Python 3.13.0rc1 : testing the new Kivy-2.3.1 with default examples.

Today I tested the Kivy-2.3.1 with Python 3.13.0rc1.

Read more on the official webpage.

The install step is easy with the pip tool:

python -m pip install kivy
Collecting kivy
...
Installing collected packages: kivy-deps.sdl2, kivy-deps.glew, kivy-deps.angle, filetype, pypiwin32, pygments, docutils, Kivy-Garden, kivy
Successfully installed Kivy-Garden-0.1.5 docutils-0.21.2 filetype-1.2.0 kivy-2.3.1 kivy-deps.angle-0.4.0 kivy-deps.glew-0.3.1 kivy-deps.sdl2-0.8.0 pygments-2.19.1 pypiwin32-223

Let's install the kivy examples source code:

python -m pip install --pre "kivy[base]" kivy_examples
Collecting kivy_examples
...
Installing collected packages: kivy_examples
Successfully installed kivy_examples-2.3.1

You can test these examples with this command into the python folder:

C:\Python313\share\kivy-examples>python demo\showcase\main.py
[WARNING] [Config      ] Older configuration version detected (0 instead of 27)
[WARNING] [Config      ] Upgrading configuration in progress.
[DEBUG  ] [Config      ] Upgrading from 0 to 1

This is the result:

News : NVIDIA Kaolin library provides a PyTorch API.

NVIDIA Kaolin library provides a PyTorch API for working with a variety of 3D representations and includes a growing collection of GPU-optimized operations such as modular differentiable rendering, fast conversions between representations, data loading, 3D checkpoints, differentiable camera API, differentiable lighting with spherical harmonics and spherical gaussians, powerful quadtree acceleration structure called Structured Point Clouds, interactive 3D visualizer for jupyter notebooks, convenient batched mesh container and more ... from GitHub repo - kaolin.

See this example from NVIDIA:

NVIDIA Kaolin library has introduced the SurfaceMesh class to make it easier to track attributes such as faces, vertices, normals, face_normals, and others associated with surface meshes.