使用Bazel构建OpenCV代码

时间：2016-01-25 02:38:58

标签： opencv bazel

使用Bazel构建使用OpenCV库的C ++代码的最佳方法是什么？即，BUILD规则是什么样的？

Bazel.io有docs for external dependencies，但不是很清楚。

5 个答案:

答案 0 :(得分：22)

有几种选择。最简单的方法可能是以OpenCV网站建议的方式在本地安装：

NSJSONSerialization

然后将以下内容添加到您的WORKSPACE文件中：

git clone https://github.com/Itseez/opencv.git
cd opencv/
mkdir build install
cd build
cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/path/to/opencv/install ..
make install

使用以下内容在与WORKSPACE相同的目录中创建new_local_repository( name = "opencv", path = "/path/to/opencv/install", build_file = "opencv.BUILD", ) ：

opencv.BUILD

然后您的代码可以依赖cc_library( name = "opencv", srcs = glob(["lib/*.so*"]), hdrs = glob(["include/**/*.hpp"]), includes = ["include"], visibility = ["//visibility:public"], linkstatic = 1, ) 链接到lib /下的.so，并引用include /.下的标题。

但是，这不是非常便携。如果您想要一个便携式解决方案（并且您感觉雄心勃勃），您可以将OpenCV git仓库添加到您的工作区并下载＆amp;建立它。类似的东西：

@opencv//:opencv

并使opencv.BUILD类似：

# WORKSPACE
new_git_repository(
    name = "opencv",
    remote = "https://github.com/Itseez/opencv.git",
    build_file = "opencv.BUILD",
    tag = "3.1.0",
)

然后，您的代码可能依赖于更具体的目标，例如cc_library( name = "core", visibility = ["//visibility:public"], srcs = glob(["modules/core/src/**/*.cpp"]), hdrs = glob([ "modules/core/src/**/*.hpp", "modules/core/include/**/*.hpp"] ) + [":module-includes"], ) genrule( name = "module-includes", cmd = "echo '#define HAVE_OPENCV_CORE' > $@", outs = ["opencv2/opencv_modules.hpp"], ) ... 。

作为第三个选项，您在WORKSPACE文件中声明了cmake和OpenCV，并使用genrule在Bazel内的OpenCV上运行cmake。

答案 1 :(得分：3)

我成功完成@kristina的第一个选择。

  1. 安装opencv：

    git clone https://github.com/Itseez/opencv.git

cd opencv/

mkdir build install

cd build

cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..

make install

  2. 更改WORKSPACE文件（从github克隆的tensorflow / WORKSPACE）

    new_local_repository(

name = "opencv",

path = "/usr/local",

build_file = "opencv.BUILD",

)

  3. 将opencv.BUILD文件放在与WORKSPACE文件相同的位置：

    cc_library(

name = "opencv",

srcs = glob(["lib/*.so*"]),

hdrs = glob(["include/**/*.hpp"]),

includes = ["include"],

visibility = ["//visibility:public"], 

linkstatic = 1,

)

  4. 您可能需要配置opencv libs路径：

    5. 一个。确保您的/etc/ld.so.conf.d/opencv.conf文件包含内容：

        /usr/local/lib

    湾运行命令：

        sudo ldconfig -v

答案 2 :(得分：1)

这就是我为OpenCV 2.4.13.2，core/所做的。这种方法来自opencv源，它改编自@kristina上面接受的答案。

首先要为opencv 2.4版本添加http_archive：

# OpenCV 2.4.13.2
new_http_archive(
    name = "opencv2",
    url = "https://github.com/opencv/opencv/archive/2.4.13.2.zip",
    build_file = "third_party/opencv2.BUILD",
    strip_prefix = "opencv-2.4.13.2",
)

