Searched refs:lena (Results 1 – 18 of 18) sorted by relevance
| /external/opencv3/modules/viz/test/ |
| D | tests_simple.cpp | 182 Mat lena = imread(Path::combine(cvtest::TS::ptr()->get_data_path(), "lena.png")); in TEST() local
206 mesh.texture = lena; in TEST()
316 Mat lena = imread(Path::combine(cvtest::TS::ptr()->get_data_path(), "lena.png")); in TEST() local
317 Mat gray = make_gray(lena); in TEST()
330 viz.showWidget("pos2", WCameraPosition(Vec2d(0.78, 0.78), lena, 2.2, Color::green()), poses[0]); in TEST()
339 Mat lena = imread(Path::combine(cvtest::TS::ptr()->get_data_path(), "lena.png")); in TEST() local
340 Mat gray = make_gray(lena); in TEST()
342 Size2d half_lsize = Size2d(lena.size()) * 0.5; in TEST()
350 viz.showWidget("img1", WImageOverlay(lena, Rect(Point(10, 10), half_lsize))); in TEST()
351 …viz.showWidget("img2", WImageOverlay(gray, Rect(Point(vsz.width-10-lena.cols/2, 10), half_lsize))); in TEST()
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| /external/opencv3/samples/java/clojure/simple-sample/src/simple_sample/ |
| D | core.clj | 11 (let [lena (Imgcodecs/imread "resources/images/lena.png")
14 (Imgproc/GaussianBlur lena blurred (Size. 5 5) 3 3)
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| /external/opencv3/modules/python/test/ |
| D | tickets.py | 61 lena = cv.LoadImage(find_sample("lena.jpg"), 1)
67 cv.Copy(lena, dst, mask)
68 self.snapL([lena, dst, mask])
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| D | camera_calibration.py | 147 return numpy.where(safe, numpy.take(lena, a), 0.0)
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| /external/opencv3/doc/tutorials/introduction/clojure_dev_intro/ |
| D | clojure_dev_intro.markdown | 511 
514 cp ~/opt/opencv/doc/tutorials/introduction/desktop_java/images/lena.png resource/images/
536 Now read the image from the resources/images/lena.png file.
538 user=> (def lena (Highgui/imread "resources/images/lena.png"))
539 #'user/lena
540 user=> lena
543 As you see, by simply evaluating the lena symbol we know that lena.png is a 512x512 matrix of
550 Now apply a GaussianBlur filter using lena as the source matrix and blurred as the destination
553 user=> (Imgproc/GaussianBlur lena blurred (Size. 5 5) 3 3)
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| /external/opencv3/modules/java/android_test/src/org/opencv/test/ |
| D | OpenCVTestRunner.java | 100 LENA_PATH = Utils.exportResource(context, R.drawable.lena); in onStart()
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| /external/opencv3/doc/tutorials/introduction/linux_gcc_cmake/ |
| D | linux_gcc_cmake.markdown | 73 ./DisplayImage lena.jpg
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| /external/libjpeg-turbo/testimages/ |
| D | nightshot_iso_100.txt | 7 The images historically used for compression research (lena, barbra, pepper etc...) have outlived t…
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| /external/opencv3/doc/tutorials/introduction/desktop_java/ |
| D | java_dev_intro.markdown | 246 
248 Make sure it's called `"lena.png"`. Items in the resources directory are available to the Java
278 Mat image = Imgcodecs.imread(getClass().getResource("/lena.png").getPath());
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| /external/opencv3/samples/python2/ |
| D | video.py | 133 lena = 'synth:bg=../data/lena.jpg:noise=0.1',
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| /external/opencv3/doc/tutorials/imgproc/gausian_median_blur_bilateral_filter/ |
| D | gausian_median_blur_bilateral_filter.markdown | 126 src = imread( "../images/lena.jpg", 1 );
266 - The code opens an image (in this case *lena.jpg*) and display it under the effects of the 4
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| /external/opencv3/doc/tutorials/core/basic_linear_transform/ |
| D | basic_linear_transform.markdown | 169 $ ./BasicLinearTransforms lena.jpg
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| /external/opencv3/doc/tutorials/imgproc/imgtrans/sobel_derivatives/ |
| D | sobel_derivatives.markdown | 182 -# Here is the output of applying our basic detector to *lena.jpg*:
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| /external/icu/icu4c/source/data/region/ |
| D | yo_BJ.txt | 190 SH{"Orílɛ́ède Hɛlena"}
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| D | yo.txt | 190 SH{"Orílẹ́ède Hẹlena"}
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| /external/bison/po/ |
| D | ga.po | 282 " `itemset' comhlíon na croíthacair míre lena gclabhsúr\n"
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| /external/hyphenation-patterns/nb/ |
| D | hyph-nb.pat.txt | 26565 æ4lena
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| /external/hyphenation-patterns/nn/ |
| D | hyph-nn.pat.txt | 26565 æ4lena
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