blender/intern/libmv/CMakeLists.txt

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# SPDX-FileCopyrightText: 2011 Blender Authors
#
# SPDX-License-Identifier: GPL-2.0-or-later
Camera tracking integration =========================== Commiting camera tracking integration gsoc project into trunk. This commit includes: - Bundled version of libmv library (with some changes against official repo, re-sync with libmv repo a bit later) - New datatype ID called MovieClip which is optimized to work with movie clips (both of movie files and image sequences) and doing camera/motion tracking operations. - New editor called Clip Editor which is currently used for motion/tracking stuff only, but which can be easily extended to work with masks too. This editor supports: * Loading movie files/image sequences * Build proxies with different size for loaded movie clip, also supports building undistorted proxies to increase speed of playback in undistorted mode. * Manual lens distortion mode calibration using grid and grease pencil * Supervised 2D tracking using two different algorithms KLT and SAD. * Basic algorithm for feature detection * Camera motion solving. scene orientation - New constraints to "link" scene objects with solved motions from clip: * Follow Track (make object follow 2D motion of track with given name or parent object to reconstructed 3D position of track) * Camera Solver to make camera moving in the same way as reconstructed camera This commit NOT includes changes from tomato branch: - New nodes (they'll be commited as separated patch) - Automatic image offset guessing for image input node and image editor (need to do more tests and gather more feedback) - Code cleanup in libmv-capi. It's not so critical cleanup, just increasing readability and understanadability of code. Better to make this chaneg when Keir will finish his current patch. More details about this project can be found on this page: http://wiki.blender.org/index.php/User:Nazg-gul/GSoC-2011 Further development of small features would be done in trunk, bigger/experimental features would first be implemented in tomato branch.
2011-11-07 12:55:18 +00:00
# NOTE: This file is automatically generated by bundle.sh script
# If you're doing changes in this file, please update template
# in that script too
Camera tracking integration =========================== Commiting camera tracking integration gsoc project into trunk. This commit includes: - Bundled version of libmv library (with some changes against official repo, re-sync with libmv repo a bit later) - New datatype ID called MovieClip which is optimized to work with movie clips (both of movie files and image sequences) and doing camera/motion tracking operations. - New editor called Clip Editor which is currently used for motion/tracking stuff only, but which can be easily extended to work with masks too. This editor supports: * Loading movie files/image sequences * Build proxies with different size for loaded movie clip, also supports building undistorted proxies to increase speed of playback in undistorted mode. * Manual lens distortion mode calibration using grid and grease pencil * Supervised 2D tracking using two different algorithms KLT and SAD. * Basic algorithm for feature detection * Camera motion solving. scene orientation - New constraints to "link" scene objects with solved motions from clip: * Follow Track (make object follow 2D motion of track with given name or parent object to reconstructed 3D position of track) * Camera Solver to make camera moving in the same way as reconstructed camera This commit NOT includes changes from tomato branch: - New nodes (they'll be commited as separated patch) - Automatic image offset guessing for image input node and image editor (need to do more tests and gather more feedback) - Code cleanup in libmv-capi. It's not so critical cleanup, just increasing readability and understanadability of code. Better to make this chaneg when Keir will finish his current patch. More details about this project can be found on this page: http://wiki.blender.org/index.php/User:Nazg-gul/GSoC-2011 Further development of small features would be done in trunk, bigger/experimental features would first be implemented in tomato branch.
2011-11-07 12:55:18 +00:00
set(INC
.
)
set(INC_SYS
)
Camera tracking integration =========================== Commiting camera tracking integration gsoc project into trunk. This commit includes: - Bundled version of libmv library (with some changes against official repo, re-sync with libmv repo a bit later) - New datatype ID called MovieClip which is optimized to work with movie clips (both of movie files and image sequences) and doing camera/motion tracking operations. - New editor called Clip Editor which is currently used for motion/tracking stuff only, but which can be easily extended to work with masks too. This editor supports: * Loading movie files/image sequences * Build proxies with different size for loaded movie clip, also supports building undistorted proxies to increase speed of playback in undistorted mode. * Manual lens distortion mode calibration using grid and grease pencil * Supervised 2D tracking using two different algorithms KLT and SAD. * Basic algorithm for feature detection * Camera motion solving. scene orientation - New constraints to "link" scene objects with solved motions from clip: * Follow Track (make object follow 2D motion of track with given name or parent object to reconstructed 3D position of track) * Camera Solver to make camera moving in the same way as reconstructed camera This commit NOT includes changes from tomato branch: - New nodes (they'll be commited as separated patch) - Automatic image offset guessing for image input node and image editor (need to do more tests and gather more feedback) - Code cleanup in libmv-capi. It's not so critical cleanup, just increasing readability and understanadability of code. Better to make this chaneg when Keir will finish his current patch. More details about this project can be found on this page: http://wiki.blender.org/index.php/User:Nazg-gul/GSoC-2011 Further development of small features would be done in trunk, bigger/experimental features would first be implemented in tomato branch.
