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1 | // Copyright Contributors to the OpenVDB Project | ||
2 | // SPDX-License-Identifier: MPL-2.0 | ||
3 | |||
4 | #include <openvdb/io/TempFile.h> | ||
5 | #include <openvdb/points/PointDataGrid.h> | ||
6 | #include <openvdb/points/PointAttribute.h> | ||
7 | #include <openvdb/points/PointConversion.h> | ||
8 | #include <openvdb/points/PointCount.h> | ||
9 | #include <openvdb/points/PointGroup.h> | ||
10 | |||
11 | #include <gtest/gtest.h> | ||
12 | |||
13 | |||
14 | using namespace openvdb; | ||
15 | using namespace openvdb::points; | ||
16 | |||
17 | 6 | class TestPointConversion: public ::testing::Test | |
18 | { | ||
19 | public: | ||
20 | 6 | void SetUp() override { openvdb::initialize(); } | |
21 | 6 | void TearDown() override { openvdb::uninitialize(); } | |
22 | }; // class TestPointConversion | ||
23 | |||
24 | |||
25 | // Simple Attribute Wrapper | ||
26 | template <typename T> | ||
27 |
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28 | struct AttributeWrapper |
28 | { | ||
29 | using ValueType = T; | ||
30 | using PosType = T; | ||
31 | using value_type = T; | ||
32 | |||
33 | struct Handle | ||
34 | { | ||
35 | 1578 | Handle(AttributeWrapper<T>& attribute) | |
36 | 1574 | : mBuffer(attribute.mAttribute) | |
37 | 1587 | , mStride(attribute.mStride) { } | |
38 | |||
39 | template <typename ValueType> | ||
40 | 5160092 | void set(size_t n, openvdb::Index m, const ValueType& value) { | |
41 | 8360134 | mBuffer[n * mStride + m] = static_cast<T>(value); | |
42 | 5160092 | } | |
43 | |||
44 | template <typename ValueType> | ||
45 | void set(size_t n, openvdb::Index m, const openvdb::math::Vec3<ValueType>& value) { | ||
46 | 1545031 | mBuffer[n * mStride + m] = static_cast<T>(value); | |
47 | } | ||
48 | |||
49 | private: | ||
50 | std::vector<T>& mBuffer; | ||
51 | Index mStride; | ||
52 | }; // struct Handle | ||
53 | |||
54 |
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1 | explicit AttributeWrapper(const Index stride) : mStride(stride) { } |
55 | |||
56 | void expand() { } | ||
57 | void compact() { } | ||
58 | |||
59 |
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20 | void resize(const size_t n) { mAttribute.resize(n); } |
60 | size_t size() const { return mAttribute.size(); } | ||
61 | |||
62 | std::vector<T>& buffer() { return mAttribute; } | ||
63 | |||
64 | template <typename ValueT> | ||
65 |
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16456311 | void get(ValueT& value, size_t n, openvdb::Index m = 0) const { value = mAttribute[n * mStride + m]; } |
66 | template <typename ValueT> | ||
67 | void getPos(size_t n, ValueT& value) const { this->get<ValueT>(value, n); } | ||
68 | |||
69 | private: | ||
70 | std::vector<T> mAttribute; | ||
71 | Index mStride; | ||
72 | }; // struct AttributeWrapper | ||
73 | |||
74 | |||
75 | 6 | struct GroupWrapper | |
76 | { | ||
77 | GroupWrapper() = default; | ||
78 | |||
79 | void setOffsetOn(openvdb::Index index) { | ||
80 | 61 | mGroup[index] = short(1); | |
81 | 999948 | } | |
82 | |||
83 | void finalize() { } | ||
84 | |||
85 |
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7 | void resize(const size_t n) { mGroup.resize(n, short(0)); } |
86 | size_t size() const { return mGroup.size(); } | ||
87 | |||
88 | std::vector<short>& buffer() { return mGroup; } | ||
89 | |||
90 | private: | ||
91 | std::vector<short> mGroup; | ||
92 | }; // struct GroupWrapper | ||
93 | |||
94 | |||
95 |
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15092341 | struct PointData |
96 | { | ||
97 | int id; | ||
98 | Vec3f position; | ||
99 | Vec3i xyz; | ||
100 | float uniform; | ||
101 | openvdb::Name string; | ||
102 | short group; | ||
103 | |||
104 |
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37398118 | bool operator<(const PointData& other) const { return id < other.id; } |
105 | }; // PointData | ||
106 | |||
107 | |||
108 | // Generate random points by uniformly distributing points | ||
109 | // on a unit-sphere. | ||
110 | inline void | ||
111 | 4 | genPoints(const int numPoints, const double scale, const bool stride, | |
112 | AttributeWrapper<Vec3f>& position, | ||
113 | AttributeWrapper<int>& xyz, | ||
114 | AttributeWrapper<int>& id, | ||
115 | AttributeWrapper<float>& uniform, | ||
116 | AttributeWrapper<openvdb::Name>& string, | ||
117 | GroupWrapper& group) | ||
118 | { | ||
119 | // init | ||
120 | openvdb::math::Random01 randNumber(0); | ||
121 | 4 | const int n = int(std::sqrt(double(numPoints))); | |
122 | 4 | const double xScale = (2.0 * M_PI) / double(n); | |
123 | 4 | const double yScale = M_PI / double(n); | |
124 | |||
125 | double x, y, theta, phi; | ||
126 | openvdb::Vec3f pos; | ||
127 | |||
128 | 4 | position.resize(n*n); | |
129 |
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4 | xyz.resize(stride ? n*n*3 : 1); |
130 | id.resize(n*n); | ||
131 | uniform.resize(n*n); | ||
132 | string.resize(n*n); | ||
133 | group.resize(n*n); | ||
134 | |||
135 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
136 | AttributeWrapper<int>::Handle xyzHandle(xyz); | ||
137 | AttributeWrapper<int>::Handle idHandle(id); | ||
138 | AttributeWrapper<float>::Handle uniformHandle(uniform); | ||
139 | AttributeWrapper<openvdb::Name>::Handle stringHandle(string); | ||
140 | |||
141 | size_t i = 0; | ||
142 | |||
143 | // loop over a [0 to n) x [0 to n) grid. | ||
144 |
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1409 | for (int a = 0; a < n; ++a) { |
145 |
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1081430 | for (int b = 0; b < n; ++b) { |
146 | |||
147 | // jitter, move to random pos. inside the current cell | ||
148 | 1080025 | x = double(a) + randNumber(); | |
149 | 1080025 | y = double(b) + randNumber(); | |
150 | |||
151 | // remap to a lat/long map | ||
152 | 1080025 | theta = y * yScale; // [0 to PI] | |
153 | 1080025 | phi = x * xScale; // [0 to 2PI] | |
154 | |||
155 | // convert to cartesian coordinates on a unit sphere. | ||
156 | // spherical coordinate triplet (r=1, theta, phi) | ||
157 | 1080025 | pos[0] = static_cast<float>(std::sin(theta)*std::cos(phi)*scale); | |
158 | 1080025 | pos[1] = static_cast<float>(std::sin(theta)*std::sin(phi)*scale); | |
159 |
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1080025 | pos[2] = static_cast<float>(std::cos(theta)*scale); |
160 | |||
161 | positionHandle.set(i, /*stride*/0, pos); | ||
162 | idHandle.set(i, /*stride*/0, i); | ||
163 | uniformHandle.set(i, /*stride*/0, 100.0f); | ||
164 | |||
165 |
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1080025 | if (stride) |
166 | { | ||
167 | xyzHandle.set(i, 0, static_cast<int>(i)); | ||
168 | 40000 | xyzHandle.set(i, 1, static_cast<int>(i*i)); | |
169 | 40000 | xyzHandle.set(i, 2, static_cast<int>(i*i*i)); | |
170 | } | ||
171 | |||
172 | // add points with even id to the group | ||
173 |
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1080025 | if ((i % 2) == 0) { |
174 | group.setOffsetOn(static_cast<int>(i)); | ||
175 | 540013 | stringHandle.set(i, /*stride*/0, "testA"); | |
176 | } | ||
177 | else { | ||
178 | 540012 | stringHandle.set(i, /*stride*/0, "testB"); | |
179 | } | ||
180 | |||
181 | 1080025 | i++; | |
182 | } | ||
183 | } | ||
184 | 4 | } | |
185 | |||
186 | |||
187 | //////////////////////////////////////// | ||
188 | |||
189 | |||
190 |
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1 | TEST_F(TestPointConversion, testPointConversion) |
191 | { | ||
192 | // generate points | ||
193 | |||
194 |
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1 | const size_t count(1000000); |
195 | |||
196 | AttributeWrapper<Vec3f> position(1); | ||
197 | AttributeWrapper<int> xyz(1); | ||
198 | AttributeWrapper<int> id(1); | ||
199 | AttributeWrapper<float> uniform(1); | ||
200 | AttributeWrapper<openvdb::Name> string(1); | ||
201 | GroupWrapper group; | ||
202 | |||
203 |
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1 | genPoints(count, /*scale=*/ 100.0, /*stride=*/false, |
204 | position, xyz, id, uniform, string, group); | ||
205 | |||
206 |
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1 | EXPECT_EQ(position.size(), count); |
207 |
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1 | EXPECT_EQ(id.size(), count); |
208 |
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1 | EXPECT_EQ(uniform.size(), count); |
209 |
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1 | EXPECT_EQ(string.size(), count); |
210 |
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1 | EXPECT_EQ(group.size(), count); |
211 | |||
212 | // convert point positions into a Point Data Grid | ||
213 | |||
214 | const float voxelSize = 1.0f; | ||
215 |
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1 | openvdb::math::Transform::Ptr transform(openvdb::math::Transform::createLinearTransform(voxelSize)); |
216 | |||
217 |
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1 | tools::PointIndexGrid::Ptr pointIndexGrid = tools::createPointIndexGrid<tools::PointIndexGrid>(position, *transform); |
218 |
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1 | PointDataGrid::Ptr pointDataGrid = createPointDataGrid<NullCodec, PointDataGrid>(*pointIndexGrid, position, *transform); |
219 | |||
220 | tools::PointIndexTree& indexTree = pointIndexGrid->tree(); | ||
221 | PointDataTree& tree = pointDataGrid->tree(); | ||
222 | |||
223 | // add id and populate | ||
224 | |||
225 |
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1 | appendAttribute<int>(tree, "id"); |
226 |
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1 | populateAttribute<PointDataTree, tools::PointIndexTree, AttributeWrapper<int>>(tree, indexTree, "id", id); |
227 | |||
228 | // add uniform and populate | ||
229 | |||
230 |
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1 | appendAttribute<float>(tree, "uniform"); |
231 |
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2 | populateAttribute<PointDataTree, tools::PointIndexTree, AttributeWrapper<float>>(tree, indexTree, "uniform", uniform); |
232 | |||
233 | // add string and populate | ||
234 | |||
235 |
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2 | appendAttribute<Name>(tree, "string"); |
236 | |||
237 | // reset the descriptors | ||
238 | PointDataTree::LeafIter leafIter = tree.beginLeaf(); | ||
239 | const AttributeSet::Descriptor& descriptor = leafIter->attributeSet().descriptor(); | ||
240 |
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1 | auto newDescriptor = std::make_shared<AttributeSet::Descriptor>(descriptor); |
241 |
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2901 | for (; leafIter; ++leafIter) { |
242 | leafIter->resetDescriptor(newDescriptor); | ||
243 | } | ||
244 | |||
245 |
