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|---|---|---|---|
| 1 | // Copyright Contributors to the OpenVDB Project | ||
| 2 | // SPDX-License-Identifier: MPL-2.0 | ||
| 3 | |||
| 4 | #include <openvdb/Exceptions.h> | ||
| 5 | #include <openvdb/openvdb.h> | ||
| 6 | #include <openvdb/tools/Dense.h> | ||
| 7 | #include <openvdb/tools/DenseSparseTools.h> | ||
| 8 | #include <openvdb/Types.h> | ||
| 9 | #include <openvdb/math/Math.h> | ||
| 10 | |||
| 11 | #include <gtest/gtest.h> | ||
| 12 | |||
| 13 | #include "util.h" | ||
| 14 | |||
| 15 | 6 | class TestDenseSparseTools: public ::testing::Test | |
| 16 | { | ||
| 17 | public: | ||
| 18 | void SetUp() override; | ||
| 19 |
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12 | void TearDown() override { delete mDense; } |
| 20 | |||
| 21 | protected: | ||
| 22 | openvdb::tools::Dense<float>* mDense; | ||
| 23 | openvdb::math::Coord mijk; | ||
| 24 | }; | ||
| 25 | |||
| 26 | |||
| 27 |
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6 | void TestDenseSparseTools::SetUp() |
| 28 | { | ||
| 29 | namespace vdbmath = openvdb::math; | ||
| 30 | |||
| 31 | // Domain for the dense grid | ||
| 32 | |||
| 33 | 6 | vdbmath::CoordBBox domain(vdbmath::Coord(-100, -16, 12), | |
| 34 | 6 | vdbmath::Coord( 90, 103, 100)); | |
| 35 | |||
| 36 | // Create dense grid, filled with 0.f | ||
| 37 | |||
| 38 |
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6 | mDense = new openvdb::tools::Dense<float>(domain, 0.f); |
| 39 | |||
| 40 | // Insert non-zero values | ||
| 41 | |||
| 42 | 6 | mijk[0] = 1; mijk[1] = -2; mijk[2] = 14; | |
| 43 | 6 | } | |
| 44 | |||
| 45 | |||
| 46 | namespace { | ||
| 47 | |||
| 48 | // Simple Rule for extracting data greater than a determined mMaskValue | ||
| 49 | // and producing a tree that holds type ValueType | ||
| 50 | namespace vdbmath = openvdb::math; | ||
| 51 | |||
| 52 | class FloatRule | ||
| 53 | { | ||
| 54 | public: | ||
| 55 | // Standard tree type (e.g. BoolTree or FloatTree in openvdb.h) | ||
| 56 | typedef openvdb::FloatTree ResultTreeType; | ||
| 57 | typedef ResultTreeType::LeafNodeType ResultLeafNodeType; | ||
| 58 | |||
| 59 | typedef float ResultValueType; | ||
| 60 | typedef float DenseValueType; | ||
| 61 | |||
| 62 | 2 | FloatRule(const DenseValueType& value): mMaskValue(value){} | |
| 63 | |||
| 64 | template <typename IndexOrCoord> | ||
| 65 | 2039880 | void operator()(const DenseValueType& a, const IndexOrCoord& offset, | |
| 66 | ResultLeafNodeType* leaf) const | ||
| 67 | { | ||
| 68 |
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4079760 | if (a > mMaskValue) { |
| 69 | 2 | leaf->setValueOn(offset, a); | |
| 70 | } | ||
| 71 | 2039880 | } | |
| 72 | |||
| 73 | private: | ||
| 74 | const DenseValueType mMaskValue; | ||
| 75 | }; | ||
| 76 | |||
| 77 | class BoolRule | ||
| 78 | { | ||
| 79 | public: | ||
| 80 | // Standard tree type (e.g. BoolTree or FloatTree in openvdb.h) | ||
| 81 | typedef openvdb::BoolTree ResultTreeType; | ||
| 82 | typedef ResultTreeType::LeafNodeType ResultLeafNodeType; | ||
| 83 | |||
| 84 | typedef bool ResultValueType; | ||
| 85 | typedef float DenseValueType; | ||
| 86 | |||
| 87 | 1 | BoolRule(const DenseValueType& value): mMaskValue(value){} | |
| 88 | |||
| 89 | template <typename IndexOrCoord> | ||
| 90 | void operator()(const DenseValueType& a, const IndexOrCoord& offset, | ||
| 91 | ResultLeafNodeType* leaf) const | ||
| 92 | { | ||
| 93 |
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2039880 | if (a > mMaskValue) { |
| 94 | 1 | leaf->setValueOn(offset, true); | |
| 95 | } | ||
| 96 | } | ||
| 97 | |||
| 98 | private: | ||
| 99 | const DenseValueType mMaskValue; | ||
| 100 | }; | ||
| 101 | |||
| 102 | |||
| 103 | // Square each value | ||
| 104 | struct SqrOp | ||
| 105 | { | ||
| 106 | float operator()(const float& in) const | ||
| 107 | 105 | { return in * in; } | |
| 108 | }; | ||
| 109 | } | ||
| 110 | |||
| 111 | |||
| 112 |
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1 | TEST_F(TestDenseSparseTools, testExtractSparseFloatTree) |
