/usr/lib/python2.7/dist-packages/dipy/viz/window.py is in python-dipy 0.10.1-1.
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The actual contents of the file can be viewed below.
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import numpy as np
from scipy import ndimage
from copy import copy
try:
import Tkinter as tkinter
has_tkinter = True
except ImportError:
try:
import tkinter
has_tkinter = True
except ImportError:
has_tkinter = False
try:
import tkFileDialog as filedialog
except ImportError:
try:
from tkinter import filedialog
except ImportError:
has_tkinter = False
# Conditional import machinery for vtk
from dipy.utils.optpkg import optional_package
from dipy import __version__ as dipy_version
from dipy.utils.six import string_types
# import vtk
# Allow import, but disable doctests if we don't have vtk
vtk, have_vtk, setup_module = optional_package('vtk')
colors, have_vtk_colors, _ = optional_package('vtk.util.colors')
numpy_support, have_ns, _ = optional_package('vtk.util.numpy_support')
_, have_imread, _ = optional_package('Image')
if have_vtk:
version = vtk.vtkVersion.GetVTKSourceVersion().split(' ')[-1]
major_version = vtk.vtkVersion.GetVTKMajorVersion()
from vtk.util.numpy_support import vtk_to_numpy
vtkRenderer = vtk.vtkRenderer
else:
vtkRenderer = object
if have_imread:
from scipy.misc import imread
class Renderer(vtkRenderer):
""" Your scene class
This is an important object that is responsible for preparing objects
e.g. actors and volumes for rendering. This is a more pythonic version
of ``vtkRenderer`` proving simple methods for adding and removing actors
but also it provides access to all the functionality
available in ``vtkRenderer`` if necessary.
"""
def background(self, color):
""" Set a background color
"""
self.SetBackground(color)
def add(self, actor):
""" Add an actor to the renderer
"""
if isinstance(actor, vtk.vtkVolume):
self.AddVolume(actor)
else:
self.AddActor(actor)
def rm(self, actor):
""" Remove a specific actor
"""
self.RemoveActor(actor)
def clear(self):
""" Remove all actors from the renderer
"""
self.RemoveAllViewProps()
def rm_all(self):
""" Remove all actors from the renderer
"""
self.RemoveAllViewProps()
def projection(self, proj_type='perspective'):
""" Deside between parallel or perspective projection
Parameters
----------
proj_type : str
Can be 'parallel' or 'perspective' (default).
"""
if proj_type == 'parallel':
self.GetActiveCamera().ParallelProjectionOn()
else:
self.GetActiveCamera().ParallelProjectionOff()
def reset_camera(self):
""" Reset the camera to an automatic position given by the engine.
"""
self.ResetCamera()
def reset_clipping_range(self):
self.ResetCameraClippingRange()
def camera(self):
return self.GetActiveCamera()
def get_camera(self):
cam = self.GetActiveCamera()
return cam.GetPosition(), cam.GetFocalPoint(), cam.GetViewUp()
def camera_info(self):
cam = self.camera()
print('# Active Camera')
print(' Position (%.2f, %.2f, %.2f)' % cam.GetPosition())
print(' Focal Point (%.2f, %.2f, %.2f)' % cam.GetFocalPoint())
print(' View Up (%.2f, %.2f, %.2f)' % cam.GetViewUp())
def set_camera(self, position=None, focal_point=None, view_up=None):
if position is not None:
self.GetActiveCamera().SetPosition(*position)
if focal_point is not None:
self.GetActiveCamera().SetFocalPoint(*focal_point)
if view_up is not None:
self.GetActiveCamera().SetViewUp(*view_up)
self.ResetCameraClippingRange()
def size(self):
""" Renderer size"""
return self.GetSize()
def zoom(self, value):
""" In perspective mode, decrease the view angle by the specified
factor. In parallel mode, decrease the parallel scale by the specified
factor. A value greater than 1 is a zoom-in, a value less than 1 is a
zoom-out.
"""
self.GetActiveCamera().Zoom(value)
def azimuth(self, angle):
""" Rotate the camera about the view up vector centered at the focal
point. Note that the view up vector is whatever was set via SetViewUp,
and is not necessarily perpendicular to the direction of projection.
The result is a horizontal rotation of the camera.
"""
self.GetActiveCamera().Azimuth(angle)
def yaw(self, angle):
""" Rotate the focal point about the view up vector, using the camera's
position as the center of rotation. Note that the view up vector is
whatever was set via SetViewUp, and is not necessarily perpendicular
to the direction of projection. The result is a horizontal rotation of
the scene.
