diff --git a/meshroom/nodes/aliceVision/FeatureExtraction.py b/meshroom/nodes/aliceVision/FeatureExtraction.py index a73381f2..34a9b2fd 100644 --- a/meshroom/nodes/aliceVision/FeatureExtraction.py +++ b/meshroom/nodes/aliceVision/FeatureExtraction.py @@ -42,7 +42,7 @@ It is robust to motion-blur, depth-of-field, occlusion. Be careful to have enoug label='Describer Types', description='Describer types used to describe an image.', value=['sift'], - values=['sift', 'sift_float', 'sift_upright', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv'], + values=['sift', 'sift_float', 'sift_upright', 'dspsift', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv'], exclusive=False, uid=[0], joinChar=',', diff --git a/meshroom/nodes/aliceVision/FeatureMatching.py b/meshroom/nodes/aliceVision/FeatureMatching.py index 9ffcca00..addc6c32 100644 --- a/meshroom/nodes/aliceVision/FeatureMatching.py +++ b/meshroom/nodes/aliceVision/FeatureMatching.py @@ -63,7 +63,7 @@ then it checks the number of features that validates this model and iterate thro label='Describer Types', description='Describer types used to describe an image.', value=['sift'], - values=['sift', 'sift_float', 'sift_upright', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv'], + values=['sift', 'sift_float', 'sift_upright', 'dspsift', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv'], exclusive=False, uid=[0], joinChar=',', diff --git a/meshroom/nodes/aliceVision/FeatureRepeatability.py b/meshroom/nodes/aliceVision/FeatureRepeatability.py index fffcddf3..c0dd167b 100644 --- a/meshroom/nodes/aliceVision/FeatureRepeatability.py +++ b/meshroom/nodes/aliceVision/FeatureRepeatability.py @@ -25,7 +25,7 @@ class FeatureRepeatability(desc.CommandLineNode): label='Describer Types', description='Describer types used to describe an image.', value=['sift'], - values=['sift', 'sift_float', 'sift_upright', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv'], + values=['sift', 'sift_float', 'sift_upright', 'dspsift', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv'], exclusive=False, uid=[0], joinChar=',', diff --git a/meshroom/nodes/aliceVision/GlobalSfM.py b/meshroom/nodes/aliceVision/GlobalSfM.py index fb065351..49410fea 100644 --- a/meshroom/nodes/aliceVision/GlobalSfM.py +++ b/meshroom/nodes/aliceVision/GlobalSfM.py @@ -52,7 +52,7 @@ It is known to be faster but less robust to challenging datasets than the Increm label='Describer Types', description='Describer types used to describe an image.', value=['sift'], - values=['sift', 'sift_float', 'sift_upright', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', + values=['sift', 'sift_float', 'sift_upright', 'dspsift', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv'], exclusive=False, uid=[0], diff --git a/meshroom/nodes/aliceVision/StructureFromMotion.py b/meshroom/nodes/aliceVision/StructureFromMotion.py index 7fa6c194..878db32b 100644 --- a/meshroom/nodes/aliceVision/StructureFromMotion.py +++ b/meshroom/nodes/aliceVision/StructureFromMotion.py @@ -97,7 +97,7 @@ It iterates like that, adding cameras and triangulating new 2D features into 3D label='Describer Types', description='Describer types used to describe an image.', value=['sift'], - values=['sift', 'sift_float', 'sift_upright', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv'], + values=['sift', 'sift_float', 'sift_upright', 'dspsift', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv'], exclusive=False, uid=[0], joinChar=',',