MagicSource
MagicSource
@LoSealL Ok, quick try
@LoSealL Using the fork and that commit g2o: ``` [ 89%] Linking CXX executable ba_example_win CMakeFiles/ba_example_win.dir/main.cpp.o: In function `g2o::LinearSolverCSparse::solvePattern(g2o::SparseBlockMatrix&, std::vector const&, g2o::SparseBlockMatrix const&)': main.cpp:(.text._ZN3g2o19LinearSolverCSparseIN5Eigen6MatrixIdLi6ELi6ELi0ELi6ELi6EEEE12solvePatternERNS_17SparseBlockMatrixINS2_IdLin1ELin1ELi0ELin1ELin1EEEEERKSt6vectorISt4pairIiiESaISB_EERKNS5_IS3_EE[_ZN3g2o19LinearSolverCSparseIN5Eigen6MatrixIdLi6ELi6ELi0ELi6ELi6EEEE12solvePatternERNS_17SparseBlockMatrixINS2_IdLin1ELin1ELi0ELin1ELin1EEEEERKSt6vectorISt4pairIiiESaISB_EERKNS5_IS3_EE]+0xd8): undefined reference to `g2o::csparse_extension::cs_chol_workspace(cs_sparse const*, cs_symbolic...
@LoSealL Same issue: ``` [ 88%] Linking CXX executable ba_example_win CMakeFiles/ba_example_win.dir/main.cpp.o: In function `g2o::LinearSolverCSparse::solvePattern(g2o::SparseBlockMatrix&, std::vector const&, g2o::SparseBlockMatrix const&)': main.cpp:(.text._ZN3g2o19LinearSolverCSparseIN5Eigen6MatrixIdLi6ELi6ELi0ELi6ELi6EEEE12solvePatternERNS_17SparseBlockMatrixINS2_IdLin1ELin1ELi0ELin1ELin1EEEEERKSt6vectorISt4pairIiiESaISB_EERKNS5_IS3_EE[_ZN3g2o19LinearSolverCSparseIN5Eigen6MatrixIdLi6ELi6ELi0ELi6ELi6EEEE12solvePatternERNS_17SparseBlockMatrixINS2_IdLin1ELin1ELi0ELin1ELin1EEEEERKSt6vectorISt4pairIiiESaISB_EERKNS5_IS3_EE]+0xd8): undefined reference to `g2o::csparse_extension::cs_chol_workspace(cs_sparse const*, cs_symbolic const*, int*, double*)' CMakeFiles/ba_example_win.dir/main.cpp.o: In...
@LoSealL In CmakeCache.txt: ``` # This is the CMakeCache file. # For build in directory: /media/jintian/data/tmp/g2o_ba_example/build # It was generated by CMake: /usr/bin/cmake # You can edit this file to...
@LoSealL thanks for your patience, waiting for your move on uncover
thank u. Just still wondering what kind of data should be prepared to supports Chinese or Japanese or Korean? I think it would be very much benifit opensource community if...
Hi, didn't get time to try this recently. Does parler side has any progress on more langual support?
Does not compatible with tensorrt6. it will got this error: ``` WARNING: ONNX model has a newer ir_version (0.0.4) than this parser was built against (0.0.3). Parsing model While parsing...
@CaoWGG add cublas in target_link for plugin.
@HongwenZhang Hello, the smplx model is extremly big up to 1G+, is there any plan to train some light-weighted model while might sacrifice some performance?