ruff fixes

deodr/examples/depth_image_hand_fitting.py

@@ -16,6 +16,7 @@
 from deodr import ColoredTriMesh
 from deodr.mesh_fitter import MeshDepthFitter
 from deodr.pytorch import MeshDepthFitter as PytorchMeshDepthFitter
+
 # from deodr.tensorflow import MeshDepthFitter as TensorFlowMeshDepthFitter
 
 

deodr/examples/eigen_faces.py

@@ -189,8 +189,8 @@ def fun(points_deformed: np.ndarray, pca_coefs: np.ndarray) -> Tuple[float, Dict
     for niter in range(nb_iter):
         energy, grads = fun(**variables)
         print(f"iter{niter} E={energy}")
-        for name in variables:
-            variables[name] = variables[name] - lambdas[name] * grads[name]
+        for name, variable in variables.items():
+            variables[name] = variable - lambdas[name] * grads[name]
 
         variables["points_deformed"][on_border] = points[on_border]
 

deodr/examples/rgb_image_hand_fitting.py

@@ -18,6 +18,7 @@
 from deodr.mesh_fitter import MeshRGBFitterWithPose
 from deodr.meshlab_io import export_meshlab
 from deodr.pytorch import MeshRGBFitterWithPose as PyTorchMeshRGBFitterWithPose
+
 # from deodr.tensorflow import (
 #     MeshRGBFitterWithPose as TensorflowTorchMeshRGBFitterWithPose,
 # )

deodr/opengl/__init__.py

@@ -1,3 +1,5 @@
 """Module to render deodr scenes using OpenGL using moderngl or pyrender."""
 
 __all__ = ["moderngl", "pyrender"]
+
+from deodr.opengl import moderngl, pyrender

deodr/tensorflow/differentiable_renderer_tensorflow.py

@@ -8,7 +8,10 @@
 from .. import differentiable_renderer_cython  # type: ignore
 from ..differentiable_renderer import Camera, Scene3D
 
-raise NotImplementedError("Tensorflow support has been dropped starting from version 0.2.3 until tensorflow-intel support numpy 2.0")
+raise NotImplementedError(
+    "Tensorflow support has been dropped starting from version 0.2.3 until tensorflow-intel support numpy 2.0"
+)
+
 
 class CameraTensorflow(Camera):
     """Tensorflow implementation of the camera class."""

tests/test_depth_image_hand_fitting.py

@@ -1,9 +1,9 @@
 """Test using depth image hand fitting."""
 
 import numpy as np
+import pytest
 
 from deodr.examples.depth_image_hand_fitting import run
-import pytest
 
 
 def test_depth_image_hand_fitting_pytorch() -> None:

tests/test_rgb_image_hand_fitting.py

@@ -1,10 +1,9 @@
 """Test using rgb_image hand fitting."""
 
 import numpy as np
-
+import pytest
 
 from deodr.examples.rgb_image_hand_fitting import run
-import pytest
 
 
 def test_rgb_image_hand_fitting_pytorch() -> None: