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# -*- coding: utf-8 -*-
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
from __future__ import division
from ...util import keys
from ..node import Node
from ...visuals.transforms import (STTransform, MatrixTransform,
NullTransform, TransformCache)
class BaseCamera(Node):
""" Base camera class.
The Camera describes the perspective from which a ViewBox views its
subscene, and the way that user interaction affects that perspective.
Most functionality is implemented in subclasses. This base class has
no user interaction and causes the subscene to use the same coordinate
system as the ViewBox.
interactive : bool
Whether the camera processes mouse and keyboard events.
flip : tuple of bools
For each dimension, specify whether it is flipped.
up : {'+z', '-z', '+y', '-y', '+x', '-x'}
The direction that is considered up. Default '+z'. Not all
camera's may support this (yet).
parent : Node
The parent of the camera.
name : str
Name used to identify the camera in the scene.
# These define the state of the camera
_state_props = ()
# The fractional zoom to apply for a single pixel of mouse motion
zoom_factor = 0.007
def __init__(self, interactive=True, flip=None, up='+z', parent=None,
super(BaseCamera, self).__init__(parent, name)
# The viewbox for which this camera is active
self._viewbox = None
# Linked cameras
self._linked_cameras = []
self._linked_cameras_no_update = None
# Variables related to transforms
self.transform = NullTransform()
self._pre_transform = None
self._viewbox_tr = STTransform() # correction for viewbox
self._projection = MatrixTransform()
self._transform_cache = TransformCache()
# For internal use, to store event related information
self._event_value = None
# Flags
self._resetting = False # Avoid lots of updates during set_range
self._key_events_bound = False # Have we connected to key events
self._set_range_args = None # hold set_range() args
# Limits set in reset (interesting region of the scene)
self._xlim = None # None is flag that no reset has been performed
self._ylim = None
self._zlim = None
# Our default state to apply when resetting
self._default_state = None
# We initialize these parameters here, because we want these props
# available in all cameras. Note that PanZoom does not use _center
self._fov = 0.0
self._center = None
self._depth_value = 1e6 # bit+depth >= 24, otherwise should do 3e3
# Set parameters. These are all not part of the "camera state"
self.interactive = bool(interactive)
self.flip = flip if (flip is not None) else (False, False, False)
self.up = up
def depth_value(self):
"""The depth value to use in orthographic and perspective projection
For orthographic projections, ``depth_value`` is the distance between
the near and far clipping planes. For perspective projections, it is
the ratio between the near and far clipping plane distances.
GL has a fixed amount of precision in the depth buffer, and a fixed
constant will not work for both a very large range and very high
precision. This property provides the user a way to override
the default value if necessary.
return self._depth_value
def depth_value(self, value):
value = float(value)
if value <= 0:
raise ValueError('depth value must be positive')
self._depth_value = value
def _depth_to_z(self, depth):
""" Get the z-coord, given the depth value.
val = self.depth_value
return val - depth * 2 * val
def _viewbox_set(self, viewbox):
""" Friend method of viewbox to register itself.
self._viewbox = viewbox
# Connect
# todo: also add key events! (and also on viewbox (they're missing)
def _viewbox_unset(self, viewbox):
""" Friend method of viewbox to unregister itself.
self._viewbox = None
# Disconnect
def viewbox(self):
""" The viewbox that this camera applies to.
return self._viewbox
## Camera attributes
def interactive(self):
""" Boolean describing whether the camera should enable or disable
user interaction.
return self._interactive
def interactive(self, value):
self._interactive = bool(value)
def flip(self):
return self._flip
def flip(self, value):
if not isinstance(value, (list, tuple)):
raise ValueError('Flip must be a tuple or list.')
if len(value) == 2:
self._flip = bool(value[0]), bool(value[1]), False
elif len(value) == 3:
self._flip = bool(value[0]), bool(value[1]), bool(value[2])
raise ValueError('Flip must have 2 or 3 elements.')
self._flip_factors = tuple([(1-x*2) for x in self._flip])
def up(self):
""" The dimension that is considered up.
return self._up
def up(self, value):
value = value.lower()
value = ('+' + value) if value in 'zyx' else value
if value not in ('+z', '-z', '+y', '-y', '+x', '-x'):
raise ValueError('Invalid value for up.')
self._up = value
def center(self):
""" The center location for this camera
The exact meaning of this value differs per type of camera, but
generally means the point of interest or the rotation point.
return self._center or (0, 0, 0)
def center(self, val):
if len(val) == 2:
self._center = float(val[0]), float(val[1]), 0.0
elif len(val) == 3:
self._center = float(val[0]), float(val[1]), float(val[2])
raise ValueError('Center must be a 2 or 3 element tuple')
def fov(self):
""" Field-of-view angle of the camera. If 0, the camera is in
orthographic mode.
return self._fov
def fov(self, fov):
fov = float(fov)
if fov < 0 or fov >= 180:
raise ValueError("fov must be between 0 and 180.")
self._fov = fov
## Camera methods
def set_range(self, x=None, y=None, z=None, margin=0.05):
""" Set the range of the view region for the camera
x : tuple | None
X range.
y : tuple | None
Y range.
z : tuple | None
Z range.
margin : float
Margin to use.
