109 lines
3.0 KiB
Python
109 lines
3.0 KiB
Python
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import numpy as np
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from .. import util
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from ..points import PointCloud
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def load_xyz(file_obj,
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delimiter=None,
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**kwargs):
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"""
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Load an XYZ file into a PointCloud.
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Parameters
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------------
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file_obj : an open file-like object
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Source data, ASCII XYZ
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delimiter : None or string
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Characters used to separate the columns of the file
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If not passed will use whitespace or commas
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Returns
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----------
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kwargs : dict
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Data which can be passed to PointCloud constructor
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"""
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# read the whole file into memory as a string
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raw = util.decode_text(file_obj.read()).strip()
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# get the first line to look at
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first = raw[:raw.find('\n')].strip()
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# guess the column count by looking at the first line
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columns = len(first.split())
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if columns < 3:
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raise ValueError("not enough columns in xyz file!")
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if delimiter is None and ',' in first:
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# if no delimiter passed and file has commas
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delimiter = ','
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if delimiter is not None:
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# replace delimiter with whitespace so split works
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raw = raw.replace(delimiter, ' ')
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# use string splitting to get array
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array = np.array(raw.split(), dtype=np.float64)
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# reshape to column count
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# if file has different numbers of values
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# per row this will fail as it should
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data = array.reshape((-1, columns))
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# start with no colors
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colors = None
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# vertices are the first three columns
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vertices = data[:, :3]
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if columns == 6:
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# RGB colors
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colors = np.array(data[:, 3:], dtype=np.uint8)
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colors = np.concatenate((
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colors,
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np.ones((len(data), 1), dtype=np.uint8) * 255), axis=1)
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elif columns >= 7:
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# extract RGBA colors
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colors = np.array(data[:, 3:8], dtype=np.uint8)
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# add extracted colors and vertices to kwargs
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kwargs.update({'vertices': vertices,
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'colors': colors})
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return kwargs
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def export_xyz(cloud, write_colors=True, delimiter=None):
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"""
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Export a PointCloud object to an XYZ format string.
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Parameters
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-------------
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cloud : trimesh.PointCloud
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Geometry in space
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write_colors : bool
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Write colors or not
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delimiter : None or str
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What to separate columns with
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Returns
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--------------
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export : str
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Pointcloud in XYZ format
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"""
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if not isinstance(cloud, PointCloud):
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raise ValueError('object must be PointCloud')
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# compile data into a blob
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data = cloud.vertices
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if (write_colors and
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hasattr(cloud, 'colors') and
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cloud.colors is not None):
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# stack colors and vertices
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data = np.hstack((data, cloud.colors))
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# if delimiter not passed use whitepace
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if delimiter is None:
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delimiter = ' '
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# stack blob into XYZ format
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export = util.array_to_string(data, col_delim=delimiter)
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return export
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_xyz_loaders = {'xyz': load_xyz}
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_xyz_exporters = {'xyz': export_xyz}
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