- Updated to new CMake style where function names are all lowercase,
this will be backwards compatible as CMake function names are
case insensitive.
- Updated using Emacs' M-x unscreamify-cmake-buffer.
Change-Id: If7219816f560270e59212813aeb021353a64a0e2
- On at least some compilers, -std=c++11 is required in order to compile
against std::shared_ptr & std::unordered_map, which resulted in our
checks failing to find them and using the TR1 versions instead, which
causes conflicts for users using C++11.
- Now, if the compiler supports it and the user enables the CXX11
option, we explicitly enable C++11 before searching for shared_ptr &
unordered_map, which means we should always find the C++11 versions
if they are available.
- As use of CXX11 results in a version of Ceres that must be used with
-std=c++11 for GCC & Clang, we roll this into the Ceres target when
the version of CMake supports this, otherwise we warn the user they
will have to do this themselves.
- CXX11 is OFF by default, to ensure that the behaviour of Ceres is
unchanged from before.
Change-Id: I157ea7a4fadc6bc02da176b8e771f1f327ccaf78
Since Ceres is moving to using GitHub for issues, and the Google
Code URL in the current copyright header will soon become invalid,
update all the headers.
Change-Id: I1fce70375d1bcf098591f07b4d8f01a5c1e0789c
Example code demonstrates how a sampled function can be
minimized. Also, in the process uncovered some deficiencies
in the CubicInterpolator and BicubicInterpolator interfaces and
fixed them.
Change-Id: I18c8f670fbee076bf1e94d1f45c7477fd71640e8
- At version 2.1, gflags changed from using the google namespace, to
using gflags by default. However, it can be configured at build time
to be something else (which would be google for legacy compatibility
unless you were evil).
- Ceres previously assumed that gflags was in the google namespace.
- Now, FindGFlags.cmake extracts the namespace when gflags.h is found
and saves it in GFLAGS_NAMESPACE.
- When building the tests and examples that require gflags,
CERES_GFLAGS_NAMESPACE is defined to be the detected namespace, and
all tests/examples now use CERES_GFLAGS_NAMESPACE:: instead of
google:: when calling gflags functions.
Change-Id: Ia333df7a7e2f08ba9f26bbd339c3a785b88f04c4
The line search minimizer in Ceres does not require that the
problems that is solving is a sum of squares. Over the past
year there have been multiple requests to expose this algorithm
on its own so that it can be used to solve unconstrained
non-linear minimization problems on its own.
With this change, a new optimization problem called
GradientProblem is introduced which is basically a thin
wrapper around a user defined functor that evaluates cost
and gradients (FirstOrderFunction) and an optional LocalParameterization.
Corresponding to it, a GradientProblemSolver and its associated
options and summary structs are introduced too.
An example that uses the new API to find the minimum of Rosenbrock's
function is also added.
Change-Id: I42bf687540da25de991e9bdb00e321239244e8b4
Add an example application of homography matrix estimation
from a 2D euclidean correspondences which is done in two
steps:
- Coarse algebraic estimation
- Fine refinement using Ceres minimizer
Nothing terribly exciting apart from an example of how to
use user callbacks.
User callback is used here to stop minimizer when average
of symmetric geometric distance becomes good enough.
This might be arguable whether it's the best way to go
(in some cases you would want to stop minimizer when
maximal symmetric distance is lower than a threshold) but
for a callback usage example it's good enough to stick
to current logic.
Change-Id: I60c8559cb10b001a0eb64ab71920c08bd68455b8
- Previously we passed all compile options to Ceres via add_definitions
in CMake. This was fine for private definitions (used only by Ceres)
but required additional work for public definitions to ensure they
were correctly propagated to clients via CMake using
target_compile_definitions() (>= 2.8.11) or add_definitions().
- A drawback to these approaches is that they did not work for chained
dependencies on Ceres, as in if in the users project B <- A <- Ceres,
then although the required Ceres public compile definitions would
be used when compiling A, they would not be propagated to B.
- This patch replaces the addition of compile definitions via
add_definitions() with an autogenerated config.h header which
is installed with Ceres and defines all of the enabled Ceres compile
options.
- This removes the need for the user to propagate any compile
definitions in their projects, and additionally allows post-install
inspect of the options with which Ceres was compiled.