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1 | populateAttribute<PointDataTree, tools::PointIndexTree, AttributeWrapper<openvdb::Name>>( |
246 | tree, indexTree, "string", string); | ||
247 | |||
248 | // add group and set membership | ||
249 | |||
250 |
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1 | appendGroup(tree, "test"); |
251 |
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1 | setGroup(tree, indexTree, group.buffer(), "test"); |
252 | |||
253 |
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1 | EXPECT_EQ(indexTree.leafCount(), tree.leafCount()); |
254 | |||
255 | // read/write grid to a temp file | ||
256 | |||
257 |
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2 | io::TempFile file; |
258 |
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1 | const std::string filename = file.filename(); |
259 | |||
260 |
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2 | io::File fileOut(filename); |
261 | |||
262 | 1 | GridCPtrVec grids; | |
263 |
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1 | grids.push_back(pointDataGrid); |
264 | |||
265 | ✗ | fileOut.write(grids); | |
266 | |||
267 |
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1 | fileOut.close(); |
268 | |||
269 |
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2 | io::File fileIn(filename); |
270 |
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1 | fileIn.open(); |
271 | |||
272 |
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1 | GridPtrVecPtr readGrids = fileIn.getGrids(); |
273 | |||
274 |
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1 | fileIn.close(); |
275 | |||
276 |
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1 | EXPECT_EQ(readGrids->size(), size_t(1)); |
277 | |||
278 |
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2 | pointDataGrid = GridBase::grid<PointDataGrid>((*readGrids)[0]); |
279 | PointDataTree& inputTree = pointDataGrid->tree(); | ||
280 | |||
281 | // create accessor and iterator for Point Data Tree | ||
282 | |||
283 | PointDataTree::LeafCIter leafCIter = inputTree.cbeginLeaf(); | ||
284 | |||
285 |
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1 | EXPECT_EQ(5, int(leafCIter->attributeSet().size())); |
286 | |||
287 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("id") != AttributeSet::INVALID_POS); |
288 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("uniform") != AttributeSet::INVALID_POS); |
289 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("P") != AttributeSet::INVALID_POS); |
290 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("string") != AttributeSet::INVALID_POS); |
291 | |||
292 |
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1 | const auto idIndex = static_cast<Index>(leafCIter->attributeSet().find("id")); |
293 |
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1 | const auto uniformIndex = static_cast<Index>(leafCIter->attributeSet().find("uniform")); |
294 |
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1 | const auto stringIndex = static_cast<Index>(leafCIter->attributeSet().find("string")); |
295 | const AttributeSet::Descriptor::GroupIndex groupIndex = | ||
296 |
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2 | leafCIter->attributeSet().groupIndex("test"); |
297 | |||
298 | // convert back into linear point attribute data | ||
299 | |||
300 | AttributeWrapper<Vec3f> outputPosition(1); | ||
301 | AttributeWrapper<int> outputId(1); | ||
302 | AttributeWrapper<float> outputUniform(1); | ||
303 | AttributeWrapper<openvdb::Name> outputString(1); | ||
304 | GroupWrapper outputGroup; | ||
305 | |||
306 | // test offset the whole point block by an arbitrary amount | ||
307 | |||
308 | Index64 startOffset = 10; | ||
309 | |||
310 |
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1 | outputPosition.resize(startOffset + position.size()); |
311 |
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1 | outputId.resize(startOffset + id.size()); |
312 |
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1 | outputUniform.resize(startOffset + uniform.size()); |
313 |
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1 | outputString.resize(startOffset + string.size()); |
314 |
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1 | outputGroup.resize(startOffset + group.size()); |
315 | |||
316 | 1 | std::vector<Name> includeGroups; | |
317 | 1 | std::vector<Name> excludeGroups; | |
318 | |||
319 | std::vector<Index64> offsets; | ||
320 |
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2 | MultiGroupFilter filter(includeGroups, excludeGroups, inputTree.cbeginLeaf()->attributeSet()); |
321 |
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1 | pointOffsets(offsets, inputTree, filter); |
322 | |||
323 |
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1 | convertPointDataGridPosition(outputPosition, *pointDataGrid, offsets, startOffset, filter); |
324 |
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1 | convertPointDataGridAttribute(outputId, inputTree, offsets, startOffset, idIndex, 1, filter); |
325 |
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1 | convertPointDataGridAttribute(outputUniform, inputTree, offsets, startOffset, uniformIndex, 1, filter); |
326 |
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1 | convertPointDataGridAttribute(outputString, inputTree, offsets, startOffset, stringIndex, 1, filter); |
327 |
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1 | convertPointDataGridGroup(outputGroup, inputTree, offsets, startOffset, groupIndex, filter); |
328 | |||
329 | // pack and sort the new buffers based on id | ||
330 | |||
331 |
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2 | std::vector<PointData> pointData(count); |
332 | |||
333 |
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1000001 | for (unsigned int i = 0; i < count; i++) { |
334 |
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1000000 | pointData[i].id = outputId.buffer()[startOffset + i]; |
335 | 1000000 | pointData[i].position = outputPosition.buffer()[startOffset + i]; | |
336 | 1000000 | pointData[i].uniform = outputUniform.buffer()[startOffset + i]; | |
337 |
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1000000 | pointData[i].string = outputString.buffer()[startOffset + i]; |
338 | 1000000 | pointData[i].group = outputGroup.buffer()[startOffset + i]; | |
339 | } | ||
340 | |||
341 | 1 | std::sort(pointData.begin(), pointData.end()); | |
342 | |||
343 | // compare old and new buffers | ||
344 | |||
345 |
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1000001 | for (unsigned int i = 0; i < count; i++) |
346 | { | ||
347 |
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1000000 | EXPECT_EQ(id.buffer()[i], pointData[i].id); |
348 |
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1000000 | EXPECT_EQ(group.buffer()[i], pointData[i].group); |
349 |
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1000000 | EXPECT_EQ(uniform.buffer()[i], pointData[i].uniform); |
350 |
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1000000 | EXPECT_EQ(string.buffer()[i], pointData[i].string); |
351 |
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1000000 | EXPECT_NEAR(position.buffer()[i].x(), pointData[i].position.x(), /*tolerance=*/1e-6); |
352 |
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1000000 | EXPECT_NEAR(position.buffer()[i].y(), pointData[i].position.y(), /*tolerance=*/1e-6); |
353 |
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1000000 | EXPECT_NEAR(position.buffer()[i].z(), pointData[i].position.z(), /*tolerance=*/1e-6); |
354 | } | ||
355 | |||
356 | // convert based on even group | ||
357 | |||
358 | const size_t halfCount = count / 2; | ||
359 | |||
360 | outputPosition.resize(startOffset + halfCount); | ||
361 | outputId.resize(startOffset + halfCount); | ||
362 | outputUniform.resize(startOffset + halfCount); | ||
363 | outputString.resize(startOffset + halfCount); | ||
364 | outputGroup.resize(startOffset + halfCount); | ||
365 | |||
366 |
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2 | includeGroups.push_back("test"); |
367 | |||
368 | offsets.clear(); | ||
369 |
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2 | MultiGroupFilter filter2(includeGroups, excludeGroups, inputTree.cbeginLeaf()->attributeSet()); |
370 |
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1 | pointOffsets(offsets, inputTree, filter2); |
371 | |||
372 |
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1 | convertPointDataGridPosition(outputPosition, *pointDataGrid, offsets, startOffset, filter2); |
373 |
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1 | convertPointDataGridAttribute(outputId, inputTree, offsets, startOffset, idIndex, /*stride*/1, filter2); |
374 |
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1 | convertPointDataGridAttribute(outputUniform, inputTree, offsets, startOffset, uniformIndex, /*stride*/1, filter2); |
375 |
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1 | convertPointDataGridAttribute(outputString, inputTree, offsets, startOffset, stringIndex, /*stride*/1, filter2); |
376 |
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1 | convertPointDataGridGroup(outputGroup, inputTree, offsets, startOffset, groupIndex, filter2); |
377 | |||
378 |
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1 | EXPECT_EQ(size_t(outputPosition.size() - startOffset), size_t(halfCount)); |
379 |
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1 | EXPECT_EQ(size_t(outputId.size() - startOffset), size_t(halfCount)); |
380 |
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1 | EXPECT_EQ(size_t(outputUniform.size() - startOffset), size_t(halfCount)); |
381 |
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1 | EXPECT_EQ(size_t(outputString.size() - startOffset), size_t(halfCount)); |
382 |
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1 | EXPECT_EQ(size_t(outputGroup.size() - startOffset), size_t(halfCount)); |
383 | |||
384 | pointData.clear(); | ||
385 | |||
386 |
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500001 | for (unsigned int i = 0; i < halfCount; i++) { |
387 | PointData data; | ||
388 |
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500000 | data.id = outputId.buffer()[startOffset + i]; |
389 | 500000 | data.position = outputPosition.buffer()[startOffset + i]; | |
390 |
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500000 | data.uniform = outputUniform.buffer()[startOffset + i]; |
391 | data.string = outputString.buffer()[startOffset + i]; | ||
392 | 500000 | data.group = outputGroup.buffer()[startOffset + i]; | |
393 |
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500000 | pointData.push_back(data); |
394 | } | ||
395 | |||
396 | 1 | std::sort(pointData.begin(), pointData.end()); | |
397 | |||
398 | // compare old and new buffers | ||
