GeometryIndexer.h

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// ----------------------------------------------------------------------------
// -                        CloudViewer: www.cloudViewer.org                  -
// ----------------------------------------------------------------------------
// Copyright (c) 2018-2024 www.cloudViewer.org
// SPDX-License-Identifier: MIT
// ----------------------------------------------------------------------------
 
#pragma once
 
#include <Helper.h>
#include <Logging.h>
#include <Timer.h>
 
#include <unordered_map>
 
#include "cloudViewer/core/CUDAUtils.h"
#include "cloudViewer/core/Tensor.h"
#include "cloudViewer/core/TensorCheck.h"
 
namespace cloudViewer {
namespace t {
namespace geometry {
namespace kernel {
 
class TransformIndexer {
public:
    TransformIndexer(const core::Tensor& intrinsics,
                     const core::Tensor& extrinsics,
                     float scale = 1.0f) {
        core::AssertTensorShape(intrinsics, {3, 3});
        core::AssertTensorDtype(intrinsics, core::Float64);
        core::AssertTensorDevice(intrinsics, core::Device("CPU:0"));
        if (!intrinsics.IsContiguous()) {
            utility::LogError("Intrinsics is not contiguous");
        }
 
        core::AssertTensorShape(extrinsics, {4, 4});
        core::AssertTensorDtype(extrinsics, core::Float64);
        core::AssertTensorDevice(extrinsics, core::Device("CPU:0"));
        if (!extrinsics.IsContiguous()) {
            utility::LogError("Extrinsics is not contiguous");
        }
 
        const double* intrinsic_ptr = intrinsics.GetDataPtr<double>();
        const double* extrinsic_ptr = extrinsics.GetDataPtr<double>();
        for (int i = 0; i < 3; ++i) {
            for (int j = 0; j < 4; ++j) {
                extrinsic_[i][j] = extrinsic_ptr[i * 4 + j];
            }
        }
 
        fx_ = intrinsic_ptr[0 * 3 + 0];
        fy_ = intrinsic_ptr[1 * 3 + 1];
        cx_ = intrinsic_ptr[0 * 3 + 2];
        cy_ = intrinsic_ptr[1 * 3 + 2];
        scale_ = scale;
    }
 
    CLOUDVIEWER_HOST_DEVICE void RigidTransform(float x_in,
                                                float y_in,
                                                float z_in,
                                                float* x_out,
                                                float* y_out,
                                                float* z_out) const {
        x_in *= scale_;
        y_in *= scale_;
        z_in *= scale_;
 
        *x_out = x_in * extrinsic_[0][0] + y_in * extrinsic_[0][1] +
                 z_in * extrinsic_[0][2] + extrinsic_[0][3];
        *y_out = x_in * extrinsic_[1][0] + y_in * extrinsic_[1][1] +
                 z_in * extrinsic_[1][2] + extrinsic_[1][3];
        *z_out = x_in * extrinsic_[2][0] + y_in * extrinsic_[2][1] +
                 z_in * extrinsic_[2][2] + extrinsic_[2][3];
    }
 
    CLOUDVIEWER_HOST_DEVICE void Rotate(float x_in,
                                        float y_in,
                                        float z_in,
                                        float* x_out,
                                        float* y_out,
                                        float* z_out) const {
        x_in *= scale_;
        y_in *= scale_;
        z_in *= scale_;
 
        *x_out = x_in * extrinsic_[0][0] + y_in * extrinsic_[0][1] +
                 z_in * extrinsic_[0][2];
        *y_out = x_in * extrinsic_[1][0] + y_in * extrinsic_[1][1] +
                 z_in * extrinsic_[1][2];
        *z_out = x_in * extrinsic_[2][0] + y_in * extrinsic_[2][1] +
                 z_in * extrinsic_[2][2];
    }
 
    CLOUDVIEWER_HOST_DEVICE void Project(float x_in,
                                         float y_in,
                                         float z_in,
                                         float* u_out,
                                         float* v_out) const {
        float inv_z = 1.0f / z_in;
        *u_out = fx_ * x_in * inv_z + cx_;
        *v_out = fy_ * y_in * inv_z + cy_;
    }
 
