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e57.py
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e57.py
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import uuid
import os
from typing import Dict
from enum import Enum
import numpy as np
from pyquaternion import Quaternion
from pye57.__version__ import __version__
from pye57 import libe57
from pye57 import ScanHeader
from pye57.utils import convert_spherical_to_cartesian
try:
from exceptions import WindowsError
except ImportError:
class WindowsError(OSError):
pass
SUPPORTED_CARTESIAN_POINT_FIELDS = {
"cartesianX": "d",
"cartesianY": "d",
"cartesianZ": "d",
}
SUPPORTED_SPHERICAL_POINT_FIELDS = {
"sphericalRange": "d",
"sphericalAzimuth": "d",
"sphericalElevation": "d",
}
class COORDINATE_SYSTEMS(Enum):
CARTESIAN = SUPPORTED_CARTESIAN_POINT_FIELDS
SPHERICAL = SUPPORTED_SPHERICAL_POINT_FIELDS
SUPPORTED_POINT_FIELDS = {
**SUPPORTED_CARTESIAN_POINT_FIELDS,
**SUPPORTED_SPHERICAL_POINT_FIELDS,
"intensity": "f",
"colorRed": "B",
"colorGreen": "B",
"colorBlue": "B",
"rowIndex": "H",
"columnIndex": "H",
"cartesianInvalidState": "b",
"sphericalInvalidState": "b",
}
class E57:
def __init__(self, path, mode="r"):
if mode not in "rw":
raise ValueError("Only 'r' and 'w' modes are supported")
self.path = path
try:
self.image_file = libe57.ImageFile(path, mode)
if mode == "w":
self.write_default_header()
except Exception as e:
try:
self.image_file.close()
os.remove(path)
except (AttributeError, WindowsError, PermissionError):
pass
raise e
def __del__(self):
self.close()
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
def close(self):
if hasattr(self, "image_file"):
self.image_file.close()
@property
def root(self):
return self.image_file.root()
@property
def data3d(self):
return self.root["data3D"]
@property
def scan_count(self):
return len(self.data3d)
def get_header(self, index):
return ScanHeader(self.data3d[index])
def write_default_header(self):
imf = self.image_file
imf.extensionsAdd("", libe57.E57_V1_0_URI)
self.root.set("formatName", libe57.StringNode(imf, "ASTM E57 3D Imaging Data File"))
self.root.set("guid", libe57.StringNode(imf, "{%s}" % uuid.uuid4()))
self.root.set("versionMajor", libe57.IntegerNode(imf, libe57.E57_FORMAT_MAJOR))
self.root.set("versionMinor", libe57.IntegerNode(imf, libe57.E57_FORMAT_MINOR))
self.root.set("e57LibraryVersion", libe57.StringNode(imf, libe57.E57_LIBRARY_ID))
self.root.set("coordinateMetadata", libe57.StringNode(imf, ""))
creation_date_time = libe57.StructureNode(imf)
creation_date_time.set("dateTimeValue", libe57.FloatNode(imf, 10.0))
creation_date_time.set("isAtomicClockReferenced", libe57.IntegerNode(imf, 0))
self.root.set("creationDateTime", creation_date_time)
self.root.set("data3D", libe57.VectorNode(imf, True))
self.root.set("images2D", libe57.VectorNode(imf, True))
def make_buffer(self, field_name, capacity, do_conversion=True, do_scaling=True):
if field_name not in SUPPORTED_POINT_FIELDS:
raise ValueError("Unsupported point field: %s" % field_name)
np_array = np.empty(capacity, SUPPORTED_POINT_FIELDS[field_name])
buffer = libe57.SourceDestBuffer(self.image_file,
field_name,
np_array,
capacity,
do_conversion,
do_scaling)
return np_array, buffer
def make_buffers(self, field_names, capacity, do_conversion=True, do_scaling=True):
data = {}
buffers = libe57.VectorSourceDestBuffer()
for field in field_names:
d, b = self.make_buffer(field, capacity, do_conversion=do_conversion, do_scaling=do_scaling)
data[field] = d
buffers.append(b)
return data, buffers
def read_scan_raw(self, index) -> Dict:
header = self.get_header(index)
data = {}
buffers = libe57.VectorSourceDestBuffer()
for field in header.point_fields:
np_array, buffer = self.make_buffer(field, header.point_count)
data[field] = np_array
buffers.append(buffer)
header.points.reader(buffers).read()