"""
self.GetActiveCamera().Yaw(angle)
def elevation(self, angle):
""" Rotate the camera about the cross product of the negative of the
direction of projection and the view up vector, using the focal point
as the center of rotation. The result is a vertical rotation of the
scene.
"""
self.GetActiveCamera().Elevation(angle)
def pitch(self, angle):
""" Rotate the focal point about the cross product of the view up
vector and the direction of projection, using the camera's position as
the center of rotation. The result is a vertical rotation of the
camera.
"""
self.GetActiveCamera().Pitch(angle)
def roll(self, angle):
""" Rotate the camera about the direction of projection. This will
spin the camera about its axis.
"""
self.GetActiveCamera().Roll(angle)
def dolly(self, value):
""" Divide the camera's distance from the focal point by the given
dolly value. Use a value greater than one to dolly-in toward the focal
point, and use a value less than one to dolly-out away from the focal
point.
"""
self.GetActiveCamera().Dolly(value)
def camera_direction(self):
""" Get the vector in the direction from the camera position to the
focal point. This is usually the opposite of the ViewPlaneNormal, the
vector perpendicular to the screen, unless the view is oblique.
"""
return self.GetActiveCamera().GetDirectionOfProjection()
def renderer(background=None):
""" Create a renderer.
Parameters
----------
background : tuple
Initial background color of renderer
Returns
-------
v : Renderer
Examples
--------
>>> from dipy.viz import fvtk
>>> import numpy as np
>>> r=fvtk.ren()
>>> lines=[np.random.rand(10,3)]
>>> c=fvtk.line(lines, fvtk.colors.red)
>>> fvtk.add(r,c)
>>> #fvtk.show(r)
"""
ren = Renderer()
if background is not None:
ren.SetBackground(background)
return ren
if have_vtk:
ren = renderer
def add(ren, a):
""" Add a specific actor
"""
ren.add(a)
def rm(ren, a):
""" Remove a specific actor
"""
ren.rm(a)
def clear(ren):
""" Remove all actors from the renderer
"""
ren.clear()
def rm_all(ren):
""" Remove all actors from the renderer
"""
ren.rm_all()
def open_file_dialog(file_types=[("All files", "*")]):
""" Simple Tk file dialog for opening files
Parameters
----------
file_types : tuples of tuples
Accepted file types.
Returns
-------
file_paths : sequence of str
Returns the full paths of all selected files
"""
root = tkinter.Tk()
root.withdraw()
file_paths = filedialog.askopenfilenames(filetypes=file_types)
return file_paths
def save_file_dialog(initial_file='dipy.png', default_ext='.png',
file_types=(("PNG file", "*.png"), ("All Files", "*.*"))):
""" Simple Tk file dialog for saving a file
Parameters
----------
initial_file : str
For example ``dipy.png``.
default_ext : str
Default extension to appear in the save dialog.
file_types : tuples of tuples
Accepted file types.
Returns
-------
filepath : str
Complete filename of saved file
"""
root = tkinter.Tk()
root.withdraw()
file_path = filedialog.asksaveasfilename(initialfile=initial_file,
defaultextension=default_ext,
filetypes=file_types)
return file_path
class ShowManager(object):
""" This class is the interface between the renderer, the window and the
interactor.
"""
def __init__(self, ren, title='DIPY', size=(300, 300),
png_magnify=1, reset_camera=True, order_transparent=False,
interactor_style='trackball'):
""" Manages the visualization pipeline
Parameters
----------
ren : Renderer() or vtkRenderer()
The scene that holds all the actors.
title : string
A string for the window title bar.
size : (int, int)
``(width, height)`` of the window. Default is (300, 300).
png_magnify : int
Number of times to magnify the screenshot. This can be used to save
high resolution screenshots when pressing 's' inside the window.
reset_camera : bool
Default is True. You can change this option to False if you want to
keep the camera as set before calling this function.
order_transparent : bool
True is useful when you want to order transparent
actors according to their relative position to the camera. The
default option which is False will order the actors according to
the order of their addition to the Renderer().
interactor_style : str or vtkInteractorStyle
If str then if 'trackball' then vtkInteractorStyleTrackballCamera()
is used or if 'image' then vtkInteractorStyleImage() is used (no
rotation). Otherwise you can input your own interactor style.