2011-11-07 12:55:18 +00:00
set(SRC
libmv-capi.h
)
set(LIB
2019-04-16 12:10:38 +00:00
)
if(WITH_LIBMV)
if(WIN32)
add_definitions(-D_USE_MATH_DEFINES)
endif()
add_definitions(${GFLAGS_DEFINES})
add_definitions(${GLOG_DEFINES})
add_definitions(-DLIBMV_GFLAGS_NAMESPACE=${GFLAGS_NAMESPACE})
list(APPEND INC
${GFLAGS_INCLUDE_DIRS}
${GLOG_INCLUDE_DIRS}
../guardedalloc
)
list(APPEND INC_SYS
${EIGEN3_INCLUDE_DIRS}
${PNG_INCLUDE_DIRS}
${ZLIB_INCLUDE_DIRS}
../../extern/ceres/include
../../extern/ceres/config
)
2019-04-16 12:10:38 +00:00
list(APPEND LIB
extern_ceres
CMake: Refactor external dependencies handling This is a more correct fix to the issue Brecht was fixing in D6600. While the fix in that patch worked fine for linking it broke ASAN runtime under some circumstances. For example, `make full debug developer` would compile, but trying to start blender will cause assert failure in ASAN (related on check that ASAN is not running already). Top-level idea: leave it to CMake to keep track of dependency graph. The root of the issue comes to the fact that target like "blender" is configured to use a lot of static libraries coming from Blender sources and to use external static libraries. There is nothing which ensures order between blender's and external libraries. Only order of blender libraries is guaranteed. It was possible that due to a cycle or other circumstances some of blender libraries would have been passed to linker after libraries it uses, causing linker errors. For example, this order will likely fail: libbf_blenfont.a libfreetype6.a libbf_blenfont.a This change makes it so blender libraries are explicitly provided their dependencies to an external libraries, which allows CMake to ensure they are always linked against them. General rule here: if bf_foo depends on an external library it is to be provided to LIBS for bf_foo. For example, if bf_blenkernel depends on opensubdiv then LIBS in blenkernel's CMakeLists.txt is to include OPENSUBDIB_LIBRARIES. The change is made based on searching for used include folders such as OPENSUBDIV_INCLUDE_DIRS and adding corresponding libraries to LIBS ion that CMakeLists.txt. Transitive dependencies are not simplified by this approach, but I am not aware of any downside of this: CMake should be smart enough to simplify them on its side. And even if not, this shouldn't affect linking time. Benefit of not relying on transitive dependencies is that build system is more robust towards future changes. For example, if bf_intern_opensubiv is no longer depends on OPENSUBDIV_LIBRARIES and all such code is moved to bf_blenkernel this will not break linking. The not-so-trivial part is change to blender_add_lib (and its version in Cycles). The complexity is caused by libraries being provided as a single list argument which doesn't allow to use different release and debug libraries on Windows. The idea is: - Have every library prefixed as "optimized" or "debug" if separation is needed (non-prefixed libraries will be considered "generic"). - Loop through libraries passed to function and do simple parsing which will look for "optimized" and "debug" words and specify following library to corresponding category. This isn't something particularly great. Alternative would be to use target_link_libraries() directly, which sounds like more code but which is more explicit and allows to have more flexibility and control comparing to wrapper approach. Tested the following configurations on Linux, macOS and Windows: - make full debug developer - make full release developer - make lite debug developer - make lite release developer NOTE: Linux libraries needs to be compiled with D6641 applied, otherwise, depending on configuration, it's possible to run into duplicated zlib symbols error. Differential Revision: https://developer.blender.org/D6642
2020-01-20 17:36:19 +00:00
${GLOG_LIBRARIES}
${GFLAGS_LIBRARIES}
${PNG_LIBRARIES}
2019-04-16 12:10:38 +00:00
)
add_definitions(
-DWITH_LIBMV_GUARDED_ALLOC
-DLIBMV_NO_FAST_DETECTOR=
