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///////////////////////////////////////////////////////////////////////////
//
// Copyright (c) 2012-2018 DreamWorks Animation LLC
//
// All rights reserved. This software is distributed under the
// Mozilla Public License 2.0 ( http://www.mozilla.org/MPL/2.0/ )
//
// Redistributions of source code must retain the above copyright
// and license notice and the following restrictions and disclaimer.
//
// * Neither the name of DreamWorks Animation nor the names of
// its contributors may be used to endorse or promote products derived
// from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY INDIRECT, INCIDENTAL,
// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
// IN NO EVENT SHALL THE COPYRIGHT HOLDERS' AND CONTRIBUTORS' AGGREGATE
// LIABILITY FOR ALL CLAIMS REGARDLESS OF THEIR BASIS EXCEED US$250.00.
//
///////////////////////////////////////////////////////////////////////////
#include <cppunit/extensions/HelperMacros.h>
#include <openvdb/Exceptions.h>
#include <openvdb/openvdb.h>
#include <openvdb/tools/Dense.h>
#include <openvdb/tools/DenseSparseTools.h>
#include <openvdb/Types.h>
#include <openvdb/math/Math.h>
#include "util.h"
class TestDenseSparseTools: public CppUnit::TestCase
{
public:
virtual void setUp();
virtual void tearDown() { if (mDense) delete mDense;}
CPPUNIT_TEST_SUITE(TestDenseSparseTools);
CPPUNIT_TEST(testExtractSparseFloatTree);
CPPUNIT_TEST(testExtractSparseBoolTree);
CPPUNIT_TEST(testExtractSparseAltDenseLayout);
CPPUNIT_TEST(testExtractSparseMaskedTree);
CPPUNIT_TEST(testDenseTransform);
CPPUNIT_TEST(testOver);
CPPUNIT_TEST_SUITE_END();
void testExtractSparseFloatTree();
void testExtractSparseBoolTree();
void testExtractSparseAltDenseLayout();
void testExtractSparseMaskedTree();
void testDenseTransform();
void testOver();
private:
openvdb::tools::Dense<float>* mDense;
openvdb::math::Coord mijk;
};
CPPUNIT_TEST_SUITE_REGISTRATION(TestDenseSparseTools);
void
TestDenseSparseTools::setUp()
{
namespace vdbmath = openvdb::math;
// Domain for the dense grid
vdbmath::CoordBBox domain(vdbmath::Coord(-100, -16, 12),
vdbmath::Coord( 90, 103, 100));
// Create dense grid, filled with 0.f
mDense = new openvdb::tools::Dense<float>(domain, 0.f);
// Insert non-zero values
mijk[0] = 1; mijk[1] = -2; mijk[2] = 14;
}
namespace {
// Simple Rule for extracting data greater than a determined mMaskValue
// and producing a tree that holds type ValueType
namespace vdbmath = openvdb::math;
class FloatRule
{
public:
// Standard tree type (e.g. BoolTree or FloatTree in openvdb.h)
typedef openvdb::FloatTree ResultTreeType;
typedef ResultTreeType::LeafNodeType ResultLeafNodeType;
typedef float ResultValueType;
typedef float DenseValueType;
FloatRule(const DenseValueType& value): mMaskValue(value){}
template <typename IndexOrCoord>
void operator()(const DenseValueType& a, const IndexOrCoord& offset,
ResultLeafNodeType* leaf) const
{
if (a > mMaskValue) {
leaf->setValueOn(offset, a);
}
}
private:
const DenseValueType mMaskValue;
};
class BoolRule
{
public:
// Standard tree type (e.g. BoolTree or FloatTree in openvdb.h)
typedef openvdb::BoolTree ResultTreeType;
typedef ResultTreeType::LeafNodeType ResultLeafNodeType;
typedef bool ResultValueType;
typedef float DenseValueType;
BoolRule(const DenseValueType& value): mMaskValue(value){}
template <typename IndexOrCoord>
void operator()(const DenseValueType& a, const IndexOrCoord& offset,
ResultLeafNodeType* leaf) const
{
if (a > mMaskValue) {
leaf->setValueOn(offset, true);
}
}
private:
const DenseValueType mMaskValue;
};
// Square each value
struct SqrOp
{
float operator()(const float& in) const
{ return in * in; }
};
}
void
TestDenseSparseTools::testExtractSparseFloatTree()
{
namespace vdbmath = openvdb::math;
FloatRule rule(0.5f);
const float testvalue = 1.f;
mDense->setValue(mijk, testvalue);
const float background(0.f);
openvdb::FloatTree::Ptr result
= openvdb::tools::extractSparseTree(*mDense, rule, background);
// The result should have only one active value.
