge detection
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Canny(frame, canny_img, 50, 200);
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// (5)show original gray and their edge images respectively,
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// and quit when any key pressed
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imshow("Canny", canny_img);
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上記のコードの場所
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//////////////////////////////////////////
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1
見やすさの改善
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@@ -10,9 +10,49 @@
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現在行おうとしていることが、リアルタイムで得た動画にエッジ検出を適応することです。
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新しく加えた箇所は、以下のとおりです。
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```加えた箇所
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////////////////////////////////////////////////////
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capture >> frame;
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// (2)calculate the first image derivatives using an Sobel operator
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Mat tmp_img, sobel_img, laplacian_img, canny_img;
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Sobel(frame, tmp_img, CV_32F, 1, 1);
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convertScaleAbs(tmp_img, sobel_img, 1, 0);
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// (3)calculate the Laplacian of an image
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Laplacian(frame, tmp_img, CV_32F, 3);
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convertScaleAbs(tmp_img, laplacian_img, 1, 0);
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// (4)implement the Canny algorithm for edge detection
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Canny(frame, canny_img, 50, 200);
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// (5)show original gray and their edge images respectively,
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// and quit when any key pressed
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imshow("Canny", canny_img);
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waitKey(0);
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//////////////////////////////////////////
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```
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下記が
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下記が全体のコード文です。コード文の下に、実行した際のエラーを載せておきます。
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よろしくお願いします。
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@@ -416,8 +456,6 @@
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static int max_neighbors=-1;
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//int max_neighbors=-1;
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static int min_neighbors=-1;
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if (min_neighbors == -1)
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//(現在の笑顔-笑顔の最小値)/(笑顔の最大値 - 笑顔の最小値 + 1)
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//(float)img.rows
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double rect_height = cvRound((float)img.rows* intensityZeroOne)/2;
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char rectchar[256];
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//char nowsmile[256];
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char maxsmile[256];
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char minsmile[256];
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//char imgrow[256];
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Scalar col = Scalar((float)255 * intensityZeroOne, 0, 0);
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//cout<<img.rows<<endl;
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sprintf(rectchar, "%f", rect_height);//対応しているのはdouble型
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//sprintf(nowsmile, "%f", intensityZeroOne);//対応しているのはdouble型
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sprintf(maxsmile, "%d", max_neighbors);//対応しているのはint型
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sprintf(minsmile, "%d", min_neighbors);//対応しているのはint型
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//sprintf(imgrow, "f", img.rows);
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//greenline
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{
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//positive line
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rectangle(img, cvPoint(0, 235), cvPoint(img.cols/10, 240-rect_height), CV_RGB(200,0,0), CV_FILLED);
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putText(img, "GOOD", cvPoint(535,50), face[0], 1.2, cv::Scalar(0,0,200), 2, CV_AA);
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{
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//negative line
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rectangle(img, cvPoint(0,245), cvPoint(img.cols/10,240-rect_height), CV_RGB(0,0,200), CV_FILLED);
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putText(img, "BAD", cvPoint(535,50), face[0], 1.2, cv::Scalar(0,0,200), 2, CV_AA);
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}
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//文字や数字を囲む四角
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//rectangle(img, cvPoint(400,430),cvPoint(630,395),CV_RGB(0,0,200), 3, 4);
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//putText(img, rectchar, cv::Point(400,425), face[0], 1.2, cv::Scalar(0,0,200), 2, CV_AA);
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}
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imshow( "result", img );
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