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Visual 3d point directly from numpy array #664
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Almost -- first we'll need to create a import numpy as np
import open3d
points = np.random.rand(10000, 3)
point_cloud = open3d.PointCloud()
point_cloud.points = open3d.Vector3dVector(points)
open3d.draw_geometries([point_cloud]) |
I think we can say "yes" :) Thanks to #657, there is almost no overhead. |
I saw Open3D source codes, it did some promote suggestion optimization in Jupyter notebook. But not in pure python, I mean, pycharm or vscode can not work with that. If you try pycharm, you will see Open3D just failing at any code suggestions |
From this https://stackoverflow.com/a/5196184/1255535, it seems to be possible to set up in PyCharm. Though there are other reports saying that it is not possible with PyCharm. I did a quick comparison with opencv. The
Coud you check your installed opencv and see if there are some additional tricks? 🕵️ |
@yxlao Thanks for your quick look. |
@jinfagang looked at it again today, turned out to be an easy fix #676 |
@yxlao The API seems broken looks from today. I updated it here for users might got into this issue:
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Does it support visualize numpy array?
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