Update numpy version 2.0.2

.github/workflows/pythonpackage.yml

@@ -7,7 +7,7 @@ jobs:
     strategy:
       matrix:
         os: [windows-latest]
-        python-version: [ "3.9", "3.10"]
+        python-version: [ "3.10", "3.11"]
     runs-on: ${{ matrix.os }}
     steps:
     - uses: actions/checkout@v2
@@ -34,7 +34,7 @@ jobs:
     - name: Lint with Ruff
       run: |
         pip install ruff
-        ruff .
+        ruff check .
 
     - name: Mypy
       run: |

.github/workflows/wheels.yml

@@ -23,7 +23,7 @@ jobs:
         run: python -m cibuildwheel --output-dir wheelhouse
         # to supply options, put them in 'env', like:
         env:
-          CIBW_SKIP: pp31* # problem with missing GCC 8.4
+          CIBW_SKIP: pp3* # problem with missing GCC 8.4
 
       - uses: actions/upload-artifact@v3
         with:
@@ -36,7 +36,7 @@ jobs:
     - uses: actions/checkout@v2
     - name: Build sdist
       run: pipx run build --sdist
-    - uses: actions/upload-artifact@v2
+    - uses: actions/upload-artifact@v3
       with:
         path: dist/*.tar.gz
 

create_venv.bat

@@ -1,4 +1,5 @@
 python.exe -m venv python_venv
-.\python_venv\scripts\python.exe -m pip install --upgrade pip
-.\python_venv\scripts\pip.exe install -r requirements.txt
-.\python_venv\scripts\pip.exe install -e .
+call %~dp0/python_venv/Scripts/activate.bat
+pip install uv
+uv pip sync requirements.txt
+uv pip install -e .

deodr/__init__.py

@@ -8,7 +8,7 @@
 Martin de La Gorce. 2019.
 """
 
-__version__ = "0.2.2"
+__version__ = "0.2.3"
 
 __all__ = [
     "Scene2D",

deodr/differentiable_renderer.py

@@ -293,7 +293,7 @@ def world_to_camera(self, points_3d: np.ndarray) -> np.ndarray:
         return points_3d.dot(self.extrinsic[:3, :3].T) + self.extrinsic[:3, 3]
 
     def camera_to_world_mtx_4x4(self) -> np.ndarray:
-        return np.row_stack(
+        return np.vstack(
             (
                 np.column_stack((self.extrinsic[:, :3].T, self.get_center())),
                 np.array((0, 0, 0, 1)),

deodr/examples/depth_image_hand_fitting.py

@@ -16,7 +16,8 @@
 from deodr import ColoredTriMesh
 from deodr.mesh_fitter import MeshDepthFitter
 from deodr.pytorch import MeshDepthFitter as PytorchMeshDepthFitter
-from deodr.tensorflow import MeshDepthFitter as TensorFlowMeshDepthFitter
+
+# from deodr.tensorflow import MeshDepthFitter as TensorFlowMeshDepthFitter
 
 
 def run(
@@ -47,7 +48,7 @@ def run(
     mesh_depth_fitter_selector = {
         "none": MeshDepthFitter,
         "pytorch": PytorchMeshDepthFitter,
-        "tensorflow": TensorFlowMeshDepthFitter,
+        # "tensorflow": TensorFlowMeshDepthFitter,
     }
 
     hand_fitter: MeshDepthFitter = mesh_depth_fitter_selector[dl_library](  # type: ignore

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

@@ -18,9 +18,10 @@
 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,
-)
+
+# from deodr.tensorflow import (
+#     MeshRGBFitterWithPose as TensorflowTorchMeshRGBFitterWithPose,
+# )
 
 DlLibraryType = Literal["pytorch", "tensorflow", "none"]
 
@@ -36,7 +37,7 @@ def run(
     mesh_fitter_selector = {
         "none": MeshRGBFitterWithPose,
         "pytorch": PyTorchMeshRGBFitterWithPose,
-        "tensorflow": TensorflowTorchMeshRGBFitterWithPose,
+        # "tensorflow": TensorflowTorchMeshRGBFitterWithPose,
     }
 
     hand_image = imread(os.path.join(deodr.data_path, "hand.png")).astype(np.double) / 255
@@ -70,7 +71,7 @@ def run(
     hand_fitter.reset()
 
     background_color = np.median(
-        np.row_stack(
+        np.vstack(
             (
                 hand_image[:10, :10, :].reshape(-1, 3),
                 hand_image[-10:, :10, :].reshape(-1, 3),

deodr/examples/rgb_multiview_hand.py

@@ -41,7 +41,7 @@ def run(
     default_light_ambient = 0.6
     # default_light = {'directional':np.array([0.0,0.0,0.0]),'ambient':np.array([0.6])}
 
