Numpy 2.x not supported

[ZamboniMarco99]

I think this is quite a urgent issue since new installations of pyrender break.

The new major release of numpy brings braking changes in the api making pyrender not compatible with it.

A quick fix could be giving an upper bound to the numpy dependency in setup.py

For example this code raise an AttributeError when pyrender try to use np.infty:

import trimesh
import pyrender

mesh = trimesh.load(file)
scene = pyrender.Scene.from_trimesh_scene(mesh_glb, bg_color=[1.0, 1.0, 1.0])
pyrender.Viewer(scene)

Traceback:

Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File ".../.venv/lib/python3.10/site-packages/pyrender/viewer.py", line 300, in __init__
    zfar = max(scene.scale * 10.0, DEFAULT_Z_FAR)
  File ".../.venv/lib/python3.10/site-packages/pyrender/scene.py", line 254, in scale
    return np.linalg.norm(self.extents)
  File ".../.venv/lib/python3.10/site-packages/pyrender/scene.py", line 248, in extents
    return np.diff(self.bounds, axis=0).reshape(-1)
  File ".../.venv/lib/python3.10/site-packages/pyrender/scene.py", line 226, in bounds
    corners_local = trimesh.bounds.corners(mesh.bounds)
  File ".../.venv/lib/python3.10/site-packages/pyrender/mesh.py", line 87, in bounds
    bounds = np.array([[np.infty, np.infty, np.infty],
  File ".../.venv/lib/python3.10/site-packages/numpy/__init__.py", line 397, in __getattr__
    raise AttributeError(
AttributeError: `np.infty` was removed in the NumPy 2.0 release. Use `np.inf` instead.. Did you mean: 'info'?

For full documentation here the contents of my venv:

Package                   Version
------------------------- -----------
addict                    2.4.0
attrs                     23.2.0
blinker                   1.8.2
certifi                   2024.7.4
charset-normalizer        3.3.2
click                     8.1.7
configargparse            1.7
contourpy                 1.2.1
cycler                    0.12.1
dash                      2.17.1
dash-core-components      2.0.0
dash-html-components      2.0.0
dash-table                5.0.0
fastjsonschema            2.20.0
flask                     3.0.3
fonttools                 4.53.1
freetype-py               2.4.0
idna                      3.7
imageio                   2.34.2
importlib-metadata        8.0.0
itsdangerous              2.2.0
jinja2                    3.1.4
joblib                    1.4.2
jsonschema                4.23.0
jsonschema-specifications 2023.12.1
jupyter-core              5.7.2
kiwisolver                1.4.5
markupsafe                2.1.5
matplotlib                3.9.1
nbformat                  5.10.4
nest-asyncio              1.6.0
networkx                  3.3
numpy                     2.0.0
open3d                    0.18.0
packaging                 24.1
pandas                    2.2.2
pillow                    10.4.0
platformdirs              4.2.2
plotly                    5.22.0
pyglet                    2.0.15
pyopengl                  3.1.0
pyparsing                 3.1.2
pyquaternion              0.9.9
pyrender                  0.1.45
python-dateutil           2.9.0.post0
pytz                      2024.1
pyyaml                    6.0.1
referencing               0.35.1
requests                  2.32.3
retrying                  1.3.4
rpds-py                   0.19.0
scikit-learn              1.5.1
scipy                     1.14.0
setuptools                70.3.0
six                       1.16.0
tenacity                  8.5.0
threadpoolctl             3.5.0
tqdm                      4.66.4
traitlets                 5.14.3
trimesh                   4.4.2
typing-extensions         4.12.2
tzdata                    2024.1
urllib3                   2.2.2
werkzeug                  3.0.3
zipp                      3.19.2

[ZamboniMarco99]

From the user perspective a workaround is to specify a compatible numpy version in your requirements.txt or installation command, for example:

pip install numpy==1.26