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samples: avoid using of legacy C-like API
- CV_RGB() macro is moved into opencv2/imgproc.hpp from imgproc_c.h - samples/cpp/filestorage_base64.cpp is dropped
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@@ -97,7 +97,7 @@ void MatchingMethod( int, void* )
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//! [match_template]
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/// Do the Matching and Normalize
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bool method_accepts_mask = (CV_TM_SQDIFF == match_method || match_method == CV_TM_CCORR_NORMED);
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bool method_accepts_mask = (TM_SQDIFF == match_method || match_method == TM_CCORR_NORMED);
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if (use_mask && method_accepts_mask)
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{ matchTemplate( img, templ, result, match_method, mask); }
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else
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@@ -36,7 +36,7 @@ int main(int argc, char** argv)
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if (src.channels() == 3)
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{
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cvtColor(src, gray, CV_BGR2GRAY);
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cvtColor(src, gray, COLOR_BGR2GRAY);
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}
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else
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{
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@@ -50,7 +50,7 @@ int main(int argc, char** argv)
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//! [bin]
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// Apply adaptiveThreshold at the bitwise_not of gray, notice the ~ symbol
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Mat bw;
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adaptiveThreshold(~gray, bw, 255, CV_ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, -2);
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adaptiveThreshold(~gray, bw, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, -2);
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// Show binary image
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show_wait_destroy("binary", bw);
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@@ -106,7 +106,7 @@ int main(int argc, char** argv)
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// Step 1
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Mat edges;
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adaptiveThreshold(vertical, edges, 255, CV_ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 3, -2);
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adaptiveThreshold(vertical, edges, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 3, -2);
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show_wait_destroy("edges", edges);
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// Step 2
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@@ -56,7 +56,7 @@ int main(int argc, char** argv)
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pt1.y = cvRound(y0 + 1000*(a));
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pt2.x = cvRound(x0 - 1000*(-b));
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pt2.y = cvRound(y0 - 1000*(a));
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line( cdst, pt1, pt2, Scalar(0,0,255), 3, CV_AA);
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line( cdst, pt1, pt2, Scalar(0,0,255), 3, LINE_AA);
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}
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//![draw_lines]
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