The view is set to the given range or to the scene boundaries
if ranges are not specified. The ranges should be 2-element
tuples specifying the min and max for each dimension.
For the PanZoomCamera the view is fully defined by the range.
For e.g. the TurntableCamera the elevation and azimuth are not
set. One should use reset() for that.
# Flag to indicate that this is an initializing (not user-invoked)
init = self._xlim is None
# Collect given bounds
bounds = [None, None, None]
if x is not None:
bounds[0] = float(x[0]), float(x[1])
if y is not None:
bounds[1] = float(y[0]), float(y[1])
if z is not None:
bounds[2] = float(z[0]), float(z[1])
# If there is no viewbox, store given bounds in lim variables, and stop
if self._viewbox is None:
self._set_range_args = bounds[0], bounds[1], bounds[2], margin
# There is a viewbox, we're going to set the range for real
self._resetting = True
# Get bounds from viewbox if not given
if all([(b is None) for b in bounds]):
bounds = self._viewbox.get_scene_bounds()
for i in range(3):
if bounds[i] is None:
bounds[i] = self._viewbox.get_scene_bounds(i)
# Calculate ranges and margins
ranges = [b[1] - b[0] for b in bounds]
margins = [(r*margin or 0.1) for r in ranges]
# Assign limits for this camera
bounds_margins = [(b[0]-m, b[1]+m) for b, m in zip(bounds, margins)]
self._xlim, self._ylim, self._zlim = bounds_margins
# Store center location
if (not init) or (self._center is None):
self._center = [(b[0] + r / 2) for b, r in zip(bounds, ranges)]
# Let specific camera handle it
# Finish
self._resetting = False
def _set_range(self, init):
def reset(self):
""" Reset the view to the default state.
def set_default_state(self):
""" Set the current state to be the default state to be applied
when calling reset().
self._default_state = self.get_state()
def get_state(self):
""" Get the current view state of the camera
Returns a dict of key-value pairs. The exact keys depend on the
camera. Can be passed to set_state() (of this or another camera
of the same type) to reproduce the state.
D = {}
for key in self._state_props:
D[key] = getattr(self, key)
return D
def set_state(self, state=None, **kwargs):
""" Set the view state of the camera
Should be a dict (or kwargs) as returned by get_state. It can
be an incomlete dict, in which case only the specified
properties are set.
state : dict
The camera state.
**kwargs : dict
Unused keyword arguments.
D = state or {}
for key, val in D.items():
if key not in self._state_props:
raise KeyError('Not a valid camera state property %r' % key)
setattr(self, key, val)
def link(self, camera):
""" Link this camera with another camera of the same type
Linked camera's keep each-others' state in sync.
camera : instance of Camera
The other camera to link.
cam1, cam2 = self, camera
# Remove if already linked
while cam1 in cam2._linked_cameras:
while cam2 in cam1._linked_cameras:
# Link both ways
## Event-related methods
def view_changed(self):
""" Called when this camera is changes its view. Also called
when its associated with a viewbox.
if self._resetting:
return # don't update anything while resetting (are in set_range)
if self._viewbox:
# Set range if necessary
if self._xlim is None:
args = self._set_range_args or ()
# Store default state if we have not set it yet
if self._default_state is None:
# Do the actual update
def pre_transform(self):
""" A transform to apply to the beginning of the scene transform, in
addition to anything else provided by this Camera.
return self._pre_transform
def pre_transform(self, tr):
self._pre_transform = tr
def viewbox_mouse_event(self, event):
"""Viewbox mouse event handler
event : instance of Event
The event.
def on_canvas_change(self, event):
"""Canvas change event handler
event : instance of Event
The event.
# Connect key events from canvas to camera.
# TODO: canvas should keep track of a single node with keyboard focus.
if event.old is not None:
if is not None:
def viewbox_key_event(self, event):
"""ViewBox key event handler
event : instance of Event
The event.
if event.key == keys.BACKSPACE:
def viewbox_resize_event(self, event):
"""The ViewBox resize handler to update the transform
event : instance of Event
The event.
def _update_transform(self):
""" Subclasses should reimplement this method to update the scene
transform by calling self._set_scene_transform.
def _set_scene_transform(self, tr):
""" Called by subclasses to configure the viewbox scene transform.
# todo: check whether transform has changed, connect to
# transform.changed event
pre_tr = self.pre_transform
if pre_tr is None:
self._scene_transform = tr
self._scene_transform = self._transform_cache.get([pre_tr, tr])
# Mark the transform dynamic so that it will not be collapsed with
# others
self._scene_transform.dynamic = True
# Update scene
self._viewbox.scene.transform = self._scene_transform
# Apply same state to linked cameras, but prevent that camera
# to return the favor
for cam in self._linked_cameras:
if cam is self._linked_cameras_no_update:
cam._linked_cameras_no_update = self
cam._linked_cameras_no_update = None