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"""This module provides classes supporting item picking.
"""
__authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "24/09/2018"
import logging
import numpy
from ...plot.items._pick import PickingResult as _PickingResult
from ..scene import Viewport, Base
_logger = logging.getLogger(__name__)
class PickContext(object):
"""Store information related to current picking
:param int x: Widget coordinate
:param int y: Widget coordinate
:param ~silx.gui.plot3d.scene.Viewport viewport:
Viewport where picking occurs
:param Union[None,callable] condition:
Test whether each item needs to be picked or not.
"""
def __init__(self, x, y, viewport, condition):
self._widgetPosition = x, y
assert isinstance(viewport, Viewport)
self._viewport = viewport
self._ndcZRange = -1.0, 1.0
self._enabled = True
self._condition = condition
def copy(self):
"""Returns a copy
:rtype: PickContent
"""
x, y = self.getWidgetPosition()
context = PickContext(x, y, self.getViewport(), self._condition)
context.setNDCZRange(*self._ndcZRange)
context.setEnabled(self.isEnabled())
return context
def isItemPickable(self, item):
"""Check condition for the given item.
:param Item3D item:
:return: Whether to process the item (True) or to skip it (False)
:rtype: bool
"""
return self._condition is None or self._condition(item)
def getViewport(self):
"""Returns viewport where picking occurs
:rtype: ~silx.gui.plot3d.scene.Viewport
"""
return self._viewport
def getWidgetPosition(self):
"""Returns (x, y) position in pixel in the widget
Origin is at the top-left corner of the widget,
X from left to right, Y goes downward.
:rtype: List[int]
"""
return self._widgetPosition
def setEnabled(self, enabled):
"""Set whether picking is enabled or not
:param bool enabled: True to enable picking, False otherwise
"""
self._enabled = bool(enabled)
def isEnabled(self):
"""Returns True if picking is currently enabled, False otherwise.
:rtype: bool
"""
return self._enabled
def setNDCZRange(self, near=-1.0, far=1.0):
"""Set near and far Z value in normalized device coordinates
This allows to clip the ray to a subset of the NDC range
:param float near: Near segment end point Z coordinate
:param float far: Far segment end point Z coordinate
"""
self._ndcZRange = near, far
def getNDCPosition(self):
"""Return Normalized device coordinates of picked point.
:return: (x, y) in NDC coordinates or None if outside viewport.
:rtype: Union[None,List[float]]
"""
if not self.isEnabled():
return None
# Convert x, y from window to NDC
x, y = self.getWidgetPosition()
return self.getViewport().windowToNdc(x, y, checkInside=True)
def getPickingSegment(self, frame):
"""Returns picking segment in requested coordinate frame.
:param Union[str,Base] frame:
The frame in which to get the picking segment,
either a keyword: 'ndc', 'camera', 'scene' or a scene
:class:`~silx.gui.plot3d.scene.Base` object.
:return: Near and far points of the segment as (x, y, z, w)
or None if picked point is outside viewport
:rtype: Union[None,numpy.ndarray]
"""
assert frame in ("ndc", "camera", "scene") or isinstance(frame, Base)
positionNdc = self.getNDCPosition()
if positionNdc is None:
return None
near, far = self._ndcZRange
rayNdc = numpy.array(
(positionNdc + (near, 1.0), positionNdc + (far, 1.0)), dtype=numpy.float64
)
if frame == "ndc":
return rayNdc
viewport = self.getViewport()
rayCamera = viewport.camera.intrinsic.transformPoints(
rayNdc, direct=False, perspectiveDivide=True
)
if frame == "camera":
return rayCamera
rayScene = viewport.camera.extrinsic.transformPoints(rayCamera, direct=False)
if frame == "scene":
return rayScene
# frame is a scene Base object
rayObject = frame.objectToSceneTransform.transformPoints(rayScene, direct=False)
return rayObject
[docs]
class PickingResult(_PickingResult):
"""Class to access picking information in a 3D scene."""
def __init__(self, item, positions, indices=None, fetchdata=None):
"""Init
:param ~silx.gui.plot3d.items.Item3D item: The picked item
:param numpy.ndarray positions:
Nx3 array-like of picked positions (x, y, z) in item coordinates.
:param numpy.ndarray indices: Array-like of indices of picked data.
Either 1D or 2D with dim0: data dimension and dim1: indices.
No copy is made.
:param callable fetchdata: Optional function with a bool copy argument
to provide an alternative function to access item data.
Default is to use `item.getData`.
"""
super(PickingResult, self).__init__(item, indices)
self._objectPositions = numpy.array(positions, copy=False, dtype=numpy.float64)
# Store matrices to generate positions on demand
primitive = item._getScenePrimitive()
self._objectToSceneTransform = primitive.objectToSceneTransform
self._objectToNDCTransform = primitive.objectToNDCTransform
self._scenePositions = None
self._ndcPositions = None
self._fetchdata = fetchdata
[docs]
def getData(self, copy=True):
"""Returns picked data values
:param bool copy: True (default) to get a copy,
False to return internal arrays
:rtype: Union[None,numpy.ndarray]
"""
indices = self.getIndices(copy=False)
if indices is None or len(indices) == 0:
return None
item = self.getItem()
if self._fetchdata is None:
if hasattr(item, "getData"):
data = item.getData(copy=False)
else:
return None
else:
data = self._fetchdata(copy=False)
return numpy.array(data[indices], copy=copy)
[docs]
def getPositions(self, frame="scene", copy=True):
"""Returns picking positions in item coordinates.
:param str frame: The frame in which the positions are returned
Either 'scene' for world space,
'ndc' for normalized device coordinates or 'object' for item frame.
:param bool copy: True (default) to get a copy,
False to return internal arrays
:return: Nx3 array of (x, y, z) coordinates
:rtype: numpy.ndarray
"""
if frame == "ndc":
if self._ndcPositions is None: # Lazy-loading
self._ndcPositions = self._objectToNDCTransform.transformPoints(
self._objectPositions, perspectiveDivide=True
)
positions = self._ndcPositions
elif frame == "scene":
if self._scenePositions is None: # Lazy-loading
self._scenePositions = self._objectToSceneTransform.transformPoints(
self._objectPositions
)
positions = self._scenePositions
elif frame == "object":
positions = self._objectPositions
else:
raise ValueError("Unsupported frame argument: %s" % str(frame))
return numpy.array(positions, copy=copy)