然后，将文件third_party/opencv2.BUILD添加为：

cc_library(
    name = "dynamicuda",
    hdrs = glob([
        "modules/dynamicuda/include/**/*.hpp",
    ]),
    includes = [
        "modules/dynamicuda/include"
    ],
)

cc_library(
    name = "core",
    visibility = ["//visibility:public"],
    srcs = glob(["modules/core/src/**/*.cpp"]),
    hdrs = glob([
        "modules/core/src/**/*.hpp",
        "modules/core/include/**/*.hpp",
     ]) + [
        ":module_includes",
        ":cvconfig",
        ":version_string",
    ],
    copts = [
        "-Imodules/dynamicuda/include",
    ],
    # Note that opencv core requires zlib and pthread to build.
    linkopts = ["-pthread", "-lz"],
    includes = [
        "modules/core/include",
    ],
    deps = [
        ":dynamicuda",
    ],
)

genrule(
    name = "module_includes",
    cmd = "echo '#define HAVE_OPENCV_CORE' > $@",
    outs = ["opencv2/opencv_modules.hpp"],
)

genrule(
    name = "cvconfig",
    outs = ["cvconfig.h"],
    cmd = """
cat > $@ <<"EOF"
// JPEG-2000
#define HAVE_JASPER

// IJG JPEG
#define HAVE_JPEG

// PNG
#define HAVE_PNG

// TIFF
#define HAVE_TIFF

// Compile for 'real' NVIDIA GPU architectures
#define CUDA_ARCH_BIN ""

// NVIDIA GPU features are used
#define CUDA_ARCH_FEATURES ""

// Compile for 'virtual' NVIDIA PTX architectures
#define CUDA_ARCH_PTX ""
EOF"""
)

genrule(
    name = "version_string",
    outs = ["version_string.inc"],
    cmd = """
cat > $@ <<"EOF"
"\\n"
)

请注意，我没有在version_string.inc中添加任何内容。它只是一个C ++字符串文字，不会影响OpenCV的功能。如果您对此文件真的感兴趣，请参阅此example。

在此之后，您应该能够在@opencv2//:core上添加具有依赖关系的目标。

答案 3 :(得分：1)

这是一个最新的解决方案，可与当前bazel（v3.1.0）集一起使用。在这个小项目中，我想构建一个C ++程序，该程序依赖于最新的openCV版本（4.3.0），但仅依赖于一组选定的模块（核心，highgui，imgcodecs，imgproc）。

不需要本地安装openCV，bazel会从github加载所需的文件（尽管即使安装了旧版本的openCV也可以）：

/WORKSPACE文件的内容：

load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")

all_content = """filegroup(name = "all", srcs = glob(["**"]), visibility = ["//visibility:public"])"""

http_archive(
    name = "opencv",
    build_file_content = all_content,
    strip_prefix = "opencv-4.3.0",
    urls = ["https://github.com/opencv/opencv/archive/4.3.0.zip"],
)

http_archive(
    name = "rules_foreign_cc",
    strip_prefix = "rules_foreign_cc-master",
    url = "https://github.com/bazelbuild/rules_foreign_cc/archive/master.zip",
)

load("@rules_foreign_cc//:workspace_definitions.bzl", "rules_foreign_cc_dependencies")

rules_foreign_cc_dependencies()

/BUILD文件的内容：

load("@rules_foreign_cc//tools/build_defs:cmake.bzl", "cmake_external")

cmake_external(
    name = "opencv",
    cmake_options = [
        "-GNinja",
        "-DBUILD_LIST=core,highgui,imgcodecs,imgproc",
    ],
    lib_source = "@opencv//:all",
    make_commands = [
        "ninja",
        "ninja install",
    ],
    out_include_dir = "include/opencv4",
    shared_libraries = [
        "libopencv_core.so",
        "libopencv_highgui.so",
        "libopencv_imgcodecs.so",
        "libopencv_imgproc.so",
    ],
    visibility = ["//visibility:public"],
)

最后，您的目标取决于opencv，在我的情况下，取决于文件/opencv/BUILD：

cc_binary(
    name = "opencv",
    srcs = ["opencv.cpp"],
    data = [
      "LinuxLogo.jpg",
      "WindowsLogo.jpg",
    ],
    deps = ["//:opencv"],
)

如果您想尝试一下，剩下的就是：blackliner/automata 

git clone https://github.com/blackliner/automata.git
cd automata
bazel build ...

答案 4 :(得分：0)

以下是使用Bazel构建的OpenCV和C ++的简单演示：https://github.com/jcju/opencv_bazel_win

您可以在WORKSPACE中设置OpenCV路径并运行：

bazel run //src:main
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