399 | |||
400 |
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500001 | for (unsigned int i = 0; i < halfCount; i++) |
401 | { | ||
402 |
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500000 | EXPECT_EQ(id.buffer()[i*2], pointData[i].id); |
403 |
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500000 | EXPECT_EQ(group.buffer()[i*2], pointData[i].group); |
404 |
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500000 | EXPECT_EQ(uniform.buffer()[i*2], pointData[i].uniform); |
405 |
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500000 | EXPECT_EQ(string.buffer()[i*2], pointData[i].string); |
406 |
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500000 | EXPECT_NEAR(position.buffer()[i*2].x(), pointData[i].position.x(), /*tolerance=*/1e-6); |
407 |
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500000 | EXPECT_NEAR(position.buffer()[i*2].y(), pointData[i].position.y(), /*tolerance=*/1e-6); |
408 |
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500000 | EXPECT_NEAR(position.buffer()[i*2].z(), pointData[i].position.z(), /*tolerance=*/1e-6); |
409 | } | ||
410 | |||
411 |
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1 | file.close(); |
412 | 1 | std::remove(filename.c_str()); | |
413 | 1 | } | |
414 | |||
415 | |||
416 | //////////////////////////////////////// | ||
417 | |||
418 | |||
419 |
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1 | TEST_F(TestPointConversion, testPointConversionNans) |
420 | { | ||
421 | // generate points | ||
422 | |||
423 |
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1 | const size_t count(25); |
424 | |||
425 | AttributeWrapper<Vec3f> position(1); | ||
426 | AttributeWrapper<int> xyz(1); | ||
427 | AttributeWrapper<int> id(1); | ||
428 | AttributeWrapper<float> uniform(1); | ||
429 | AttributeWrapper<openvdb::Name> string(1); | ||
430 | GroupWrapper group; | ||
431 | |||
432 |
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1 | genPoints(count, /*scale=*/ 1.0, /*stride=*/false, |
433 | position, xyz, id, uniform, string, group); | ||
434 | |||
435 | // set point numbers 0, 10, 20 and 24 to a nan position | ||
436 | |||
437 |
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1 | const std::vector<int> nanIndices = { 0, 10, 20, 24 }; |
438 | |||
439 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
440 | const Vec3f nanPos(std::nan("0")); | ||
441 |
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1 | EXPECT_TRUE(nanPos.isNan()); |
442 |
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5 | for (const int& idx : nanIndices) { |
443 | 4 | positionHandle.set(idx, /*stride*/0, nanPos); | |
444 | } | ||
445 | |||
446 |
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1 | EXPECT_EQ(count, position.size()); |
447 |
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1 | EXPECT_EQ(count, id.size()); |
448 |
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1 | EXPECT_EQ(count, uniform.size()); |
449 |
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1 | EXPECT_EQ(count, string.size()); |
450 |
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1 | EXPECT_EQ(count, group.size()); |
451 | |||
452 | // convert point positions into a Point Data Grid | ||
453 | |||
454 | openvdb::math::Transform::Ptr transform = | ||
455 |
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1 | openvdb::math::Transform::createLinearTransform(/*voxelsize*/1.0f); |
456 | |||
457 |
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1 | tools::PointIndexGrid::Ptr pointIndexGrid = tools::createPointIndexGrid<tools::PointIndexGrid>(position, *transform); |
458 |
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1 | PointDataGrid::Ptr pointDataGrid = createPointDataGrid<NullCodec, PointDataGrid>(*pointIndexGrid, position, *transform); |
459 | |||
460 | tools::PointIndexTree& indexTree = pointIndexGrid->tree(); | ||
461 | PointDataTree& tree = pointDataGrid->tree(); | ||
462 | |||
463 | // set expected point count to the total minus the number of nan positions | ||
464 | 1 | const size_t expected = count - nanIndices.size(); | |
465 |
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1 | EXPECT_EQ(expected, static_cast<size_t>(pointCount(tree))); |
466 | |||
467 | // add id and populate | ||
468 | |||
469 |
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1 | appendAttribute<int>(tree, "id"); |
470 |
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1 | populateAttribute<PointDataTree, tools::PointIndexTree, AttributeWrapper<int>>(tree, indexTree, "id", id); |
471 | |||
472 | // add uniform and populate | ||
473 | |||
474 |
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1 | appendAttribute<float>(tree, "uniform"); |
475 |
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2 | populateAttribute<PointDataTree, tools::PointIndexTree, AttributeWrapper<float>>(tree, indexTree, "uniform", uniform); |
476 | |||
477 | // add string and populate | ||
478 | |||
479 |
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2 | appendAttribute<Name>(tree, "string"); |
480 |
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1 | populateAttribute<PointDataTree, tools::PointIndexTree, AttributeWrapper<openvdb::Name>>( |
481 | tree, indexTree, "string", string); | ||
482 | |||
483 | // add group and set membership | ||
484 | |||
485 |
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1 | appendGroup(tree, "test"); |
486 |
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2 | setGroup(tree, indexTree, group.buffer(), "test"); |
487 | |||
488 | // create accessor and iterator for Point Data Tree | ||
489 | |||
490 | const auto leafCIter = tree.cbeginLeaf(); | ||
491 | |||
492 |
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1 | EXPECT_EQ(5, int(leafCIter->attributeSet().size())); |
493 | |||
494 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("id") != AttributeSet::INVALID_POS); |
495 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("uniform") != AttributeSet::INVALID_POS); |
496 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("P") != AttributeSet::INVALID_POS); |
497 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("string") != AttributeSet::INVALID_POS); |
498 | |||
499 |
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1 | const auto idIndex = static_cast<Index>(leafCIter->attributeSet().find("id")); |
500 |
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1 | const auto uniformIndex = static_cast<Index>(leafCIter->attributeSet().find("uniform")); |
501 |
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1 | const auto stringIndex = static_cast<Index>(leafCIter->attributeSet().find("string")); |
502 | const AttributeSet::Descriptor::GroupIndex groupIndex = | ||
503 |
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2 | leafCIter->attributeSet().groupIndex("test"); |
504 | |||
505 | // convert back into linear point attribute data | ||
506 | |||
507 | AttributeWrapper<Vec3f> outputPosition(1); | ||
508 | AttributeWrapper<int> outputId(1); | ||
509 | AttributeWrapper<float> outputUniform(1); | ||
510 | AttributeWrapper<openvdb::Name> outputString(1); | ||
511 | GroupWrapper outputGroup; | ||
512 | |||
513 | outputPosition.resize(position.size()); | ||
514 | outputId.resize(id.size()); | ||
515 | outputUniform.resize(uniform.size()); | ||
516 | outputString.resize(string.size()); | ||
517 | outputGroup.resize(group.size()); | ||
518 | |||
519 | std::vector<Index64> offsets; | ||
520 |
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1 | pointOffsets(offsets, tree); |
521 | |||
522 |
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1 | convertPointDataGridPosition(outputPosition, *pointDataGrid, offsets, 0); |
523 |
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1 | convertPointDataGridAttribute(outputId, tree, offsets, 0, idIndex, 1); |
524 |
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1 | convertPointDataGridAttribute(outputUniform, tree, offsets, 0, uniformIndex, 1); |
525 |
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1 | convertPointDataGridAttribute(outputString, tree, offsets, 0, stringIndex, 1); |
526 |
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1 | convertPointDataGridGroup(outputGroup, tree, offsets, 0, groupIndex); |
527 | |||
528 | // pack and sort the new buffers based on id | ||
529 | |||
530 |
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2 | std::vector<PointData> pointData(expected); |
531 | |||
532 |
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22 | for (unsigned int i = 0; i < expected; i++) { |
533 | 21 | pointData[i].id = outputId.buffer()[i]; | |
534 | 21 | pointData[i].position = outputPosition.buffer()[i]; | |
535 | 21 | pointData[i].uniform = outputUniform.buffer()[i]; | |
536 |
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21 | pointData[i].string = outputString.buffer()[i]; |
537 | 21 | pointData[i].group = outputGroup.buffer()[i]; | |
538 | } | ||
539 | |||
540 | 1 | std::sort(pointData.begin(), pointData.end()); | |
541 | |||
542 | // compare old and new buffers, taking into account the nan position | ||
543 | // which should not have been converted | ||
544 | |||
545 |
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22 | for (unsigned int i = 0; i < expected; ++i) |
546 | { | ||
547 | size_t iOffset = i; | ||
548 |
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105 | for (const int& idx : nanIndices) { |
549 |
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84 | if (int(iOffset) >= idx) iOffset += 1; |
550 | } | ||
551 | |||
552 |
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21 | EXPECT_EQ(id.buffer()[iOffset], pointData[i].id); |
553 |
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21 | EXPECT_EQ(group.buffer()[iOffset], pointData[i].group); |
554 |
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21 | EXPECT_EQ(uniform.buffer()[iOffset], pointData[i].uniform); |
555 |
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21 | EXPECT_EQ(string.buffer()[iOffset], pointData[i].string); |
556 |
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21 | EXPECT_NEAR(position.buffer()[iOffset].x(), pointData[i].position.x(), /*tolerance=*/1e-6); |
557 |
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21 | EXPECT_NEAR(position.buffer()[iOffset].y(), pointData[i].position.y(), /*tolerance=*/1e-6); |
558 |
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21 | EXPECT_NEAR(position.buffer()[iOffset].z(), pointData[i].position.z(), /*tolerance=*/1e-6); |
559 | } | ||
560 | 1 | } | |
561 | |||
562 | |||
563 | //////////////////////////////////////// | ||
564 | |||
565 | |||
566 |
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1 | TEST_F(TestPointConversion, testStride) |
567 | { | ||
568 | // generate points | ||
569 | |||
570 |
