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evss_learning_lib.cpp
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/*
* Copyright (c) 2013-2014 The Khronos Group Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and/or associated documentation files (the
* "Materials"), to deal in the Materials without restriction, including
* without limitation the rights to use, copy, modify, merge, publish,
* distribute, sublicense, and/or sell copies of the Materials, and to
* permit persons to whom the Materials are furnished to do so, subject to
* the following conditions:
*
* The above copyright notice and this permission notice shall be included
* in all copies or substantial portions of the Materials.
*
* THE MATERIALS ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
* MATERIALS OR THE USE OR OTHER DEALINGS IN THE MATERIALS.
*/
#include <VX/lower/vx_lower.h>
#include "vx_lib_snps.h"
/*!
* \file vx_demo_lib.c
* \example vx_demo_lib.c
* \brief An example of how to write a user mode extension to OpenVX.
* \author Hamid Bazargani <hamidb@synopsys.com>
*/
//! [node]
vx_node vxSnpsLearningNode(vx_graph graph, vx_image input, vx_image CNNMask, vx_array integralImg, vx_array sqrIntegralImg,
vx_array trckRect, vx_array detectRect, vx_array learnRect, vx_scalar confidence)
{
vx_reference params[] = {
(vx_reference)input,
(vx_reference)CNNMask,
(vx_reference)integralImg,
(vx_reference)sqrIntegralImg,
(vx_reference)trckRect,
(vx_reference)detectRect,
(vx_reference)learnRect,
(vx_reference)confidence,
};
return vxCreateNodeByStructure(graph, VX_KERNEL_USER_LEARNING, params, dimof(params));
}
//! [node]
//! [vxu]
/* IMMEDIATE INTERFACES */
vx_status vxuSnpsLearning(vx_context context, vx_image input, vx_image CNNMask, vx_array integralImg, vx_array sqrIntegralImg,
vx_array trckRect, vx_array detectRect, vx_array learnRect, vx_scalar confidence)
{
vx_status status = VX_FAILURE;
vx_graph graph = vxCreateGraph(context);
if (graph)
{
vx_node node = vxSnpsLearningNode(graph, input, CNNMask, integralImg, sqrIntegralImg,
trckRect, detectRect, learnRect, confidence);
if (node)
{
status = vxVerifyGraph(graph);
if (status == VX_SUCCESS)
{
status = vxProcessGraph(graph);
}
vxReleaseNode(&node);
}
vxReleaseGraph(&graph);
}
return status;
}
//! [vxu]