In this post, I want to share how to generate ply files in Python.
We can use open3d. We can use pip to install it:
For CentOS 7, I met error when installing the latest version:
/lib64/libc.so.6: version `GLIBC_2.18’ not found
A workaround is to use older versions:
pip install open3d==0.9.0See also issue here for more discussions.
Below is is a simple snippet showing to read and write ply files using open3d.
import numpy as np
import open3d as o3d
def main():
pts = np.random.randint(0, 100, (100, 3))
# whether to write in binary or text format
write_text = True
# use open3d
use_o3d(pts, write_text)
def use_o3d(pts, write_text):
pcd = o3d.geometry.PointCloud()
# the method Vector3dVector() will convert numpy array of shape (n, 3) to Open3D format.
# see http://www.open3d.org/docs/release/python_api/open3d.utility.Vector3dVector.html#open3d.utility.Vector3dVector
pcd.points = o3d.utility.Vector3dVector(pts)
# http://www.open3d.org/docs/release/python_api/open3d.io.write_point_cloud.html#open3d.io.write_point_cloud
o3d.io.write_point_cloud("my_pts.ply", pcd, write_ascii=write_text)
# read ply file
pcd = o3d.io.read_point_cloud('my_pts.ply')
# visualize
# o3d.visualization.draw_geometries([pcd])Summary: powerful features and good documentation.
Ref:
We can also use pyntcloud:
Unlike open3d, for Pyntcloud, we need to convert Numpy array to Pandas data frames. Here is an example how to use Pyntcloud:
import pandas as pd
from pyntcloud import PyntCloud
def use_pyntcloud(pts, write_text):
# ref: https://pyntcloud.readthedocs.io/en/latest/io.html
# the doc is scarce and not complete
n = len(pts)
# The points must be written as a dataframe,
# ref: https://stackoverflow.com/q/70304087/6064933
data = {'x': pts[:, 0],
'y': pts[:, 1],
'z': pts[:, 2],
'red': np.random.rand(n),
'blue': np.random.rand(n),
'green': np.random.rand(n)
}
# build a cloud
cloud = PyntCloud(pd.DataFrame(data))
# the argument for writing ply file can be found in
# https://github.com/daavoo/pyntcloud/blob/7dcf5441c3b9cec5bbbfb0c71be32728d74666fe/pyntcloud/io/ply.py#L173
cloud.to_file('my_pts2.ply', as_text=write_text)
# read file
cloud = PyntCloud.from_file('my_pts2.ply')
# print(cloud)Summary: the documentation is terrible and lacking.
Another package is called Python-plyfile (pip install plyfile).
Here is how to use it:
from plyfile import PlyData, PlyElement
# use python-plyfile
use_plyfile(pts, write_text)
def use_plyfile(pts, write_text):
x, y, z = pts[:, 0], pts[:, 1], pts[:, 2]
pts = list(zip(x, y, z))
# the vertex are required to a 1-d list
vertex = np.array(pts, dtype=[('x', 'f4'), ('y', 'f4'), ('z', 'f4')])
el = PlyElement.describe(vertex, 'vertex')
PlyData([el], text=write_text).write('my_pts3.ply')Summary: Not intuitive API design, at least for writing a ply file.
Meshio (pip install meshio) can also do this:
import numpy as np
import meshio
vertices = np.random.rand(100, 3)
meshio.write("test.ply", mesh=meshio.Mesh(points=vertices, cells = []), binary=False)Summary: no doc, hard to use. I need to check source code to know its parameters.
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