|
| enum | nvx_accessor_e {
NVX_READ_ONLY_CUDA = VX_ENUM_BASE(VX_ID_NVIDIA, VX_ENUM_ACCESSOR) + 0x0,
NVX_WRITE_ONLY_CUDA = VX_ENUM_BASE(VX_ID_NVIDIA, VX_ENUM_ACCESSOR) + 0x1,
NVX_READ_AND_WRITE_CUDA = VX_ENUM_BASE(VX_ID_NVIDIA, VX_ENUM_ACCESSOR) + 0x2
} |
| | Extended memory accessors. More...
|
| |
| enum | nvx_context_attribute_e {
NVX_CONTEXT_ATTRIBUTE_IMMEDIATE_TARGET_DEVICE = VX_ENUM_BASE(VX_ID_NVIDIA, VX_TYPE_CONTEXT) + 0x0,
NVX_CONTEXT_ATTRIBUTE_INITIAL_CUDA_DEVICE_ID
} |
| | The extended context attributes list. More...
|
| |
| enum | nvx_device_type_e {
NVX_DEVICE_ANY = 0x0,
NVX_DEVICE_CPU = 0x1,
NVX_DEVICE_GPU = 0x2
} |
| | Defines types of devices that can execute vision functions. More...
|
| |
| enum | nvx_df_image_e {
NVX_DF_IMAGE_F32 = VX_DF_IMAGE('F','0','3','2'),
NVX_DF_IMAGE_2F32 = VX_DF_IMAGE('2','F','3','2'),
NVX_DF_IMAGE_2S16 = VX_DF_IMAGE('2','S','1','6'),
NVX_DF_IMAGE_RGB16 = VX_DF_IMAGE('S','3','1','6')
} |
| | Defines additional image formats. More...
|
| |
| enum | nvx_directive_e {
NVX_DIRECTIVE_KEYPOINT_ERROR_DISABLE = VX_ENUM_BASE(VX_ID_NVIDIA, VX_ENUM_DIRECTIVE) + 0x0,
NVX_DIRECTIVE_KEYPOINT_ERROR_ENABLE,
NVX_DIRECTIVE_KEYPOINT_ERROR_DEFAULT,
NVX_DIRECTIVE_PERFORMANCE_DISABLE,
NVX_DIRECTIVE_PERFORMANCE_ENABLE,
NVX_DIRECTIVE_PERFORMANCE_DEFAULT
} |
| | Defines directives that control different features for graph / immediate processing. More...
|
| |
| enum | nvx_enum_e { NVX_ENUM_MUTABILITY = 0x00
} |
| | Defines the additional set of supported enumerations. More...
|
| |
| enum | nvx_find_homography_method_e {
NVX_FIND_HOMOGRAPHY_METHOD_USE_ALL_POINTS = 0x0,
NVX_FIND_HOMOGRAPHY_METHOD_RANSAC = 0x1,
NVX_FIND_HOMOGRAPHY_METHOD_LMEDS = 0x2
} |
| | Method used to compute a homography matrix. More...
|
| |
| enum | nvx_flip_mode_e {
NVX_FLIP_HORIZONTAL,
NVX_FLIP_VERTICAL,
NVX_FLIP_BOTH
} |
| | Defines modes for flip image operation. More...
|
| |
| enum | nvx_graph_attribute_e {
NVX_GRAPH_VERIFY_OPTIONS = VX_ENUM_BASE(VX_ID_NVIDIA, VX_TYPE_GRAPH) + 0x0,
NVX_GRAPH_VERIFY_NEEDED = VX_ENUM_BASE(VX_ID_NVIDIA, VX_TYPE_GRAPH) + 0x1
} |
| | The extended graph attributes list. More...
|
| |
| enum | nvx_import_type_e {
NVX_IMPORT_TYPE_CUDA = VX_ENUM_BASE(VX_ID_NVIDIA, VX_ENUM_IMPORT_MEM) + 0x0,
NVX_IMPORT_TYPE_CUDA_ARRAY
} |
| | Extended import type. More...