return data
def scan_position(self, index):
pt = np.array([[0, 0, 0]])
header = self.get_header(index)
return self.to_global(pt, header.rotation, header.translation)
@staticmethod
def to_global(points, rotation, translation):
rotation_matrix = Quaternion(rotation).rotation_matrix
return (np.dot(rotation_matrix, points.T) + translation.reshape(3, 1)).T
def read_scan(self,
index,
*,
intensity=False,
colors=False,
row_column=False,
transform=True,
ignore_missing_fields=False) -> Dict:
header = self.get_header(index)
n_points = header.point_count
coordinate_system = header.get_coordinate_system(COORDINATE_SYSTEMS)
if coordinate_system is COORDINATE_SYSTEMS.CARTESIAN:
validState = "cartesianInvalidState"
fields = list(SUPPORTED_CARTESIAN_POINT_FIELDS.keys())
elif coordinate_system is COORDINATE_SYSTEMS.SPHERICAL:
validState = "sphericalInvalidState"
fields = list(SUPPORTED_SPHERICAL_POINT_FIELDS.keys())
if intensity:
fields.append("intensity")
if colors:
fields.append("colorRed")
fields.append("colorGreen")
fields.append("colorBlue")
if row_column:
fields.append("rowIndex")
fields.append("columnIndex")
fields.append(validState)
for field in fields[:]:
if field not in header.point_fields:
if ignore_missing_fields:
fields.remove(field)
else:
raise ValueError("Requested to read a field (%s) with is absent from the e57 file. "
"Consider using 'ignore_missing_fields' to skip it." % field)
data, buffers = self.make_buffers(fields, n_points)
header.points.reader(buffers).read()
if validState in data:
valid = ~data[validState].astype("?")
for field in data:
data[field] = data[field][valid]
del data[validState]
if transform:
if coordinate_system is COORDINATE_SYSTEMS.CARTESIAN:
xyz = np.array([data["cartesianX"], data["cartesianY"], data["cartesianZ"]]).T
elif coordinate_system is COORDINATE_SYSTEMS.SPHERICAL:
rae = np.array([data["sphericalRange"], data["sphericalAzimuth"], data["sphericalElevation"]]).T
# rae to xyz
xyz = convert_spherical_to_cartesian(rae)
# translation to global coordinates
if header.has_pose():
xyz = self.to_global(xyz, header.rotation, header.translation)
data["cartesianX"] = xyz[:, 0]
data["cartesianY"] = xyz[:, 1]
data["cartesianZ"] = xyz[:, 2]
return data
def write_scan_raw(self, data: Dict, *, name=None, rotation=None, translation=None, scan_header=None):
for field in data.keys():
if field not in SUPPORTED_POINT_FIELDS:
raise ValueError("Unsupported point field: %s" % field)
if rotation is None:
rotation = getattr(scan_header, "rotation", np.array([1, 0, 0, 0]))
if translation is None:
translation = getattr(scan_header, "translation", np.array([0, 0, 0]))
if name is None:
name = getattr(scan_header, "name", "Scan %s" % len(self.data3d))
temperature = getattr(scan_header, "temperature", 0)
relativeHumidity = getattr(scan_header, "relativeHumidity", 0)
atmosphericPressure = getattr(scan_header, "atmosphericPressure", 0)
scan_node = libe57.StructureNode(self.image_file)
scan_node.set("guid", libe57.StringNode(self.image_file, "{%s}" % uuid.uuid4()))
scan_node.set("name", libe57.StringNode(self.image_file, name))
scan_node.set("temperature", libe57.FloatNode(self.image_file, temperature))
scan_node.set("relativeHumidity", libe57.FloatNode(self.image_file, relativeHumidity))
scan_node.set("atmosphericPressure", libe57.FloatNode(self.image_file, atmosphericPressure))
scan_node.set("description", libe57.StringNode(self.image_file, "pye57 v%s" % __version__))
n_points = data["cartesianX"].shape[0]
ibox = libe57.StructureNode(self.image_file)
if "rowIndex" in data and "columnIndex" in data:
min_row = np.min(data["rowIndex"])
max_row = np.max(data["rowIndex"])
min_col = np.min(data["columnIndex"])
max_col = np.max(data["columnIndex"])
ibox.set("rowMinimum", libe57.IntegerNode(self.image_file, min_row))
