| /external/opencv3/modules/cudaobjdetect/test/ |
| D | test_objdetect.cpp | 51 struct HOG : testing::TestWithParam<cv::cuda::DeviceInfo> struct
54 cv::Ptr<cv::cuda::HOG> hog; argument
74 hog = cv::cuda::HOG::create(); in SetUp() argument
155 CUDA_TEST_P(HOG, DISABLED_Detect) in CUDA_TEST_P() argument
173 CUDA_TEST_P(HOG, GetDescriptors) in CUDA_TEST_P() argument
190 hog->setDescriptorFormat(cv::cuda::HOG::DESCR_FORMAT_ROW_BY_ROW); in CUDA_TEST_P()
193 hog->setDescriptorFormat(cv::cuda::HOG::DESCR_FORMAT_COL_BY_COL); in CUDA_TEST_P()
221 INSTANTIATE_TEST_CASE_P(CUDA_ObjDetect, HOG, ALL_DEVICES);
240 CUDA_TEST_P(CalTech, HOG) in CUDA_TEST_P() argument
245 cv::Ptr<cv::cuda::HOG> d_hog = cv::cuda::HOG::create(); in CUDA_TEST_P()
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| /external/opencv3/modules/objdetect/test/opencl/ |
| D | test_hogdetector.cpp | 62 PARAM_TEST_CASE(HOG, Size, MatType) in PARAM_TEST_CASE() argument
78 OCL_TEST_P(HOG, GetDescriptors) in OCL_TEST_P() argument
96 OCL_TEST_P(HOG, Detect) in OCL_TEST_P() argument
116 INSTANTIATE_TEST_CASE_P(OCL_ObjDetect, HOG, testing::Combine(
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| /external/opencv3/modules/cudaobjdetect/perf/ |
| D | perf_objdetect.cpp | 74 cv::Ptr<cv::cuda::HOG> d_hog = cv::cuda::HOG::create();
85 cv::Ptr<cv::cuda::HOG> d_hog = cv::cuda::HOG::create();
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| /external/opencv3/modules/cudaobjdetect/include/opencv2/ |
| D | cudaobjdetect.hpp | 78 class CV_EXPORTS HOG : public Algorithm class
95 static Ptr<HOG> create(Size win_size = Size(64, 128),
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| /external/opencv3/apps/traincascade/ |
| D | features.cpp | 62 featureType == HOG ? Ptr<CvFeatureParams>(new CvHOGFeatureParams) : in create()
91 type == CvFeatureParams::HOG ? Ptr<CvFeatureEvaluator>(new CvHOGEvaluator) : in create()
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| D | traincascade_features.h | 65 enum { HAAR = 0, LBP = 1, HOG = 2 }; enumerator
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| D | cascadeclassifier.cpp | 32 featureType == CvFeatureParams::HOG ? CC_HOG : in write()
58 !featureTypeStr.compare( CC_HOG ) ? CvFeatureParams::HOG : in read()
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| /external/opencv3/modules/cudaobjdetect/src/ |
| D | hog.cpp | 50 Ptr<cuda::HOG> cv::cuda::HOG::create(Size, Size, Size, Size, int) { throw_no_cuda(); return Ptr<cud… in create()
98 class HOG_Impl : public cv::cuda::HOG
535 Ptr<cuda::HOG> cv::cuda::HOG::create(Size win_size, in create()
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| /external/opencv3/doc/py_tutorials/py_ml/py_svm/py_svm_opencv/ |
| D | py_svm_opencv.markdown | 15 Oriented Gradients](http://en.wikipedia.org/wiki/Histogram_of_oriented_gradients) (HOG) as feature
18 Here, before finding the HOG, we deskew the image using its second order moments. So we first define
35 Next we have to find the HOG Descriptor of each cell. For that, we find Sobel derivatives of each
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| /external/opencv3/modules/objdetect/perf/opencl/ |
| D | perf_hogdetect.cpp | 73 OCL_PERF_TEST(HOGFixture, HOG) in OCL_PERF_TEST() argument
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| /external/opencv3/samples/gpu/ |
| D | hog.cpp | 255 cv::Ptr<cv::cuda::HOG> gpu_hog = cv::cuda::HOG::create(win_size); in run()
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| /external/opencv3/modules/objdetect/src/ |
| D | cascadedetect.hpp | 19 HOG = 2 enumerator
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| D | cascadedetect.cpp | 960 data.featureType == FeatureEvaluator::HOG) ); in runAt()
1584 featureType = FeatureEvaluator::HOG; in read()
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| /external/opencv3/doc/tutorials/introduction/windows_install/ |
| D | windows_install.markdown | 82 drastically improve performance for some algorithms (e.g the HOG descriptor). Getting more and
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