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1 | const size_t count(40000); |
571 | |||
572 | AttributeWrapper<Vec3f> position(1); | ||
573 | AttributeWrapper<int> xyz(3); | ||
574 | AttributeWrapper<int> id(1); | ||
575 | AttributeWrapper<float> uniform(1); | ||
576 | AttributeWrapper<openvdb::Name> string(1); | ||
577 | GroupWrapper group; | ||
578 | |||
579 |
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1 | genPoints(count, /*scale=*/ 100.0, /*stride=*/true, |
580 | position, xyz, id, uniform, string, group); | ||
581 | |||
582 |
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1 | EXPECT_EQ(position.size(), count); |
583 |
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1 | EXPECT_EQ(xyz.size(), count*3); |
584 |
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1 | EXPECT_EQ(id.size(), count); |
585 | |||
586 | // convert point positions into a Point Data Grid | ||
587 | |||
588 | const float voxelSize = 1.0f; | ||
589 |
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1 | openvdb::math::Transform::Ptr transform(openvdb::math::Transform::createLinearTransform(voxelSize)); |
590 | |||
591 |
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1 | tools::PointIndexGrid::Ptr pointIndexGrid = tools::createPointIndexGrid<tools::PointIndexGrid>(position, *transform); |
592 |
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1 | PointDataGrid::Ptr pointDataGrid = createPointDataGrid<NullCodec, PointDataGrid>(*pointIndexGrid, position, *transform); |
593 | |||
594 | tools::PointIndexTree& indexTree = pointIndexGrid->tree(); | ||
595 | PointDataTree& tree = pointDataGrid->tree(); | ||
596 | |||
597 | // add id and populate | ||
598 | |||
599 |
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1 | appendAttribute<int>(tree, "id"); |
600 |
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1 | populateAttribute<PointDataTree, tools::PointIndexTree, AttributeWrapper<int>>(tree, indexTree, "id", id); |
601 | |||
602 | // add xyz and populate | ||
603 | |||
604 |
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1 | appendAttribute<int>(tree, "xyz", 0, /*stride=*/3); |
605 |
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2 | populateAttribute<PointDataTree, tools::PointIndexTree, AttributeWrapper<int>>(tree, indexTree, "xyz", xyz, /*stride=*/3); |
606 | |||
607 | // create accessor and iterator for Point Data Tree | ||
608 | |||
609 | PointDataTree::LeafCIter leafCIter = tree.cbeginLeaf(); | ||
610 | |||
611 |
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1 | EXPECT_EQ(3, int(leafCIter->attributeSet().size())); |
612 | |||
613 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("id") != AttributeSet::INVALID_POS); |
614 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("P") != AttributeSet::INVALID_POS); |
615 |
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1 | EXPECT_TRUE(leafCIter->attributeSet().find("xyz") != AttributeSet::INVALID_POS); |
616 | |||
617 |
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1 | const auto idIndex = static_cast<Index>(leafCIter->attributeSet().find("id")); |
618 |
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1 | const auto xyzIndex = static_cast<Index>(leafCIter->attributeSet().find("xyz")); |
619 | |||
620 | // convert back into linear point attribute data | ||
621 | |||
622 | AttributeWrapper<Vec3f> outputPosition(1); | ||
623 | AttributeWrapper<int> outputXyz(3); | ||
624 | AttributeWrapper<int> outputId(1); | ||
625 | |||
626 | // test offset the whole point block by an arbitrary amount | ||
627 | |||
628 | Index64 startOffset = 10; | ||
629 | |||
630 |
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1 | outputPosition.resize(startOffset + position.size()); |
631 |
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1 | outputXyz.resize((startOffset + id.size())*3); |
632 |
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1 | outputId.resize(startOffset + id.size()); |
633 | |||
634 | std::vector<Index64> offsets; | ||
635 |
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1 | pointOffsets(offsets, tree); |
636 | |||
637 |
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1 | convertPointDataGridPosition(outputPosition, *pointDataGrid, offsets, startOffset); |
638 |
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1 | convertPointDataGridAttribute(outputId, tree, offsets, startOffset, idIndex); |
639 |
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1 | convertPointDataGridAttribute(outputXyz, tree, offsets, startOffset, xyzIndex, /*stride=*/3); |
640 | |||
641 | // pack and sort the new buffers based on id | ||
642 | |||
643 | 1 | std::vector<PointData> pointData; | |
644 | |||
645 |
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1 | pointData.resize(count); |
646 | |||
647 |
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40001 | for (unsigned int i = 0; i < count; i++) { |
648 | 40000 | pointData[i].id = outputId.buffer()[startOffset + i]; | |
649 | 40000 | pointData[i].position = outputPosition.buffer()[startOffset + i]; | |
650 |
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160000 | for (unsigned int j = 0; j < 3; j++) { |
651 | 120000 | pointData[i].xyz[j] = outputXyz.buffer()[startOffset * 3 + i * 3 + j]; | |
652 | } | ||
653 | } | ||
654 | |||
655 | 1 | std::sort(pointData.begin(), pointData.end()); | |
656 | |||
657 | // compare old and new buffers | ||
658 | |||
659 |
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40001 | for (unsigned int i = 0; i < count; i++) |
660 | { | ||
661 |
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40000 | EXPECT_EQ(id.buffer()[i], pointData[i].id); |
662 |
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40000 | EXPECT_NEAR(position.buffer()[i].x(), pointData[i].position.x(), /*tolerance=*/1e-6); |
663 |
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40000 | EXPECT_NEAR(position.buffer()[i].y(), pointData[i].position.y(), /*tolerance=*/1e-6); |
664 |
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40000 | EXPECT_NEAR(position.buffer()[i].z(), pointData[i].position.z(), /*tolerance=*/1e-6); |
665 |
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40000 | EXPECT_EQ(Vec3i(xyz.buffer()[i*3], xyz.buffer()[i*3+1], xyz.buffer()[i*3+2]), pointData[i].xyz); |
666 | } | ||
667 | 1 | } | |
668 | |||
669 | |||
670 | //////////////////////////////////////// | ||
671 | |||
672 | |||
673 |
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1 | TEST_F(TestPointConversion, testComputeVoxelSize) |
674 | { | ||
675 | struct Local { | ||
676 | |||
677 | 6 | static PointDataGrid::Ptr genPointsGrid(const float voxelSize, const AttributeWrapper<Vec3f>& positions) | |
678 | { | ||
679 | 6 | math::Transform::Ptr transform(math::Transform::createLinearTransform(voxelSize)); | |
680 |
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6 | tools::PointIndexGrid::Ptr pointIndexGrid = tools::createPointIndexGrid<tools::PointIndexGrid>(positions, *transform); |
681 |
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12 | return createPointDataGrid<NullCodec, PointDataGrid>(*pointIndexGrid, positions, *transform); |
682 | } | ||
683 | }; | ||
684 | |||
685 | // minimum and maximum voxel sizes | ||
686 | |||
687 | 1 | const auto minimumVoxelSize = static_cast<float>(math::Pow(double(3e-15), 1.0/3.0)); | |
688 | const auto maximumVoxelSize = | ||
689 | 1 | static_cast<float>(math::Pow(double(std::numeric_limits<float>::max()), 1.0/3.0)); | |
690 | |||
691 | AttributeWrapper<Vec3f> position(/*stride*/1); | ||
692 | AttributeWrapper<Vec3d> positionD(/*stride*/1); | ||
693 | |||
694 | // test with no positions | ||
695 | |||
696 | { | ||
697 |
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1 | const float voxelSize = computeVoxelSize(position, /*points per voxel*/8); |
698 |
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1 | EXPECT_EQ(voxelSize, 0.1f); |
699 | } | ||
700 | |||
701 | // test with one point | ||
702 | |||
703 | { | ||
704 | position.resize(1); | ||
705 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
706 | 1 | positionHandle.set(0, 0, Vec3f(0.0f)); | |
707 | |||
708 |
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1 | const float voxelSize = computeVoxelSize(position, /*points per voxel*/8); |
709 |
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1 | EXPECT_EQ(voxelSize, 0.1f); |
710 | } | ||
711 | |||
712 | // test with n points, where n > 1 && n <= num points per voxel | ||
713 | |||
714 | { | ||
715 | position.resize(7); | ||
716 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
717 | 1 | positionHandle.set(0, 0, Vec3f(-8.6f, 0.0f,-23.8f)); | |
718 | 1 | positionHandle.set(1, 0, Vec3f( 8.6f, 7.8f, 23.8f)); | |
719 | |||
720 |
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6 | for (size_t i = 2; i < 7; ++ i) |
721 | 5 | positionHandle.set(i, 0, Vec3f(0.0f)); | |
722 | |||
723 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/8); |
724 |
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1 | EXPECT_NEAR(18.5528f, voxelSize, /*tolerance=*/1e-4); |
725 | |||
726 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
727 |
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1 | EXPECT_NEAR(5.51306f, voxelSize, /*tolerance=*/1e-4); |
728 | |||
729 | // test decimal place accuracy | ||
730 | |||
731 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1, math::Mat4d::identity(), 10); |
732 |
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1 | EXPECT_NEAR(5.5130610466f, voxelSize, /*tolerance=*/1e-9); |
733 | |||
734 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1, math::Mat4d::identity(), 1); |
735 |
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1 | EXPECT_EQ(5.5f, voxelSize); |
736 | |||
737 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1, math::Mat4d::identity(), 0); |
738 |
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1 | EXPECT_EQ(6.0f, voxelSize); |
739 | } | ||
740 | |||
741 | // test coplanar points (Y=0) | ||
742 | |||
743 | { | ||
744 | position.resize(5); | ||
745 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
746 | 1 | positionHandle.set(0, 0, Vec3f(0.0f, 0.0f, 10.0f)); | |
747 | 1 | positionHandle.set(1, 0, Vec3f(0.0f, 0.0f, -10.0f)); | |
748 | 1 | positionHandle.set(2, 0, Vec3f(20.0f, 0.0f, -10.0f)); | |
749 | 1 | positionHandle.set(3, 0, Vec3f(20.0f, 0.0f, 10.0f)); | |
750 | 1 | positionHandle.set(4, 0, Vec3f(10.0f, 0.0f, 0.0f)); | |
751 | |||
752 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/5); |
753 |
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1 | EXPECT_NEAR(20.0f, voxelSize, /*tolerance=*/1e-4); |
754 | |||
755 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
756 |
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1 | EXPECT_NEAR(11.696f, voxelSize, /*tolerance=*/1e-4); |