ibox.set("rowMaximum", libe57.IntegerNode(self.image_file, max_row))
ibox.set("columnMinimum", libe57.IntegerNode(self.image_file, min_col))
ibox.set("columnMaximum", libe57.IntegerNode(self.image_file, max_col))
else:
ibox.set("rowMinimum", libe57.IntegerNode(self.image_file, 0))
ibox.set("rowMaximum", libe57.IntegerNode(self.image_file, n_points - 1))
ibox.set("columnMinimum", libe57.IntegerNode(self.image_file, 0))
ibox.set("columnMaximum", libe57.IntegerNode(self.image_file, 0))
ibox.set("returnMinimum", libe57.IntegerNode(self.image_file, 0))
ibox.set("returnMaximum", libe57.IntegerNode(self.image_file, 0))
scan_node.set("indexBounds", ibox)
if "intensity" in data:
int_min = getattr(scan_header, "intensityMinimum", np.min(data["intensity"]))
int_max = getattr(scan_header, "intensityMaximum", np.max(data["intensity"]))
intbox = libe57.StructureNode(self.image_file)
intbox.set("intensityMinimum", libe57.FloatNode(self.image_file, int_min))
intbox.set("intensityMaximum", libe57.FloatNode(self.image_file, int_max))
scan_node.set("intensityLimits", intbox)
color = all(c in data for c in ["colorRed", "colorGreen", "colorBlue"])
if color:
colorbox = libe57.StructureNode(self.image_file)
colorbox.set("colorRedMinimum", libe57.IntegerNode(self.image_file, 0))
colorbox.set("colorRedMaximum", libe57.IntegerNode(self.image_file, 255))
colorbox.set("colorGreenMinimum", libe57.IntegerNode(self.image_file, 0))
colorbox.set("colorGreenMaximum", libe57.IntegerNode(self.image_file, 255))
colorbox.set("colorBlueMinimum", libe57.IntegerNode(self.image_file, 0))
colorbox.set("colorBlueMaximum", libe57.IntegerNode(self.image_file, 255))
scan_node.set("colorLimits", colorbox)
bbox_node = libe57.StructureNode(self.image_file)
x, y, z = data["cartesianX"], data["cartesianY"], data["cartesianZ"]
valid = None
if "cartesianInvalidState" in data:
valid = ~data["cartesianInvalidState"].astype("?")
x, y, z = x[valid], y[valid], z[valid]
bb_min = np.array([x.min(), y.min(), z.min()])
bb_max = np.array([x.max(), y.max(), z.max()])
del valid, x, y, z
if scan_header is not None:
bb_min_scaled = np.array([scan_header.xMinimum, scan_header.yMinimum, scan_header.zMinimum])
bb_max_scaled = np.array([scan_header.xMaximum, scan_header.yMaximum, scan_header.zMaximum])
else:
bb_min_scaled = self.to_global(bb_min.reshape(-1, 3), rotation, translation)[0]
bb_max_scaled = self.to_global(bb_max.reshape(-1, 3), rotation, translation)[0]
bbox_node.set("xMinimum", libe57.FloatNode(self.image_file, bb_min_scaled[0]))
bbox_node.set("xMaximum", libe57.FloatNode(self.image_file, bb_max_scaled[0]))
bbox_node.set("yMinimum", libe57.FloatNode(self.image_file, bb_min_scaled[1]))
bbox_node.set("yMaximum", libe57.FloatNode(self.image_file, bb_max_scaled[1]))
bbox_node.set("zMinimum", libe57.FloatNode(self.image_file, bb_min_scaled[2]))
bbox_node.set("zMaximum", libe57.FloatNode(self.image_file, bb_max_scaled[2]))
scan_node.set("cartesianBounds", bbox_node)
if rotation is not None and translation is not None:
pose_node = libe57.StructureNode(self.image_file)
scan_node.set("pose", pose_node)
rotation_node = libe57.StructureNode(self.image_file)
rotation_node.set("w", libe57.FloatNode(self.image_file, rotation[0]))
rotation_node.set("x", libe57.FloatNode(self.image_file, rotation[1]))
rotation_node.set("y", libe57.FloatNode(self.image_file, rotation[2]))
rotation_node.set("z", libe57.FloatNode(self.image_file, rotation[3]))
pose_node.set("rotation", rotation_node)
translation_node = libe57.StructureNode(self.image_file)
translation_node.set("x", libe57.FloatNode(self.image_file, translation[0]))
translation_node.set("y", libe57.FloatNode(self.image_file, translation[1]))
translation_node.set("z", libe57.FloatNode(self.image_file, translation[2]))
pose_node.set("translation", translation_node)
