rules_pcl

Rules for building PCL with bazel.

How to use

In your WORKSPACE.bazel file:

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

http_archive(
    name = "rules_pcl",
    url = "https://github.com/kgreenek/rules_pcl/archive/refs/tags/pcl-1.13.1-v1.tar.gz",
    sha256 = "06d2ed755fbf9ddd30f8bb3ed73f23ee6155d52e742d4e4a278c9458e9a3e17b",
    strip_prefix = "rules_pcl-pcl-1.13.1-v1",
)

load("@rules_pcl//bzl:repositories.bzl", "pcl_repositories")
pcl_repositories()

# NOTE: This must be loaded after the call to pcl_repositories().
load("@rules_pcl//bzl:init_deps.bzl", "pcl_init_deps")
pcl_init_deps()

In your top-level BUILD.bazel file:

load("@rules_pcl//bzl:pcl.bzl", "pcl_config")
pcl_config()

You can customize how pcl is compiled by passing args to the pcl_config() macro, but the defaults will suffice for most. See bzl/pcl.bzl for more info.

To define a target that depends on PCL:

cc_binary(
    name = "example",
    srcs = ["main.cc"],
    deps = ["@pcl//:common"],
)

PCL requires C++14. You can either pass it as an argument to the bazel build command:

bazel build --cxxopt='-std=c++14' //...

Or you can make C++14 the default for all builds by adding this to a file called .bazelrc in your workspace root:

build --cxxopt='-std=c++14'

Or you can update your toolchain to build with C++14.

All sub-modules are currently supported except for the following:

cuda
gpu
outofcore
visualization

An example bazel workspace can be found under the //example directory of this repo.