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127 lines
3.7 KiB
127 lines
3.7 KiB
# Ceres Solver - A fast non-linear least squares minimizer
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# Copyright 2018 Google Inc. All rights reserved.
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# http://ceres-solver.org/
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# * Redistributions of source code must retain the above copyright notice,
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# this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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# * Neither the name of Google Inc. nor the names of its contributors may be
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# used to endorse or promote products derived from this software without
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# specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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# POSSIBILITY OF SUCH DAMAGE.
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#
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# Author: mierle@gmail.com (Keir Mierle)
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EXAMPLE_COPTS = [
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# Needed to silence GFlags complaints.
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"-Wno-sign-compare",
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]
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EXAMPLE_DEPS = [
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"//:ceres",
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"@com_github_eigen_eigen//:eigen",
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"@com_github_gflags_gflags//:gflags",
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]
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cc_binary(
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name = "bundle_adjuster",
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srcs = [
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"bal_problem.cc",
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"bal_problem.h",
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"bundle_adjuster.cc",
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"random.h",
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"snavely_reprojection_error.h",
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],
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copts = EXAMPLE_COPTS,
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deps = EXAMPLE_DEPS,
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)
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cc_binary(
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name = "denoising",
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srcs = [
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"denoising.cc",
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"fields_of_experts.cc",
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"fields_of_experts.h",
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"pgm_image.h",
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],
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copts = EXAMPLE_COPTS,
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deps = EXAMPLE_DEPS,
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)
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cc_binary(
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name = "robot_pose_mle",
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srcs = [
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"random.h",
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"robot_pose_mle.cc",
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],
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copts = EXAMPLE_COPTS,
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deps = EXAMPLE_DEPS,
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)
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SLAM_COPTS = EXAMPLE_COPTS + ["-Iexamples/slam"]
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cc_binary(
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name = "pose_graph_2d",
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srcs = [
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"slam/common/read_g2o.h",
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"slam/pose_graph_2d/angle_local_parameterization.h",
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"slam/pose_graph_2d/normalize_angle.h",
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"slam/pose_graph_2d/pose_graph_2d.cc",
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"slam/pose_graph_2d/pose_graph_2d_error_term.h",
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"slam/pose_graph_2d/types.h",
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],
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copts = SLAM_COPTS,
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deps = EXAMPLE_DEPS,
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)
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cc_binary(
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name = "pose_graph_3d",
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srcs = [
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"slam/common/read_g2o.h",
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"slam/pose_graph_3d/pose_graph_3d.cc",
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"slam/pose_graph_3d/pose_graph_3d_error_term.h",
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"slam/pose_graph_3d/types.h",
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],
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copts = SLAM_COPTS,
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deps = EXAMPLE_DEPS,
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)
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[cc_binary(
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name = example,
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srcs = [example + ".cc"],
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copts = EXAMPLE_COPTS,
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deps = EXAMPLE_DEPS,
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) for example in [
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"circle_fit",
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"curve_fitting",
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"ellipse_approximation",
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"helloworld",
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"helloworld_analytic_diff",
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"helloworld_numeric_diff",
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"libmv_bundle_adjuster",
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"libmv_homography",
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"more_garbow_hillstrom",
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"nist",
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"powell",
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"robust_curve_fitting",
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"rosenbrock",
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"sampled_function/sampled_function",
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"simple_bundle_adjuster",
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]]
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