757 | } | ||
758 | |||
759 | // test collinear points (X=0, Y=0) | ||
760 | |||
761 | { | ||
762 | position.resize(5); | ||
763 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
764 | 1 | positionHandle.set(0, 0, Vec3f(0.0f, 0.0f, 10.0f)); | |
765 | 1 | positionHandle.set(1, 0, Vec3f(0.0f, 0.0f, -10.0f)); | |
766 | 1 | positionHandle.set(2, 0, Vec3f(0.0f, 0.0f, -10.0f)); | |
767 | 1 | positionHandle.set(3, 0, Vec3f(0.0f, 0.0f, 10.0f)); | |
768 | 1 | positionHandle.set(4, 0, Vec3f(0.0f, 0.0f, 0.0f)); | |
769 | |||
770 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/5); |
771 |
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1 | EXPECT_NEAR(20.0f, voxelSize, /*tolerance=*/1e-4); |
772 | |||
773 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
774 |
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1 | EXPECT_NEAR(8.32034f, voxelSize, /*tolerance=*/1e-4); |
775 | } | ||
776 | |||
777 | // test min limit collinear points (X=0, Y=0, Z=+/-float min) | ||
778 | |||
779 | { | ||
780 | position.resize(2); | ||
781 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
782 | 1 | positionHandle.set(0, 0, Vec3f(0.0f, 0.0f, -std::numeric_limits<float>::min())); | |
783 | 1 | positionHandle.set(1, 0, Vec3f(0.0f, 0.0f, std::numeric_limits<float>::min())); | |
784 | |||
785 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/2); |
786 |
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1 | EXPECT_NEAR(minimumVoxelSize, voxelSize, /*tolerance=*/1e-4); |
787 | |||
788 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
789 |
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1 | EXPECT_NEAR(minimumVoxelSize, voxelSize, /*tolerance=*/1e-4); |
790 | } | ||
791 | |||
792 | // test max limit collinear points (X=+/-float max, Y=0, Z=0) | ||
793 | |||
794 | { | ||
795 | position.resize(2); | ||
796 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
797 | 1 | positionHandle.set(0, 0, Vec3f(-std::numeric_limits<float>::max(), 0.0f, 0.0f)); | |
798 | 1 | positionHandle.set(1, 0, Vec3f(std::numeric_limits<float>::max(), 0.0f, 0.0f)); | |
799 | |||
800 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/2); |
801 |
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1 | EXPECT_NEAR(maximumVoxelSize, voxelSize, /*tolerance=*/1e-4); |
802 | |||
803 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
804 |
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1 | EXPECT_NEAR(maximumVoxelSize, voxelSize, /*tolerance=*/1e-4); |
805 | } | ||
806 | |||
807 | // max pointsPerVoxel | ||
808 | |||
809 | { | ||
810 | position.resize(2); | ||
811 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
812 | 1 | positionHandle.set(0, 0, Vec3f(0)); | |
813 | 1 | positionHandle.set(1, 0, Vec3f(1)); | |
814 | |||
815 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/std::numeric_limits<uint32_t>::max()); |
816 |
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1 | EXPECT_EQ(voxelSize, 1.0f); |
817 | } | ||
818 | |||
819 | // limits test | ||
820 | |||
821 | { | ||
822 | positionD.resize(2); | ||
823 | AttributeWrapper<Vec3d>::Handle positionHandleD(positionD); | ||
824 | 1 | positionHandleD.set(0, 0, Vec3d(0)); | |
825 | 1 | positionHandleD.set(1, 0, Vec3d(std::numeric_limits<double>::max())); | |
826 | |||
827 |
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1 | float voxelSize = computeVoxelSize(positionD, /*points per voxel*/2); |
828 |
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1 | EXPECT_EQ(voxelSize, maximumVoxelSize); |
829 | } | ||
830 | |||
831 | { | ||
832 | const float smallest(std::numeric_limits<float>::min()); | ||
833 | |||
834 | position.resize(4); | ||
835 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
836 | 1 | positionHandle.set(0, 0, Vec3f(0.0f)); | |
837 | 1 | positionHandle.set(1, 0, Vec3f(smallest)); | |
838 | 1 | positionHandle.set(2, 0, Vec3f(smallest, 0.0f, 0.0f)); | |
839 | 1 | positionHandle.set(3, 0, Vec3f(smallest, 0.0f, smallest)); | |
840 | |||
841 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/4); |
842 |
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1 | EXPECT_EQ(voxelSize, minimumVoxelSize); |
843 | |||
844 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
845 |
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1 | EXPECT_NEAR(minimumVoxelSize, voxelSize, /*tolerance=*/1e-4); |
846 | |||
847 |
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1 | PointDataGrid::Ptr grid = Local::genPointsGrid(voxelSize, position); |
848 |
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1 | EXPECT_EQ(grid->activeVoxelCount(), Index64(1)); |
849 | } | ||
850 | |||
851 | // the smallest possible vector extent that can exist from an input set | ||
852 | // without being clamped to the minimum voxel size | ||
853 | // is Tolerance<Real>::value() + std::numeric_limits<Real>::min() | ||
854 | |||
855 | { | ||
856 | position.resize(2); | ||
857 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
858 | 1 | positionHandle.set(0, 0, Vec3f(0.0f)); | |
859 | 1 | positionHandle.set(1, 0, Vec3f(math::Tolerance<Real>::value() + std::numeric_limits<Real>::min())); | |
860 | |||
861 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
862 |
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1 | EXPECT_EQ(voxelSize, minimumVoxelSize); |
863 | } | ||
864 | |||
865 | // in-between smallest extent and ScaleMap determinant test | ||
866 | |||
867 | { | ||
868 | position.resize(2); | ||
869 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
870 | 1 | positionHandle.set(0, 0, Vec3f(0.0f)); | |
871 | 1 | positionHandle.set(1, 0, Vec3f(math::Tolerance<Real>::value()*1e8 + std::numeric_limits<Real>::min())); | |
872 | |||
873 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
874 |
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1 | EXPECT_EQ(voxelSize, float(math::Pow(double(3e-15), 1.0/3.0))); |
875 | } | ||
876 | |||
877 | { | ||
878 | const float smallValue(1e-5f); | ||
879 | |||
880 | position.resize(300000); | ||
881 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
882 | |||
883 |
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100001 | for (size_t i = 0; i < 100000; ++ i) { |
884 | 100000 | positionHandle.set(i, 0, Vec3f(smallValue*float(i), 0, 0)); | |
885 | 100000 | positionHandle.set(i+100000, 0, Vec3f(0, smallValue*float(i), 0)); | |
886 | 100000 | positionHandle.set(i+200000, 0, Vec3f(0, 0, smallValue*float(i))); | |
887 | } | ||
888 | |||
889 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/10); |
890 |
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1 | EXPECT_NEAR(0.00012f, voxelSize, /*tolerance=*/1e-4); |
891 | |||
892 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
893 |
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1 | EXPECT_NEAR(2e-5, voxelSize, /*tolerance=*/1e-6); |
894 | |||
895 |
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1 | PointDataGrid::Ptr grid = Local::genPointsGrid(voxelSize, position); |
896 |
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1 | EXPECT_EQ(grid->activeVoxelCount(), Index64(150001)); |
897 | |||
898 | // check zero decimal place still returns valid result | ||
899 | |||
900 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1, math::Mat4d::identity(), 0); |
901 |
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1 | EXPECT_NEAR(2e-5, voxelSize, /*tolerance=*/1e-6); |
902 | } | ||
903 | |||
904 | // random position generation within two bounds of equal size. | ||
905 | // This test distributes 1000 points within a 1x1x1 box centered at (0,0,0) | ||
906 | // and another 1000 points within a separate 1x1x1 box centered at (20,20,20). | ||
907 | // Points are randomly positioned however can be defined as having a stochastic | ||
908 | // distribution. Tests that sparsity between these data sets causes no issues | ||
909 | // and that computeVoxelSize produces accurate results | ||
910 | |||
911 | { | ||
912 | position.resize(2000); | ||
913 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
914 | openvdb::math::Random01 randNumber(0); | ||
915 | |||
916 | // positions between -0.5 and 0.5 | ||
917 | |||
918 |
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1001 | for (size_t i = 0; i < 1000; ++ i) { |
919 | 1000 | const Vec3f pos(randNumber() - 0.5f); | |
920 | positionHandle.set(i, 0, pos); | ||
921 | } | ||
922 | |||
923 | // positions between 19.5 and 20.5 | ||
924 | |||
925 |
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1001 | for (size_t i = 1000; i < 2000; ++ i) { |
926 | 1000 | const Vec3f pos(randNumber() - 0.5f + 20.0f); | |
927 | positionHandle.set(i, 0, pos); | ||
928 | } | ||
929 | |||
930 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
931 |
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1 | EXPECT_NEAR(0.00052f, voxelSize, /*tolerance=*/1e-4); |
932 | |||
933 |
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1 | PointDataGrid::Ptr grid = Local::genPointsGrid(voxelSize, position); |
934 | 1 | const auto pointsPerVoxel = static_cast<Index64>( | |
935 |
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1 | math::Round(2000.0f / static_cast<float>(grid->activeVoxelCount()))); |
936 |
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1 | EXPECT_EQ(pointsPerVoxel, Index64(1)); |
937 | } | ||
938 | |||
939 | // random position generation within three bounds of varying size. | ||
940 | // This test distributes 1000 points within a 1x1x1 box centered at (0.5,0.5,0,5) | ||
941 | // another 1000 points within a separate 10x10x10 box centered at (15,15,15) and | ||
942 | // a final 1000 points within a separate 50x50x50 box centered at (75,75,75) | ||
943 | // Points are randomly positioned however can be defined as having a stochastic | ||
944 | // distribution. Tests that sparsity between these data sets causes no issues as | ||
945 | // well as computeVoxelSize producing a good average result | ||
946 | |||
947 | { | ||
948 | position.resize(3000); | ||
949 | AttributeWrapper<Vec3f>::Handle positionHandle(position); | ||
950 | openvdb::math::Random01 randNumber(0); | ||
951 | |||
952 | // positions between 0 and 1 | ||
953 | |||
954 |
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1001 | for (size_t i = 0; i < 1000; ++ i) { |
955 | const Vec3f pos(randNumber()); | ||
956 | positionHandle.set(i, 0, pos); | ||
957 | } | ||
958 | |||
959 | // positions between 10 and 20 | ||
960 | |||
961 |
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1001 | for (size_t i = 1000; i < 2000; ++ i) { |
962 | 1000 | const Vec3f pos((randNumber() * 10.0f) + 10.0f); | |
963 | positionHandle.set(i, 0, pos); | ||
964 | } | ||
965 | |||
966 | // positions between 50 and 100 | ||
967 | |||
968 |
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1001 | for (size_t i = 2000; i < 3000; ++ i) { |