|
| |
| enum | nvx_kernel_e {
NVX_KERNEL_HARRIS_TRACK = VX_KERNEL_BASE(VX_ID_NVIDIA, NVX_LIBRARY_NVIDIA),
NVX_KERNEL_FAST_TRACK,
NVX_KERNEL_FLIP_IMAGE,
NVX_KERNEL_COPY_IMAGE,
NVX_KERNEL_SEMI_GLOBAL_MATCHING,
NVX_KERNEL_HOUGH_LINES,
NVX_KERNEL_HOUGH_SEGMENTS,
NVX_KERNEL_HOUGH_CIRCLES,
NVX_KERNEL_SCHARR_3x3,
NVX_KERNEL_LAPLACIAN_3x3,
NVX_KERNEL_MEDIAN_FLOW,
NVX_KERNEL_STEREO_BLOCK_MATCHING,
NVX_KERNEL_FIND_HOMOGRAPHY,
NVX_KERNEL_CREATE_MOTION_FIELD,
NVX_KERNEL_REFINE_MOTION_FIELD,
NVX_KERNEL_PARTITION_MOTION_FIELD,
NVX_KERNEL_MULTIPLY_BY_SCALAR
} |
| | Defines a list of extended vision kernels. More...
|
| |
| enum | nvx_mutability_e {
NVX_MUTABLE_INIT = VX_ENUM_BASE(VX_ID_NVIDIA, NVX_ENUM_MUTABILITY) + 0x0,
NVX_METADATA_IMMUTABLE_INIT = VX_ENUM_BASE(VX_ID_NVIDIA, NVX_ENUM_MUTABILITY) + 0x1,
NVX_IMMUTABLE_INIT = VX_ENUM_BASE(VX_ID_NVIDIA, NVX_ENUM_MUTABILITY) + 0x2
} |
| | Defines the mutability state of custom kernel parameter. More...
|
| |
| enum | nvx_node_attribute_e { NVX_NODE_ATTRIBUTE_CUDA_STREAM = VX_ATTRIBUTE_BASE(VX_ID_NVIDIA, VX_TYPE_NODE) + 0x0
} |
| | The extended node attributes list. More...
|
| |
| enum | nvx_scanline_e {
NVX_SCANLINE_LEFT_RIGHT = 1 << 0,
NVX_SCANLINE_TOP_LEFT_BOTTOM_RIGHT = 1 << 1,
NVX_SCANLINE_TOP_BOTTOM = 1 << 2,
NVX_SCANLINE_TOP_RIGHT_BOTTOM_LEFT = 1 << 3,
NVX_SCANLINE_RIGHT_LEFT = 1 << 4,
NVX_SCANLINE_BOTTOM_RIGHT_TOP_LEFT = 1 << 5,
NVX_SCANLINE_BOTTOM_TOP = 1 << 6,
NVX_SCANLINE_BOTTOM_LEFT_TOP_RIGHT = 1 << 7,
NVX_SCANLINE_CROSS,
NVX_SCANLINE_ALL = 0xFF
} |
| | Defines scan line's directions used during cost aggregation step. More...
|
| |
| enum | nvx_sgm_flags_e { NVX_SGM_FILTER_TOP_AREA = 1 << 0
} |
| | Defines extra flags for SGM algorithm. More...
|
| |
| enum | nvx_status_e {
NVX_ERROR_NO_CUDA_GPU = -1000,
NVX_ERROR_UNSUPPORTED_CUDA_GPU = -1001,
NVX_ERROR_CUDA_FAILURE = -1002
} |
| | Defines additional error codes. More...
|
| |
| enum | nvx_type_e {
NVX_TYPE_POINT2F = VX_TYPE_VENDOR_STRUCT_START,
NVX_TYPE_POINT3F,
NVX_TYPE_POINT4F,
NVX_TYPE_KEYPOINTF,
NVX_TYPE_STRUCT_MAX,
NVX_TYPE_OBJECT_MAX = VX_TYPE_VENDOR_OBJECT_START
} |
| | Defines additional types. More...
|
| |
|
| vx_node | nvxCopyImageNode (vx_graph graph, vx_image src, vx_image dst) |
| | [Graph] Copies data from one image to another. More...
|
| |
| vx_image | nvxCreateImageFromChannel (vx_image imgref, vx_enum channel) |
| | Creates an image from a single channel of another image. More...
