Crate vlfeat_sys [−] [src]
Reexports
pub use self::_VlVectorComparisonType as VlVectorComparisonType; |
pub use self::_VlFrameType as VlFrameType; |
pub use self::_VlCovDetMethod as VlCovDetMethod; |
pub use self::_VlKDTreeThresholdingMethod as VlKDTreeThresholdingMethod; |
pub use self::_VlKMeansAlgorithm as VlKMeansAlgorithm; |
pub use self::_VlKMeansInitialization as VlKMeansInitialization; |
pub use self::_VlGMMInitialization as VlGMMInitialization; |
pub use self::VlHogVariant_ as VlHogVariant; |
pub use self::_VlLbpMappingType as VlLbpMappingType; |
Structs
| VlDsiftDescriptorGeometry_ |
@brief Dense SIFT descriptor geometry |
| VlDsiftFilter_ |
@brief Dense SIFT filter |
| VlDsiftKeypoint_ |
@brief Dense SIFT keypoint |
| VlHog_ | |
| VlLbp_ |
@brief Local Binary Pattern extractor |
| VlSvmDataset_ | |
| VlSvmStatistics_ |
@brief SVM statistics ** This structure contains statistics characterising the state of ** the SVM solver, such as the current value of the objective function. ** ** Not all fields are used by all solvers. |
| VlSvm_ | |
| _VLHIKMNode | |
| _VLHIKMTree | |
| _VlAIB |
|
| _VlArray |
@brief Numeric array |
| _VlCovDet | |
| _VlCovDetFeature |
@brief A detected feature shape and location |
| _VlCovDetFeatureLaplacianScale |
@brief A detected feature Laplacian scale |
| _VlCovDetFeatureOrientation |
@brief A detected feature orientation |
| _VlEnumerator |
@brief Member of an enumeration |
| _VlFrameDisc |
@brief Disc feature frame |
| _VlFrameEllipse |
@brief Ellipse feature frame |
| _VlFrameOrientedDisc |
@brief Oriented disc feature frame ** An upright frame has @c angle equal to zero. |
| _VlFrameOrientedEllipse |
@brief Oriented ellipse feature frame ** The affine transformation transforms the ellipse shape into ** a circular region. |
| _VlGMM | |
| _VlHIKMNode |
@brief HIKM tree node ** ** The number of children @a K is not bigger than the @a K parameter ** of the HIKM tree. |
| _VlHIKMTree |
@brief HIKM tree |
| _VlHomogeneousKernelMap | |
| _VlIKMFilt |
|
| _VlKDForest |
@brief KDForest object |
| _VlKDForestNeighbor |
@brief Neighbor of a query point |
| _VlKDForestSearchState | |
| _VlKDForestSearcher |
@brief ::VlKDForest searcher object |
| _VlKDTree | |
| _VlKDTreeDataIndexEntry | |
| _VlKDTreeNode | |
| _VlKDTreeSplitDimension | |
| _VlKMeans |
|
| _VlLiopDesc |
@brief LIOP descriptor extractor object |
| _VlMserExtrReg |
@internal ** @brief MSER: extremal region (declaration) ** ** Extremal regions (ER) are extracted from the region forest. Each ** region is represented by an instance of this structure. The ** structures are stored into an array, in arbitrary order. ** ** ER are arranged into a tree. @a parent points to the parent ER, or ** to itself if the ER is the root. ** ** An instance of the structure represents the extremal region of the ** level set of intensity VlMserExtrReg::value and containing the ** pixel VlMserExtReg::index. ** ** VlMserExtrReg::area is the area of the extremal region and ** VlMserExtrReg::area_top is the area of the extremal region ** containing this region in the level set of intensity ** VlMserExtrReg::area + @c delta. ** ** VlMserExtrReg::variation is the relative area variation @c ** (area_top-area)/area. ** ** VlMserExtrReg::max_stable is a flag signaling whether this extremal ** region is also maximally stable. |
| _VlMserFilt |
@internal ** @brief MSER filter ** @see @ref mser |
| _VlMserReg |
@internal ** @brief MSER: basic region (declaration) ** ** Extremal regions and maximally stable extremal regions are ** instances of image regions. ** ** There is an image region for each pixel of the image. Each region ** is represented by an instance of this structure. Regions are ** stored into an array in pixel order. ** ** Regions are arranged into a forest. VlMserReg::parent points to ** the parent node, or to the node itself if the node is a root. ** VlMserReg::parent is the index of the node in the node array ** (which therefore is also the index of the corresponding ** pixel). VlMserReg::height is the distance of the fartest leaf. If ** the node itself is a leaf, then VlMserReg::height is zero. ** ** VlMserReg::area is the area of the image region corresponding to ** this node. ** ** VlMserReg::region is the extremal region identifier. Not all ** regions are extremal regions however; if the region is NOT ** extremal, this field is set to .... |