Attributes
----------
ren : vtkRenderer()
iren : vtkRenderWindowInteractor()
style : vtkInteractorStyle()
window : vtkRenderWindow()
Methods
-------
initialize()
render()
start()
add_window_callback()
Notes
-----
Default interaction keys for
* 3d navigation are with left, middle and right mouse dragging
* resetting the camera press 'r'
* saving a screenshot press 's'
* for quiting press 'q'
Examples
--------
>>> from dipy.viz import actor, window
>>> renderer = window.Renderer()
>>> renderer.add(actor.axes())
>>> showm = window.ShowManager(renderer)
>>> # showm.initialize()
>>> # showm.render()
>>> # showm.start()
"""
self.ren = ren
self.title = title
self.size = size
self.png_magnify = png_magnify
self.reset_camera = reset_camera
self.order_transparent = order_transparent
self.interactor_style = interactor_style
if self.reset_camera:
self.ren.ResetCamera()
self.window = vtk.vtkRenderWindow()
self.window.AddRenderer(ren)
if self.title == 'DIPY':
self.window.SetWindowName(title + ' ' + dipy_version)
else:
self.window.SetWindowName(title)
self.window.SetSize(size[0], size[1])
if self.order_transparent:
# Use a render window with alpha bits
# as default is 0 (false))
self.window.SetAlphaBitPlanes(True)
# Force to not pick a framebuffer with a multisample buffer
# (default is 8)
self.window.SetMultiSamples(0)
# Choose to use depth peeling (if supported)
# (default is 0 (false)):
self.ren.UseDepthPeelingOn()
# Set depth peeling parameters
# Set the maximum number of rendering passes (default is 4)
ren.SetMaximumNumberOfPeels(4)
# Set the occlusion ratio (initial value is 0.0, exact image):
ren.SetOcclusionRatio(0.0)
if self.interactor_style == 'image':
self.style = vtk.vtkInteractorStyleImage()
elif self.interactor_style == 'trackball':
self.style = vtk.vtkInteractorStyleTrackballCamera()
else:
self.style = interactor_style
self.iren = vtk.vtkRenderWindowInteractor()
self.iren.SetRenderWindow(self.window)
def key_press_standard(obj, event):
key = obj.GetKeySym()
if key == 's' or key == 'S':
print('Saving image...')
renderLarge = vtk.vtkRenderLargeImage()
if major_version <= 5:
renderLarge.SetInput(ren)
else:
renderLarge.SetInput(ren)
renderLarge.SetMagnification(png_magnify)
renderLarge.Update()
file_types = (("PNG file", "*.png"), ("All Files", "*.*"))
filepath = save_file_dialog(initial_file='dipy.png',
default_ext='.png',
file_types=file_types)
if filepath == '':
print('No file was provided in the dialog')
else:
writer = vtk.vtkPNGWriter()
writer.SetInputConnection(renderLarge.GetOutputPort())
writer.SetFileName(filepath)
writer.Write()
print('File ' + filepath + ' is saved.')
self.iren.AddObserver('KeyPressEvent', key_press_standard)
self.iren.SetInteractorStyle(self.style)
def initialize(self):
""" Initialize interaction
"""
self.iren.Initialize()
# picker.Pick(85, 126, 0, ren)
def render(self):
""" Renders only once
"""
self.window.Render()
def start(self):
""" Starts interaction
"""
try:
self.iren.Start()
except AttributeError:
self.__init__(self.ren, self.title, size=self.size,
png_magnify=self.png_magnify,
reset_camera=self.reset_camera,
order_transparent=self.order_transparent,
interactor_style=self.interactor_style)
self.initialize()
self.render()
self.iren.Start()
# window.RemoveAllObservers()
# ren.SetRenderWindow(None)
self.window.RemoveRenderer(self.ren)
self.ren.SetRenderWindow(None)
del self.iren
del self.window
def add_window_callback(self, win_callback):
""" Add window callbacks
"""
self.window.AddObserver(vtk.vtkCommand.ModifiedEvent, win_callback)
self.window.Render()
def show(ren, title='DIPY', size=(300, 300),
png_magnify=1, reset_camera=True, order_transparent=False):
""" Show window with current renderer
Parameters
------------
ren : Renderer() or vtkRenderer()
The scene that holds all the actors.
title : string
A string for the window title bar. Default is DIPY and current version.
size : (int, int)
``(width, height)`` of the window. Default is (300, 300).
png_magnify : int
Number of times to magnify the screenshot. Default is 1. This can be
used to save high resolution screenshots when pressing 's' inside the
window.
reset_camera : bool
Default is True. You can change this option to False if you want to
keep the camera as set before calling this function.
order_transparent : bool
True is useful when you want to order transparent
actors according to their relative position to the camera. The default
option which is False will order the actors according to the order of
their addition to the Renderer().
