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  /external/opencv3/modules/features2d/perf/
perf_batchDistance.cpp 24 testing::Values(CV_32S, CV_32F),
79 testing::Combine(testing::Values(CV_8U, CV_32F),
98 batchDistance(queryDescriptors, trainDescriptors, dist, CV_32F, (isCrossCheck) ? ndix : noArray(),
121 generateData(queryDescriptors, trainDescriptors, CV_32F);
126 batchDistance(queryDescriptors, trainDescriptors, dist, CV_32F, (isCrossCheck) ? ndix : noArray(),
  /external/opencv3/modules/imgproc/test/ocl/
test_accumulate.cpp 225 testing::Values(std::make_pair<MatDepth, MatDepth>(CV_8U, CV_32F), \
226 std::make_pair<MatDepth, MatDepth>(CV_16U, CV_32F), \
227 std::make_pair<MatDepth, MatDepth>(CV_32F, CV_32F), \
230 std::make_pair<MatDepth, MatDepth>(CV_32F, CV_64F), \
test_boxfilter.cpp 135 Values(CV_8U, CV_16U, CV_16S, CV_32S, CV_32F),
148 Values(CV_8U, CV_16U, CV_16S, CV_32F, CV_64F),
test_filter2d.cpp 78 Mat temp = randomMat(ksize, CV_MAKE_TYPE(((CV_64F == CV_MAT_DEPTH(type)) ? CV_64F : CV_32F), 1), -MAX_VALUE, MAX_VALUE);
126 Values(CV_8U, CV_16U, CV_32F),
  /external/opencv3/modules/core/include/opencv2/core/
traits.hpp 234 depth = CV_32F,
310 template<> class TypeDepth<CV_32F>
312 enum { depth = CV_32F };
ippasync.hpp 76 depth == CV_32F ? HPP_DATA_TYPE_32F :
89 hppType == HPP_DATA_TYPE_32F ? CV_32F :
98 input matrix. Supports CV_8U, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F.
135 Supports CV_8U, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F.
156 Supports CV_8U, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F.
  /external/opencv3/modules/imgproc/src/
blend.cpp 103 cn, ocl::convertTypeStr(CV_32F, depth, 1, cvt)));
127 CV_Assert(depth == CV_8U || depth == CV_32F);
144 else if (depth == CV_32F)
  /external/opencv3/modules/photo/src/
seamless_cloning_impl.cpp 56 filter2D(img, gx, CV_32F, kernel);
63 filter2D(img, tmp[chan], CV_32F, kernel);
77 filter2D(img, gy, CV_32F, kernel);
84 filter2D(img, tmp[chan], CV_32F, kernel);
95 filter2D(img, laplacianX, CV_32F, kernel);
103 filter2D(img, laplacianY, CV_32F, kernel);
108 Mat temp = Mat::zeros(src.rows, 2 * src.cols + 2, CV_32F);
124 Mat planes[] = {temp, Mat::zeros(temp.size(), CV_32F)};
130 temp = Mat::zeros(src.cols, 2 * src.rows + 2, CV_32F);
143 Mat planes2[] = {temp, Mat::zeros(temp.size(), CV_32F)};
    [all...]
  /external/opencv3/modules/core/misc/java/test/
MatTest.java 48 gray255.assignTo(dst, CvType.CV_32F);
127 gray255.convertTo(dst, CvType.CV_32F);
129 truth = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(255));
171 gray255.create(4, 5, CvType.CV_32F);
175 assertEquals(CvType.CV_32F, gray255.type());
188 Mat answer = new Mat(1, 3, CvType.CV_32F);
202 assertEquals(CvType.CV_32F, gray0_32f.depth());
220 Mat diagVector = new Mat(matSize, 1, CvType.CV_32F, new Scalar(1));
384 Mat m = getTestMat(5, CvType.CV_32F);
465 Mat src = new Mat(2, 2, CvType.CV_32F) {
    [all...]
  /external/opencv3/samples/gpu/performance/
tests.cpp 35 gen(src, 3000, 3000, CV_32F, 0, 1);
45 gen(templ, templ_size, templ_size, CV_32F, 0, 1);
74 gen(src, size, size, CV_32F, 0, 1);
103 xmap.create(size, size, CV_32F);
104 ymap.create(size, size, CV_32F);
172 gen(src, size, size, CV_32F, 0, 1);
375 gen(query, 3000, desc_len, CV_32F, 0, 1);
378 gen(train, 3000, desc_len, CV_32F, 0, 1);
446 gen(x, size, size, CV_32F, 0, 1);
447 gen(y, size, size, CV_32F, 0, 1)
    [all...]
