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Functions173 in github.com/MarkYu98/madpose

⨍ Functions 173◇ Types & classes 31

↓ 36 callersMethodR

↓ 25 callersMethodt

↓ 9 callersMethodnum_data

src/hybrid_pose_estimator.h:53

↓ 8 callersMethodGetSolution

src/optimizer.h:127

↓ 8 callersMethodSetUp

src/optimizer.h:48

↓ 8 callersMethodSolve

src/optimizer.h:113

↓ 7 callersFunctioncompute_pose_error

(T_0to1, R, t, t_thres=None)

madpose/utils.py:70

↓ 7 callersMethodmin_sample_sizes

src/hybrid_pose_estimator.h:45

↓ 6 callersMethodEvaluateModelOnPoint

src/hybrid_pose_estimator.cpp:212

↓ 6 callersFunctionget_depths

(image, depth_map, mkpts)

madpose/utils.py:4

↓ 5 callersMethodLeastSquares

Linear least squares solver.

src/hybrid_pose_estimator.cpp:260

↓ 5 callersMethodmin_sample_size

src/hybrid_pose_estimator.h:43

↓ 5 callersMethodnum_data_types

src/hybrid_pose_estimator.h:51

↓ 4 callersMethodEstimateModel

Estimates a model using a given solver. Notice that the solver contains all data and is responsible to implement a non-minimal solver and least-square

src/hybrid_ransac.h:36

↓ 4 callersFunctionTriangulatePoints

↓ 4 callersFunctionto_essential_matrix

↓ 3 callersMethodEstimatorConfig

src/estimator_config.h:9

↓ 2 callersMethodMinimalSolver

src/hybrid_pose_estimator.cpp:65

↓ 2 callersMethodNonMinimalSolver

src/hybrid_pose_estimator.cpp:185

↓ 2 callersMethodnon_minimal_sample_size

src/hybrid_pose_estimator.h:71

↓ 2 callersMethodnum_minimal_solvers

src/hybrid_pose_estimator.h:41

↓ 2 callersFunctionsolve_scale_and_shift

src/solver.cpp:35

↓ 2 callersFunctionsolve_scale_and_shift_shared_focal

src/solver.cpp:127

↓ 2 callersFunctionsolve_scale_and_shift_two_focal

src/solver.cpp:295

↓ 2 callersFunctionsolve_scale_shift_pose

src/solver.cpp:482

↓ 2 callersFunctionsolve_scale_shift_pose_shared_focal

src/solver.cpp:536

↓ 2 callersFunctionsolve_scale_shift_pose_two_focal

src/solver.cpp:595

↓ 1 callersFunctionAssignSolverOptionsFromDict

src/utils.h:116

↓ 1 callersFunctionNormalizeQuaternion

↓ 1 callersFunctionQuaternionToRotationMatrix

↓ 1 callersFunctionTriangulatePoint

↓ 1 callersFunctionangle_error_mat

madpose/utils.py:59

↓ 1 callersFunctionangle_error_vec

madpose/utils.py:65

↓ 1 callersFunctionbind_estimator

src/bindings.cpp:96

↓ 1 callersFunctionbind_ransaclib

src/bindings.cpp:33

↓ 1 callersFunctionbougnoux_focals

src/hybrid_pose_two_focal_estimator.cpp:11

↓ 1 callersFunctionbougnoux_numpy

madpose/utils.py:25

↓ 1 callersFunctionestimate_scale_and_pose

src/solver.cpp:5

↓ 1 callersFunctionfind_transform

solver_py/scale_and_shift_shared_focal.py:297

↓ 1 callersFunctionfind_transform

solver_py/scale_and_shift.py:120

↓ 1 callersFunctionfind_transform

solver_py/scale_and_shift_two_focal.py:356

↓ 1 callersFunctionsolve_shift_and_scale

(x1, x2, d1, d2)

solver_py/scale_and_shift.py:6

↓ 1 callersFunctionsolve_shift_and_scale_shared_focal

(x1_, x2_, d1, d2)

solver_py/scale_and_shift_shared_focal.py:6

↓ 1 callersFunctionsolve_shift_and_scale_two_focal

(x1_, x2_, d1, d2)

solver_py/scale_and_shift_two_focal.py:6

↓ 1 callersMethodsolver_probabilities

src/hybrid_pose_estimator.h:60

↓ 1 callersFunctiontest_solver

solver_py/scale_and_shift_shared_focal.py:308

↓ 1 callersFunctiontest_solver

solver_py/scale_and_shift.py:131

↓ 1 callersFunctiontest_solver

solver_py/scale_and_shift_two_focal.py:367

FunctionComposeTransformationMatrix

src/utils.h:104

MethodComputeScore

MSAC (top-hat) scoring function.