969 | 1000 | const Vec3f pos((randNumber() * 50.0f) + 50.0f); | |
970 | positionHandle.set(i, 0, pos); | ||
971 | } | ||
972 | |||
973 |
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1 | float voxelSize = computeVoxelSize(position, /*points per voxel*/10); |
974 |
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1 | EXPECT_NEAR(0.24758f, voxelSize, /*tolerance=*/1e-3); |
975 | |||
976 |
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1 | PointDataGrid::Ptr grid = Local::genPointsGrid(voxelSize, position); |
977 |
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1 | auto pointsPerVoxel = static_cast<Index64>( |
978 |
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1 | math::Round(3000.0f/ static_cast<float>(grid->activeVoxelCount()))); |
979 |
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1 | EXPECT_TRUE(math::isApproxEqual(pointsPerVoxel, Index64(10), Index64(2))); |
980 | |||
981 |
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1 | voxelSize = computeVoxelSize(position, /*points per voxel*/1); |
982 |
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1 | EXPECT_NEAR(0.00231f, voxelSize, /*tolerance=*/1e-4); |
983 | |||
984 |
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2 | grid = Local::genPointsGrid(voxelSize, position); |
985 | 1 | pointsPerVoxel = static_cast<Index64>( | |
986 |
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1 | math::Round(3000.0f/ static_cast<float>(grid->activeVoxelCount()))); |
987 |
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1 | EXPECT_EQ(pointsPerVoxel, Index64(1)); |
988 | } | ||
989 | |||
990 | // Generate a sphere | ||
991 | // NOTE: The sphere does NOT provide uniform distribution | ||
992 | |||
993 |
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1 | const size_t count(40000); |
994 | |||
995 | position.resize(0); | ||
996 | |||
997 | AttributeWrapper<int> xyz(1); | ||
998 | AttributeWrapper<int> id(1); | ||
999 | AttributeWrapper<float> uniform(1); | ||
1000 | AttributeWrapper<openvdb::Name> string(1); | ||
1001 | GroupWrapper group; | ||
1002 | |||
1003 |
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1 | genPoints(count, /*scale=*/ 100.0, /*stride=*/false, position, xyz, id, uniform, string, group); |
1004 | |||
1005 |
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1 | EXPECT_EQ(position.size(), count); |
1006 |
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1 | EXPECT_EQ(id.size(), count); |
1007 |
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1 | EXPECT_EQ(uniform.size(), count); |
1008 |
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1 | EXPECT_EQ(string.size(), count); |
1009 |
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1 | EXPECT_EQ(group.size(), count); |
1010 | |||
1011 | // test a distributed point set around a sphere | ||
1012 | |||
1013 | { | ||
1014 |
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1 | const float voxelSize = computeVoxelSize(position, /*points per voxel*/2); |
1015 | |||
1016 |
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1 | EXPECT_NEAR(2.6275f, voxelSize, /*tolerance=*/0.01); |
1017 | |||
1018 |
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1 | PointDataGrid::Ptr grid = Local::genPointsGrid(voxelSize, position); |
1019 |
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1 | const Index64 pointsPerVoxel = count / grid->activeVoxelCount(); |
1020 |
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1 | EXPECT_EQ(pointsPerVoxel, Index64(2)); |
1021 | } | ||
1022 | |||
1023 | // test with given target transforms | ||
1024 | |||
1025 | { | ||
1026 | // test that a different scale doesn't change the result | ||
1027 | |||
1028 |
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1 | openvdb::math::Transform::Ptr transform1(openvdb::math::Transform::createLinearTransform(0.33)); |
1029 |
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1 | openvdb::math::Transform::Ptr transform2(openvdb::math::Transform::createLinearTransform(0.87)); |
1030 | |||
1031 | math::UniformScaleMap::ConstPtr scaleMap1 = transform1->constMap<math::UniformScaleMap>(); | ||
1032 | math::UniformScaleMap::ConstPtr scaleMap2 = transform2->constMap<math::UniformScaleMap>(); | ||
1033 |
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1 | EXPECT_TRUE(scaleMap1.get()); |
1034 |
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1 | EXPECT_TRUE(scaleMap2.get()); |
1035 | |||
1036 |
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1 | math::AffineMap::ConstPtr affineMap1 = scaleMap1->getAffineMap(); |
1037 |
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1 | math::AffineMap::ConstPtr affineMap2 = scaleMap2->getAffineMap(); |
1038 | |||
1039 |
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1 | float voxelSize1 = computeVoxelSize(position, /*points per voxel*/2, affineMap1->getMat4()); |
1040 |
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1 | float voxelSize2 = computeVoxelSize(position, /*points per voxel*/2, affineMap2->getMat4()); |
1041 |
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1 | EXPECT_EQ(voxelSize1, voxelSize2); |
1042 | |||
1043 | // test that applying a rotation roughly calculates to the same result for this example | ||
1044 | // NOTE: distribution is not uniform | ||
1045 | |||
1046 | // Rotate by 45 degrees in X, Y, Z | ||
1047 | |||
1048 |
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1 | transform1->postRotate(M_PI / 4.0, math::X_AXIS); |
1049 |
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1 | transform1->postRotate(M_PI / 4.0, math::Y_AXIS); |
1050 |
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1 | transform1->postRotate(M_PI / 4.0, math::Z_AXIS); |
1051 | |||
1052 |
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1 | affineMap1 = transform1->constMap<math::AffineMap>(); |
1053 |
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1 | EXPECT_TRUE(affineMap1.get()); |
1054 | |||
1055 |
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1 | float voxelSize3 = computeVoxelSize(position, /*points per voxel*/2, affineMap1->getMat4()); |
1056 |
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1 | EXPECT_NEAR(voxelSize1, voxelSize3, 0.1); |
1057 | |||
1058 | // test that applying a translation roughly calculates to the same result for this example | ||
1059 | |||
1060 |
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1 | transform1->postTranslate(Vec3d(-5.0f, 3.3f, 20.1f)); |
1061 |
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1 | affineMap1 = transform1->constMap<math::AffineMap>(); |
1062 |
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1 | EXPECT_TRUE(affineMap1.get()); |
1063 | |||
1064 |
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1 | float voxelSize4 = computeVoxelSize(position, /*points per voxel*/2, affineMap1->getMat4()); |
1065 |
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1 | EXPECT_NEAR(voxelSize1, voxelSize4, 0.1); |
1066 | } | ||
1067 | 1 | } | |
1068 | |||
1069 |
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1 | TEST_F(TestPointConversion, testPrecision) |
1070 | { | ||
1071 | const double tolerance = math::Tolerance<float>::value(); | ||
1072 | |||
1073 | { // test values far from origin | ||
1074 | const double voxelSize = 0.5; | ||
1075 | const float halfVoxelSize = 0.25f; | ||
1076 | 1 | auto transform = math::Transform::createLinearTransform(voxelSize); | |
1077 | |||
1078 | float onBorder = 1000.0f + halfVoxelSize; // can be represented exactly in floating-point | ||
1079 | float beforeBorder = std::nextafterf(onBorder, /*to=*/0.0f); | ||
1080 | float afterBorder = std::nextafterf(onBorder, /*to=*/2000.0f); | ||
1081 | |||
1082 | const Vec3f positionBefore(beforeBorder, afterBorder, onBorder); | ||
1083 | |||
1084 |
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1 | std::vector<Vec3f> points{positionBefore}; |
1085 | PointAttributeVector<Vec3f> wrapper(points); | ||
1086 | auto pointIndexGrid = tools::createPointIndexGrid<tools::PointIndexGrid>( | ||
1087 |
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1 | wrapper, *transform); |
1088 | |||
1089 | Vec3f positionAfterNull; | ||
1090 | Vec3f positionAfterFixed16; | ||
1091 | |||
1092 | { // null codec | ||
1093 | auto points = createPointDataGrid<NullCodec, PointDataGrid>( | ||
1094 |
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1 | *pointIndexGrid, wrapper, *transform); |
1095 | |||
1096 | auto leafIter = points->tree().cbeginLeaf(); | ||
1097 |
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1 | auto indexIter = leafIter->beginIndexOn(); |
1098 |
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3 | auto handle = AttributeHandle<Vec3f>(leafIter->constAttributeArray("P")); |
1099 | |||
1100 |
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1 | const auto& ijk = indexIter.getCoord(); |
1101 | |||
1102 |
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1 | EXPECT_EQ(ijk.x(), 2000); |
1103 |
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1 | EXPECT_EQ(ijk.y(), 2001); |
1104 |
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1 | EXPECT_EQ(ijk.z(), 2001); // on border value is stored in the higher voxel |
1105 | |||
1106 |
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1 | const Vec3f positionVoxelSpace = handle.get(*indexIter); |
1107 | |||
1108 | // voxel-space range: -0.5f >= value > 0.5f | ||
1109 | |||
1110 |
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1 | EXPECT_TRUE(positionVoxelSpace.x() > 0.49f && positionVoxelSpace.x() < 0.5f); |
1111 |
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1 | EXPECT_TRUE(positionVoxelSpace.y() > -0.5f && positionVoxelSpace.y() < -0.49f); |
1112 |
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1 | EXPECT_TRUE(positionVoxelSpace.z() == -0.5f); // on border value is stored at -0.5f |
1113 | |||
1114 | ✗ | positionAfterNull = Vec3f(transform->indexToWorld(positionVoxelSpace + ijk.asVec3d())); | |
1115 | |||
1116 |
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1 | EXPECT_NEAR(positionAfterNull.x(), positionBefore.x(), tolerance); |
1117 |
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1 | EXPECT_NEAR(positionAfterNull.y(), positionBefore.y(), tolerance); |
1118 |
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1 | EXPECT_NEAR(positionAfterNull.z(), positionBefore.z(), tolerance); |
1119 | } | ||
1120 | |||
1121 | { // fixed 16-bit codec | ||
1122 | auto points = createPointDataGrid<FixedPointCodec<false>, PointDataGrid>( | ||
1123 |
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1 | *pointIndexGrid, wrapper, *transform); |
1124 | |||
1125 | auto leafIter = points->tree().cbeginLeaf(); | ||
1126 |
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1 | auto indexIter = leafIter->beginIndexOn(); |
1127 |
