| /development/perftests/panorama/feature_mos/src/mosaic/ |
| Pyramid.h | 17 // Pyramid.h
26 // Structure containing a packed pyramid of type ImageTypeShort. Used for pyramid
42 static void createPyramid(ImageType image, PyramidShort *pyramid, int last = 3 );
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| Blend.h | 25 #include "Pyramid.h"
44 // This specifies the maximum pyramid level to which cross-fading is applied.
46 // so on. BLEND_RANGE_DEFAULT specifies the number of pyramid levels used by
51 * Class for pyramid blending a mosaic.
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| Pyramid.cpp | 17 // pyramid.cpp
22 #include "Pyramid.h"
24 // We allocate the entire pyramid into one contiguous storage. This makes
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| /external/chromium-trace/catapult/third_party/WebOb/ |
| .travis.yml | 23 - pyramid-checkins@lists.repoze.org
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| /packages/apps/LegacyCamera/jni/feature_mos/src/mosaic/ |
| Pyramid.h | 17 // Pyramid.h
26 // Structure containing a packed pyramid of type ImageTypeShort. Used for pyramid
42 static void createPyramid(ImageType image, PyramidShort *pyramid, int last = 3 );
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| Blend.h | 25 #include "Pyramid.h"
44 // This specifies the maximum pyramid level to which cross-fading is applied.
46 // so on. BLEND_RANGE_DEFAULT specifies the number of pyramid levels used by
51 * Class for pyramid blending a mosaic.
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| /external/opencv3/doc/py_tutorials/py_imgproc/py_pyramids/ |
| py_pyramids.markdown | 21 pyramid).
23 There are two kinds of Image Pyramids. 1) Gaussian Pyramid and 2) Laplacian Pyramids
25 Higher level (Low resolution) in a Gaussian Pyramid is formed by removing consecutive rows and
29 an Octave. The same pattern continues as we go upper in pyramid (ie, resolution decreases).
36 Below is the 4 levels in an image pyramid.
40 Now you can go down the image pyramid with **cv2.pyrUp()** function.
45 loose the information. Below image is 3 level down the pyramid created from smallest image in
51 Laplacian pyramid images are like edge images only. Most of its elements are zeros. They are used in
52 image compression. A level in Laplacian Pyramid is formed by the difference between that level in
53 Gaussian Pyramid and expanded version of its upper level in Gaussian Pyramid. The three levels of
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| /external/opencv3/doc/tutorials/imgproc/pyramids/ |
| pyramids.markdown | 26 ### Image Pyramid
28 - An image pyramid is a collection of images - all arising from a single original image - that are
31 - **Gaussian pyramid:** Used to downsample images
32 - **Laplacian pyramid:** Used to reconstruct an upsampled image from an image lower in the
33 pyramid (with less resolution)
34 - In this tutorial we'll use the *Gaussian pyramid*.
36 #### Gaussian Pyramid
38 - Imagine the pyramid as a set of layers in which the higher the layer, the smaller the size.
44 - To produce layer \f$(i+1)\f$ in the Gaussian pyramid, we do the following:
53 entire pyramid
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| /external/opencv3/samples/python2/ |
| lappyr.py | 3 ''' An example of Laplacian Pyramid construction and merging.
63 cv2.imshow('laplacian pyramid filter', res)
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| /external/opencv3/modules/video/perf/ |
| perf_optflowpyrlk.cpp | 206 std::vector<Mat> pyramid; local
210 int maxLevel = buildOpticalFlowPyramid(img, pyramid, winSize, 1000, withDerivatives, BORDER_CONSTANT, BORDER_CONSTANT, tryReuseInputImage);
212 declare.in(img).out(pyramid);
217 buildOpticalFlowPyramid(img, pyramid, winSize, maxLevel, withDerivatives, pyrBorder, derivBorder, tryReuseInputImage);
220 SANITY_CHECK(pyramid);
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| /external/opencv3/modules/java/src/ |
| video+Video.java | 65 // C++: int buildOpticalFlowPyramid(Mat img, vector_Mat& pyramid, Size winSize, int maxLevel, bool withDerivatives = true, int pyrBorder = BORDER_REFLECT_101, int derivBorder = BORDER_CONSTANT, bool tryReuseInputImage = true)
68 //javadoc: buildOpticalFlowPyramid(img, pyramid, winSize, maxLevel, withDerivatives, pyrBorder, derivBorder, tryReuseInputImage)
69 public static int buildOpticalFlowPyramid(Mat img, List<Mat> pyramid, Size winSize, int maxLevel, boolean withDerivatives, int pyrBorder, int derivBorder, boolean tryReuseInputImage)
73 Converters.Mat_to_vector_Mat(pyramid_mat, pyramid);
78 //javadoc: buildOpticalFlowPyramid(img, pyramid, winSize, maxLevel)
79 public static int buildOpticalFlowPyramid(Mat img, List<Mat> pyramid, Size winSize, int maxLevel)
83 Converters.Mat_to_vector_Mat(pyramid_mat, pyramid);
258 // C++: int buildOpticalFlowPyramid(Mat img, vector_Mat& pyramid, Size winSize, int maxLevel, bool withDerivatives = true, int pyrBorder = BORDER_REFLECT_101, int derivBorder = BORDER_CONSTANT, bool tryReuseInputImage = true)
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| /development/perftests/panorama/ |
| Android.mk | 17 feature_mos/src/mosaic/Pyramid.cpp \
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| /packages/apps/LegacyCamera/jni/ |
| Android.mk | 24 feature_mos/src/mosaic/Pyramid.cpp \
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| /external/opencv3/modules/video/include/opencv2/video/ |
| tracking.hpp | 105 /** @brief Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
108 @param pyramid output pyramid.
