在 zig 中使用 opencv，错误：lld-link：未定义的符号：cv：：imread

问：

我正在尝试将 opencv 与 zig 编程语言一起使用，我试图按照我在此 stackoverflow 帖子中阅读的内容使用 zig 语言中的 opencv c++ 库，我创建了一个 opencv_binding.h 文件，其中包含一个名为 doSomething 的简单函数，它只调用 imread 函数

opencv_binding.h：

void doSomething(void);

opencv_binding.cpp：

#include <opencv2/core/core.hpp>
#include <opencv2/imgcodecs/imgcodecs.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>

extern "C" void doSomething(void) {
    cv::Mat image = cv::imread("sample.png", cv::IMREAD_COLOR);

}

build.zig格式：

const std = @import("std");

// Although this function looks imperative, note that its job is to
// declaratively construct a build graph that will be executed by an external
// runner.
pub fn build(b: *std.Build) void {
    // Standard target options allows the person running `zig build` to choose
    // what target to build for. Here we do not override the defaults, which
    // means any target is allowed, and the default is native. Other options
    // for restricting supported target set are available.
    const target = b.standardTargetOptions(.{});

    // Standard optimization options allow the person running `zig build` to select
    // between Debug, ReleaseSafe, ReleaseFast, and ReleaseSmall. Here we do not
    // set a preferred release mode, allowing the user to decide how to optimize.
    const optimize = b.standardOptimizeOption(.{});

    const exe = b.addExecutable(.{
        .name = "opencv_test",
        // In this case the main source file is merely a path, however, in more
        // complicated build scripts, this could be a generated file.
        .root_source_file = .{ .path = "src/main.zig" },
        .target = target,
        .optimize = optimize,
    });

    exe.linkLibC();
    exe.linkLibCpp();
    
    exe.addIncludePath("C:/OpenCV/build/include");
    exe.addLibraryPath("C:/OpenCV/build/x64/vc16/lib");
    exe.linkSystemLibrary("opencv_world470");
    
    exe.addIncludePath("src");
    exe.addCSourceFile("src/opencv_binding.cpp", &.{});

    // This declares intent for the executable to be installed into the
    // standard location when the user invokes the "install" step (the default
    // step when running `zig build`).
    b.installArtifact(exe);

    // This *creates* a Run step in the build graph, to be executed when another
    // step is evaluated that depends on it. The next line below will establish
    // such a dependency.
    const run_cmd = b.addRunArtifact(exe);

    // By making the run step depend on the install step, it will be run from the
    // installation directory rather than directly from within the cache directory.
    // This is not necessary, however, if the application depends on other installed
    // files, this ensures they will be present and in the expected location.
    run_cmd.step.dependOn(b.getInstallStep());

    // This allows the user to pass arguments to the application in the build
    // command itself, like this: `zig build run -- arg1 arg2 etc`
    if (b.args) |args| {
        run_cmd.addArgs(args);
    }

    // This creates a build step. It will be visible in the `zig build --help` menu,
    // and can be selected like this: `zig build run`
    // This will evaluate the `run` step rather than the default, which is "install".
    const run_step = b.step("run", "Run the app");
    run_step.dependOn(&run_cmd.step);

    // Creates a step for unit testing. This only builds the test executable
    // but does not run it.
    const unit_tests = b.addTest(.{
        .root_source_file = .{ .path = "src/main.zig" },
        .target = target,
        .optimize = optimize,
    });

    const run_unit_tests = b.addRunArtifact(unit_tests);

    // Similar to creating the run step earlier, this exposes a `test` step to
    // the `zig build --help` menu, providing a way for the user to request
    // running the unit tests.
    const test_step = b.step("test", "Run unit tests");
    test_step.dependOn(&run_unit_tests.step);
}

注意：这些是我添加到build.zig文件中的行：

    exe.linkLibC();
    exe.linkLibCpp();
    
    exe.addIncludePath("C:/OpenCV/build/include");
    exe.addLibraryPath("C:/OpenCV/build/x64/vc16/lib");
    exe.linkSystemLibrary("opencv_world470");
    
    exe.addIncludePath("src");
    exe.addCSourceFile("src/opencv_binding.cpp", &.{});

在 build.zig 文件中，我链接了 opencv_world.lib 库，但是在编译时出现一些错误：

error: lld-link: undefined symbol: cv::imread(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, int)
error: lld-link: undefined symbol: cv::Mat::~Mat()

我该如何解决这个问题？