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Smooth normal calculation Update! #941
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efa37a7
Remove wage and store weighted normal instead
cc4a219
Move getAngleWeight to hlsl/shapes/triangle.hlsl
c018762
Refactor erase to resize
42ccf48
Remove parentTriangleFaceNormal from SSNGVertexData
05ee8ed
Refactor getNeighboringCells
f4b8ac6
Slight improvement for readability
0dd02e8
Refactor Radix Sorter and use histogram as skip list
ce99287
Move VertexHashMap into its own file
28f73f5
Refactor smooth normal generator to use VertexHashGrid and separate w…
5acb40d
Fix normal comparison to use dot instead of value by value comparison
0feb4e9
Merge branch 'master' into smooth_normal_calculation
7424828
Fix triangle.hlsl
d078b2c
Rename LSBSorter to RadixLSBSorter
e72e0ef
Add comment for future task
e91aba1
Refactor CVertexHashGrid
509b359
Make radix sort more efficient
a30ef6f
Change type of index in SSNGVertexData
c580d72
Move CanJoinVertices to CVertexWelder
5af4a9b
Move SSNGVertexData and VxCmpFunction to CSmoothNormalGenerator
39e288c
Add comment
c49d8d1
Add overload for CVertexHashGrid::forEachBroadphaseNeighborCandidates…
c688f7b
Add inline specifier to a bunch of method
c521f95
use 0 base indexing for edge and vertex in compInternalAngle
a7aae4d
Iterate backward when gatherin histogram frequency for better cache l…
4a5c490
Refactor CVertexWelder to use abstract class for WeldPredicate instea…
82f9820
Add concept for Vertex Welder AccelerationStructure
401f1bb
Fix virtual destructor for WeldPredicate
9b007d2
Return nullptr if vertex contain INVALID_INDEX
7d31750
Reindent CVertexHashGrid to use tabs
4699173
Reindent CPolygonGeometryManipulator to use TABS
e65297b
Add diagram to explain why we choose cellSize to be twice as epsilon
dbffea5
Improve Diagram
ad0646e
Improve the explanation of VertexHashGrid
60ec970
Improve comment
7ebd7d0
Fix wrong iteration order
087beb8
Fix compInternalAngle
6d4b794
Fix method specifier in radix_sort.h
0cdf7e8
Fix variable and function specifier
4dbcbeb
Fix the patchedEpsilon
ff42165
Remove inline specifier for function that is defined in cpp
94c65b6
Remove forEachBroadphaseNeighborCandidates overload that takes vertex…
38ef627
Add inline specifier for method in CVertexWelder
bfba9fa
Refactor class name for SSNGVertexData
f3d9a19
Add inline specifier for DefaultWeldPredicate constructor and destructor
f5d38f2
Remove outdated TODO
cc39901
Slight refactor for SSNGVertexData alias
1257d4d
Add comment to implement a class template of CVertexHashGrid and CSmo…
d2503af
Add some assert in isAttributeValEqual and isAttributeDirEqual
1386fba
Cache channelCount and byte size in init
ac2ed54
Fix weldVertices
fe55595
Small fixes in CVertexWelder
4391433
fix compiler warning
devshgraphicsprogramming bd102e4
Update CSmoothNormalGenerator.cpp
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,221 @@ | ||
| #ifndef _NBL_ASSET_C_VERTEX_HASH_MAP_H_INCLUDED_ | ||
| #define _NBL_ASSET_C_VERTEX_HASH_MAP_H_INCLUDED_ | ||
|
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| #include "nbl/core/declarations.h" | ||
|
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| namespace nbl::asset | ||
| { | ||
|
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| template <typename T> | ||
| concept HashGridVertexData = requires(T obj, T const cobj, uint32_t hash) { | ||
| { cobj.getHash() } -> std::same_as<uint32_t>; | ||
| { obj.setHash(hash) } -> std::same_as<void>; | ||
| { cobj.getPosition() } -> std::same_as<hlsl::float32_t3>; | ||
| }; | ||
|
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| template <typename Fn, typename T> | ||
| concept HashGridIteratorFn = HashGridVertexData<T> && requires(Fn && fn, T const cobj) | ||
| { | ||
| // return whether hash grid should continue the iteration | ||
| { std::invoke(std::forward<Fn>(fn), cobj) } -> std::same_as<bool>; | ||
| }; | ||
|
|
||
| // TODO: implement a class template that take position type(either float32_t3 or float64_t3 as template argument | ||
| template <HashGridVertexData VertexData> | ||
| class CVertexHashGrid | ||
| { | ||
| public: | ||
|
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||
| using vertex_data_t = VertexData; | ||
| using collection_t = core::vector<VertexData>; | ||
| struct BucketBounds | ||
| { | ||
| collection_t::const_iterator begin; | ||