|
| |
| vx_node | nvxCreateMotionFieldNode (vx_graph graph, vx_image ref_image, vx_image cur_image, vx_image anchor, vx_image bias, vx_image best_mv0, vx_image best_mv1, vx_image sad_table, vx_int32 blockSize, vx_int32 searchWindowWidth, vx_int32 searchWindowHeight, vx_float32 biasWeight, vx_int32 mvDivFactor) |
| | [Graph] Creates initial motion field from a current image into reference image. More...
|
| |
| vx_graph | nvxCreateStreamGraph (vx_context context) |
| | Creates an empty graph as a node stream. More...
|
| |
| vx_node | nvxFastTrackNode (vx_graph graph, vx_image input, vx_array output, vx_image mask, vx_array tracked_points, vx_uint32 type, vx_uint32 threshold, vx_uint32 cell_size, vx_scalar num_corners) |
| | [Graph] Detects and tracks corners using the FAST algorithm. More...
|
| |
| vx_node | nvxFindHomographyNode (vx_graph graph, vx_array srcPoints, vx_array dstPoints, vx_matrix homography, vx_enum method, vx_float32 threshold, vx_int32 maxEstimateIters, vx_int32 maxRefineIters, vx_float32 confidence, vx_float32 outlierRatio, vx_array inliers) |
| | [Graph] Computes homography matrix. More...
|
| |
| vx_node | nvxFlipImageNode (vx_graph graph, vx_image input, vx_image output, vx_enum flip_mode) |
| | [Graph] Flips the input image. More...
|
| |
| void | nvxGetVersionInfo (nvx_version_info_t *info) |
| | Gets information about VisionWorks library version. More...
|
| |
| vx_node | nvxHarrisTrackNode (vx_graph graph, vx_image input, vx_array output, vx_image mask, vx_array tracked_points, vx_float32 k, vx_float32 threshold, vx_uint32 cell_size, vx_scalar num_corners) |
| | [Graph] Detects and tracks Harris corners for the input image. More...
|
| |
| vx_node | nvxHoughCirclesNode (vx_graph graph, vx_image edges, vx_image dx, vx_image dy, vx_array circles, vx_scalar s_num_detections, vx_float32 dp, vx_float32 minDist, vx_uint32 minRadius, vx_uint32 maxRadius, vx_uint32 acc_threshold) |
| | [Graph] Detects circles in a binary image. More...
|
| |
| vx_node | nvxHoughLinesNode (vx_graph graph, vx_image input, vx_array output, vx_float32 rho, vx_float32 theta, vx_uint32 threshold, vx_scalar num_lines) |
| | [Graph] Finds lines on image using standard Hough transform. More...
|
| |
| vx_node | nvxHoughSegmentsNode (vx_graph graph, vx_image input, vx_array output, vx_float32 rho, vx_float32 theta, vx_uint32 threshold, vx_uint32 minLineLength, vx_uint32 maxLineGap, vx_scalar num_segments) |
| | [Graph] Finds line segments in a binary image using the probabilistic Hough transform. More...
|
| |
| vx_node | nvxLaplacian3x3Node (vx_graph graph, vx_image input, vx_image output) |
| | [Graph] Creates a Laplacian filter node. More...
|
| |
| vx_status | nvxMapImagePatch (vx_image image, const vx_rectangle_t *rect, vx_uint32 plane_index, vx_imagepatch_addressing_t *addr, void **ptr, vx_enum usage, vx_enum memory_type, vx_uint32 flags) |
| | Maps a rectangular patch (subset) of an image from a single plane. More...
|
| |
| vx_status | nvxMapRemapPatch (vx_remap remap, vx_rectangle_t *rect, vx_imagepatch_addressing_t *addr, void **ptr, vx_enum usage) |
| | Maps a rectangular patch (subset) of a remap object. More...
|
| |
| vx_node | nvxMedianFlowNode (vx_graph graph, vx_array prev_pts, vx_array next_pts, vx_array pts_fb, vx_array out, vx_bool estimate_scale, vx_bool filter_flow_by_err, vx_float32 error_fb_thresh) |
| | [Graph] Computes median flow. More...
|
| |
| vx_node | nvxMultiplyByScalarNode (vx_graph graph, vx_image src, vx_image dst, vx_float32 alpha) |
| | [Graph] Multiplies an input image by scalar and optionally converts it to another data type. More...