start_datetime = getattr(scan_header, "acquisitionStart_dateTimeValue", 0)
start_atomic = getattr(scan_header, "acquisitionStart_isAtomicClockReferenced", False)
end_datetime = getattr(scan_header, "acquisitionEnd_dateTimeValue", 0)
end_atomic = getattr(scan_header, "acquisitionEnd_isAtomicClockReferenced", False)
acquisition_start = libe57.StructureNode(self.image_file)
scan_node.set("acquisitionStart", acquisition_start)
acquisition_start.set("dateTimeValue", libe57.FloatNode(self.image_file, start_datetime))
acquisition_start.set("isAtomicClockReferenced", libe57.IntegerNode(self.image_file, start_atomic))
acquisition_end = libe57.StructureNode(self.image_file)
scan_node.set("acquisitionEnd", acquisition_end)
acquisition_end.set("dateTimeValue", libe57.FloatNode(self.image_file, end_datetime))
acquisition_end.set("isAtomicClockReferenced", libe57.IntegerNode(self.image_file, end_atomic))
# todo: pointGroupingSchemes
points_prototype = libe57.StructureNode(self.image_file)
is_scaled = False
precision = libe57.E57_DOUBLE if is_scaled else libe57.E57_SINGLE
center = (bb_max + bb_min) / 2
chunk_size = 5000000
x_node = libe57.FloatNode(self.image_file, center[0], precision, bb_min[0], bb_max[0])
y_node = libe57.FloatNode(self.image_file, center[1], precision, bb_min[1], bb_max[1])
z_node = libe57.FloatNode(self.image_file, center[2], precision, bb_min[2], bb_max[2])
points_prototype.set("cartesianX", x_node)
points_prototype.set("cartesianY", y_node)
points_prototype.set("cartesianZ", z_node)
field_names = ["cartesianX", "cartesianY", "cartesianZ"]
if "intensity" in data:
intensity_min = np.min(data["intensity"])
intensity_max = np.max(data["intensity"])
intensity_node = libe57.FloatNode(self.image_file, intensity_min, precision, intensity_min, intensity_max)
points_prototype.set("intensity", intensity_node)
field_names.append("intensity")
if all(color in data for color in ["colorRed", "colorGreen", "colorBlue"]):
points_prototype.set("colorRed", libe57.IntegerNode(self.image_file, 0, 0, 255))
points_prototype.set("colorGreen", libe57.IntegerNode(self.image_file, 0, 0, 255))
points_prototype.set("colorBlue", libe57.IntegerNode(self.image_file, 0, 0, 255))
field_names.append("colorRed")
field_names.append("colorGreen")
field_names.append("colorBlue")
if "rowIndex" in data and "columnIndex" in data:
min_row = np.min(data["rowIndex"])
max_row = np.max(data["rowIndex"])
min_col = np.min(data["columnIndex"])
max_col = np.max(data["columnIndex"])
points_prototype.set("rowIndex", libe57.IntegerNode(self.image_file, 0, min_row, max_row))
field_names.append("rowIndex")
points_prototype.set("columnIndex", libe57.IntegerNode(self.image_file, 0, min_col, max_col))
field_names.append("columnIndex")
if "cartesianInvalidState" in data:
min_state = np.min(data["cartesianInvalidState"])
max_state = np.max(data["cartesianInvalidState"])
points_prototype.set("cartesianInvalidState", libe57.IntegerNode(self.image_file, 0, min_state, max_state))
field_names.append("cartesianInvalidState")
# other fields
# // "sphericalRange"
# // "sphericalAzimuth"
# // "sphericalElevation"
# // "timeStamp"
# // "sphericalInvalidState"
# // "isColorInvalid"
# // "isIntensityInvalid"
# // "isTimeStampInvalid"
arrays, buffers = self.make_buffers(field_names, chunk_size)
codecs = libe57.VectorNode(self.image_file, True)
points = libe57.CompressedVectorNode(self.image_file, points_prototype, codecs)
scan_node.set("points", points)
self.data3d.append(scan_node)
writer = points.writer(buffers)
current_index = 0
while current_index != n_points:
current_chunk = min(n_points - current_index, chunk_size)
for type_ in SUPPORTED_POINT_FIELDS:
if type_ in arrays:
arrays[type_][:current_chunk] = data[type_][current_index:current_index + current_chunk]
writer.write(current_chunk)
current_index += current_chunk
writer.close()