| collection_t::const_iterator end; | ||
| }; | ||
|
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| inline CVertexHashGrid(float cellSize, uint32_t hashTableMaxSizeLog2, size_t vertexCountReserve = 8192) : | ||
| m_cellSize(cellSize), | ||
| m_hashTableMaxSize(1llu << hashTableMaxSizeLog2), | ||
| m_sorter(createSorter(vertexCountReserve)) | ||
| { | ||
| m_vertices.reserve(vertexCountReserve); | ||
| } | ||
|
|
||
| //inserts vertex into hash table | ||
| inline void add(VertexData&& vertex) | ||
| { | ||
| vertex.setHash(hash(vertex)); | ||
| m_vertices.push_back(std::move(vertex)); | ||
| } | ||
|
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| inline void bake() | ||
| { | ||
| auto scratchBuffer = collection_t(m_vertices.size()); | ||
|
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| auto finalSortedOutput = std::visit( [&](auto& sorter) | ||
| { | ||
| return sorter(m_vertices.data(), scratchBuffer.data(), m_vertices.size(), KeyAccessor()); | ||
| }, m_sorter ); | ||
|
|
||
| if (finalSortedOutput != m_vertices.data()) | ||
| m_vertices = std::move(scratchBuffer); | ||
| } | ||
|
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| inline const collection_t& vertices() const { return m_vertices; } | ||
|
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| inline uint32_t getVertexCount() const { return m_vertices.size(); } | ||
|
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| template <HashGridIteratorFn<VertexData> Fn> | ||
| inline void forEachBroadphaseNeighborCandidates(const hlsl::float32_t3& position, Fn&& fn) const | ||
| { | ||
| std::array<uint32_t, 8> neighboringCells; | ||
| const auto cellCount = getNeighboringCellHashes(neighboringCells.data(), position); | ||
|
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| //iterate among all neighboring cells | ||
| for (uint8_t i = 0; i < cellCount; i++) | ||
| { | ||
| const auto& neighborCell = neighboringCells[i]; | ||
| BucketBounds bounds = getBucketBoundsByHash(neighborCell); | ||
| for (; bounds.begin != bounds.end; bounds.begin++) | ||
| { | ||
| const vertex_data_t& neighborVertex = *bounds.begin; | ||
| if (!std::invoke(std::forward<Fn>(fn), neighborVertex)) break; | ||
| } | ||
| } | ||
| } | ||
|
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||
| private: | ||
| struct KeyAccessor | ||
| { | ||
| constexpr static inline size_t key_bit_count = 32ull; | ||
|
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| template<auto bit_offset, auto radix_mask> | ||
| inline decltype(radix_mask) operator()(const VertexData& item) const | ||
| { | ||
| return static_cast<decltype(radix_mask)>(item.getHash() >> static_cast<uint32_t>(bit_offset)) & radix_mask; | ||
| } | ||
| }; | ||
|
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||
| static constexpr inline uint32_t primeNumber1 = 73856093; | ||
| static constexpr inline uint32_t primeNumber2 = 19349663; | ||
| static constexpr inline uint32_t primeNumber3 = 83492791; | ||
|
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||
| using sorter_t = std::variant< | ||
| core::RadixLsbSorter<KeyAccessor::key_bit_count, uint16_t>, | ||
| core::RadixLsbSorter<KeyAccessor::key_bit_count, uint32_t>, | ||
| core::RadixLsbSorter<KeyAccessor::key_bit_count, size_t>>; | ||
| sorter_t m_sorter; | ||
|
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||
| inline static sorter_t createSorter(size_t vertexCount) | ||
| { | ||
| if (vertexCount < (0x1ull << 16ull)) | ||
| return core::RadixLsbSorter<KeyAccessor::key_bit_count, uint16_t>(); | ||
| if (vertexCount < (0x1ull << 32ull)) | ||
| return core::RadixLsbSorter<KeyAccessor::key_bit_count, uint32_t>(); | ||
| return core::RadixLsbSorter<KeyAccessor::key_bit_count, size_t>(); | ||
| } | ||
|
|
||
| collection_t m_vertices; | ||
| const uint32_t m_hashTableMaxSize; | ||
| const float m_cellSize; | ||
|
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||
| inline uint32_t hash(const VertexData& vertex) const | ||
| { | ||
| const hlsl::float32_t3 position = floor(vertex.getPosition() / m_cellSize); | ||
| const auto position_uint32 = hlsl::uint32_t3(position.x, position.y, position.z); | ||
| return hash(position_uint32); | ||
| } | ||
|
|
||
| inline uint32_t hash(const hlsl::uint32_t3& position) const | ||
| { | ||
| return ((position.x * primeNumber1) ^ | ||
| (position.y * primeNumber2) ^ | ||