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3 | auto handle = AttributeHandle<Vec3f>(leafIter->constAttributeArray("P")); |
1128 | |||
1129 |
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1 | const auto& ijk = indexIter.getCoord(); |
1130 | |||
1131 |
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1 | EXPECT_EQ(ijk.x(), 2000); |
1132 |
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1 | EXPECT_EQ(ijk.y(), 2001); |
1133 |
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1 | EXPECT_EQ(ijk.z(), 2001); // on border value is stored in the higher voxel |
1134 | |||
1135 |
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1 | const Vec3f positionVoxelSpace = handle.get(*indexIter); |
1136 | |||
1137 | // voxel-space range: -0.5f >= value > 0.5f | ||
1138 | |||
1139 |
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1 | EXPECT_TRUE(positionVoxelSpace.x() > 0.49f && positionVoxelSpace.x() < 0.5f); |
1140 |
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1 | EXPECT_TRUE(positionVoxelSpace.y() > -0.5f && positionVoxelSpace.y() < -0.49f); |
1141 |
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1 | EXPECT_TRUE(positionVoxelSpace.z() == -0.5f); // on border value is stored at -0.5f |
1142 | |||
1143 | 1 | positionAfterFixed16 = Vec3f(transform->indexToWorld( | |
1144 | ✗ | positionVoxelSpace + ijk.asVec3d())); | |
1145 | |||
1146 |
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1 | EXPECT_NEAR(positionAfterFixed16.x(), positionBefore.x(), tolerance); |
1147 |
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1 | EXPECT_NEAR(positionAfterFixed16.y(), positionBefore.y(), tolerance); |
1148 |
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1 | EXPECT_NEAR(positionAfterFixed16.z(), positionBefore.z(), tolerance); |
1149 | } | ||
1150 | |||
1151 | // at this precision null codec == fixed-point 16-bit codec | ||
1152 | |||
1153 |
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1 | EXPECT_EQ(positionAfterNull.x(), positionAfterFixed16.x()); |
1154 |
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1 | EXPECT_EQ(positionAfterNull.y(), positionAfterFixed16.y()); |
1155 |
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1 | EXPECT_EQ(positionAfterNull.z(), positionAfterFixed16.z()); |
1156 | } | ||
1157 | |||
1158 | { // test values near to origin | ||
1159 | const double voxelSize = 0.5; | ||
1160 | const float halfVoxelSize = 0.25f; | ||
1161 | 1 | auto transform = math::Transform::createLinearTransform(voxelSize); | |
1162 | |||
1163 | float onBorder = 0.0f+halfVoxelSize; | ||
1164 | float beforeBorder = std::nextafterf(onBorder, /*to=*/0.0f); | ||
1165 | float afterBorder = std::nextafterf(onBorder, /*to=*/2000.0f); | ||
1166 | |||
1167 | const Vec3f positionBefore(beforeBorder, afterBorder, onBorder); | ||
1168 | |||
1169 |
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1 | std::vector<Vec3f> points{positionBefore}; |
1170 | PointAttributeVector<Vec3f> wrapper(points); | ||
1171 | auto pointIndexGrid = tools::createPointIndexGrid<tools::PointIndexGrid>( | ||
1172 |
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1 | wrapper, *transform); |
1173 | |||
1174 | Vec3f positionAfterNull; | ||
1175 | Vec3f positionAfterFixed16; | ||
1176 | |||
1177 | { // null codec | ||
1178 | auto points = createPointDataGrid<NullCodec, PointDataGrid>( | ||
1179 |
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1 | *pointIndexGrid, wrapper, *transform); |
1180 | |||
1181 | auto leafIter = points->tree().cbeginLeaf(); | ||
1182 |
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1 | auto indexIter = leafIter->beginIndexOn(); |
1183 |
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3 | auto handle = AttributeHandle<Vec3f>(leafIter->constAttributeArray("P")); |
1184 | |||
1185 |
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1 | const auto& ijk = indexIter.getCoord(); |
1186 | |||
1187 |
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1 | EXPECT_EQ(ijk.x(), 0); |
1188 |
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1 | EXPECT_EQ(ijk.y(), 1); |
1189 |
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1 | EXPECT_EQ(ijk.z(), 1); // on border value is stored in the higher voxel |
1190 | |||
1191 |
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1 | const Vec3f positionVoxelSpace = handle.get(*indexIter); |
1192 | |||
1193 | // voxel-space range: -0.5f >= value > 0.5f | ||
1194 | |||
1195 |
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1 | EXPECT_TRUE(positionVoxelSpace.x() > 0.49f && positionVoxelSpace.x() < 0.5f); |
1196 |
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1 | EXPECT_TRUE(positionVoxelSpace.y() > -0.5f && positionVoxelSpace.y() < -0.49f); |
1197 |
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1 | EXPECT_TRUE(positionVoxelSpace.z() == -0.5f); // on border value is stored at -0.5f |
1198 | |||
1199 | ✗ | positionAfterNull = Vec3f(transform->indexToWorld(positionVoxelSpace + ijk.asVec3d())); | |
1200 | |||
1201 |
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1 | EXPECT_NEAR(positionAfterNull.x(), positionBefore.x(), tolerance); |
1202 |
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1 | EXPECT_NEAR(positionAfterNull.y(), positionBefore.y(), tolerance); |
1203 |
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1 | EXPECT_NEAR(positionAfterNull.z(), positionBefore.z(), tolerance); |
1204 | } | ||
1205 | |||
1206 | { // fixed 16-bit codec - at this precision, this codec results in lossy compression | ||
1207 | auto points = createPointDataGrid<FixedPointCodec<false>, PointDataGrid>( | ||
1208 |
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1 | *pointIndexGrid, wrapper, *transform); |
1209 | |||
1210 | auto leafIter = points->tree().cbeginLeaf(); | ||
1211 |
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1 | auto indexIter = leafIter->beginIndexOn(); |
1212 |
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3 | auto handle = AttributeHandle<Vec3f>(leafIter->constAttributeArray("P")); |
1213 | |||
1214 |
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1 | const auto& ijk = indexIter.getCoord(); |
1215 | |||
1216 |
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1 | EXPECT_EQ(ijk.x(), 0); |
1217 |
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1 | EXPECT_EQ(ijk.y(), 1); |
1218 |
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1 | EXPECT_EQ(ijk.z(), 1); // on border value is stored in the higher voxel |
1219 | |||
1220 |
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1 | const Vec3f positionVoxelSpace = handle.get(*indexIter); |
1221 | |||
1222 | // voxel-space range: -0.5f >= value > 0.5f | ||
1223 | |||
1224 |
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1 | EXPECT_TRUE(positionVoxelSpace.x() == 0.5f); // before border is clamped to 0.5f |
1225 |
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1 | EXPECT_TRUE(positionVoxelSpace.y() == -0.5f); // after border is clamped to -0.5f |
1226 |
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1 | EXPECT_TRUE(positionVoxelSpace.z() == -0.5f); // on border is stored at -0.5f |
1227 | |||
1228 | 1 | positionAfterFixed16 = Vec3f(transform->indexToWorld( | |
1229 | ✗ | positionVoxelSpace + ijk.asVec3d())); | |
1230 | |||
1231 | // reduce tolerance to handle lack of precision | ||
1232 | |||
1233 |
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1 | EXPECT_NEAR(positionAfterFixed16.x(), positionBefore.x(), 1e-6); |
1234 |
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1 | EXPECT_NEAR(positionAfterFixed16.y(), positionBefore.y(), 1e-6); |
1235 |
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1 | EXPECT_NEAR(positionAfterFixed16.z(), positionBefore.z(), tolerance); |
1236 | } | ||
1237 | |||
1238 | // only z matches precisely due to lossy compression | ||
1239 | |||
1240 |
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1 | EXPECT_TRUE(positionAfterNull.x() != positionAfterFixed16.x()); |
1241 |
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1 | EXPECT_TRUE(positionAfterNull.y() != positionAfterFixed16.y()); |
1242 |
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1 | EXPECT_EQ(positionAfterNull.z(), positionAfterFixed16.z()); |
1243 | } | ||
1244 | 1 | } | |
1245 | |||
1246 |
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2 | TEST_F(TestPointConversion, testExample) |
1247 | { | ||
1248 | // this is the example from the documentation using both Vec3R and Vec3f | ||
1249 | |||
1250 | { // Vec3R | ||
1251 | // Create a vector with four point positions. | ||
1252 | std::vector<openvdb::Vec3R> positions; | ||
1253 |
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1 | positions.push_back(openvdb::Vec3R(0, 1, 0)); |
1254 |
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1 | positions.push_back(openvdb::Vec3R(1.5, 3.5, 1)); |
1255 |
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1 | positions.push_back(openvdb::Vec3R(-1, 6, -2)); |
1256 |
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1 | positions.push_back(openvdb::Vec3R(1.1, 1.25, 0.06)); |
1257 | |||
1258 | // The VDB Point-Partioner is used when bucketing points and requires a | ||
1259 | // specific interface. For convenience, we use the PointAttributeVector | ||
1260 | // wrapper around an stl vector wrapper here, however it is also possible to | ||
1261 | // write one for a custom data structure in order to match the interface | ||
1262 | // required. | ||
1263 | openvdb::points::PointAttributeVector<openvdb::Vec3R> positionsWrapper(positions); | ||
1264 | |||
1265 | // This method computes a voxel-size to match the number of | ||
1266 | // points / voxel requested. Although it won't be exact, it typically offers | ||
1267 | // a good balance of memory against performance. | ||
1268 | int pointsPerVoxel = 8; | ||
1269 | float voxelSize = | ||
1270 |
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1 | openvdb::points::computeVoxelSize(positionsWrapper, pointsPerVoxel); |
1271 | |||
1272 | // Create a transform using this voxel-size. | ||
1273 | openvdb::math::Transform::Ptr transform = | ||
1274 |
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1 | openvdb::math::Transform::createLinearTransform(voxelSize); |
1275 | |||
1276 | // Create a PointDataGrid containing these four points and using the | ||
1277 | // transform given. This function has two template parameters, (1) the codec | ||
1278 | // to use for storing the position, (2) the grid we want to create | ||
1279 | // (ie a PointDataGrid). | ||
1280 | // We use no compression here for the positions. | ||
1281 | openvdb::points::PointDataGrid::Ptr grid = | ||
1282 | openvdb::points::createPointDataGrid<openvdb::points::NullCodec, | ||
1283 |
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1 | openvdb::points::PointDataGrid>(positions, *transform); |
