udpate to rerun 0.30.2

README.md

@@ -62,7 +62,7 @@ animation.rerun()
 ```
 
 ## From source
-```conda install -c conda-forge ezc3d rerun-sdk=0.27.2 trimesh numpy biorbd pyomeca tk imageio imageio-ffmpeg trc-data-reader```
+```conda install -c conda-forge ezc3d rerun-sdk=0.30.2 trimesh numpy biorbd pyomeca tk imageio imageio-ffmpeg trc-data-reader```
 
 if you want to use the OpenSim, you also need to install separately:
 

environment.yml

@@ -6,7 +6,7 @@ channels:
 dependencies:
 - ezc3d
 - trc-data-reader>=0.4.0
-- rerun-sdk=0.27.2
+- rerun-sdk=0.30.2
 - numpy
 - matplotlib
 - biorbd>=1.10.5

pyorerun/model_components/ligaments.py

@@ -168,8 +168,8 @@ def to_rerun(self, q: np.ndarray) -> None:
             rr.Transform3D(
                 translation=homogenous_matrices[:3, 3],
                 mat3x3=homogenous_matrices[:3, :3],
-                # axis_length=1,
             ),
+            rr.TransformAxes3D(1),
         )
         rr.log(
             self.name,

pyorerun/model_components/local_frame.py

@@ -25,25 +25,25 @@ def nb_components(self):
     def initialize(self):
         rr.log(
             self.name,
-            rr.Transform3D(
+            rr.Transform3D.from_fields(
                 translation=np.zeros(3),
                 mat3x3=np.eye(3),
-                axis_length=1,
             ),
+            rr.TransformAxes3D(1),
         )
 
     def to_rerun(self, q: np.ndarray) -> None:
         rr.log(
             self.name,
             self.to_component(q),
+            rr.TransformAxes3D(self.scale),
         )
 
     def to_component(self, q: np.ndarray) -> rr.Transform3D:
         homogenous_matrices = self.transform_callable(q)
         return rr.Transform3D(
             translation=homogenous_matrices[:3, 3],
             mat3x3=homogenous_matrices[:3, :3],
-            axis_length=self.scale,
         )
 
     def compute_all_transforms(self, q: np.ndarray) -> np.ndarray:

pyorerun/model_components/mesh.py

@@ -175,7 +175,7 @@ def to_chunk(self, q: np.ndarray) -> dict[str, list]:
                 *rr.Transform3D.columns(
                     translation=homogenous_matrices[:3, 3, :].T.tolist(),
                     mat3x3=[homogenous_matrices[:3, :3, f] for f in range(homogenous_matrices.shape[2])],
-                    axis_length=[LOCAL_FRAME_SCALE] * homogenous_matrices.shape[2],
-                )
+                    # axis_length=[LOCAL_FRAME_SCALE] * homogenous_matrices.shape[2],
+                ),
             ]
         }

pyproject.toml

@@ -22,7 +22,7 @@ classifiers = [
 dependencies = [
     "ezc3d",  # Now needed, but imported for our custom PyoMarkers.from_c3d()
     "numpy",
-    "rerun-sdk==0.27.2",
+    "rerun-sdk==0.30.2",
     "trimesh",
     "tk",
     "imageio",

setup.py

@@ -6,7 +6,7 @@
     install_requires=[
         "ezc3d",  # Not yet available on pypi, use `conda install -c conda-forge ezc3d`
         "numpy",
-        "rerun-sdk==0.27.2",
+        "rerun-sdk==0.30.2",
         "trimesh",
         "tk",
         "imageio",