Searched refs:explained (Results 1 – 25 of 84) sorted by relevance
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/external/libcap/progs/ |
D | setcap.c | 173 int explained = 0; in main() local 188 explained = 1; in main() 197 if (!explained) { in main()
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/external/dlmalloc/ |
D | NOTICE | 2 Doug Lea and released to the public domain, as explained at
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/external/eigen/Eigen/ |
D | MetisSupport | 20 …* It can be used just as any other built-in method as explained in \link OrderingMethods_Module he…
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/external/eigen/ |
D | INSTALL | 35 explained in the message that cmake prints at the end.
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/external/eigen/unsupported/Eigen/src/SVD/ |
D | doneInBDCSVD.txt | 7 working but there are a few things that could be optimised as explained in the TODOBdsvd.
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/external/llvm/test/CodeGen/X86/ |
D | atomic_idempotent.ll | 6 ; This is explained (with the motivation for such an optimization) in
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/external/opencv3/doc/py_tutorials/py_imgproc/py_houghcircles/ |
D | py_houghcircles.markdown | 21 explained in the documentation. So we directly go to the code.
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/external/opencv3/doc/tutorials/imgproc/gausian_median_blur_bilateral_filter/ |
D | gausian_median_blur_bilateral_filter.markdown | 79 - So far, we have explained some filters which main goal is to *smooth* an input image. However, 94 - Applies 4 different kinds of filters (explained in Theory) and show the filtered images 267 filters explained.
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/external/valgrind/coregrind/m_debuginfo/ |
D | README.txt | 44 m_debuginfo/readstabs.c. The old version of this file explained more
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/external/ipsec-tools/src/racoon/samples/ |
D | racoon.conf.sample-natt | 5 # Only NAT-T related options are explained here, refer to other
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/external/llvm/docs/ |
D | SegmentedStacks.rst | 46 ret # The reason for this extra return is explained below
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/external/opencv3/doc/py_tutorials/py_feature2d/py_matcher/ |
D | py_matcher.markdown | 103 so that we can apply ratio test explained by D.Lowe in his paper. 148 passed is explained in FLANN docs. As a summary, for algorithms like SIFT, SURF etc. you can pass
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/external/gemmlowp/ |
D | README.txt | 10 Some of the general design is explained in 67 explained in this file:
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/external/chromium-trace/catapult/third_party/webapp2/docs/guide/ |
D | routing.rst | 12 which is explained in details in this section. 58 The `handler` part is a callable as explained in :ref:`guide.handlers`, and 175 translate the HTTP method to a handler method, as explained in
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/external/opencv3/doc/py_tutorials/py_feature2d/py_brief/ |
D | py_brief.markdown | 29 location pairs in an unique way (explained in paper). Then some pixel intensity comparisons are done
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/external/chromium-trace/catapult/third_party/flot/ |
D | FAQ.md | 67 container as explained in the README so you need to hold off the Flot
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/external/opencv3/doc/py_tutorials/py_imgproc/py_contours/py_contours_begin/ |
D | py_contours_begin.markdown | 14 Contours can be explained simply as a curve joining all the continuous points (along the boundary),
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/external/opencv3/doc/tutorials/imgproc/imgtrans/hough_circle/ |
D | hough_circle.markdown | 17 explained in the previous tutorial.
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/external/curl/docs/ |
D | HTTP2.md | 5 [http2 explained](http://daniel.haxx.se/http2/)
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/external/opencv3/doc/py_tutorials/py_imgproc/py_contours/py_contours_more_functions/ |
D | py_contours_more_functions.markdown | 85 It is calculated based on the hu-moment values. Different measurement methods are explained in the
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/external/opencv3/doc/py_tutorials/py_imgproc/py_morphological_ops/ |
D | py_morphological_ops.markdown | 66 we explained above. Here we use the function, **cv2.morphologyEx()**
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/external/opencv3/doc/tutorials/calib3d/real_time_pose/ |
D | real_time_pose.markdown | 15 In this tutorial is explained how to build a real time application to estimate the camera pose in 92 structure explained in the model registration program. From the scene, the ORB features and 143 Here is explained in detail the code for the real time application: 545 detections in this tutorial is explained how to implement a Linear Kalman Filter. The Kalman 770 The following videos are the results of pose estimation in real time using the explained detection
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/external/opencv3/doc/tutorials/imgproc/imgtrans/copyMakeBorder/ |
D | copyMakeBorder.markdown | 21 then automatically pads the boundary (by any of the methods explained in the sample code just
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/external/iproute2/netem/ |
D | README.distribution | 81 2. As explained in the other README file, the somewhat sleazy way I have
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/external/eigen/doc/ |
D | UnalignedArrayAssert.dox | 11 is explained here: http://eigen.tuxfamily.org/dox/UnalignedArrayAssert.html
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