Camera tracking integration =========================== Commiting camera tracking integration gsoc project into trunk. This commit includes: - Bundled version of libmv library (with some changes against official repo, re-sync with libmv repo a bit later) - New datatype ID called MovieClip which is optimized to work with movie clips (both of movie files and image sequences) and doing camera/motion tracking operations. - New editor called Clip Editor which is currently used for motion/tracking stuff only, but which can be easily extended to work with masks too. This editor supports: * Loading movie files/image sequences * Build proxies with different size for loaded movie clip, also supports building undistorted proxies to increase speed of playback in undistorted mode. * Manual lens distortion mode calibration using grid and grease pencil * Supervised 2D tracking using two different algorithms KLT and SAD. * Basic algorithm for feature detection * Camera motion solving. scene orientation - New constraints to "link" scene objects with solved motions from clip: * Follow Track (make object follow 2D motion of track with given name or parent object to reconstructed 3D position of track) * Camera Solver to make camera moving in the same way as reconstructed camera This commit NOT includes changes from tomato branch: - New nodes (they'll be commited as separated patch) - Automatic image offset guessing for image input node and image editor (need to do more tests and gather more feedback) - Code cleanup in libmv-capi. It's not so critical cleanup, just increasing readability and understanadability of code. Better to make this chaneg when Keir will finish his current patch. More details about this project can be found on this page: http://wiki.blender.org/index.php/User:Nazg-gul/GSoC-2011 Further development of small features would be done in trunk, bigger/experimental features would first be implemented in tomato branch.
2011-11-07 12:55:18 +00:00
)
list(APPEND SRC
intern/autotrack.cc
intern/camera_intrinsics.cc
intern/detector.cc
intern/frame_accessor.cc
intern/homography.cc
intern/image.cc
intern/logging.cc
intern/reconstruction.cc
intern/track_region.cc
intern/tracks.cc
intern/tracksN.cc
libmv/autotrack/autotrack.cc
libmv/autotrack/predict_tracks.cc
libmv/autotrack/tracks.cc
libmv/base/aligned_malloc.cc
libmv/image/array_nd.cc
libmv/image/convolve.cc
libmv/multiview/conditioning.cc
libmv/multiview/euclidean_resection.cc
libmv/multiview/fundamental.cc
libmv/multiview/homography.cc
libmv/multiview/panography.cc
libmv/multiview/panography_kernel.cc
libmv/multiview/projection.cc
libmv/multiview/triangulation.cc
libmv/numeric/numeric.cc
libmv/numeric/poly.cc
libmv/simple_pipeline/bundle.cc
libmv/simple_pipeline/camera_intrinsics.cc
libmv/simple_pipeline/detect.cc
libmv/simple_pipeline/distortion_models.cc
libmv/simple_pipeline/initialize_reconstruction.cc
libmv/simple_pipeline/intersect.cc
Motion tracking: automatic keyframe selection Implements an automatic keyframe selection algorithm which uses couple of approaches to find out best keyframes candidates: - First, slightly modifier Pollefeys's criteria is used, which limits correspondence ration from 80% to 100%. This allows to reject keyframe candidate early without doing heavy math in cases there're not much common features with first keyframe. - Second step is based on Geometric Robust Information Criteria (aka GRIC), which checks whether features motion between candidate keyframes is better defined by homography or fundamental matrices. To be a good keyframe candidate, fundamental matrix need to define motion better than homography (in this case F-GRIC will be smaller than H-GRIC). This two criteria are well described in this paper: http://www.cs.ait.ac.th/~mdailey/papers/Tahir-KeyFrame.pdf - Final step is based on estimating reconstruction error of a full-scene solution using candidate keyframes. This part is based on the following paper: ftp://ftp.tnt.uni-hannover.de/pub/papers/2004/ECCV2004-TTHBAW.pdf This step requires reconstruction using candidate keyframes and obtaining covariance matrix of 3D points positions. Reconstruction was done pretty much straightforward using other simple pipeline routines, and for covariance estimation pseudo-inverse of Hessian is used, which is in this case (J^T * J)+, where + denotes pseudo-inverse. Jacobian matrix is estimating using Ceres evaluate API. This is also crucial to get rid of possible gauge ambiguity, which is in our case made by zero-ing 7 (by gauge freedoms number) eigen values in pseudo-inverse. There're still room for improving and optimizing the code, but we need some point to start with anyway :) Thanks to Keir Mierle and Sameer Agarwal who assisted a lot to make this feature working.