    CLOUDVIEWER_HOST_DEVICE void Unproject(float u_in,
                                           float v_in,
                                           float d_in,
                                           float* x_out,
                                           float* y_out,
                                           float* z_out) const {
        *x_out = (u_in - cx_) * d_in / fx_;
        *y_out = (v_in - cy_) * d_in / fy_;
        *z_out = d_in;
    }
 
    CLOUDVIEWER_HOST_DEVICE void GetFocalLength(float* fx, float* fy) const {
        *fx = fx_;
        *fy = fy_;
    }
 
    CLOUDVIEWER_HOST_DEVICE void GetCameraPosition(float* x,
                                                   float* y,
                                                   float* z) const {
        *x = extrinsic_[0][3];
        *y = extrinsic_[1][3];
        *z = extrinsic_[2][3];
    }
 
private:
    float extrinsic_[3][4];
 
    float fx_;
    float fy_;
    float cx_;
    float cy_;
 
    float scale_;
};
 
const int64_t MAX_RESOLUTION_DIMS = 4;
 
template <typename index_t>
class TArrayIndexer {
public:
    TArrayIndexer() : ptr_(nullptr), element_byte_size_(0), active_dims_(0) {
        for (index_t i = 0; i < MAX_RESOLUTION_DIMS; ++i) {
            shape_[i] = 0;
        }
    }
 
    TArrayIndexer(const core::Tensor& ndarray, index_t active_dims) {
        if (!ndarray.IsContiguous()) {
            utility::LogError(
                    "Only support contiguous tensors for general operations.");
        }
 
        core::SizeVector shape = ndarray.GetShape();
        index_t n = ndarray.NumDims();
        if (active_dims > MAX_RESOLUTION_DIMS || active_dims > n) {
            utility::LogError(
                    "Tensor shape too large, only <= {} and <= {} array dim is "
                    "supported, but received {}.",
                    MAX_RESOLUTION_DIMS, n, active_dims);
        }
 
        // Leading dimensions are coordinates
        active_dims_ = active_dims;
        for (index_t i = 0; i < active_dims_; ++i) {
            shape_[i] = shape[i];
        }
        // Trailing dimensions are channels
        element_byte_size_ = ndarray.GetDtype().ByteSize();
        for (index_t i = active_dims_; i < n; ++i) {
            element_byte_size_ *= shape[i];
        }
 
        // Fill-in rest to make compiler happy, not actually used.
        for (index_t i = active_dims_; i < MAX_RESOLUTION_DIMS; ++i) {
            shape_[i] = 0;
        }
        ptr_ = const_cast<void*>(ndarray.GetDataPtr());
    }
 
    TArrayIndexer(const core::SizeVector& shape) {
        index_t n = static_cast<index_t>(shape.size());
        if (n > MAX_RESOLUTION_DIMS) {
            utility::LogError(
                    "SizeVector too large, only <= {} is supported, but "
                    "received {}.",
                    MAX_RESOLUTION_DIMS, n);
        }
        active_dims_ = n;
        for (index_t i = 0; i < active_dims_; ++i) {
            shape_[i] = shape[i];
        }
 
        // Fill-in rest to make compiler happy, not actually used.
        for (index_t i = active_dims_; i < MAX_RESOLUTION_DIMS; ++i) {
            shape_[i] = 0;
        }
 
        // Reserved
        element_byte_size_ = 0;
        ptr_ = nullptr;
    }
 
    CLOUDVIEWER_HOST_DEVICE index_t ElementByteSize() {
        return element_byte_size_;
    }
 
    CLOUDVIEWER_HOST_DEVICE index_t NumElements() {
        index_t num_elems = 1;
        for (index_t i = 0; i < active_dims_; ++i) {
            num_elems *= shape_[i];
        }
        return num_elems;
    }
 
    inline CLOUDVIEWER_HOST_DEVICE void CoordToWorkload(
            index_t x_in, index_t y_in, index_t* workload) const {
        *workload = y_in * shape_[1] + x_in;
    }
 
    inline CLOUDVIEWER_HOST_DEVICE void CoordToWorkload(
            index_t x_in, index_t y_in, index_t z_in, index_t* workload) const {
        *workload = (z_in * shape_[1] + y_in) * shape_[2] + x_in;
    }
 
    inline CLOUDVIEWER_HOST_DEVICE void CoordToWorkload(
            index_t x_in,
            index_t y_in,
            index_t z_in,
            index_t t_in,
            index_t* workload) const {
        *workload = ((t_in * shape_[1] + z_in) * shape_[2] + y_in) * shape_[3] +
                    x_in;
    }
 