Notes
-----
Default interaction keys for
* 3d navigation are with left, middle and right mouse dragging
* resetting the camera press 'r'
* saving a screenshot press 's'
* for quiting press 'q'
Examples
----------
>>> import numpy as np
>>> from dipy.viz import fvtk
>>> r=fvtk.ren()
>>> lines=[np.random.rand(10,3),np.random.rand(20,3)]
>>> colors=np.array([[0.2,0.2,0.2],[0.8,0.8,0.8]])
>>> c=fvtk.line(lines,colors)
>>> fvtk.add(r,c)
>>> l=fvtk.label(r)
>>> fvtk.add(r,l)
>>> #fvtk.show(r)
See also
---------
dipy.viz.window.record
dipy.viz.window.snapshot
"""
show_manager = ShowManager(ren, title, size,
png_magnify, reset_camera, order_transparent)
show_manager.initialize()
show_manager.render()
show_manager.start()
def record(ren=None, cam_pos=None, cam_focal=None, cam_view=None,
out_path=None, path_numbering=False, n_frames=1, az_ang=10,
magnification=1, size=(300, 300), reset_camera=True, verbose=False):
""" This will record a video of your scene
Records a video as a series of ``.png`` files of your scene by rotating the
azimuth angle az_angle in every frame.
Parameters
-----------
ren : vtkRenderer() object
as returned from function ren()
cam_pos : None or sequence (3,), optional
Camera's position. If None then default camera's position is used.
cam_focal : None or sequence (3,), optional
Camera's focal point. If None then default camera's focal point is
used.
cam_view : None or sequence (3,), optional
Camera's view up direction. If None then default camera's view up
vector is used.
out_path : str, optional
Output path for the frames. If None a default dipy.png is created.
path_numbering : bool
When recording it changes out_path to out_path + str(frame number)
n_frames : int, optional
Number of frames to save, default 1
az_ang : float, optional
Azimuthal angle of camera rotation.
magnification : int, optional
How much to magnify the saved frame. Default is 1.
size : (int, int)
``(width, height)`` of the window. Default is (300, 300).
reset_camera : bool
If True Call ``ren.reset_camera()``. Otherwise you need to set the
camera before calling this function.
verbose : bool
print information about the camera. Default is False.
Examples
---------
>>> from dipy.viz import fvtk
>>> r=fvtk.ren()
>>> a=fvtk.axes()
>>> fvtk.add(r,a)
>>> #uncomment below to record
>>> #fvtk.record(r)
>>> #check for new images in current directory
"""
if ren is None:
ren = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.AddRenderer(ren)
renWin.SetSize(size[0], size[1])
iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)
# ren.GetActiveCamera().Azimuth(180)
if reset_camera:
ren.ResetCamera()
renderLarge = vtk.vtkRenderLargeImage()
if major_version <= 5:
renderLarge.SetInput(ren)
else:
renderLarge.SetInput(ren)
renderLarge.SetMagnification(magnification)
renderLarge.Update()
writer = vtk.vtkPNGWriter()
ang = 0
if cam_pos is not None:
cx, cy, cz = cam_pos
ren.GetActiveCamera().SetPosition(cx, cy, cz)
if cam_focal is not None:
fx, fy, fz = cam_focal
ren.GetActiveCamera().SetFocalPoint(fx, fy, fz)
if cam_view is not None:
ux, uy, uz = cam_view
ren.GetActiveCamera().SetViewUp(ux, uy, uz)
cam = ren.GetActiveCamera()
if verbose:
print('Camera Position (%.2f, %.2f, %.2f)' % cam.GetPosition())
print('Camera Focal Point (%.2f, %.2f, %.2f)' % cam.GetFocalPoint())
print('Camera View Up (%.2f, %.2f, %.2f)' % cam.GetViewUp())
for i in range(n_frames):
ren.GetActiveCamera().Azimuth(ang)
renderLarge = vtk.vtkRenderLargeImage()
renderLarge.SetInput(ren)
renderLarge.SetMagnification(magnification)
renderLarge.Update()
writer.SetInputConnection(renderLarge.GetOutputPort())
if path_numbering:
if out_path is None:
filename = str(i).zfill(6) + '.png'
else:
filename = out_path + str(i).zfill(6) + '.png'
else:
if out_path is None:
filename = 'dipy.png'
else:
filename = out_path
writer.SetFileName(filename)
writer.Write()
ang = +az_ang
def snapshot(ren, fname=None, size=(300, 300), offscreen=True,
order_transparent=False):
""" Saves a snapshot of the renderer in a file or in memory
Parameters
-----------
ren : vtkRenderer
as returned from function renderer()
fname : str or None
Save PNG file. If None return only an array without saving PNG.
size : (int, int)
``(width, height)`` of the window. Default is (300, 300).
offscreen : bool
Default True. Go stealthmode no window should appear.
order_transparent : bool
Default False. Use depth peeling to sort transparent objects.