2013-05-30 09:03:49 +00:00
libmv/simple_pipeline/keyframe_selection.cc
libmv/simple_pipeline/modal_solver.cc
libmv/simple_pipeline/packed_intrinsics.cc
libmv/simple_pipeline/pipeline.cc
libmv/simple_pipeline/reconstruction.cc
libmv/simple_pipeline/reconstruction_scale.cc
libmv/simple_pipeline/resect.cc
libmv/simple_pipeline/tracks.cc
libmv/tracking/brute_region_tracker.cc
libmv/tracking/hybrid_region_tracker.cc
libmv/tracking/klt_region_tracker.cc
libmv/tracking/pyramid_region_tracker.cc
libmv/tracking/retrack_region_tracker.cc
libmv/tracking/track_region.cc
libmv/tracking/trklt_region_tracker.cc
intern/autotrack.h
intern/camera_intrinsics.h
intern/detector.h
intern/frame_accessor.h
intern/homography.h
intern/image.h
intern/logging.h
intern/reconstruction.h
2020-01-25 06:17:48 +00:00
intern/region.h
intern/track_region.h
intern/tracks.h
intern/tracksN.h
2020-01-25 06:17:48 +00:00
intern/utildefines.h
libmv/autotrack/autotrack.h
libmv/autotrack/callbacks.h
libmv/autotrack/frame_accessor.h
libmv/autotrack/marker.h
libmv/autotrack/model.h
libmv/autotrack/predict_tracks.h
libmv/autotrack/quad.h
libmv/autotrack/reconstruction.h
libmv/autotrack/region.h
libmv/autotrack/tracks.h
libmv/base/aligned_malloc.h
libmv/base/array.h
libmv/base/id_generator.h
2020-05-15 09:08:18 +00:00
libmv/base/map.h
libmv/base/scoped_ptr.h
libmv/base/vector.h
libmv/base/vector_utils.h
libmv/build/build_config.h
libmv/image/array_nd.h
libmv/image/convolve.h
libmv/image/correlation.h
libmv/image/image_converter.h
libmv/image/image_drawing.h
libmv/image/image.h
libmv/image/sample.h
libmv/image/tuple.h
libmv/logging/logging.h
libmv/multiview/conditioning.h
libmv/multiview/euclidean_resection.h
libmv/multiview/fundamental.h
libmv/multiview/homography_error.h
libmv/multiview/homography.h
libmv/multiview/homography_parameterization.h
libmv/multiview/nviewtriangulation.h
libmv/multiview/panography.h
libmv/multiview/panography_kernel.h
libmv/multiview/projection.h
libmv/multiview/resection.h
libmv/multiview/triangulation.h
libmv/multiview/two_view_kernel.h
libmv/numeric/dogleg.h
libmv/numeric/function_derivative.h
libmv/numeric/levenberg_marquardt.h
libmv/numeric/numeric.h
libmv/numeric/poly.h
libmv/simple_pipeline/bundle.h
libmv/simple_pipeline/callbacks.h
libmv/simple_pipeline/camera_intrinsics.h
libmv/simple_pipeline/camera_intrinsics_impl.h
libmv/simple_pipeline/detect.h
libmv/simple_pipeline/distortion_models.h
libmv/simple_pipeline/initialize_reconstruction.h
libmv/simple_pipeline/intersect.h
Motion tracking: automatic keyframe selection Implements an automatic keyframe selection algorithm which uses couple of approaches to find out best keyframes candidates: - First, slightly modifier Pollefeys's criteria is used, which limits correspondence ration from 80% to 100%. This allows to reject keyframe candidate early without doing heavy math in cases there're not much common features with first keyframe. - Second step is based on Geometric Robust Information Criteria (aka GRIC), which checks whether features motion between candidate keyframes is better defined by homography or fundamental matrices. To be a good keyframe candidate, fundamental matrix need to define motion better than homography (in this case F-GRIC will be smaller than H-GRIC). This two criteria are well described in this paper: http://www.cs.ait.ac.th/~mdailey/papers/Tahir-KeyFrame.pdf - Final step is based on estimating reconstruction error of a full-scene solution using candidate keyframes. This part is based on the following paper: ftp://ftp.tnt.uni-hannover.de/pub/papers/2004/ECCV2004-TTHBAW.pdf This step requires reconstruction using candidate keyframes and obtaining covariance matrix of 3D points positions. Reconstruction was done pretty much straightforward using other simple pipeline routines, and for covariance estimation pseudo-inverse of Hessian is used, which is in this case (J^T * J)+, where + denotes pseudo-inverse. Jacobian matrix is estimating using Ceres evaluate API. This is also crucial to get rid of possible gauge ambiguity, which is in our case made by zero-ing 7 (by gauge freedoms number) eigen values in pseudo-inverse. There're still room for improving and optimizing the code, but we need some point to start with anyway :) Thanks to Keir Mierle and Sameer Agarwal who assisted a lot to make this feature working.