    inline CLOUDVIEWER_HOST_DEVICE void WorkloadToCoord(index_t workload,
                                                        index_t* x_out,
                                                        index_t* y_out) const {
        *x_out = workload % shape_[1];
        *y_out = workload / shape_[1];
    }
 
    inline CLOUDVIEWER_HOST_DEVICE void WorkloadToCoord(index_t workload,
                                                        index_t* x_out,
                                                        index_t* y_out,
                                                        index_t* z_out) const {
        *x_out = workload % shape_[2];
        workload = (workload - *x_out) / shape_[2];
        *y_out = workload % shape_[1];
        *z_out = workload / shape_[1];
    }
 
    inline CLOUDVIEWER_HOST_DEVICE void WorkloadToCoord(index_t workload,
                                                        index_t* x_out,
                                                        index_t* y_out,
                                                        index_t* z_out,
                                                        index_t* t_out) const {
        *x_out = workload % shape_[3];
        workload = (workload - *x_out) / shape_[3];
        *y_out = workload % shape_[2];
        workload = (workload - *y_out) / shape_[2];
        *z_out = workload % shape_[1];
        *t_out = workload / shape_[1];
    }
 
    inline CLOUDVIEWER_HOST_DEVICE bool InBoundary(float x, float y) const {
        return y >= 0 && x >= 0 && y <= shape_[0] - 1.0f &&
               x <= shape_[1] - 1.0f;
    }
    inline CLOUDVIEWER_HOST_DEVICE bool InBoundary(float x,
                                                   float y,
                                                   float z) const {
        return z >= 0 && y >= 0 && x >= 0 && z <= shape_[0] - 1.0f &&
               y <= shape_[1] - 1.0f && x <= shape_[2] - 1.0f;
    }
    inline CLOUDVIEWER_HOST_DEVICE bool InBoundary(float x,
                                                   float y,
                                                   float z,
                                                   float t) const {
        return t >= 0 && z >= 0 && y >= 0 && x >= 0 && t <= shape_[0] - 1.0f &&
               z <= shape_[1] - 1.0f && y <= shape_[2] - 1.0f &&
               x <= shape_[3] - 1.0f;
    }
 
    inline CLOUDVIEWER_HOST_DEVICE index_t GetShape(int i) const {
        return shape_[i];
    }
 
    inline CLOUDVIEWER_HOST_DEVICE void* GetDataPtr() const { return ptr_; }
 
    template <typename T>
    inline CLOUDVIEWER_HOST_DEVICE T* GetDataPtr(index_t x) const {
        return static_cast<T*>(static_cast<void*>(static_cast<uint8_t*>(ptr_) +
                                                  x * element_byte_size_));
    }
 
    template <typename T>
    inline CLOUDVIEWER_HOST_DEVICE T* GetDataPtr(index_t x, index_t y) const {
        index_t workload;
        CoordToWorkload(x, y, &workload);
        return static_cast<T*>(static_cast<void*>(
                static_cast<uint8_t*>(ptr_) + workload * element_byte_size_));
    }
 
    template <typename T>
    inline CLOUDVIEWER_HOST_DEVICE T* GetDataPtr(index_t x,
                                                 index_t y,
                                                 index_t z) const {
        index_t workload;
        CoordToWorkload(x, y, z, &workload);
        return static_cast<T*>(static_cast<void*>(
                static_cast<uint8_t*>(ptr_) + workload * element_byte_size_));
    }
 
    template <typename T>
    inline CLOUDVIEWER_HOST_DEVICE T* GetDataPtr(index_t x,
                                                 index_t y,
                                                 index_t z,
                                                 index_t t) const {
        index_t workload;
        CoordToWorkload(x, y, z, t, &workload);
        return static_cast<T*>(static_cast<void*>(
                static_cast<uint8_t*>(ptr_) + workload * element_byte_size_));
    }
 
private:
    void* ptr_;
    index_t element_byte_size_;
    index_t active_dims_;
 
    index_t shape_[MAX_RESOLUTION_DIMS];
};
 
using NDArrayIndexer = TArrayIndexer<int64_t>;
 
}  // namespace kernel
}  // namespace geometry
}  // namespace t
}  // namespace cloudViewer