| (position.z * primeNumber3))& (m_hashTableMaxSize - 1); | ||
| } | ||
|
|
||
| inline uint8_t getNeighboringCellHashes(uint32_t* outNeighbors, hlsl::float32_t3 position) const | ||
| { | ||
| // We substract the coordinate by 0.5 since the cellSize is expected to be twice the epsilon. This is to snap the vertex into the cell that contain the most bottom left cell that could collide with of our vertex. | ||
| // ------- ------- | ||
| // | | y| | | | | ||
| // | |x | | |y | | ||
| // ------- -> ------- | ||
| // | | | | x| | | ||
| // | | | | | | | ||
| // ------- ------- | ||
| // |2e|e| | ||
| // In the example,x is snapped into a different cell which is the most bottom left cell that could collide with x. Since we have move it into its bottom left candidate, there is no need to check to the bottom and to the left of the snapped coordinate. We only need to check the upper and to the right of the snapped cell, which include the original cell. Note that we do not need to check the upper and to the right of the original cell. The cell size is 2 * epsilon and x is located on the lower and lefter side of the cell. | ||
| // Contrary to x, y is still snapped into its original cell. It means the most bottom left cell that collide with y is its own cell. | ||
| // The above scheme is to reduce the number of cell candidates that we need to check for collision, from 9 cell to 4 cell in 2d, or from 27 cells to 8 cells in 3d. | ||
| // both 0.x and -0.x would be converted to 0 if we directly casting the position to unsigned integer. Causing the 0 to be crowded then the rest of the cells. So we use floor here to spread the vertex more uniformly. | ||
| hlsl::float32_t3 cellfloatcoord = floor(position / m_cellSize - hlsl::float32_t3(0.5)); | ||
| hlsl::uint32_t3 baseCoord = hlsl::uint32_t3(static_cast<uint32_t>(cellfloatcoord.x), static_cast<uint32_t>(cellfloatcoord.y), static_cast<uint32_t>(cellfloatcoord.z)); | ||
|
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| uint8_t neighborCount = 0; | ||
|
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||
| outNeighbors[neighborCount] = hash(baseCoord); | ||
| neighborCount++; | ||
|
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||
| auto addUniqueNeighbor = [&neighborCount, outNeighbors](uint32_t hashval) | ||
| { | ||
| if (std::find(outNeighbors, outNeighbors + neighborCount, hashval) == outNeighbors + neighborCount) | ||
| { | ||
| outNeighbors[neighborCount] = hashval; | ||
| neighborCount++; | ||
| } | ||
| }; | ||
|
|
||
| addUniqueNeighbor(hash(baseCoord + hlsl::uint32_t3(0, 0, 1))); | ||
| addUniqueNeighbor(hash(baseCoord + hlsl::uint32_t3(0, 1, 0))); | ||
| addUniqueNeighbor(hash(baseCoord + hlsl::uint32_t3(1, 0, 0))); | ||
| addUniqueNeighbor(hash(baseCoord + hlsl::uint32_t3(1, 1, 0))); | ||
| addUniqueNeighbor(hash(baseCoord + hlsl::uint32_t3(1, 0, 1))); | ||
| addUniqueNeighbor(hash(baseCoord + hlsl::uint32_t3(0, 1, 1))); | ||
| addUniqueNeighbor(hash(baseCoord + hlsl::uint32_t3(1, 1, 1))); | ||
|
|
||
| return neighborCount; | ||
| } | ||
|
|
||
| inline BucketBounds getBucketBoundsByHash(uint32_t hash) const | ||
| { | ||
| const auto skipListBound = std::visit([&](auto& sorter) | ||
| { | ||
| auto hashBound = sorter.getMostSignificantRadixBound(hash); | ||
| return std::pair<collection_t::const_iterator, collection_t::const_iterator>(m_vertices.begin() + hashBound.first, m_vertices.begin() + hashBound.second); | ||
| }, m_sorter); | ||
|
|
||
| auto begin = std::lower_bound( | ||
| skipListBound.first, | ||
| skipListBound.second, | ||
| hash, | ||
| [](const VertexData& vertex, uint32_t hash) | ||
| { | ||
| return vertex.getHash() < hash; | ||
| }); | ||
|
|
||
| auto end = std::upper_bound( | ||
| skipListBound.first, | ||
| skipListBound.second, | ||
| hash, | ||
| [](uint32_t hash, const VertexData& vertex) | ||
| { | ||
| return hash < vertex.getHash(); | ||
| }); | ||
|
|
||
| const auto beginIx = begin - m_vertices.begin(); | ||
| const auto endIx = end - m_vertices.begin(); | ||
| //bucket missing | ||
| if (begin == end) | ||
| return { m_vertices.end(), m_vertices.end() }; | ||
|
|
||
| //bucket missing | ||
| if (begin->hash != hash) | ||
| return { m_vertices.end(), m_vertices.end() }; | ||
|
|
||
| return { begin, end }; | ||
| } | ||
| }; | ||
|
|
||
| } | ||
| #endif | ||
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