CPPUNIT_ASSERT(result->activeVoxelCount() == 1);
// The result should have only one leaf
CPPUNIT_ASSERT(result->leafCount() == 1);
// The background
CPPUNIT_ASSERT_DOUBLES_EQUAL(background, result->background(), 1.e-6);
// The stored value
CPPUNIT_ASSERT_DOUBLES_EQUAL(testvalue, result->getValue(mijk), 1.e-6);
}
void
TestDenseSparseTools::testExtractSparseBoolTree()
{
const float testvalue = 1.f;
mDense->setValue(mijk, testvalue);
const float cutoff(0.5);
openvdb::BoolTree::Ptr result
= openvdb::tools::extractSparseTree(*mDense, BoolRule(cutoff), false);
// The result should have only one active value.
CPPUNIT_ASSERT(result->activeVoxelCount() == 1);
// The result should have only one leaf
CPPUNIT_ASSERT(result->leafCount() == 1);
// The background
CPPUNIT_ASSERT(result->background() == false);
// The stored value
CPPUNIT_ASSERT(result->getValue(mijk) == true);
}
void
TestDenseSparseTools::testExtractSparseAltDenseLayout()
{
namespace vdbmath = openvdb::math;
FloatRule rule(0.5f);
// Create a dense grid with the alternate data layout
// but the same domain as mDense
openvdb::tools::Dense<float, openvdb::tools::LayoutXYZ> dense(mDense->bbox(), 0.f);
const float testvalue = 1.f;
dense.setValue(mijk, testvalue);
const float background(0.f);
openvdb::FloatTree::Ptr result = openvdb::tools::extractSparseTree(dense, rule, background);
// The result should have only one active value.
CPPUNIT_ASSERT(result->activeVoxelCount() == 1);
// The result should have only one leaf
CPPUNIT_ASSERT(result->leafCount() == 1);
// The background
CPPUNIT_ASSERT_DOUBLES_EQUAL(background, result->background(), 1.e-6);
// The stored value
CPPUNIT_ASSERT_DOUBLES_EQUAL(testvalue, result->getValue(mijk), 1.e-6);
}
void
TestDenseSparseTools::testExtractSparseMaskedTree()
{
namespace vdbmath = openvdb::math;
const float testvalue = 1.f;
mDense->setValue(mijk, testvalue);
// Create a mask with two values. One in the domain of
// interest and one outside. The intersection of the active
// state topology of the mask and the domain of interest will define
// the topology of the extracted result.
openvdb::FloatTree mask(0.f);
// turn on a point inside the bouding domain of the dense grid
mask.setValue(mijk, 5.f);
// turn on a point outside the bounding domain of the dense grid
vdbmath::Coord outsidePoint = mDense->bbox().min() - vdbmath::Coord(3, 3, 3);
mask.setValue(outsidePoint, 1.f);
float background = 10.f;
openvdb::FloatTree::Ptr result
= openvdb::tools::extractSparseTreeWithMask(*mDense, mask, background);
// The result should have only one active value.
CPPUNIT_ASSERT(result->activeVoxelCount() == 1);
// The result should have only one leaf
CPPUNIT_ASSERT(result->leafCount() == 1);
// The background
CPPUNIT_ASSERT_DOUBLES_EQUAL(background, result->background(), 1.e-6);
// The stored value
CPPUNIT_ASSERT_DOUBLES_EQUAL(testvalue, result->getValue(mijk), 1.e-6);
}
void
TestDenseSparseTools::testDenseTransform()
{
namespace vdbmath = openvdb::math;
vdbmath::CoordBBox domain(vdbmath::Coord(-4, -6, 10),
vdbmath::Coord( 1, 2, 15));
// Create dense grid, filled with value
const float value(2.f); const float valueSqr(value*value);
openvdb::tools::Dense<float> dense(domain, 0.f);
dense.fill(value);
SqrOp op;
vdbmath::CoordBBox smallBBox(vdbmath::Coord(-5, -5, 11),
vdbmath::Coord( 0, 1, 13) );
// Apply the transformation
openvdb::tools::transformDense<float, SqrOp>(dense, smallBBox, op, true);
vdbmath::Coord ijk;
// Test results.