|
| |
| vx_node | nvxPartitionMotionFieldNode (vx_graph graph, vx_image ref_image, vx_image cur_image, vx_image in_mv_0, vx_image in_mv_1, vx_image out_mv_0, vx_image out_mv_1, vx_float32 smoothnessFactor, vx_int32 mvDivFactor) |
| | [Graph] Partitions motion vector field for blocks onto motion vector field into quarter sized blocks (half size in each dimension). More...
|
| |
| vx_node | nvxRefineMotionFieldNode (vx_graph graph, vx_image in_mv0, vx_image in_mv1, vx_image sad_table, vx_image out_mv0, vx_image out_mv1, vx_int32 searchWindowWidth, vx_int32 searchWindowHeight, vx_int32 numIterations, vx_float32 smoothnessFactor, vx_int32 mvDivFactor) |
| | [Graph] Iteratively refines motion field by applying the motion vectors to a center block in a 3x3 block neighborhood. More...
|
| |
| vx_status | nvxRegisterAutoAging (vx_graph graph, vx_delay delay) |
| | Registers a delay for auto-aging. More...
|
| |
| vx_status | nvxReleaseReferenceList (vx_reference ref_list[], vx_size num_refs) |
| | Releases a list of references to OpenVX objects. More...
|
| |
| vx_status | nvxRetainReference (vx_reference ref) |
| | Increments the reference counter of an object. More...
|
| |
| vx_node | nvxScharr3x3Node (vx_graph graph, vx_image input, vx_image grad_x, vx_image grad_y) |
| | [Graph] Applies Scharr 3 x 3 operator. More...
|
| |
| vx_node | nvxSemiGlobalMatchingNode (vx_graph graph, vx_image left, vx_image right, vx_image disparity, vx_int32 minD, vx_int32 maxD, vx_int32 P1, vx_int32 P2, vx_int32 sad, vx_int32 clip, vx_int32 max_diff, vx_int32 uniqueness, vx_enum scanlines_mask, vx_enum flags) |
| | [Graph] evaluate disparity given 2 stereo images using the SGM algorithm. More...
|
| |
| vx_status | nvxSetKernelParameterMutability (vx_kernel kernel, vx_uint32 index, vx_enum mutability) |
| | Allows users to set the mutability of the custom kernel. By default, kernel parameters are set to NVX_MUTABLE_INIT. More...
|
| |
| vx_status | nvxSetNodeTargetDevice (vx_node node, vx_enum device) |
| | Sets the target device type for the node. More...
|
| |
| vx_node | nvxStereoBlockMatchingNode (vx_graph graph, vx_image left, vx_image right, vx_image disp, vx_uint32 winSize, vx_uint32 maxDisparity) |
| | [Graph] This primitive computes a dense disparity map for a given stereo pair. More...
|
| |
| vx_status | nvxuCopyImage (vx_context context, vx_image src, vx_image dst) |
| | [Immediate] Copies data from one image to another. More...
|
| |
| vx_status | nvxuCreateMotionField (vx_context context, vx_image ref_image, vx_image cur_image, vx_image anchor, vx_image bias, vx_image best_mv0, vx_image best_mv1, vx_image sad_table, vx_int32 blockSize, vx_int32 searchWindowWidth, vx_int32 searchWindowHeight, vx_float32 biasWeight, vx_int32 mvDivFactor) |
| | [Immediate] Creates initial motion field from a current image into reference image. More...
|
| |
| vx_status | nvxuFastTrack (vx_context context, vx_image input, vx_array output, vx_image mask, vx_array tracked_points, vx_uint32 type, vx_uint32 threshold, vx_uint32 cell_size, vx_scalar num_corners) |
| | [Immediate] Detects and tracks corners using the FAST algorithm. More...
|
| |
| vx_status | nvxuFindHomography (vx_context context, vx_array srcPoints, vx_array dstPoints, vx_matrix homography, vx_enum method, vx_float32 threshold, vx_int32 maxEstimateIters, vx_int32 maxRefineIters, vx_float32 confidence, vx_float32 outlierRatio, vx_array inliers) |
| | [Immediate] Computes homography matrix. More...
|
| |
| vx_status | nvxuFlipImage (vx_context context, vx_image input, vx_image output, vx_enum flip_mode) |
| | [Immediate] Flips the input image. More...