| 113 | { | ||
| 114 | namespace vdbmath = openvdb::math; | ||
| 115 | |||
| 116 | |||
| 117 | FloatRule rule(0.5f); | ||
| 118 | |||
| 119 | const float testvalue = 1.f; | ||
| 120 | 1 | mDense->setValue(mijk, testvalue); | |
| 121 | 1 | const float background(0.f); | |
| 122 | openvdb::FloatTree::Ptr result | ||
| 123 | 1 | = openvdb::tools::extractSparseTree(*mDense, rule, background); | |
| 124 | |||
| 125 | // The result should have only one active value. | ||
| 126 | |||
| 127 |
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1 | EXPECT_TRUE(result->activeVoxelCount() == 1); |
| 128 | |||
| 129 | // The result should have only one leaf | ||
| 130 | |||
| 131 |
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1 | EXPECT_TRUE(result->leafCount() == 1); |
| 132 | |||
| 133 | // The background | ||
| 134 | |||
| 135 |
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1 | EXPECT_NEAR(background, result->background(), 1.e-6); |
| 136 | |||
| 137 | // The stored value | ||
| 138 | |||
| 139 |
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1 | EXPECT_NEAR(testvalue, result->getValue(mijk), 1.e-6); |
| 140 | 1 | } | |
| 141 | |||
| 142 | |||
| 143 |
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1 | TEST_F(TestDenseSparseTools, testExtractSparseBoolTree) |
| 144 | { | ||
| 145 | |||
| 146 | const float testvalue = 1.f; | ||
| 147 | 1 | mDense->setValue(mijk, testvalue); | |
| 148 | |||
| 149 | const float cutoff(0.5); | ||
| 150 | |||
| 151 | openvdb::BoolTree::Ptr result | ||
| 152 |
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1 | = openvdb::tools::extractSparseTree(*mDense, BoolRule(cutoff), false); |
| 153 | |||
| 154 | // The result should have only one active value. | ||
| 155 | |||
| 156 |
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1 | EXPECT_TRUE(result->activeVoxelCount() == 1); |
| 157 | |||
| 158 | // The result should have only one leaf | ||
| 159 | |||
| 160 |
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1 | EXPECT_TRUE(result->leafCount() == 1); |
| 161 | |||
| 162 | // The background | ||
| 163 | |||
| 164 |
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1 | EXPECT_TRUE(result->background() == false); |
| 165 | |||
| 166 | // The stored value | ||
| 167 | |||
| 168 |
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1 | EXPECT_TRUE(result->getValue(mijk) == true); |
| 169 | 1 | } | |
| 170 | |||
| 171 | |||
| 172 |
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1 | TEST_F(TestDenseSparseTools, testExtractSparseAltDenseLayout) |
| 173 | { | ||
| 174 | namespace vdbmath = openvdb::math; | ||
| 175 | |||
| 176 | FloatRule rule(0.5f); | ||
| 177 | // Create a dense grid with the alternate data layout | ||
| 178 | // but the same domain as mDense | ||
| 179 | 1 | openvdb::tools::Dense<float, openvdb::tools::LayoutXYZ> dense(mDense->bbox(), 0.f); | |
| 180 | |||
| 181 | const float testvalue = 1.f; | ||
| 182 | 1 | dense.setValue(mijk, testvalue); | |
| 183 | |||
| 184 | 1 | const float background(0.f); | |
| 185 |
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1 | openvdb::FloatTree::Ptr result = openvdb::tools::extractSparseTree(dense, rule, background); |
| 186 | |||
| 187 | // The result should have only one active value. | ||
| 188 | |||
| 189 |
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1 | EXPECT_TRUE(result->activeVoxelCount() == 1); |
| 190 | |||
| 191 | // The result should have only one leaf | ||
| 192 | |||
| 193 |
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1 | EXPECT_TRUE(result->leafCount() == 1); |
| 194 | |||
| 195 | // The background | ||
| 196 | |||
| 197 |
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1 | EXPECT_NEAR(background, result->background(), 1.e-6); |
| 198 | |||
| 199 | // The stored value | ||
| 200 | |||
| 201 |
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1 | EXPECT_NEAR(testvalue, result->getValue(mijk), 1.e-6); |
| 202 | 1 | } | |
| 203 | |||
| 204 | |||
| 205 |
