This commit makes it possible to use Glog library for the debug logging.
For now only possible when using CMake and in order to use the logging
the WITH_CYCLES_LOGGING configuration variable is to be enabled.
When this option is not enabled or when using Scons there's no difference
in Cycles behavior at all, when using logging and no output to the console
impact is gonna to be minimal.
This is done in order to make it possible to have debug logging persistent
in code (without need to add it when troubleshooting some bug and removing
it afterwards).
For now actual logging is not placed yet, only all the functions needed for
the logging are written and so.
This would give some performance boost when solving huge scenes,
amount of boost depends on particular scene.
For now enable all of the specializations, in the future we might
add some local patches and restrict only unneeded ones.
Brings new bounds limiting and also prepares build system
for the changes in the upstream.
Namely shared_ptr header and namespace is now being detected
by a build system rather than by hacks in the code.
This commit includes some changes to auto-detection flags
in SCons, presumably adding more consistency there. This
is main changes which are suppoed to be reviewed here.
Reviewers: campbellbarton
Differential Revision: https://developer.blender.org/D581
Pass the arrays by reference rather than by value,
should give some percent of speedup.
Also don't pass the dimensions to the function but
get them from the images themselves.
Hopefully this will give some %% of tracker speedup.
This means if one makes change to either SConscript or CMakeLists.txt
there he MUST update bundle.sh.
Also made it so *.cc files from intern/libmv are matching which would
make it easier to add more .cc files there if needed.
And one more thing is removing 'simple_pipeline/distortion_models.cc'
which doesn't match any of the files.
This commit makes it so CameraIntrinsics is no longer hardcoded
to use the traditional polynomial radial distortion model. Currently
the distortion code has generic logic which is shared between
different distortion models, but had no other models until now.
This moves everything specific to the polynomial radial distortion
to a subclass PolynomialDistortionCameraIntrinsics(), and adds a
new division distortion model suitable for cameras such as the
GoPro which have much stronger distortion due to their fisheye lens.
This also cleans up the internal API of CameraIntrinsics to make
it easier to understand and reduces old C-style code.
New distortion model is available in the Lens panel of MCE.
- Polynomial is the old well-known model
- Division is the new one which s intended to deal better with huge
distortion.
Coefficients of this model works independent from each other
and for division model one probably want to have positive values
to have a barrel distortion.
This gives a huge speedup gain for cases when you've got
rather huge markers on a byte images.
Done by skipping IMB_float_from_rect()/IMB_rect_from_float()
for such cases. We can sample the buffers without color space
conversion.
Using unordered_map and unordered_set C++ container types currently
requires careful testing or usage of boost, due to the various confusing
C++ version differences in include paths and namespaces.
Libmv defines tests for these cases in cmake and scons, such that ceres
can use any available implementation, or fall back too std::map/std::set
if none can be found.
This patch generalizes this buildfile code by providing a Blender macro.
* cmake: defines both the variables used by libmv at them moment as well
as 2 variables UNORDERED_MAP_INCLUDE_PREFIX and UNORDERED_MAP_NAMESPACE,
which can later be used in other C++ parts for convenience.
* scons: adds a tool script returning the include prefix and namespace.
Libmv checks these to define the appropriate definitions for ceres.
Differential Revision: https://developer.blender.org/D425
This is mainly a maintaince commit which syncs changes
between Blender and Libmv upstream also bringing new
GLog version.
This GLog version is presumably have better support of
MinGW from "the box".
This commit is also aimed to make further 3d part libs
update easier.
This is needed to minimize their reprojection error over the footage.
Without this extra step positions of such tracks were calculated by
algebraic intersection code only, which doesn't give best precision.
Avoid zero-sized problem when doing euclidean intersection
Zero-sized problem might occur when intersecting track with
constant zero weight. For such tracks we'll just use result
of algebraic intersection.
TODO: We probably need to have a separate BA step to adjust
positions of tracks with constant zero weight.
It doesn't make sense to use zero-weighted tracks as a correspondences
in keyframe selection.
Such tracks are not guaranteed to be tracked accurately because their
purpose is to add reference points in 3D space without affecting the
solution.
This gives much worse results on mango footage (see 04_2e)
so disabling for now for until proper prediction model is landed.
The thing is, currently blender sends input coordinates as the guess to
region tracker and in case of fast motion such an early out ruins the track.
First thing changed by this commit is making it so
Euclidean intersection takes track weight into account
when solving minimization problem. This behaves the
same exact way as it is for BA step.
Second thing is related on how average reprojection error
is being calculated. It didn't take track weight into
account which could confuse users. Now average reprojection
error will give the same result as intersection/BA uses
during minimization which gives much more predictable
behavior.
Differential Revision: https://developer.blender.org/D265
Using tracks with constant zero weight used to crash
keyframe selection since it was trying to use missing
parameter blocks for Jacobian evaluation,
Also fixed possible issues with wrong camera block being
marked as variable. This could technically happen when
having zero weighted tracks. Made it so all camera blocks
are marked as variable for now.
Switch the detector API to a single function which accepts
a float image and detector options. This makes usage of
feature detection more unified across different algorithms.
Options structure is pretty much straightforward and contains
detector to be used and all the detector-specific settings.
Also implemented Harris feature detection algorithm which
is not as fast as FAST one but is expected to detect more
robust feature points. It is also likely that less features
are detected, but better quality than quantity.
Blender will now use Harris detector by default, later we'll
remove FAST detector.
Mainly fixed some style warnings reported by cpplint.
Also changed how camera (un)distortion happens internally
by replacing number of channels as a template argument
with number as channels passing as function argument.
Makes code easier to follow by eliminating loads checks
how much channels are used and which argument to pass to
the template.