1284 | |||
1285 | // Set the name of the grid | ||
1286 |
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1 | grid->setName("Points"); |
1287 | |||
1288 | // Create a VDB file object and write out the grid. | ||
1289 |
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4 | openvdb::io::File("mypoints.vdb").write({grid}); |
1290 | |||
1291 | // Create a new VDB file object for reading. | ||
1292 |
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3 | openvdb::io::File newFile("mypoints.vdb"); |
1293 | |||
1294 | // Open the file. This reads the file header, but not any grids. | ||
1295 |
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1 | newFile.open(); |
1296 | |||
1297 | // Read the grid by name. | ||
1298 |
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1 | openvdb::GridBase::Ptr baseGrid = newFile.readGrid("Points"); |
1299 |
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1 | newFile.close(); |
1300 | |||
1301 | // From the example above, "Points" is known to be a PointDataGrid, | ||
1302 | // so cast the generic grid pointer to a PointDataGrid pointer. | ||
1303 |
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1 | grid = openvdb::gridPtrCast<openvdb::points::PointDataGrid>(baseGrid); |
1304 | |||
1305 | std::vector<Vec3R> resultingPositions; | ||
1306 | |||
1307 | // Iterate over all the leaf nodes in the grid. | ||
1308 |
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3 | for (auto leafIter = grid->tree().cbeginLeaf(); leafIter; ++leafIter) { |
1309 | |||
1310 | // Extract the position attribute from the leaf by name (P is position). | ||
1311 | const openvdb::points::AttributeArray& array = | ||
1312 |
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2 | leafIter->constAttributeArray("P"); |
1313 | |||
1314 | // Create a read-only AttributeHandle. Position always uses Vec3f. | ||
1315 |
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4 | openvdb::points::AttributeHandle<openvdb::Vec3f> positionHandle(array); |
1316 | |||
1317 | // Iterate over the point indices in the leaf. | ||
1318 |
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8 | for (auto indexIter = leafIter->beginIndexOn(); indexIter; ++indexIter) { |
1319 | |||
1320 | // Extract the voxel-space position of the point. | ||
1321 |
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4 | openvdb::Vec3f voxelPosition = positionHandle.get(*indexIter); |
1322 | |||
1323 | // Extract the index-space position of the voxel. | ||
1324 |
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4 | const openvdb::Vec3d xyz = indexIter.getCoord().asVec3d(); |
1325 | |||
1326 | // Compute the world-space position of the point. | ||
1327 | openvdb::Vec3f worldPosition = | ||
1328 |
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4 | grid->transform().indexToWorld(voxelPosition + xyz); |
1329 | |||
1330 |
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4 | resultingPositions.push_back(worldPosition); |
1331 | } | ||
1332 | } | ||
1333 | |||
1334 |
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1 | EXPECT_EQ(size_t(4), resultingPositions.size()); |
1335 | |||
1336 | // remap the position order | ||
1337 | |||
1338 | std::vector<size_t> remap; | ||
1339 |
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1 | remap.push_back(1); |
1340 |
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1 | remap.push_back(3); |
1341 |
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1 | remap.push_back(0); |
1342 |
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1 | remap.push_back(2); |
1343 | |||
1344 |
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5 | for (int i = 0; i < 4; i++) { |
1345 |
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4 | EXPECT_NEAR(positions[i].x(), resultingPositions[remap[i]].x(), /*tolerance=*/1e-6); |
1346 |
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4 | EXPECT_NEAR(positions[i].y(), resultingPositions[remap[i]].y(), /*tolerance=*/1e-6); |
1347 |
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4 | EXPECT_NEAR(positions[i].z(), resultingPositions[remap[i]].z(), /*tolerance=*/1e-6); |
1348 | } | ||
1349 | |||
1350 | 1 | remove("mypoints.vdb"); | |
1351 | } | ||
1352 | |||
1353 | { // Vec3f | ||
1354 | // Create a vector with four point positions. | ||
1355 | std::vector<openvdb::Vec3f> positions; | ||
1356 |
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1 | positions.push_back(openvdb::Vec3f(0.0f, 1.0f, 0.0f)); |
1357 |
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1 | positions.push_back(openvdb::Vec3f(1.5f, 3.5f, 1.0f)); |
1358 |
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1 | positions.push_back(openvdb::Vec3f(-1.0f, 6.0f, -2.0f)); |
1359 |
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1 | positions.push_back(openvdb::Vec3f(1.1f, 1.25f, 0.06f)); |
1360 | |||
1361 | // The VDB Point-Partioner is used when bucketing points and requires a | ||
1362 | // specific interface. For convenience, we use the PointAttributeVector | ||
1363 | // wrapper around an stl vector wrapper here, however it is also possible to | ||
1364 | // write one for a custom data structure in order to match the interface | ||
1365 | // required. | ||
1366 | openvdb::points::PointAttributeVector<openvdb::Vec3f> positionsWrapper(positions); | ||
1367 | |||
1368 | // This method computes a voxel-size to match the number of | ||
1369 | // points / voxel requested. Although it won't be exact, it typically offers | ||
1370 | // a good balance of memory against performance. | ||
1371 | int pointsPerVoxel = 8; | ||
1372 | float voxelSize = | ||
1373 |
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1 | openvdb::points::computeVoxelSize(positionsWrapper, pointsPerVoxel); |
1374 | |||
1375 | // Create a transform using this voxel-size. | ||
1376 | openvdb::math::Transform::Ptr transform = | ||
1377 |
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1 | openvdb::math::Transform::createLinearTransform(voxelSize); |
1378 | |||
1379 | // Create a PointDataGrid containing these four points and using the | ||
1380 | // transform given. This function has two template parameters, (1) the codec | ||
1381 | // to use for storing the position, (2) the grid we want to create | ||
1382 | // (ie a PointDataGrid). | ||
1383 | // We use no compression here for the positions. | ||
1384 | openvdb::points::PointDataGrid::Ptr grid = | ||
1385 | openvdb::points::createPointDataGrid<openvdb::points::NullCodec, | ||
1386 |
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1 | openvdb::points::PointDataGrid>(positions, *transform); |
1387 | |||
1388 | // Set the name of the grid | ||
1389 |
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1 | grid->setName("Points"); |
1390 | |||
1391 | // Create a VDB file object and write out the grid. | ||
1392 |
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4 | openvdb::io::File("mypoints.vdb").write({grid}); |
1393 | |||
1394 | // Create a new VDB file object for reading. | ||
1395 |
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3 | openvdb::io::File newFile("mypoints.vdb"); |
1396 | |||
1397 | // Open the file. This reads the file header, but not any grids. | ||
1398 |
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1 | newFile.open(); |
1399 | |||
1400 | // Read the grid by name. | ||
1401 |
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1 | openvdb::GridBase::Ptr baseGrid = newFile.readGrid("Points"); |
1402 |
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1 | newFile.close(); |
1403 | |||
1404 | // From the example above, "Points" is known to be a PointDataGrid, | ||
1405 | // so cast the generic grid pointer to a PointDataGrid pointer. | ||
1406 |
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1 | grid = openvdb::gridPtrCast<openvdb::points::PointDataGrid>(baseGrid); |
1407 | |||
1408 | std::vector<Vec3f> resultingPositions; | ||
1409 | |||
1410 | // Iterate over all the leaf nodes in the grid. | ||
1411 |
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3 | for (auto leafIter = grid->tree().cbeginLeaf(); leafIter; ++leafIter) { |
1412 | |||
1413 | // Extract the position attribute from the leaf by name (P is position). | ||
1414 | const openvdb::points::AttributeArray& array = | ||
1415 |
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2 | leafIter->constAttributeArray("P"); |
1416 | |||
1417 | // Create a read-only AttributeHandle. Position always uses Vec3f. | ||
1418 |
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4 | openvdb::points::AttributeHandle<openvdb::Vec3f> positionHandle(array); |
1419 | |||
1420 | // Iterate over the point indices in the leaf. | ||
1421 |
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12 | for (auto indexIter = leafIter->beginIndexOn(); indexIter; ++indexIter) { |
1422 | |||
1423 | // Extract the voxel-space position of the point. | ||
1424 |
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4 | openvdb::Vec3f voxelPosition = positionHandle.get(*indexIter); |
1425 | |||
1426 | // Extract the index-space position of the voxel. | ||
1427 |
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4 | const openvdb::Vec3d xyz = indexIter.getCoord().asVec3d(); |
1428 | |||
1429 | // Compute the world-space position of the point. | ||
1430 | openvdb::Vec3f worldPosition = | ||
1431 | ✗ | grid->transform().indexToWorld(voxelPosition + xyz); | |
1432 | |||
1433 |
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4 | resultingPositions.push_back(worldPosition); |
1434 | } | ||
1435 | } | ||
1436 | |||
1437 |
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1 | EXPECT_EQ(size_t(4), resultingPositions.size()); |
1438 | |||
1439 | // remap the position order | ||
1440 | |||
1441 | std::vector<size_t> remap; | ||
1442 |
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1 | remap.push_back(1); |
1443 |
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1 | remap.push_back(3); |
1444 |
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1 | remap.push_back(0); |
1445 |
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1 | remap.push_back(2); |
1446 | |||
1447 |
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5 | for (int i = 0; i < 4; i++) { |
1448 |
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4 | EXPECT_NEAR(positions[i].x(), resultingPositions[remap[i]].x(), /*tolerance=*/1e-6f); |
1449 |
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4 | EXPECT_NEAR(positions[i].y(), resultingPositions[remap[i]].y(), /*tolerance=*/1e-6f); |
1450 |
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4 | EXPECT_NEAR(positions[i].z(), resultingPositions[remap[i]].z(), /*tolerance=*/1e-6f); |
1451 | } | ||
1452 | |||
1453 | 1 | remove("mypoints.vdb"); | |
1454 | } | ||
1455 | 1 | } | |
1456 |