CoreFlow 1.0.0
A modern orchestration and execution runtime
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Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 123]
 C_vx_border_tUse with the enumeration VX_NODE_BORDER to set the border mode behavior of a node that supports borders
 C_vx_coordinates2d_tThe 2D Coordinates structure
 C_vx_coordinates2df_tThe floating-point 2D Coordinates structure
 C_vx_coordinates3d_tThe 3D Coordinates structure
 C_vx_delta_rectangle_t
 C_vx_eventData structure which holds event information
 C_vx_event_graph_completedParameter structure returned with event of type VX_EVENT_GRAPH_COMPLETED
 C_vx_event_graph_parameter_consumedParameter structure returned with event of type VX_EVENT_GRAPH_PARAMETER_CONSUMED
 C_vx_event_info_tParameter structure associated with an event. Depends on type of the event
 C_vx_event_node_completedParameter structure returned with event of type VX_EVENT_NODE_COMPLETED
 C_vx_event_node_errorParameter structure returned with event of type VX_EVENT_NODE_ERROR
 C_vx_event_user_eventParameter structure returned with event of type VX_EVENT_USER_EVENT
 C_vx_hough_lines_p_tHough lines probability parameters
 C_vx_image_description_tA structure which describes the tile's parent image
 C_vx_imagepatch_addressing_tThe addressing image patch structure is used by the Host only to address pixels in an image patch. The fields of the structure are defined as:
 C_vx_kernel_description_tContains everything needed to abstractly describe a kernel. This is used to declare kernels at compile time
 C_vx_kernel_info_tThe Kernel Information Structure. This is returned by the Context to indicate which kernels are available in the OpenVX implementation
 C_vx_keypoint_tThe keypoint data structure
 C_vx_line2d_tLine struct
 C_vx_log_entry_tA log entry contains the graph reference, a status and a message
 C_vx_log_tThe log of a graph
 C_vx_neighborhood_size_tThe User Tiling Function Neighborhood declaration
 C_vx_nn_convolution_params_tInput parameters for a convolution operation
 C_vx_nn_deconvolution_params_tInput parameters for a deconvolution operation
 C_vx_nn_roi_pool_params_tInput parameters for ROI pooling operation
 C_vx_param_description_tContains everything needed to abstractly describe a parameter to a kernel. This is used to declare kernel parameters at compile time
 C_vx_perf_tThe performance measurement structure. The time or durations are in units of nano seconds
 C_vx_pixel_value_tUnion that describes the value of a pixel for any image format. Use the field corresponding to the image format
 C_vx_rectangle_tThe rectangle data structure that is shared with the users. The area of the rectangle can be computed as (end_x-start_x)*(end_y-start_y)
 C_vx_tensor_matrix_multiply_params_tMatrix Multiply Parameters
 C_vx_tile_block_size_tThe User Tiling Function tile block size declaration
 C_vx_tile_tThe tile structure declaration
 CAMD_bubble_pop
 CAMD_donut_pop
 Ccoreflow::MetaFormat::dim::arrayWhen a VX_TYPE_ARRAY is specified
 CCircularQueue< T, MaxDepth >Circular queue implementation
 Ccoreflow::MetaFormat::dimA struct of the configuration types needed by all object types
 Ccoreflow::MetaFormat::dim::distributionWhen a VX_TYPE_DISTRIBUTION is specified
 Ccoreflow::EventQueue
 CExecutionQueue< T, MaxDepth >Execution queue implementation
 Ccoreflow::xml::Export
 Ccoreflow::MetaFormat::dim::imageWhen a VX_TYPE_IMAGE
 Ccoreflow::xml::Import
 CKernellist
 CLinked_list_pop
 Ccoreflow::Logger
 Ccoreflow::MetaFormat::dim::lutWhen a VX_TYPE_LUT is specified
 Ccoreflow::MetaFormat::dim::matrixWhen a VX_TYPE_MATRIX is specified
 Ccoreflow::Memory
 CKernellist::node
 Ccoreflow::MetaFormat::dim::object_arrayWhen a VX_TYPE_OBJECT_ARRAY is specified
 Ccoreflow::OsalOS Abstraction Layer Utility Class
 Ccoreflow::Kernel::ParamThe parameter of the kernel
 Ccoreflow::MetaFormat::dim::pyramidWhen a VX_TYPE_PYRAMID is specified
 Ccoreflow::Reference
 Ccoreflow::Array
 Ccoreflow::Context
 Ccoreflow::Delay
 Ccoreflow::Distribution
 Ccoreflow::Error
 Ccoreflow::Graph
 Ccoreflow::Image
 Ccoreflow::Import
 Ccoreflow::Kernel
 Ccoreflow::Matrix
 Ccoreflow::Convolution
 Ccoreflow::MetaFormat
 Ccoreflow::Node
 Ccoreflow::ObjectArray
 Ccoreflow::Parameter
 Ccoreflow::Pyramid
 Ccoreflow::Remap
 Ccoreflow::Scalar
 Ccoreflow::Target
 Ccoreflow::Tensor
 Ccoreflow::Threshold
 Ccoreflow::UserDataObject
 Ccoreflow::MetaFormat::dim::remapWhen a VX_TYPE_REMAP is specified
 Ccoreflow::MetaFormat::dim::scalarWhen a VX_TYPE_SCALAR is specified
 Ccoreflow::MetaFormat::dim::tensor
 Ccoreflow::MetaFormat::dim::thresholdWhen a VX_TYPE_THRESHOLD is specified
 Ccoreflow::TypePairs
 Ccoreflow::MetaFormat::dim::user_data_objectWhen a VX_TYPE_USER_DATA_OBJECT is specified
 Cvx_cost_factors_tA data structure used to track the various costs which could being optimized
 Cvx_delay_param_tThe internal representation of the delay parameters as a list
 Ccoreflow::vx_enum_string_tThe enum string structure
 Cvx_external_tThe framework's internal-external memory tracking structure
 Cvx_graph_parameter_queue_params_tQueueing parameters for a specific graph parameter
 Cvx_hog_tThe HOG descriptor structure
 Cvx_kernel_attr_tThe kernel attributes structure
 Cvx_memory_map_extra
 Cvx_memory_map_tThe framework's mapping memory tracking structure
 Cvx_memory_tThe raw definition of memory layout
 Cvx_module_tThe tracking structure for a module
 Cvx_processor_tThe processor structure which contains the graph queue
 Cvx_queue_tThe queue object
 Cvx_signature_tThe internal representation of the attributes associated with a run-time parameter
 Cvx_target_funcs_tThe structure which holds all the target interface function pointers
 Cvx_threadpool_tThe threadpool tracking structure
 Cvx_threadpool_worker_tThe structure given to each threadpool worker during execution
 Cvx_type_size_t
 Cvx_value_set_tThe data object for queues
 Cvx_work_tThe work item to distribute across the threadpools