open3d その３：画像から点群データっぽいものを作り三次元モデルを生成

$ for i in $(seq 10 10 90) ; do convert rose: -threshold $i% rose$i.png; done

import open3d
import numpy
from PIL import Image


# 点群型データ作成
pcd = open3d.geometry.PointCloud()

files = ['rose10.png','rose20.png','rose30.png','rose40.png','rose50.png','rose60.png','rose70.png','rose80.png','rose90.png']

for fileId in  range(len(files)) :
  im = numpy.array(Image.open(files[fileId]).convert('L'))
  gy = (im > 1)*1
  for i in range(len(gy)):
    for j in range(len(gy[i])):
      if ( gy[i][j] == 1) :
        pcd.points.append([          j, i, fileId])
        pcd.colors.append([ 0.1*fileId, 0,      0]);

# ボクセルのサイズ指定
voxel = open3d.geometry.VoxelGrid.create_from_point_cloud(pcd, 1)

open3d.visualization.draw_geometries(
  [voxel],
  width=400,
  height=400,
  point_show_normal = True
  )