错误：在类型 "blah blah" 的绑定引用中删除限定符以初始化"some other blah blah"

所以，当我在线程外创建"boxes"answers"boxbound"变量时，我会遇到运行时错误，但当我将其移动到线程内的for循环中时，错误就会消失，原因是什么？

void Flyscene::raytraceScene(int width, int height) {
std::cout << "ray tracing ..." << std::endl;
//start of acceleration structure
std::vector<std::vector<Tucano::Face>> boxes = firstBox(mesh);
std::vector<std::vector<Eigen::Vector3f>> boxbounds;
for (int i = 0; i < boxes.size(); i++) {
boxbounds.push_back(getBoxLimits(boxes[i], mesh));
}
/////

// if no width or height passed, use dimensions of current viewport
Eigen::Vector2i image_size(width, height);
if (width == 0 || height == 0) {
image_size = flycamera.getViewportSize();
}

// create 2d vector to hold pixel colors and resize to match image size
vector<vector<Eigen::Vector3f>> pixel_data;
pixel_data.resize(image_size[1]);
for (int i = 0; i < image_size[1]; ++i)
pixel_data[i].resize(image_size[0]);

// origin of the ray is always the camera center
Eigen::Vector3f origin = flycamera.getCenter();
Eigen::Vector3f screen_coords;

// Multi Threading
// Comment this if you don't want multi-threading
//-----------------------------------------------------//
int max_pixels = (image_size[0] * image_size[1]); //width * height
// Get amount of cores of your CPU
int cores = std::thread::hardware_concurrency();
// Keep track of # of pixels (atomic making sure no 2 threads render the same pixel)
volatile std::atomic<std::size_t> curr_pixel(0);
// Stores all cores assigned to a task
std::vector<std::future<void>> future_vector;
cout << "Threads supported: " << cores << "n";
while (cores--)
future_vector.emplace_back(
std::async([=, &origin, &curr_pixel, &pixel_data]()
{
while (true)
{
int index = curr_pixel++;
if (index >= max_pixels)
break;
std::size_t i = index % image_size[1];
std::size_t j = index / image_size[1];
//cout << "at index: " << index << std::endl;

// create a ray from the camera passing through the pixel (i,j)
auto screen_coords = flycamera.screenToWorld(Eigen::Vector2f(i, j));
// launch raytracing for the given ray and write result to pixel data
pixel_data[i][j] = traceRay(0,origin, screen_coords, boxes, boxbounds);
if (index % 10000 == 0) {
std::cout << "Percentage done (mt): " << (float)(index / 10000) << "%" << std::endl;
}
}
}));
// Call futures (Async jobs), this will activate all process on the cores
for (auto& e : future_vector) {
e.get();
}

然而，当我把它像下面一样移到里面时，错误就会消失；

void Flyscene::raytraceScene(int width, int height) {
std::cout << "ray tracing ..." << std::endl;

// if no width or height passed, use dimensions of current viewport
Eigen::Vector2i image_size(width, height);
if (width == 0 || height == 0) {
image_size = flycamera.getViewportSize();
}

// create 2d vector to hold pixel colors and resize to match image size
vector<vector<Eigen::Vector3f>> pixel_data;
pixel_data.resize(image_size[1]);
for (int i = 0; i < image_size[1]; ++i)
pixel_data[i].resize(image_size[0]);

// origin of the ray is always the camera center
Eigen::Vector3f origin = flycamera.getCenter();
Eigen::Vector3f screen_coords;

// Multi Threading
// Comment this if you don't want multi-threading
//-----------------------------------------------------//
int max_pixels = (image_size[0] * image_size[1]); //width * height
// Get amount of cores of your CPU
int cores = std::thread::hardware_concurrency();
// Keep track of # of pixels (atomic making sure no 2 threads render the same pixel)
volatile std::atomic<std::size_t> curr_pixel(0);
// Stores all cores assigned to a task
std::vector<std::future<void>> future_vector;
cout << "Threads supported: " << cores << "n";
while (cores--)
future_vector.emplace_back(
std::async([=, &origin, &curr_pixel, &pixel_data]()
{
while (true)
{
int index = curr_pixel++;
if (index >= max_pixels)
break;
std::size_t i = index % image_size[1];
std::size_t j = index / image_size[1];
//cout << "at index: " << index << std::endl;
//start of acceleration structure
std::vector<std::vector<Tucano::Face>> boxes = firstBox(mesh);
std::vector<std::vector<Eigen::Vector3f>> boxbounds;
for (int i = 0; i < boxes.size(); i++) {
boxbounds.push_back(getBoxLimits(boxes[i], mesh));
}
/////

// create a ray from the camera passing through the pixel (i,j)
auto screen_coords = flycamera.screenToWorld(Eigen::Vector2f(i, j));
// launch raytracing for the given ray and write result to pixel data
pixel_data[i][j] = traceRay(0,origin, screen_coords, boxes, boxbounds);
if (index % 10000 == 0) {
std::cout << "Percentage done (mt): " << (float)(index / 10000) << "%" << std::endl;
}
}
}));
// Call futures (Async jobs), this will activate all process on the cores
for (auto& e : future_vector) {
e.get();
}

这里还有rayTrace方法：

Eigen::Vector3f Flyscene::traceRay(int level, Eigen::Vector3f& origin, Eigen::Vector3f& dest, std::vector<std::vector<Tucano::Face>>& boxes, std::vector<std::vector<Eigen::Vector3f>>& boxbounds)

你认为这是为什么？

以下是完整的错误描述：

错误(活动(E0433限定符在类型为"std:：vector>，std:：allocater>>&"的绑定引用中被丢弃到类型为"const std:：vector>，std：：allocater>>"的初始值设定项光线跟踪

类型的绑定引用中丢弃了错误(活动(E0433限定符"std:：vector>，std:：分配器>>&"到类型为"const std:：vector>，std：：分配器>>"的初始值设定项光线跟踪