Change-Id: Idbdb6abdad0eb31e7540370e301afe87a07f2260
The standard sparse normal Cholesky solver assumes a fixed
sparsity pattern which is useful for a large number of problems
presented to Ceres. However, some problems are symbolically dense
but numerically sparse i.e. each residual is a function of a
large number of parameters but at any given state the residual
only depends on a sparse subset of them. For these class of
problems it is faster to re-analyse the sparsity pattern of the
jacobian at each iteration of the non-linear optimisation instead
of including all of the zero entries in the step computation.
The proposed solution adds the dynamic_sparsity option which can
be used with SPARSE_NORMAL_CHOLESKY. A
DynamicCompressedRowSparseMatrix type (which extends
CompressedRowSparseMatrix) has been introduced which allows
dynamic addition and removal of elements. A Finalize method is
provided which then consolidates the matrix so that it can be
used in place of a regular CompressedRowSparseMatrix. An
associated jacobian writer has also been provided.
Changes that were required to make this extension were adding the
SetMaxNumNonZeros method to CompressedRowSparseMatrix and adding
a JacobianFinalizer template parameter to the ProgramEvaluator.
Change-Id: Ia5a8a9523fdae8d5b027bc35e70b4611ec2a8d01
I had to fix the following things to make Ceres compile in 2013:
* Not link to 'm' (GNU math library).
* Excplicitly convert an std::ostream to bool.
* Include <algorithm> for std::max.
Change-Id: I3ff65413baf8711364360d46dd71fd553fa63e72
- Any pure-C program #including <math.h> will need to link against
libm, some compilers will let an indirect link slide (via Ceres in
this case) but some won't.
Change-Id: I6890702fa0d2c3fbb747f0f81fc3fa3631839de4
- Adding FindPackage scripts for all of Ceres dependencies.
- Moving depend.cmake contents to CeresConfig.cmake and cleaning up
search for Ceres & required dependencies, no longer push Ceres
options into client.
- Fixing uninstall to remove ceres include root directory.
- Fixing main CMakeLists to install miniglog header if enabled.
- Making miniglog library shared/static with Ceres library.
Change-Id: If926bebd11720230c5136597ccba672394ed9777
Add example application which is based on bundle
adjustment code from Libmv library, which is heavily
used in Blender.
Apart from bundle adjustment code this commit also
contains real-life optimization problems from VFX
pipeline. This files are created from production
files of Tears of Steel movie.
New code is placed to examples, and could be used
either as an example implementation of BA or for
timing investigation of problems appearing in VFX.
Problems for this application are placed to
data/libmv-ba-problems.
Usage:
./libmv_bundle_adjuster --input=/path/to/problem_file.bin
There's also optional flag --refine_intrinsics which
declares explicitly whether intrinscis shall be
refined or not. If this flag is not passed, refinement
will happen for problems stored in image space.
Structure of problem files is described in header
comment of libmv_bundle_adjuster.cc.
Change-Id: I51202848c75dcd7612b707609e5ff3708e01b625
This introduces a simple C API for a subset of Ceres. This opens the door to
using languages like Python to call Ceres, since it is much easier to bind to C
than it is to bind to C++. It will mean giving up the native Ceres autodiff.
The implementation in this patch does not attempt to do everything but is only
just enough to get started. Subsequent patches will increase the surface area
of Ceres that is covered by the C API.
Change-Id: Ic51804bac6865e1a2e476553248aabc91dff3409
1. Quicker starting point.
2. Better discussion of derivatives.
3. Better hyperlinking to code and class documentation.
4. New robust estimation example.
5. Better naming of example code.
6. Removed dependency on gflags in all the core examples covered
in the tutorial.
Change-Id: Ibf3c7fe946fa2b4d22f8916a9366df267d34ca26
We have permission from Stefan Roth to use the coefficients from his
Matlab toolbox. They have been added as *.foe files.
Change-Id: Ice529e5cab0302b9f27648dd3c8e5ed7b9662aba
Updated the value of the version of cmake needed to build
ceres. Since the way booleans and literals are handled has changed
recently.
Change-Id: If13877f4403705cc29c3cf66c4e66dec26bbb3e9
2. Corrected a number of typos and reorganized the CMakefile to handle the corner cases better.
3. Moved the various search paths to the top of the CMakefile so that they are more easily accessible.
4. Tests that depend on gflags are only built if gflags support is compiled in.
Alex Stewart