This release deprecated the Parameterization API and the new Manifolds API is to be used instead. This is what was done in the Libmv as part of this change. Additionally, remove the bundling scripts. Nowadays those are only leading to a duplicated work to maintain. No measurable changes on user side is expected.
77 lines
3.4 KiB
C++
77 lines
3.4 KiB
C++
// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2019 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: tbennun@gmail.com (Tal Ben-Nun)
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//
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#ifndef CERES_PUBLIC_NUMERIC_DIFF_OPTIONS_H_
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#define CERES_PUBLIC_NUMERIC_DIFF_OPTIONS_H_
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#include "ceres/internal/disable_warnings.h"
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#include "ceres/internal/export.h"
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namespace ceres {
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// Options pertaining to numeric differentiation (e.g., convergence criteria,
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// step sizes).
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struct CERES_EXPORT NumericDiffOptions {
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// Numeric differentiation step size (multiplied by parameter block's
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// order of magnitude). If parameters are close to zero, the step size
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// is set to sqrt(machine_epsilon).
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double relative_step_size = 1e-6;
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// Initial step size for Ridders adaptive numeric differentiation (multiplied
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// by parameter block's order of magnitude).
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// If parameters are close to zero, Ridders' method sets the step size
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// directly to this value. This parameter is separate from
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// "relative_step_size" in order to set a different default value.
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//
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// Note: For Ridders' method to converge, the step size should be initialized
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// to a value that is large enough to produce a significant change in the
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// function. As the derivative is estimated, the step size decreases.
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double ridders_relative_initial_step_size = 1e-2;
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// Maximal number of adaptive extrapolations (sampling) in Ridders' method.
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int max_num_ridders_extrapolations = 10;
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// Convergence criterion on extrapolation error for Ridders adaptive
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// differentiation. The available error estimation methods are defined in
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// NumericDiffErrorType and set in the "ridders_error_method" field.
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double ridders_epsilon = 1e-12;
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// The factor in which to shrink the step size with each extrapolation in
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// Ridders' method.
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double ridders_step_shrink_factor = 2.0;
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};
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} // namespace ceres
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#include "ceres/internal/reenable_warnings.h"
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#endif // CERES_PUBLIC_NUMERIC_DIFF_OPTIONS_H_
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