110 calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.
111 @param maxLevel 0-based maximal pyramid level number.
112 @param withDerivatives set to precompute gradients for the every pyramid level. If pyramid is
114 @param pyrBorder the border mode for pyramid layers.
116 @param tryReuseInputImage put ROI of input image into the pyramid if possible. You can pass false
118 @return number of levels in constructed pyramid. Can be less than maxLevel
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| /external/opencv3/modules/cudalegacy/include/opencv2/cudalegacy/ |
| NCVBroxOpticalFlow.hpp | 75 /// pyramid scale factor
79 /// number of warping iterations (number of pyramid levels)
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| NCVPyramid.hpp | 55 namespace pyramid namespace in namespace:cv::cuda::device
105 NCVMatrixStack<T> pyramid;
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| /external/opencv/cv/src/ |
| cvpyramids.cpp | 1147 CvMat** pyramid; local
1172 CvMat** pyramid = 0; local
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| /external/opencv3/modules/cudaoptflow/src/ |
| brox.cpp | 82 //! number of warping iterations (number of pyramid levels)
97 //! pyramid scale factor
103 //! number of warping iterations (number of pyramid levels)
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| /external/opencv3/modules/cudalegacy/src/cuda/ |
| NCVPyramid.cu | 210 namespace pyramid
293 namespace pyramid
397 this->pyramid.push_back(new NCVMatrixAlloc<T>(alloc, szCurLayer.width, szCurLayer.height));
398 ncvAssertPrintReturn(((NCVMatrixAlloc<T> *)(this->pyramid[i]))->isMemAllocated(), "NCVImagePyramid::ctor error", );
404 const NCVMatrix<T> *prevLayer = i == 0 ? this->layer0 : this->pyramid[i-1];
405 NCVMatrix<T> *curLayer = this->pyramid[i];
504 curLayer = this->pyramid[i];
508 ncvAssertReturnNcvStat(this->pyramid[i]->copy2D(outImg, NcvSize32u(this->pyramid[i]->width(), this->pyramid[i]->height()), cuStream))
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| /frameworks/base/docs/html/training/basics/activity-lifecycle/ |
| starting.jd | 51 a sequence similar to a step pyramid. That is, each stage of the
52 activity lifecycle is a separate step on the pyramid. As the system creates a new activity instance,
53 each callback method moves the activity state one step toward the top. The top of the pyramid is the
57 state back down the pyramid in order to dismantle the activity. In some cases, the activity will
58 move only part way down the pyramid and wait (such as when the user switches to another app), from
65 lifecycle, expressed as a step pyramid. This shows how, for every callback used to take
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| /external/chromium-trace/catapult/third_party/WebOb/docs/pycon2011/ |
| pycon-py3k-sprint.txt | 4 We provided WebOb with 100% statement coverage at the 2011 PyCon Pyramid
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| /external/opencv3/modules/core/misc/java/src/java/ |
| core+KeyPoint.java | 26 * Octave (pyramid layer), from which the keypoint has been extracted.
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| /external/libgdx/tests/gdx-tests/src/com/badlogic/gdx/tests/ |
| Box2DTestCollection.java | 40 import com.badlogic.gdx.tests.box2d.Pyramid;
50 new BodyTypes(), new SimpleTest(), new Pyramid(), new OneSidedPlatform(), new VerticalStack(), new VaryingRestitution(),
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| /external/opencv3/modules/cudalegacy/src/ |
| image_pyramid.cpp | 97 cv::cuda::device::pyramid::downsampleX2(prevLayer, pyramid_[i], img.depth(), img.channels(), StreamAccessor::getStream(stream));
138 cv::cuda::device::pyramid::interpolateFrom1(lastLayer, outImg, outImg.depth(), outImg.channels(), StreamAccessor::getStream(stream));
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| /external/opencv3/modules/superres/include/opencv2/superres/ |
| optical_flow.hpp | 156 //! @brief Pyramid scale factor
166 //! @brief Number of warping iterations (number of pyramid levels)
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