2013-05-30 09:03:49 +00:00
libmv/simple_pipeline/keyframe_selection.h
libmv/simple_pipeline/modal_solver.h
libmv/simple_pipeline/packed_intrinsics.h
libmv/simple_pipeline/pipeline.h
libmv/simple_pipeline/reconstruction.h
libmv/simple_pipeline/reconstruction_scale.h
libmv/simple_pipeline/resect.h
libmv/simple_pipeline/tracks.h
libmv/threading/threading.h
libmv/tracking/brute_region_tracker.h
libmv/tracking/hybrid_region_tracker.h
libmv/tracking/kalman_filter.h
libmv/tracking/klt_region_tracker.h
libmv/tracking/pyramid_region_tracker.h
libmv/tracking/region_tracker.h
libmv/tracking/retrack_region_tracker.h
libmv/tracking/track_region.h
libmv/tracking/trklt_region_tracker.h
third_party/msinttypes/inttypes.h
third_party/msinttypes/stdint.h
)
if(WITH_GTESTS)
blender_add_lib(libmv_test_dataset "./libmv/multiview/test_data_sets.cc" "${INC}" "${INC_SYS}" "")
blender_add_test_executable("libmv_predict_tracks" "./libmv/autotrack/predict_tracks_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_tracks" "./libmv/autotrack/tracks_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_scoped_ptr" "./libmv/base/scoped_ptr_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_vector" "./libmv/base/vector_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_array_nd" "./libmv/image/array_nd_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_convolve" "./libmv/image/convolve_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_image" "./libmv/image/image_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_sample" "./libmv/image/sample_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_tuple" "./libmv/image/tuple_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_euclidean_resection" "./libmv/multiview/euclidean_resection_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_fundamental" "./libmv/multiview/fundamental_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_homography" "./libmv/multiview/homography_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_nviewtriangulation" "./libmv/multiview/nviewtriangulation_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_panography" "./libmv/multiview/panography_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_projection" "./libmv/multiview/projection_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_resection" "./libmv/multiview/resection_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_triangulation" "./libmv/multiview/triangulation_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_dogleg" "./libmv/numeric/dogleg_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_function_derivative" "./libmv/numeric/function_derivative_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_levenberg_marquardt" "./libmv/numeric/levenberg_marquardt_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_numeric" "./libmv/numeric/numeric_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_poly" "./libmv/numeric/poly_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_camera_intrinsics" "./libmv/simple_pipeline/camera_intrinsics_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_detect" "./libmv/simple_pipeline/detect_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_intersect" "./libmv/simple_pipeline/intersect_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_keyframe_selection" "./libmv/simple_pipeline/keyframe_selection_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_modal_solver" "./libmv/simple_pipeline/modal_solver_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_resect" "./libmv/simple_pipeline/resect_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_brute_region_tracker" "./libmv/tracking/brute_region_tracker_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_klt_region_tracker" "./libmv/tracking/klt_region_tracker_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
blender_add_test_executable("libmv_pyramid_region_tracker" "./libmv/tracking/pyramid_region_tracker_test.cc" "${INC}" "${INC_SYS}" "libmv_test_dataset;bf_intern_libmv;extern_ceres")
endif()
else()
list(APPEND SRC
intern/stub.cc
)
endif()
blender_add_lib(bf_intern_libmv "${SRC}" "${INC}" "${INC_SYS}" "${LIB}")