Cv::Detail¶
Singleton Methods¶
auto_detect_wave_correct_kind(rmats: Std::Vector≺cv꞉꞉Mat≻) -> Cv::Detail::WaveCorrectKind
calibrate_rotating_camera(hs: Std::Vector≺cv꞉꞉Mat≻, k: Cv::Mat) -> TrueClass
check_failed_auto(v1: String, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v: Cv::Size2i, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v: Float, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v: Float, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v1: Float, v2: Float, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v1: Float, v2: Float, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v1: Integer, v2: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v1: Integer, v2: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v1: TrueClass, v2: TrueClass, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_auto(v1: Cv::Size2i, v2: Cv::Size2i, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_false(v: TrueClass, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_mat_channels(v: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_mat_channels(v1: Integer, v2: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_mat_depth(v: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_mat_depth(v1: Integer, v2: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_mat_type(v: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_mat_type(v1: Integer, v2: Integer, ctx: Cv::Detail::CheckContext) -> NilClass
check_failed_true(v: TrueClass, ctx: Cv::Detail::CheckContext) -> NilClass
compute_image_features(features_finder: Cv::Ptr≺cv꞉꞉Feature2D≻, images: Cv::InputArray, features: Std::Vector≺cv꞉꞉detail꞉꞉ImageFeatures≻, masks: Cv::InputArray) -> NilClass
compute_image_features(features_finder: Cv::Ptr≺cv꞉꞉Feature2D≻, image: Cv::InputArray, features: Cv::Detail::ImageFeatures, mask: Cv::InputArray) -> NilClass
create_laplace_pyr(img: Cv::InputArray, num_levels: Integer, pyr: Std::Vector≺cv꞉꞉UMat≻) -> NilClass
create_laplace_pyr_gpu(img: Cv::InputArray, num_levels: Integer, pyr: Std::Vector≺cv꞉꞉UMat≻) -> NilClass
create_weight_map(mask: Cv::InputArray, sharpness: Float, weight: Cv::InputOutputArray) -> NilClass
estimate_focal(features: Std::Vector≺cv꞉꞉detail꞉꞉ImageFeatures≻, pairwise_matches: Std::Vector≺cv꞉꞉detail꞉꞉MatchesInfo≻, focals: Std::Vector≺double≻) -> NilClass
find_max_spanning_tree(num_images: Integer, pairwise_matches: Std::Vector≺cv꞉꞉detail꞉꞉MatchesInfo≻, span_tree: Cv::Detail::Graph, centers: Std::Vector≺int≻) -> NilClass
focals_from_homography(h: Cv::Mat, f0: Float, f1: Float, f0_ok: TrueClass, f1_ok: TrueClass) -> NilClass
leave_biggest_component(features: Std::Vector≺cv꞉꞉detail꞉꞉ImageFeatures≻, pairwise_matches: Std::Vector≺cv꞉꞉detail꞉꞉MatchesInfo≻, conf_threshold: Float) -> Std::Vector≺int≻
matches_graph_as_string(paths: Std::Vector≺string≻, pairwise_matches: Std::Vector≺cv꞉꞉detail꞉꞉MatchesInfo≻, conf_threshold: Float) -> String
norm_l2(a: Cv::Point3f) -> Float
norm_l2(a: Cv::Point3f, b: Cv::Point3f) -> Float
norm_l2sq(r: Cv::Mat) -> Float
normalize_using_weight_map(weight: Cv::InputArray, src: Cv::InputOutputArray) -> NilClass
overlap_roi(tl1: Cv::Point2i, tl2: Cv::Point2i, sz1: Cv::Size2i, sz2: Cv::Size2i, roi: Cv::Rect2i) -> TrueClass
restore_image_from_laplace_pyr(pyr: Std::Vector≺cv꞉꞉UMat≻) -> NilClass
restore_image_from_laplace_pyr_gpu(pyr: Std::Vector≺cv꞉꞉UMat≻) -> NilClass
result_roi(corners: Std::Vector≺cv꞉꞉Point_≺int≻≻, sizes: Std::Vector≺cv꞉꞉Size_≺int≻≻) -> Cv::Rect2i
result_roi(corners: Std::Vector≺cv꞉꞉Point_≺int≻≻, images: Std::Vector≺cv꞉꞉UMat≻) -> Cv::Rect2i
result_roi_intersection(corners: Std::Vector≺cv꞉꞉Point_≺int≻≻, sizes: Std::Vector≺cv꞉꞉Size_≺int≻≻) -> Cv::Rect2i
result_tl(corners: Std::Vector≺cv꞉꞉Point_≺int≻≻) -> Cv::Point2i
select_random_subset(count: Integer, size: Integer, subset: Std::Vector≺int≻) -> NilClass
stitching_log_level -> Integer
wave_correct(rmats: Std::Vector≺cv꞉꞉Mat≻, kind: Cv::Detail::WaveCorrectKind) -> NilClass