Install without conda #23
Comments
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Yeah, you should be able to install it without conda, but you'll need to install embree seprately and then point pip/setup.py install to the location you installed embree at |
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@shuocao818 go into the just modify your |
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Thank you so much! |
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For whatever it's worth we install pyembree/embree 2.17.7 on the |
After changing to
-----edit------- |
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@yehDilBeparwah but since you were linking to the embree v2.17.7 the folder |
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I installed it by going to |
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@ttsesm @Shivin302 @yeDilBeparwah @mikedh I am trying to install System: Windows 10 x64, Build 1909, Python 3.8.10
However, no matter what, I get the following output: Any ideas what I'm doing wrong? |
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Is part of my issue that I'm using Embree 3 and not Embree 2? |
Installation InstructionsTested on:OS: Windows 10 x64 Professional, Build 1909 Steps
cd C:\vcpkg
git clone https://github.com/Microsoft/vcpkg.git
bootstrap-vcpkg.bat
vcpkg integrate installAlternatively, you can download and install the embree-2.17.7.x64.msi Installer on Embree's GitHub page (to learn more about Embree, visit their website).
vcpkg install embree2:x64-windows
py -m pip install numpy cython wheel setuptools pyvista pykdtree rtree trimesh
git clone https://github.com/scopatz/pyembree.gitand remove the underlying
import os
from setuptools import find_packages, setup
import numpy as np
from Cython.Build import cythonize
from Cython.Distutils import build_ext
include_path = [
np.get_include(),
]
ext_modules = cythonize("pyembree/*.pyx", language_level=3, include_path=include_path)
for ext in ext_modules:
ext.include_dirs = include_path
ext.libraries = [
"pyembree/embree2/lib/embree",
"pyembree/embree2/lib/tbb",
"pyembree/embree2/lib/tbbmalloc",
]
setup(
name="pyembree",
version="0.1.6",
cmdclass={"build_ext": build_ext},
ext_modules=ext_modules,
zip_safe=False,
packages=find_packages(),
include_package_data=True,
package_data={"pyembree": ["*.cpp", "*.dll"]},
)
and dynamic libraries
# distutils: language=c++and change every relative import of an cimport rtcore as rtcto cimport pyembree.rtcore as rtc
>>> import pyembree
>>> from pyembree import rtcore_scene
>>>If you get no errors, then The
import numpy as np
from pykdtree.kdtree import KDTree
import pyvista as pv
from pyvista import examples
# Load data
data = examples.load_random_hills()
data.translate((10, 10, 10))
# Create triangular plane (vertices [10, 0, 0], [0, 10, 0], [0, 0, 10])
size = 10
vertices = np.array([[size, 0, 0], [0, size, 0], [0, 0, size]])
face = np.array([3, 0, 1, 2])
planes = pv.PolyData(vertices, face)
# Subdivide plane so we have multiple points to project to
planes = planes.subdivide(8)
# Get origins and normals
origins = planes.cell_centers().points
normals = planes.compute_normals(cell_normals=True, point_normals=False)["Normals"]
# Vectorized Ray trace
points, pt_inds, cell_inds = data.multi_ray_trace(
origins, normals
) # Must have rtree, trimesh, and pyembree installed
# Filter based on distance threshold, if desired (mimics VTK ray_trace behavior)
# threshold = 10 # Some threshold distance
# distances = np.linalg.norm(origins[inds] - points, ord=2, axis=1)
# inds = inds[distances <= threshold]
tree = KDTree(data.points.astype(np.double))
_, data_inds = tree.query(points)
elevations = data.point_arrays["Elevation"][data_inds]
# Mask points on planes
planes.cell_arrays["Elevation"] = np.zeros((planes.n_cells,))
planes.cell_arrays["Elevation"][pt_inds] = elevations
planes.set_active_scalars("Elevation") # Probably not necessary, but just in case
# Create axes
axis_length = 20
tip_length = 0.25 / axis_length * 3
tip_radius = 0.1 / axis_length * 3
shaft_radius = 0.05 / axis_length * 3
x_axis = pv.Arrow(
direction=(axis_length, 0, 0),
tip_length=tip_length,
tip_radius=tip_radius,
shaft_radius=shaft_radius,
scale="auto",
)
y_axis = pv.Arrow(
direction=(0, axis_length, 0),
tip_length=tip_length,
tip_radius=tip_radius,
shaft_radius=shaft_radius,
scale="auto",
)
z_axis = pv.Arrow(
direction=(0, 0, axis_length),
tip_length=tip_length,
tip_radius=tip_radius,
shaft_radius=shaft_radius,
scale="auto",
)
x_label = pv.PolyData([axis_length, 0, 0])
y_label = pv.PolyData([0, axis_length, 0])
z_label = pv.PolyData([0, 0, axis_length])
x_label.point_arrays["label"] = [
"x",
]
y_label.point_arrays["label"] = [
"y",
]
z_label.point_arrays["label"] = [
"z",
]
# Plot results
p = pv.Plotter()
p.add_mesh(x_axis, color="r")
p.add_point_labels(x_label, "label", show_points=False, font_size=24)
p.add_mesh(y_axis, color="r")
p.add_point_labels(y_label, "label", show_points=False, font_size=24)
p.add_mesh(z_axis, color="r")
p.add_point_labels(z_label, "label", show_points=False, font_size=24)
p.add_mesh(data)
p.add_mesh(planes)
p.show() |
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After a while of struggling with installing pyembree on Windows, I found this instruction more straightforward and included only the necessary steps to install the package.
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Hi, is it possible to install pyembree without using conda?
I tried python setup.py install and also I set the include path of my embree in the setup.py like this
include_path = [np.get_include(),"C:\python36\Lib\site-packages\embree-2.14.0.x64.windows\include"]
but I got an error: fatal error LNK1181: cannot open input file 'embree.lib'
so I am wondering whether conda is the only way to install it. Thanks!
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