make np.array compatible with numpy 2.0

[Guangyun-Xu]

Parameter copy in np.array

in version 2.0:

copy:bool, optional
If True (default), then the array data is copied. If None, a copy will only be made if array returns a copy, if obj is a nested sequence, or if a copy is needed to satisfy any of the other requirements (dtype, order, etc.). Note that any copy of the data is shallow, i.e., for arrays with object dtype, the new array will point to the same objects. See Examples for ndarray.copy. For False it raises a ValueError if a copy cannot be avoided. Default: True.

in version 1.x:

copybool, optional
If true (default), then the object is copied. Otherwise, a copy will only be made if array returns a copy, if obj is a nested sequence, or if a copy is needed to satisfy any of the other requirements (dtype, order, etc.).

[Guangyun-Xu]

if numpy in version 2.0, run script ns-render interpolate --load-config will get error like this:

Traceback (most recent call last):
File "/home/guangyun/miniconda3/envs/ns_train/bin/ns-render", line 8, in
sys.exit(entrypoint())
File "/home/guangyun/Project/open_source/nerfstudio/ns_gitlab_update/nerfstudio/scripts/render.py", line 897, in ent
rypoint
tyro.cli(Commands).main()
File "/home/guangyun/Project/open_source/nerfstudio/ns_gitlab_update/nerfstudio/scripts/render.py", line 614, in mai
n
camera_path = get_interpolated_camera_path(
File "/home/guangyun/Project/open_source/nerfstudio/ns_gitlab_update/nerfstudio/cameras/camera_paths.py", line 42, i
n get_interpolated_camera_path
poses, Ks = get_interpolated_poses_many(poses, Ks, steps_per_transition=steps, order_poses=order_poses)
File "/home/guangyun/Project/open_source/nerfstudio/ns_gitlab_update/nerfstudio/cameras/camera_utils.py", line 271,
in get_interpolated_poses_many
poses_ab = get_interpolated_poses(pose_a, pose_b, steps=steps_per_transition)
File "/home/guangyun/Project/open_source/nerfstudio/ns_gitlab_update/nerfstudio/cameras/camera_utils.py", line 171,
in get_interpolated_poses
quat_a = quaternion_from_matrix(pose_a[:3, :3])
File "/home/guangyun/Project/open_source/nerfstudio/ns_gitlab_update/nerfstudio/cameras/camera_utils.py", line 57, i
n quaternion_from_matrix
M = np.array(matrix, dtype=np.float64, copy=False)[:4, :4]
ValueError: Unable to avoid copy while creating an array as requested.
If using np.array(obj, copy=False) replace it with np.asarray(obj) to allow a copy when needed (no behavior change
in NumPy 1.x).
For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword
.

[kerrj]

lgtm