# Oculus Rift head-mounted display example for rendering 3D with head tracking.
# Press the 'q' key or use the application GUI to exit. Press 'r' to recenter
# the HMD's view. Requires PsychXR to be installed.
#
# This file is public domain.
#
from psychopy import visual, event, core
from psychopy.tools.rifttools import * # math types are accessed from here
import pyglet.gl as GL
import math
# Create a VR session, treat the returned object just like a regular window.
# Change headLocked to True to disable head tracking, increase the number of
# samples for anti-aliasing, could be 2, 4, 6, 8, 16 or 32 depending on your
# hardware.
hmd = visual.Rift(headLocked=False, samples=1)
# loop until the user quits the app through the GUI menu
stopApp = False
while not stopApp:
for i in ('left', 'right'):
hmd.setBuffer(i) # select the eye buffer to draw to
# Setup the viewing parameters for the current buffer, this needs to be
# called every time the buffer changes.
#
# Use setRiftView to setup the projection and view matrices
# automatically from data provided by the API. Take note of which eye
# buffer is active when rendering.
#
hmd.setRiftView()
# Oculus Rift head-mounted display example for rendering 3D with head tracking.
# Press the 'q' key or use the application GUI to exit. Press 'r' to recenter
# the HMD's view. Requires PsychXR 0.2+ to be installed.
#
# This file is public domain.
#
from psychopy import visual, event, core
from psychopy.tools import arraytools, rifttools
import pyglet.gl as GL
# Create a VR session, treat the returned object just like a regular window.
# Increase the number of samples for anti-aliasing, could be 2, 4, 6, 8, 16 or
# 32 depending on your hardware. The GLFW backend is preferred when using VR.
hmd = visual.Rift(samples=1, color=(0, 0, 0), colorSpace='rgb', winType='glfw')
# Create a LibOVRPose object to represent the rigid body pose of the triangle in
# the scene. The position of the triangle will be 2 meters away from the user at
# eye height which we obtain from the HMD's settings.
trianglePosition = (0., hmd.eyeHeight, -2.)
trianglePose = rifttools.LibOVRPose(trianglePosition)
# convert the pose to a view transformation matrix
translationMatrix = trianglePose.getModelMatrix()
# convert to format Pyglet's GL libraries accept
translationMatrix = arraytools.array2pointer(translationMatrix)
# uncomment the line below to show a performance HUD
# hmd.perfHudMode('PerfSummary')
# loop until the user quits the app through the GUI menu
# Oculus Rift head-mounted display example for rendering 3D with head tracking.
# Press the 'q' key or use the application GUI to exit. Press 'r' to recenter
# the HMD's view. Requires PsychXR 0.2+ to be installed.
#
# This file is public domain.
#
from psychopy import visual, event, core
from psychopy.tools import arraytools, rifttools
import pyglet.gl as GL
# Create a VR session, treat the returned object just like a regular window.
# Increase the number of samples for anti-aliasing, could be 2, 4, 6, 8, 16 or
# 32 depending on your hardware.
hmd = visual.Rift(samples=1)
# Create a LibOVRPose object to represent the rigid body pose of the triangle in
# the scene. The position of the triangle will be 2 meters away from the user at
# eye height which we obtain from the HMD's settings.
trianglePosition = (0., hmd.eyeHeight, -2.)
trianglePose = rifttools.LibOVRPose(trianglePosition)
# convert the pose to a view transformation matrix
translationMatrix = trianglePose.getModelMatrix()
# convert to format Pyglet's GL libraries accept
translationMatrix = arraytools.array2pointer(translationMatrix)
# loop until the user quits the app through the GUI menu
stopApp = False
while not stopApp:
# Get the current tracking state for the HMD which contains lots of
# Minimal Oculus Rift head-mounted display example. Press the 'q' key or use
# the application GUI to exit. Requires PsychXR to be installed.
#
# This file is public domain.
#
from psychopy import visual, event, core # visual imported, even if not used!
# Create a VR session, treat the returned object just like a regular window.
#
hmd = visual.Rift()
# loop until the user quits the app through the GUI menu
stopApp = False
while not stopApp:
for i in ('left', 'right'):
hmd.setBuffer(i) # select the eye buffer to draw to
# Setup the viewing parameters for the current buffer, this needs to be
# called every time the buffer changes.
#
# For standard PsychoPy stimuli (e.g. GratingStim, ImageStim, etc.) you
# should use 'setDefaultView' with 'mono=True' when creating a
# visual.Rift instance. This configures the headset to properly render
# 2D stimuli, treating the HMD as a monitor.
#
hmd.setDefaultView()
# send the rendered buffer to the HMD
hmd.flip()
# check if the application should exit
### Begin main script ###
# Open camera stream
if camera_backend == 'opencv':
stream = OpenCV_VideoStream(**opencv_settings)
elif camera_backend == 'ueye':
stream = uEyeVideoStream(**ueye_settings)
else:
raise RuntimeError('Unknown backend')
# Set post-proc function, default application to False
stream.setPostproc(negate)
stream.switchApplyPostproc(False)
# Open handle to rift
hmd = visual.Rift(monoscopic=True, color=-1, warnAppFrameDropped=False)
# Prep framestim
disp_size = [x * mag_factor for x in hmd._hmdBufferSize]
framestim = FrameStim(hmd, display_size=disp_size, interpolate=True)
#timestamps = []
# Begin main loop
KEEPGOING = True
while KEEPGOING:
# Get frame from stream, update and display framestim
framestim.frame = stream.get_frame()
framestim.draw()
t = hmd.flip()
#timestamps.append(t)