Returns
-------
arr : ndarray
Color array of size (width, height, 3) where the last dimension
holds the RGB values.
"""
width, height = size
if offscreen:
graphics_factory = vtk.vtkGraphicsFactory()
graphics_factory.SetOffScreenOnlyMode(1)
# TODO check if the line below helps in something
# graphics_factory.SetUseMesaClasses(1)
render_window = vtk.vtkRenderWindow()
if offscreen:
render_window.SetOffScreenRendering(1)
render_window.AddRenderer(ren)
render_window.SetSize(width, height)
if order_transparent:
# Use a render window with alpha bits
# as default is 0 (false))
render_window.SetAlphaBitPlanes(True)
# Force to not pick a framebuffer with a multisample buffer
# (default is 8)
render_window.SetMultiSamples(0)
# Choose to use depth peeling (if supported)
# (default is 0 (false)):
ren.UseDepthPeelingOn()
# Set depth peeling parameters
# Set the maximum number of rendering passes (default is 4)
ren.SetMaximumNumberOfPeels(4)
# Set the occlusion ratio (initial value is 0.0, exact image):
ren.SetOcclusionRatio(0.0)
render_window.Render()
window_to_image_filter = vtk.vtkWindowToImageFilter()
window_to_image_filter.SetInput(render_window)
window_to_image_filter.Update()
vtk_image = window_to_image_filter.GetOutput()
h, w, _ = vtk_image.GetDimensions()
vtk_array = vtk_image.GetPointData().GetScalars()
components = vtk_array.GetNumberOfComponents()
arr = vtk_to_numpy(vtk_array).reshape(h, w, components)
if fname is None:
return arr
writer = vtk.vtkPNGWriter()
writer.SetFileName(fname)
writer.SetInputConnection(window_to_image_filter.GetOutputPort())
writer.Write()
return arr
def analyze_renderer(ren):
class ReportRenderer(object):
bg_color = None
report = ReportRenderer()
report.bg_color = ren.GetBackground()
report.collection = ren.GetActors()
report.actors = report.collection.GetNumberOfItems()
report.collection.InitTraversal()
report.actors_classnames = []
for i in range(report.actors):
class_name = report.collection.GetNextActor().GetClassName()
report.actors_classnames.append(class_name)
return report
def analyze_snapshot(im, bg_color=(0, 0, 0), colors=None,
find_objects=True,
strel=None):
""" Analyze snapshot from memory or file
Parameters
----------
im: str or array
If string then the image is read from a file otherwise the image is
read from a numpy array. The array is expected to be of shape (X, Y, 3)
where the last dimensions are the RGB values.
colors: tuple (3,) or list of tuples (3,)
List of colors to search in the image
find_objects: bool
If True it will calculate the number of objects that are different
from the background and return their position in a new image.
strel: 2d array
Structure element to use for finding the objects.
Returns
-------
report : ReportSnapshot
This is an object with attibutes like ``colors_found`` that give
information about what was found in the current snapshot array ``im``.
"""
if isinstance(im, string_types):
im = imread(im)
class ReportSnapshot(object):
objects = None
labels = None
colors_found = False
report = ReportSnapshot()
if colors is not None:
if isinstance(colors, tuple):
colors = [colors]
flags = [False] * len(colors)
for (i, col) in enumerate(colors):
# find if the current color exist in the array
flags[i] = np.any(np.all(im == col, axis=-1))
report.colors_found = flags
if find_objects is True:
weights = [0.299, 0.587, 0.144]
gray = np.dot(im[..., :3], weights)
bg_color = im[0, 0]
background = np.dot(bg_color, weights)
if strel is None:
strel = np.array([[0, 1, 0],
[1, 1, 1],
[0, 1, 0]])
labels, objects = ndimage.label(gray != background, strel)
report.labels = labels
report.objects = objects
return report
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