This Python package provides a collection of utilities for working with 3D data!
$ pip install utils3d
utils3d can be used to perform various actions on your 3d data. One of them is converting the 3D point cloud data into a 2D depth image and that can be achieved as follows:
from utils3d.pctodepthimage import pctodepthimage
path = "pointclouds/um_000000.pcd" # path to your point cloud file
extrinsics = [] # 3x4 numpy array containing the extrinsic parameters (dummy available in tests/test_utils3d.py)
intrinsics = [] # 3x3 numpy array containing the intrinsic parameters (dummy available in tests/test_utils3d.py)
height = 512 # height of your depth image
width = 1382 # width of your depth image
scaling_factor = 0.15 # scaling factor manipulates the intensity of the pixels of your image
depth_image = pctodepthimage(path, extrinsics, intrinsics, height, width, scaling_factor)
depth_image.show()
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
utils3d was created by Kalash Jain. It is licensed under the terms of the MIT license.
utils3d was created with cookiecutter and the py-pkgs-cookiecutter template.
FAQs
A package for 3D utilities!
We found that utils3d demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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