| _VlMserStats |
@brief MSER filter statistics definition |
| _VlPgmImage |
@brief PGM image meta data ** ** A PGM image is a 2-D array of pixels of width #width and height ** #height. Each pixel is an integer one or two bytes wide, depending ** whether #max_value is smaller than 256. |
| _VlQS |
|
| _VlRand |
@brief Random numbber generator state |
| _VlScaleSpace | |
| _VlScaleSpaceGeometry |
@brief Geometry of a scale space ** ** There are a few restrictions on the valid geometrties. |
| _VlScaleSpaceOctaveGeometry |
@brief Geometry of one octave of a scale space |
| _VlSiftFilt |
|
| _VlSiftKeypoint |
|
| _VlX86CpuInfo |
|
| _VlX86CpuInfo__bindgen_ty_1 | |
| __BindgenUnionField | |
| __darwin_fp_control | |
| __darwin_fp_status | |
| __darwin_i386_avx_state | |
| __darwin_i386_exception_state | |
| __darwin_i386_float_state | |
| __darwin_i386_thread_state | |
| __darwin_mcontext32 | |
| __darwin_mcontext64 | |
| __darwin_mcontext_avx32 | |
| __darwin_mcontext_avx64 | |
| __darwin_mmst_reg | |
| __darwin_pthread_handler_rec | |
| __darwin_sigaltstack | |
| __darwin_ucontext | |
| __darwin_x86_avx_state64 | |
| __darwin_x86_debug_state32 | |
| __darwin_x86_debug_state64 | |
| __darwin_x86_exception_state64 | |
| __darwin_x86_float_state64 | |
| __darwin_x86_thread_state64 | |
| __darwin_xmm_reg | |
| __double2 | |
| __float2 | |
| __mbstate_t | |
| __sFILE | |
| __sFILEX | |
| __sbuf | |
| __sigaction | |
| __sigaction_u | |
| __siginfo | |
| __va_list_tag | |
| _bindgen_ty_1 |
@internal @brief IEEE single precision quiet NaN constant |
| _bindgen_ty_2 |
@internal @brief IEEE single precision infinity constant |
| _bindgen_ty_3 |
@internal @brief IEEE double precision quiet NaN constant |
| _bindgen_ty_4 |
@internal @brief IEEE double precision infinity constant |
| _opaque_pthread_attr_t | |
| _opaque_pthread_cond_t | |
| _opaque_pthread_condattr_t | |
| _opaque_pthread_mutex_t | |
| _opaque_pthread_mutexattr_t | |
| _opaque_pthread_once_t | |
| _opaque_pthread_rwlock_t | |
| _opaque_pthread_rwlockattr_t | |
| _opaque_pthread_t | |
| div_t | |
| exception | |
| ldiv_t | |
| lldiv_t | |
| option |
@brief ::getopt_long option |
| proc_rlimit_control_wakeupmon | |
| rlimit | |
| rusage | |
| rusage_info_v0 | |
| rusage_info_v1 | |
| rusage_info_v2 | |
| rusage_info_v3 | |
| sigaction | |
| sigevent | |
| sigstack | |
| sigval | |
| sigvec | |
| timespec | |
| timeval | |
| tm | |
| wait | |
| wait__bindgen_ty_1 | |
| wait__bindgen_ty_2 |
Enums
| VlHogVariant_ | |
| VlHomogeneousKernelMapWindowType |
@brief Type of spectral windowing function |
| VlHomogeneousKernelType |
@brief Type of kernel |
| VlIKMAlgorithms |
|
| VlSvmLossType |
@brief Type of SVM loss ** ** Default SVM loss types. The loss can be set by using ::vl_svm_set_loss. ** Note that custom losses can be used too by using ::vl_svm_set_loss_function, ** ::vl_svm_set_loss_derivative_function, etc. ** ** @sa svm-loss-functions |
| VlSvmSolverStatus |
@brief Solver status |
| VlSvmSolverType |
@brief Type of SVM solver |
| _VlCovDetMethod |
@brief Covariant feature detection method |
| _VlFrameType |
@brief Types of feature frames |
| _VlGMMInitialization |
@brief GMM initialization algorithms |
| _VlKDTreeThresholdingMethod |
@brief Thresholding method |
| _VlKMeansAlgorithm |
@brief K-means algorithms |
| _VlKMeansInitialization |
@brief K-means initialization algorithms |
| _VlLbpMappingType |
@brief Type of quantization for the LBP descriptors ** @see @ref lbp-quantization |
| _VlVectorComparisonType |
@brief Vector comparison types |
| _bindgen_ty_5 |
@brief File protocols |
| idtype_t |