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1 | TEST_F(TestDenseSparseTools, testExtractSparseMaskedTree) |
| 206 | { | ||
| 207 | namespace vdbmath = openvdb::math; | ||
| 208 | |||
| 209 | const float testvalue = 1.f; | ||
| 210 | 1 | mDense->setValue(mijk, testvalue); | |
| 211 | |||
| 212 | // Create a mask with two values. One in the domain of | ||
| 213 | // interest and one outside. The intersection of the active | ||
| 214 | // state topology of the mask and the domain of interest will define | ||
| 215 | // the topology of the extracted result. | ||
| 216 | |||
| 217 | 2 | openvdb::FloatTree mask(0.f); | |
| 218 | |||
| 219 | // turn on a point inside the bouding domain of the dense grid | ||
| 220 |
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1 | mask.setValue(mijk, 5.f); |
| 221 | |||
| 222 | // turn on a point outside the bounding domain of the dense grid | ||
| 223 |
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1 | vdbmath::Coord outsidePoint = mDense->bbox().min() - vdbmath::Coord(3, 3, 3); |
| 224 |
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1 | mask.setValue(outsidePoint, 1.f); |
| 225 | |||
| 226 | 1 | float background = 10.f; | |
| 227 | |||
| 228 | openvdb::FloatTree::Ptr result | ||
| 229 |
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1 | = openvdb::tools::extractSparseTreeWithMask(*mDense, mask, background); |
| 230 | |||
| 231 | // The result should have only one active value. | ||
| 232 | |||
| 233 |
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1 | EXPECT_TRUE(result->activeVoxelCount() == 1); |
| 234 | |||
| 235 | // The result should have only one leaf | ||
| 236 | |||
| 237 |
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1 | EXPECT_TRUE(result->leafCount() == 1); |
| 238 | |||
| 239 | // The background | ||
| 240 | |||
| 241 |
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1 | EXPECT_NEAR(background, result->background(), 1.e-6); |
| 242 | |||
| 243 | // The stored value | ||
| 244 | |||
| 245 |
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1 | EXPECT_NEAR(testvalue, result->getValue(mijk), 1.e-6); |
| 246 | 1 | } | |
| 247 | |||
| 248 | |||
| 249 |
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2 | TEST_F(TestDenseSparseTools, testDenseTransform) |
| 250 | { | ||
| 251 | |||
| 252 | namespace vdbmath = openvdb::math; | ||
| 253 | |||
| 254 | 1 | vdbmath::CoordBBox domain(vdbmath::Coord(-4, -6, 10), | |
| 255 | 1 | vdbmath::Coord( 1, 2, 15)); | |
| 256 | |||
| 257 | // Create dense grid, filled with value | ||
| 258 | 1 | const float value(2.f); const float valueSqr(value*value); | |
| 259 | |||
| 260 | 1 | openvdb::tools::Dense<float> dense(domain, 0.f); | |
| 261 | 1 | dense.fill(value); | |
| 262 | |||
| 263 | SqrOp op; | ||
| 264 | |||
| 265 | 1 | vdbmath::CoordBBox smallBBox(vdbmath::Coord(-5, -5, 11), | |
| 266 | 1 | vdbmath::Coord( 0, 1, 13) ); | |
| 267 | |||
| 268 | // Apply the transformation | ||
| 269 |
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1 | openvdb::tools::transformDense<float, SqrOp>(dense, smallBBox, op, true); |
| 270 | |||
| 271 | vdbmath::Coord ijk; | ||
| 272 | // Test results. | ||
| 273 |
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7 | for (ijk[0] = domain.min().x(); ijk[0] < domain.max().x() + 1; ++ijk[0]) { |
| 274 |
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60 | for (ijk[1] = domain.min().y(); ijk[1] < domain.max().y() + 1; ++ijk[1]) { |
| 275 |
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378 | for (ijk[2] = domain.min().z(); ijk[2] < domain.max().z() + 1; ++ijk[2]) { |
| 276 | |||
| 277 | if (smallBBox.isInside(ijk)) { | ||
| 278 | // the functor was applied here | ||
| 279 | // the value should be base * base | ||
| 280 |
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105 | EXPECT_NEAR(dense.getValue(ijk), valueSqr, 1.e-6); |
| 281 | } else { | ||
| 282 | // the original value | ||
| 283 |
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219 | EXPECT_NEAR(dense.getValue(ijk), value, 1.e-6); |