-    euler_init = np.row_stack([np.array([0, yrot, 0]) for yrot in np.linspace(-0.5, 0.5, 3)])
+    euler_init = np.vstack([np.array([0, yrot, 0]) for yrot in np.linspace(-0.5, 0.5, 3)])
 
     vertices = vertices - np.mean(vertices, axis=0)
     t_init = np.array([0, -0.2, 0.2])
@@ -69,7 +69,7 @@ def run(
 
     hand_image = hand_images[0]
     background_color = np.median(
-        np.row_stack(
+        np.vstack(
             (
                 hand_image[:10, :10, :].reshape(-1, 3),
                 hand_image[-10:, :10, :].reshape(-1, 3),
@@ -97,7 +97,7 @@ def run(
         if display or save_images:
             combined_image = np.column_stack(
                 (
-                    np.row_stack(hand_images),
+                    np.vstack(hand_images),
                     image,
                     np.tile(np.minimum(diff_image, 1)[:, :, None], (1, 1, 3)),
                 )

deodr/obj.py

@@ -45,8 +45,8 @@ def read_obj(filename: str) -> Tuple[np.ndarray, np.ndarray]:
                 cleaned_fields.append(v)
             faces.append(np.array(cleaned_fields))
 
-    faces_np = np.row_stack(faces)
-    vertices_np = np.row_stack(vertices)
+    faces_np = np.vstack(faces)
+    vertices_np = np.vstack(vertices)
     return faces_np, vertices_np
 
 

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/opengl/moderngl.py

@@ -128,7 +128,7 @@ def set_texture(self, texture: np.ndarray) -> None:
         # texture.build_mipmaps()
 
     def set_camera(self, camera: Camera) -> None:
-        extrinsic = np.row_stack((camera.extrinsic, [0, 0, 0, 1]))
+        extrinsic = np.vstack((camera.extrinsic, [0, 0, 0, 1]))
 
         intrinsic = Matrix44(
             np.diag([1, -1, -1, 1]).dot(

deodr/tensorflow/differentiable_renderer_tensorflow.py

@@ -8,6 +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"
+)
+
 
 class CameraTensorflow(Camera):
     """Tensorflow implementation of the camera class."""

deodr/tensorflow/tools.py

@@ -7,5 +7,5 @@
 
 def scipy_sparse_matrix_to_tensorflow(x: scipy.sparse.spmatrix) -> tf.SparseTensor:
     coo = x.tocoo()
-    indices = np.mat([coo.row, coo.col]).transpose()
+    indices = np.array([coo.row, coo.col]).transpose()
     return tf.SparseTensor(indices, coo.data, coo.shape)

deodr/triangulated_mesh.py

@@ -546,7 +546,7 @@ def loop_subdivision(mesh: ColoredTriMesh, n_iter: int = 1) -> ColoredTriMesh:
             mesh.adjacencies.faces_edges[:, 2] + mesh.nb_vertices,
         )
     )
-    new_faces = np.row_stack((faces1, faces2, faces3, faces4))
+    new_faces = np.vstack((faces1, faces2, faces3, faces4))
     if mesh.uv is not None:
         raise BaseException("Textured mesh not supported yet in subdivision.")
     if mesh.vertices_colors is not None:

pyproject.toml

@@ -1,5 +1,5 @@
 [build-system]
-requires = ["setuptools", "wheel", "numpy>=1.22.0", "Cython>=0.29"]
+requires = ["setuptools", "wheel", "numpy>=2.0.0", "Cython>=0.29"]
 build-backend = "setuptools.build_meta"
 
 [project]
@@ -12,7 +12,7 @@ license = { text = "BSD" }
 readme = "readme.md"
 
 dependencies = [
-  "numpy>=1.22.0", "scipy"
+  "numpy>=2.0.0", "scipy"
 ]
 
 [tool.black]

requirements.in

@@ -0,0 +1,26 @@
+-f https://download.pytorch.org/whl/cu121
+
+numpy>=2.0.2
+scipy
+Cython
+scikit-learn
+matplotlib
+imageio
+trimesh
+opencv-python>=4.8
+torch 
+torchvision 
+# tensorflow does not support numpy 2.0 yet https://github.com/tensorflow/tensorflow/issues/67291
+# tensorflow
+moderngl
+pyrr
+pyrender
+pytest-xvfb
+
+# devloppement
+radon
+pip-tools
+mypy
+ruff
+
+