src/ransac.h:188

MethodComputeScore

MSAC (top-hat) scoring function.

src/hybrid_ransac.h:283

src/cost_functions.h:21

src/cost_functions.h:56

src/cost_functions.h:95

src/cost_functions.h:141

src/cost_functions.h:177

src/cost_functions.h:217

src/cost_functions.h:268

src/cost_functions.h:304

src/cost_functions.h:344

MethodEstimateModel

Estimates a model using a given solver. Notice that the solver contains all data and is responsible to implement a non-minimal solver and least-square

src/ransac.h:30

MethodEvaluateModelOnPoint

src/hybrid_pose_two_focal_estimator.cpp:204

MethodEvaluateModelOnPoint

src/hybrid_pose_shared_focal_estimator.cpp:155

MethodExtendedHybridLORansacOptions

src/hybrid_ransac.h:19

MethodGetBestEstimatedModelId

src/ransac.h:162

MethodGetBestEstimatedModelId

src/hybrid_ransac.h:243

MethodGetInliers

src/ransac.h:192

MethodGetInliers

src/hybrid_ransac.h:287

MethodGetSolution

src/optimizer.h:241

MethodGetSolution

src/optimizer.h:365

MethodGetSolution

src/optimizer.h:495

FunctionHybridEstimatePoseAndScale

src/hybrid_pose_estimator.cpp:37

FunctionHybridEstimatePoseScaleOffset

src/hybrid_pose_estimator.cpp:8

FunctionHybridEstimatePoseScaleOffsetSharedFocal

src/hybrid_pose_shared_focal_estimator.cpp:8

FunctionHybridEstimatePoseScaleOffsetTwoFocal

src/hybrid_pose_two_focal_estimator.cpp:34

MethodHybridPoseEstimator

src/hybrid_pose_estimator.h:14

MethodHybridPoseEstimatorScaleOnly

src/hybrid_pose_estimator.h:111

MethodHybridPoseOptimizer

src/optimizer.h:28

MethodHybridPoseOptimizerScaleOnly

src/optimizer.h:151

MethodHybridSharedFocalPoseEstimator

src/hybrid_pose_shared_focal_estimator.h:14

MethodHybridSharedFocalPoseOptimizer

src/optimizer.h:266

MethodHybridTwoFocalPoseEstimator

src/hybrid_pose_two_focal_estimator.h:14

MethodHybridTwoFocalPoseOptimizer

src/optimizer.h:390

MethodLeastSquares

Linear least squares solver.

src/hybrid_pose_two_focal_estimator.cpp:251

MethodLeastSquares

Linear least squares solver.

src/hybrid_pose_shared_focal_estimator.cpp:200

MethodLeastSquaresFit

src/ransac.h:285

MethodLeastSquaresFit

src/hybrid_ransac.h:482

MethodLiftProjectionFunctor0

src/cost_functions.h:18

MethodLiftProjectionFunctor1

src/cost_functions.h:53

MethodLiftProjectionSharedFocalFunctor0

src/cost_functions.h:139

MethodLiftProjectionSharedFocalFunctor1

src/cost_functions.h:175

MethodLiftProjectionTwoFocalFunctor0

src/cost_functions.h:266

MethodLiftProjectionTwoFocalFunctor1

src/cost_functions.h:302

MethodLocalOptimization

See algorithms 2 and 3 in Lebeda et al. The input model is overwritten with the refined model if the latter is better, i.e., has a lower score.

src/ransac.h:221

MethodLocalOptimization

See algorithms 2 and 3 in Lebeda et al. The input model is overwritten with the refined model if the latter is better, i.e., has a lower score.

src/hybrid_ransac.h:381

MethodMinimalSolver

src/hybrid_pose_two_focal_estimator.cpp:76

MethodMinimalSolver

src/hybrid_pose_shared_focal_estimator.cpp:53

MethodNonMinimalSolver

src/hybrid_pose_two_focal_estimator.cpp:178

MethodNonMinimalSolver

src/hybrid_pose_shared_focal_estimator.cpp:128

MethodOptimizerConfig

src/optimizer_config.h:9

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