| 284 | } | ||
| 285 | } | ||
| 286 | } | ||
| 287 | } | ||
| 288 | 1 | } | |
| 289 | |||
| 290 | |||
| 291 |
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2 | TEST_F(TestDenseSparseTools, testOver) |
| 292 | { | ||
| 293 | namespace vdbmath = openvdb::math; | ||
| 294 | |||
| 295 | 1 | const vdbmath::CoordBBox domain(vdbmath::Coord(-10, 0, 5), vdbmath::Coord( 10, 5, 10)); | |
| 296 | 1 | const openvdb::Coord ijk = domain.min() + openvdb::Coord(1, 1, 1); | |
| 297 | // Create dense grid, filled with value | ||
| 298 | 1 | const float value(2.f); | |
| 299 | const float strength(1.f); | ||
| 300 | const float beta(1.f); | ||
| 301 | |||
| 302 | 2 | openvdb::FloatTree src(0.f); | |
| 303 |
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1 | src.setValue(ijk, 1.f); |
| 304 | 2 | openvdb::FloatTree alpha(0.f); | |
| 305 |
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2 | alpha.setValue(ijk, 1.f); |
| 306 | |||
| 307 | |||
| 308 |
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1 | const float expected = openvdb::tools::ds::OpOver<float>::apply( |
| 309 | value, alpha.getValue(ijk), src.getValue(ijk), strength, beta, 1.f); | ||
| 310 | |||
| 311 | { // testing composite function | ||
| 312 |
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1 | openvdb::tools::Dense<float> dense(domain, 0.f); |
| 313 | 1 | dense.fill(value); | |
| 314 | |||
| 315 |
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1 | openvdb::tools::compositeToDense<openvdb::tools::DS_OVER>( |
| 316 | dense, src, alpha, beta, strength, true /*threaded*/); | ||
| 317 | |||
| 318 | // Check for over value | ||
| 319 |
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1 | EXPECT_NEAR(dense.getValue(ijk), expected, 1.e-6); |
| 320 | // Check for original value | ||
| 321 |
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1 | EXPECT_NEAR(dense.getValue(openvdb::Coord(1,1,1) + ijk), value, 1.e-6); |
| 322 | } | ||
| 323 | |||
| 324 | { // testing sparse explict sparse composite | ||
| 325 |
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1 | openvdb::tools::Dense<float> dense(domain, 0.f); |
| 326 | 1 | dense.fill(value); | |
| 327 | |||
| 328 | typedef openvdb::tools::ds::CompositeFunctorTranslator<openvdb::tools::DS_OVER, float> | ||
| 329 | CompositeTool; | ||
| 330 | typedef CompositeTool::OpT Method; | ||
| 331 | openvdb::tools::SparseToDenseCompositor<Method, openvdb::FloatTree> | ||
| 332 | sparseToDense(dense, src, alpha, beta, strength); | ||
| 333 | |||
| 334 |
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1 | sparseToDense.sparseComposite(true); |
| 335 | // Check for over value | ||
| 336 |
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1 | EXPECT_NEAR(dense.getValue(ijk), expected, 1.e-6); |
| 337 | // Check for original value | ||
| 338 |
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1 | EXPECT_NEAR(dense.getValue(openvdb::Coord(1,1,1) + ijk), value, 1.e-6); |
| 339 | } | ||
| 340 | |||
| 341 | { // testing sparse explict dense composite | ||
| 342 |
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1 | openvdb::tools::Dense<float> dense(domain, 0.f); |
| 343 | 1 | dense.fill(value); | |
| 344 | |||
| 345 | typedef openvdb::tools::ds::CompositeFunctorTranslator<openvdb::tools::DS_OVER, float> | ||
| 346 | CompositeTool; | ||
| 347 | typedef CompositeTool::OpT Method; | ||
| 348 | openvdb::tools::SparseToDenseCompositor<Method, openvdb::FloatTree> | ||
| 349 | sparseToDense(dense, src, alpha, beta, strength); | ||
| 350 | |||
| 351 |
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1 | sparseToDense.denseComposite(true); |
| 352 | // Check for over value | ||
| 353 |
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1 | EXPECT_NEAR(dense.getValue(ijk), expected, 1.e-6); |
| 354 | // Check for original value | ||
| 355 |
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1 | EXPECT_NEAR(dense.getValue(openvdb::Coord(1,1,1) + ijk), value, 1.e-6); |
| 356 | } | ||
| 357 | 1 | } | |
| 358 |