Integration of AprilTag library according to issue #1179 and AliceVision pull request #950 (#1180)

* According to Meshroom issue #1179 (https://github.com/alicevision/meshroom/issues/1179),
add the describer type "tag16h5" to the following modules:
- ConvertSfmFormat (e.g., to be able to export the 3D AprilTag positions in a human-readable format as .sfm,
or to see only the AprilTag marker positions in the 3D view via .abc)
- FeatureExtraction (to be able to detect AprilTag markers from the tag16h5 family)
- FeatureMatching (to be able to match AprilTag markers)
- SfmTransform (to be able to use AprilTag markers, e.g., for the auto_from_markers transform)
- StructureFromMotion (to be able to compute the 3D positions of AprilTag markers)

* Added a new input to sfmTransform: markerDistances, which is a pair of marker IDs associated with the distance between them.
Added a corresponding new transform: from_marker_distances, which scales the model according to the given distances between pairs of markers.
Added another transform: auto_from_markers, which uses the existing markers parameter (ignoring their x,y,z positions) and applies the auto_from_... function only based on these given markers. The latter transform can, e.g., be used to align a set of markers with the ground plane.

* Revert "Added a new input to sfmTransform: markerDistances, which is a pair of marker IDs associated with the distance between them."

This reverts commit ed87c68f39.

Co-authored-by: jarne <jarne@ieee.org>
Co-authored-by: Fabien Castan <fabcastan@gmail.com>

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=',',

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=',',

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=',',

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=',',

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=',',