  /external/opencv3/modules/cudaimgproc/src/
color.cpp 91 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
107 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
123 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
139 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
155 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
171 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
395 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
411 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
479 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
495 CV_Assert( src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F );
    [all...]
  /external/opencv3/modules/core/perf/
perf_math.cpp 44 Mat data0(N0, dims, CV_32F);
47 Mat data(N, dims, CV_32F);
  /external/opencv3/modules/cudaimgproc/perf/
perf_corners.cpp 70 img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);
114 img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);
perf_match_template.cpp 111 cv::Mat image(size, CV_MAKE_TYPE(CV_32F, cn));
112 cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn));
  /external/opencv3/modules/cudaimgproc/test/
test_blend.cpp 103 cv::Mat weights1 = randomMat(size, CV_32F, 0, 1);
104 cv::Mat weights2 = randomMat(size, CV_32F, 0, 1);
  /external/opencv3/modules/cudastereo/include/opencv2/
cudastereo.hpp 188 createStereoBeliefPropagation(int ndisp = 64, int iters = 5, int levels = 5, int msg_type = CV_32F);
241 createStereoConstantSpaceBP(int ndisp = 128, int iters = 8, int levels = 4, int nr_plane = 4, int msg_type = CV_32F);
  /external/opencv3/modules/cudastereo/src/
stereobp.cpp 176 scale_ = msg_type_ == CV_32F ? 1.0f : 10.0f;
179 CV_Assert( msg_type_ == CV_32F || msg_type_ == CV_16S );
180 CV_Assert( msg_type_ == CV_32F || (1 << (levels_ - 1)) * scale_ * max_data_term_ < std::numeric_limits<short>::max() );
201 comp_data_callers[msg_type_ == CV_32F][left.channels()](left, right, datas_[0], StreamAccessor::getStream(stream));
208 scale_ = msg_type_ == CV_32F ? 1.0f : 10.0f;
211 CV_Assert( msg_type_ == CV_32F || msg_type_ == CV_16S );
212 CV_Assert( msg_type_ == CV_32F || (1 << (levels_ - 1)) * scale_ * max_data_term_ < std::numeric_limits<short>::max() );
310 const int funcIdx = msg_type_ == CV_32F;
util.cpp 79 CV_Assert( Q.type() == CV_32F && Q.rows == 4 && Q.cols == 4 && Q.isContinuous() );
82 _xyz.create(disp.size(), CV_MAKE_TYPE(CV_32F, dst_cn));
  /external/opencv3/modules/cudawarping/perf/
perf_warping.cpp 96 Values(CV_8U, CV_16U, CV_32F),
148 Values(CV_8U, CV_16U, CV_32F),
192 Values(CV_8U, CV_16U, CV_32F),
235 Values(CV_8U, CV_16U, CV_32F),
285 Values(CV_8U, CV_16U, CV_32F),
335 Values(CV_8U, CV_16U, CV_32F),
369 Values(CV_8U, CV_16U, CV_32F),
405 Values(CV_8U, CV_16U, CV_32F),
  /external/opencv3/modules/cudawarping/src/
pyramids.cpp 83 CV_Assert( src.depth() <= CV_32F && src.channels() <= 4 );
123 CV_Assert( src.depth() <= CV_32F && src.channels() <= 4 );
  /external/opencv3/modules/cudawarping/test/
test_pyramids.cpp 80 EXPECT_MAT_NEAR(dst_gold, dst, src.depth() == CV_32F ? 1e-4 : 1.0);
120 EXPECT_MAT_NEAR(dst_gold, dst, src.depth() == CV_32F ? 1e-4 : 1.0);
  /external/opencv3/modules/features2d/src/
kaze.cpp 99 return CV_32F;
118 img.convertTo(img1_32, CV_32F, 1.0 / 255.0, 0);
  /external/opencv3/modules/imgproc/perf/opencl/
perf_matchTemplate.cpp 30 UMat result(imgSz - tmplSz + Size(1, 1), CV_32F);
60 UMat dst(dstSize, CV_32F);
  /external/opencv3/modules/imgproc/perf/
perf_distanceTransform.cpp 35 CV_ENUM(DstType, CV_8U, CV_32F)
88 Mat dst(srcSize, CV_32F);
perf_matchTemplate.cpp 31 Mat result(imgSz - tmplSz + Size(1,1), CV_32F);
65 Mat result(imgSz - tmplSz + Size(1,1), CV_32F);

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