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| // For Open Source Computer Vision Library | |
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| //M*/ | |
| namespace opencv_test { namespace { | |
| class CV_ImgprocUMatTest : public cvtest::BaseTest | |
| { | |
| public: | |
| CV_ImgprocUMatTest() {} | |
| ~CV_ImgprocUMatTest() {} | |
| protected: | |
| void run(int) | |
| { | |
| string imgpath = string(ts->get_data_path()) + "shared/lena.png"; | |
| Mat img = imread(imgpath, IMREAD_COLOR), gray, smallimg, result; | |
| UMat uimg = img.getUMat(ACCESS_READ), ugray, usmallimg, uresult; | |
| cvtColor(img, gray, COLOR_BGR2GRAY); | |
| resize(gray, smallimg, Size(), 0.75, 0.75, INTER_LINEAR_EXACT); | |
| equalizeHist(smallimg, result); | |
| cvtColor(uimg, ugray, COLOR_BGR2GRAY); | |
| resize(ugray, usmallimg, Size(), 0.75, 0.75, INTER_LINEAR_EXACT); | |
| equalizeHist(usmallimg, uresult); | |
| imshow("orig", uimg); | |
| imshow("small", usmallimg); | |
| imshow("equalized gray", uresult); | |
| waitKey(); | |
| destroyWindow("orig"); | |
| destroyWindow("small"); | |
| destroyWindow("equalized gray"); | |
| ts->set_failed_test_info(cvtest::TS::OK); | |
| (void)uresult.getMat(ACCESS_READ); | |
| } | |
| }; | |
| TEST(Imgproc_UMat, regression) { CV_ImgprocUMatTest test; test.safe_run(); } | |
| }} // namespace | |