linemod_train.json
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TRUNCATION_LINEMOD.md
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draw_utils.py
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opengl_render_backend.py
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base_utils.py
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config.py
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data_utils.py
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render_utils.py
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Obj2Points
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utils_python_binding.h
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post_process.cpp
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farthest_point_sampling.cpp
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uncertainty_pnp.cpp
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CMakeLists.txt
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nearest_neighborhood.cu
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mesh_rasterization.cpp
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libceres.so
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libceres.so.2.0.0
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libglog.so
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libceres.so.2
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libceres.a
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extend_utils.py
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build_extend_utils_cffi.py
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gradient_problem.h
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autodiff_local_parameterization.h
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solver.h
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dynamic_numeric_diff_cost_function.h
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local_parameterization.h
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tiny_solver.h
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cubic_interpolation.h
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c_api.h
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gradient_problem_solver.h
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conditioned_cost_function.h
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dynamic_autodiff_cost_function.h
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rotation.h
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eigen.h
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context.h
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types.h
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problem.h
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numeric_diff_options.h
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version.h
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covariance.h
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cost_function.h
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ordered_groups.h
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ConservativeSparseSparseProduct.h
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TriangularSolver.h
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blas.h
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details.h
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QR
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FFT
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MPRealSupport
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ei_fftw_impl.h
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ei_kissfft_impl.h
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MatrixExponential.h
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RandomSetter.h
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MatrixMarketIterator.h
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LMpar.h
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LevenbergMarquardt.h
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LMqrsolv.h
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ArpackSelfAdjointEigenSolver.h
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KdBVH.h
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BVAlgorithms.h
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PolynomialUtils.h
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Companion.h
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AutoDiffScalar.h
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AutoDiffJacobian.h
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SplineFwd.h
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SplineFitting.h
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NumericalDiff.h
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SkylineUtil.h
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SkylineMatrix.h
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SkylineInplaceLU.h
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dogleg.h
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covar.h
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Tensor
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net_utils.py
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evaluation_utils.py
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arg_utils.py
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default_linemod_cfg.json
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linemod_dataset.py
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augmentation.py
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vgg.py
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vgg16_convs.py
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model_repository.py
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resnet.py
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ransac_voting.cpp
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cuda_common.h
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ransac_voting_kernel.cu
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setup.py
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ransac_voting_gpu.py
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run.py
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requirements.txt
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LICENSE
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download_linemod_orig.sh
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demo.py
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train_linemod.py
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cat.png
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introduction.png
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README.md
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cat_points_3d.txt
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cat_mask.png
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cat_bb8_3d.txt
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cat_pose.npy
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cat.jpg
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visualization.ipynb
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.gitignore
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