| /external/opencv3/samples/cpp/ |
| pca.cpp | 2 * pca.cpp
10 * This program demonstrates how to use OpenCV PCA with a
16 * begin the full path to an image. PCA will be performed
95 PCA pca; member in struct:params
102 cout << "re-calculating PCA..." << std::flush;
108 p->pca = PCA(p->data, cv::Mat(), PCA::DATA_AS_ROW, var);
110 Mat point = p->pca.project(p->data.row(0))
[all...] |
| /external/opencv3/modules/core/src/ |
| pca.cpp | 47 * PCA *
53 PCA::PCA() {}
55 PCA::PCA(InputArray data, InputArray _mean, int flags, int maxComponents)
60 PCA::PCA(InputArray data, InputArray _mean, int flags, double retainedVariance)
65 PCA& PCA::operator()(InputArray _data, InputArray __mean, int flags, int maxComponents)
92 // "scrambled" way to compute PCA (when cols(A)>rows(A))
355 PCA pca; local
364 PCA pca; local
373 PCA pca; local
382 PCA pca; local
[all...] |
| matmul.cpp | 3392 cv::PCA pca; local
3439 cv::PCA pca; local
3470 cv::PCA pca; local
[all...] |
| /external/clang/test/SemaCXX/ |
| warn-reinterpret-base-class.cpp | 91 void reinterpret_not_updowncast(A *pa, const A *pca, A &a, const A &ca) {
97 (void)*reinterpret_cast<const C *>(pca);
98 (void)*reinterpret_cast<const volatile C *>(pca);
|
| /prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/x86_64-w64-mingw32/include/ |
| winddi.h | [all...] |
| ntgdi.h | 250 W32KAPI WINBOOL WINAPI NtGdiSetColorAdjustment(HDC hdc,PCOLORADJUSTMENT pca);
374 W32KAPI WINBOOL WINAPI NtGdiEngStretchBlt(SURFOBJ *psoDest,SURFOBJ *psoSrc,SURFOBJ *psoMask,CLIPOBJ *pco,XLATEOBJ *pxlo,COLORADJUSTMENT *pca,POINTL *pptlHTOrg,RECTL *prclDest,RECTL *prclSrc,POINTL *pptlMask,ULONG iMode);
376 W32KAPI WINBOOL WINAPI NtGdiEngPlgBlt(SURFOBJ *psoTrg,SURFOBJ *psoSrc,SURFOBJ *psoMsk,CLIPOBJ *pco,XLATEOBJ *pxlo,COLORADJUSTMENT *pca,POINTL *pptlBrushOrg,POINTFIX *pptfxDest,RECTL *prclSrc,POINTL *pptlMask,ULONG iMode);
[all...] |
| /external/opencv3/ |
| Android.mk | 49 modules/core/src/pca.cpp \
[all...] |
| /external/caliper/lib/ |
| jersey-core-1.11.jar | |
