diff --git a/meshroom/nodes/aliceVision/ConvertSfMFormat.py b/meshroom/nodes/aliceVision/ConvertSfMFormat.py index a5c71aa7..1c859ea3 100644 --- a/meshroom/nodes/aliceVision/ConvertSfMFormat.py +++ b/meshroom/nodes/aliceVision/ConvertSfMFormat.py @@ -36,7 +36,7 @@ It can also be used to remove specific parts of from an SfM scene (like filter a label='Describer Types', description='Describer types to keep.', value=['dspsift'], - values=['sift', 'sift_float', 'sift_upright', 'dspsift', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv', 'unknown'], + values=['sift', 'sift_float', 'sift_upright', 'dspsift', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv', 'tag16h5', 'unknown'], exclusive=False, uid=[0], joinChar=',', diff --git a/meshroom/nodes/aliceVision/FeatureExtraction.py b/meshroom/nodes/aliceVision/FeatureExtraction.py index 5bb38e06..b05b21a3 100644 --- a/meshroom/nodes/aliceVision/FeatureExtraction.py +++ b/meshroom/nodes/aliceVision/FeatureExtraction.py @@ -50,7 +50,7 @@ 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=['dspsift'], - values=['sift', 'sift_float', 'sift_upright', 'dspsift', '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', 'tag16h5'], exclusive=False, uid=[0], joinChar=',', diff --git a/meshroom/nodes/aliceVision/FeatureMatching.py b/meshroom/nodes/aliceVision/FeatureMatching.py index bef82041..fdd4f634 100644 --- a/meshroom/nodes/aliceVision/FeatureMatching.py +++ b/meshroom/nodes/aliceVision/FeatureMatching.py @@ -64,7 +64,7 @@ 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=['dspsift'], - values=['sift', 'sift_float', 'sift_upright', 'dspsift', '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', 'tag16h5'], exclusive=False, uid=[0], joinChar=',', diff --git a/meshroom/nodes/aliceVision/SfMTransform.py b/meshroom/nodes/aliceVision/SfMTransform.py index ad602c6d..e8caf7e8 100644 --- a/meshroom/nodes/aliceVision/SfMTransform.py +++ b/meshroom/nodes/aliceVision/SfMTransform.py @@ -132,7 +132,7 @@ The transformation can be based on: label='Landmarks Describer Types', description='Image describer types used to compute the mean of the point cloud. (only for "landmarks" method).', value=['sift', 'dspsift', 'akaze'], - values=['sift', 'sift_float', 'sift_upright', 'dspsift', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv', 'unknown'], + values=['sift', 'sift_float', 'sift_upright', 'dspsift', 'akaze', 'akaze_liop', 'akaze_mldb', 'cctag3', 'cctag4', 'sift_ocv', 'akaze_ocv', 'tag16h5', 'unknown'], exclusive=False, uid=[0], joinChar=',', diff --git a/meshroom/nodes/aliceVision/StructureFromMotion.py b/meshroom/nodes/aliceVision/StructureFromMotion.py index 09914ac0..d029656d 100644 --- a/meshroom/nodes/aliceVision/StructureFromMotion.py +++ b/meshroom/nodes/aliceVision/StructureFromMotion.py @@ -98,7 +98,7 @@ 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=['dspsift'], - values=['sift', 'sift_float', 'sift_upright', 'dspsift', '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', 'tag16h5'], exclusive=False, uid=[0], joinChar=',',