for (ijk[0] = domain.min().x(); ijk[0] < domain.max().x() + 1; ++ijk[0]) {
for (ijk[1] = domain.min().y(); ijk[1] < domain.max().y() + 1; ++ijk[1]) {
for (ijk[2] = domain.min().z(); ijk[2] < domain.max().z() + 1; ++ijk[2]) {
if (smallBBox.isInside(ijk)) {
// the functor was applied here
// the value should be base * base
CPPUNIT_ASSERT_DOUBLES_EQUAL(dense.getValue(ijk), valueSqr, 1.e-6);
} else {
// the original value
CPPUNIT_ASSERT_DOUBLES_EQUAL(dense.getValue(ijk), value, 1.e-6);
}
}
}
}
}
void
TestDenseSparseTools::testOver()
{
namespace vdbmath = openvdb::math;
const vdbmath::CoordBBox domain(vdbmath::Coord(-10, 0, 5), vdbmath::Coord( 10, 5, 10));
const openvdb::Coord ijk = domain.min() + openvdb::Coord(1, 1, 1);
// Create dense grid, filled with value
const float value(2.f);
const float strength(1.f);
const float beta(1.f);
openvdb::FloatTree src(0.f);
src.setValue(ijk, 1.f);
openvdb::FloatTree alpha(0.f);
alpha.setValue(ijk, 1.f);
const float expected = openvdb::tools::ds::OpOver<float>::apply(
value, alpha.getValue(ijk), src.getValue(ijk), strength, beta, 1.f);
{ // testing composite function
openvdb::tools::Dense<float> dense(domain, 0.f);
dense.fill(value);
openvdb::tools::compositeToDense<openvdb::tools::DS_OVER>(
dense, src, alpha, beta, strength, true /*threaded*/);
// Check for over value
CPPUNIT_ASSERT_DOUBLES_EQUAL(dense.getValue(ijk), expected, 1.e-6);
// Check for original value
CPPUNIT_ASSERT_DOUBLES_EQUAL(dense.getValue(openvdb::Coord(1,1,1) + ijk), value, 1.e-6);
}
{ // testing sparse explict sparse composite
openvdb::tools::Dense<float> dense(domain, 0.f);
dense.fill(value);
typedef openvdb::tools::ds::CompositeFunctorTranslator<openvdb::tools::DS_OVER, float>
CompositeTool;
typedef CompositeTool::OpT Method;
openvdb::tools::SparseToDenseCompositor<Method, openvdb::FloatTree>
sparseToDense(dense, src, alpha, beta, strength);
sparseToDense.sparseComposite(true);
// Check for over value
CPPUNIT_ASSERT_DOUBLES_EQUAL(dense.getValue(ijk), expected, 1.e-6);
// Check for original value
CPPUNIT_ASSERT_DOUBLES_EQUAL(dense.getValue(openvdb::Coord(1,1,1) + ijk), value, 1.e-6);
}
{ // testing sparse explict dense composite
openvdb::tools::Dense<float> dense(domain, 0.f);
dense.fill(value);
typedef openvdb::tools::ds::CompositeFunctorTranslator<openvdb::tools::DS_OVER, float>
CompositeTool;
typedef CompositeTool::OpT Method;
openvdb::tools::SparseToDenseCompositor<Method, openvdb::FloatTree>
sparseToDense(dense, src, alpha, beta, strength);
sparseToDense.denseComposite(true);
// Check for over value
CPPUNIT_ASSERT_DOUBLES_EQUAL(dense.getValue(ijk), expected, 1.e-6);
// Check for original value
CPPUNIT_ASSERT_DOUBLES_EQUAL(dense.getValue(openvdb::Coord(1,1,1) + ijk), value, 1.e-6);
}
}
// Copyright (c) 2012-2018 DreamWorks Animation LLC
// All rights reserved. This software is distributed under the
// Mozilla Public License 2.0 ( http://www.mozilla.org/MPL/2.0/ )
|