|
| |
| vx_status | nvxuHarrisTrack (vx_context context, vx_image input, vx_array output, vx_image mask, vx_array tracked_points, vx_float32 k, vx_float32 threshold, vx_uint32 cell_size, vx_scalar num_corners) |
| | [Immediate] Detects and tracks Harris corners for the input image. More...
|
| |
| vx_status | nvxuHoughCircles (vx_context context, vx_image edges, vx_image dx, vx_image dy, vx_array circles, vx_scalar s_num_detections, vx_float32 dp, vx_float32 minDist, vx_uint32 minRadius, vx_uint32 maxRadius, vx_uint32 acc_threshold) |
| | [Immediate] Detects circles in a binary image. More...
|
| |
| vx_status | nvxuHoughLines (vx_context context, vx_image input, vx_array output, vx_float32 rho, vx_float32 theta, vx_uint32 threshold, vx_scalar num_lines) |
| | [Immediate] Finds lines on image using standard Hough transform. More...
|
| |
| vx_status | nvxuHoughSegments (vx_context context, vx_image input, vx_array output, vx_float32 rho, vx_float32 theta, vx_uint32 threshold, vx_uint32 minLineLength, vx_uint32 maxLineGap, vx_scalar num_segments) |
| | [Immediate] Finds line segments in a binary image using the probabilistic Hough transform. More...
|
| |
| vx_status | nvxuLaplacian3x3 (vx_context context, vx_image input, vx_image output) |
| | [Immediate] Applies a Laplacian operator to the input image. More...
|
| |
| vx_status | nvxuMedianFlow (vx_context context, vx_array prev_pts, vx_array next_pts, vx_array pts_fb, vx_array out, vx_bool estimate_scale, vx_bool filter_flow_by_err, vx_float32 error_fb_thresh) |
| | [Immediate] Computes median flow. More...
|
| |
| vx_status | nvxuMultiplyByScalar (vx_context context, vx_image src, vx_image dst, vx_float32 alpha) |
| | [Immediate] Multiplies an input image by scalar and optionally converts it to another data type. More...
|
| |
| vx_status | nvxUnmapImagePatch (vx_image image, const vx_rectangle_t *rect, vx_uint32 plane_index, void *ptr, vx_enum memory_type) |
| | Unmaps a mapped patch (subset) of an image. More...
|
| |
| vx_status | nvxUnmapRemapPatch (vx_remap remap, void *ptr) |
| | Unmaps a mapped patch (subset) of a remap object. More...
|
| |
| vx_status | nvxuPartitionMotionField (vx_context context, vx_image ref_image, vx_image cur_image, vx_image in_mv_0, vx_image in_mv_1, vx_image out_mv_0, vx_image out_mv_1, vx_float32 smoothnessFactor, vx_int32 mvDivFactor) |
| | [Immediate] Partitions motion vector field for blocks onto motion vector field into quarter sized blocks (half size in each dimension). More...
|
| |
| vx_status | nvxuRefineMotionField (vx_context context, vx_image in_mv0, vx_image in_mv1, vx_image sad_table, vx_image out_mv0, vx_image out_mv1, vx_int32 searchWindowWidth, vx_int32 searchWindowHeight, vx_int32 numIterations, vx_float32 smoothnessFactor, vx_int32 mvDivFactor) |
| | [Immediate] Iteratively refines motion field by applying the motion vectors to a center block in a 3x3 block neighborhood. More...
|
| |
| vx_status | nvxuScharr3x3 (vx_context context, vx_image input, vx_image grad_x, vx_image grad_y) |
| | [Immediate] Applies Scharr 3 x 3 operator. More...
|
| |
| vx_status | nvxuSemiGlobalMatching (vx_context context, vx_image left, vx_image right, vx_image disparity, vx_int32 minD, vx_int32 maxD, vx_int32 P1, vx_int32 P2, vx_int32 sad, vx_int32 clip, vx_int32 max_diff, vx_int32 uniqueness, vx_enum scanlines_mask, vx_enum flags) |
| | [Immediate] evaluate disparity given 2 stereo images using the SGM algorithm. More...
|
| |
| vx_status | nvxuStereoBlockMatching (vx_context context, vx_image left, vx_image right, vx_image disp, vx_uint32 winSize, vx_uint32 maxDisparity) |
| | [Immediate] This primitive computes a dense disparity map for a given stereo pair. More...
|
| |
