https://github.com/pupil-labs/pupil
Tip revision: a1601cef952df9efed44de04a8f89e7fde553232 authored by Patrick Faion on 13 November 2019, 10:20:21 UTC
Let travis run pytest
Let travis run pytest
Tip revision: a1601ce
eye.py
"""
(*)~---------------------------------------------------------------------------
Pupil - eye tracking platform
Copyright (C) 2012-2019 Pupil Labs
Distributed under the terms of the GNU
Lesser General Public License (LGPL v3.0).
See COPYING and COPYING.LESSER for license details.
---------------------------------------------------------------------------~(*)
"""
import os
import platform
import signal
import time
from types import SimpleNamespace
class Is_Alive_Manager(object):
"""
A context manager to wrap the is_alive flag.
Is alive will stay true as long is the eye process is running.
"""
def __init__(self, is_alive, ipc_socket, eye_id, logger):
self.is_alive = is_alive
self.ipc_socket = ipc_socket
self.eye_id = eye_id
self.logger = logger
def __enter__(self):
self.is_alive.value = True
self.ipc_socket.notify(
{"subject": "eye_process.started", "eye_id": self.eye_id}
)
return self
def __exit__(self, etype, value, traceback):
if etype is not None:
import traceback as tb
self.logger.error(
"Process Eye{} crashed with trace:\n".format(self.eye_id)
+ "".join(tb.format_exception(etype, value, traceback))
)
self.is_alive.value = False
self.ipc_socket.notify(
{"subject": "eye_process.stopped", "eye_id": self.eye_id}
)
time.sleep(1.0)
return True # do not propergate exception
def eye(
timebase,
is_alive_flag,
ipc_pub_url,
ipc_sub_url,
ipc_push_url,
user_dir,
version,
eye_id,
overwrite_cap_settings=None,
hide_ui=False,
):
"""reads eye video and detects the pupil.
Creates a window, gl context.
Grabs images from a capture.
Streams Pupil coordinates.
Reacts to notifications:
``set_detection_mapping_mode``: Sets detection method
``eye_process.should_stop``: Stops the eye process
``recording.started``: Starts recording eye video
``recording.stopped``: Stops recording eye video
``frame_publishing.started``: Starts frame publishing
``frame_publishing.stopped``: Stops frame publishing
``start_eye_plugin``: Start plugins in eye process
Emits notifications:
``eye_process.started``: Eye process started
``eye_process.stopped``: Eye process stopped
Emits data:
``pupil.<eye id>``: Pupil data for eye with id ``<eye id>``
``frame.eye.<eye id>``: Eye frames with id ``<eye id>``
"""
# We deferr the imports becasue of multiprocessing.
# Otherwise the world process each process also loads the other imports.
import zmq
import zmq_tools
zmq_ctx = zmq.Context()
ipc_socket = zmq_tools.Msg_Dispatcher(zmq_ctx, ipc_push_url)
pupil_socket = zmq_tools.Msg_Streamer(zmq_ctx, ipc_pub_url)
notify_sub = zmq_tools.Msg_Receiver(zmq_ctx, ipc_sub_url, topics=("notify",))
# logging setup
import logging
logging.getLogger("OpenGL").setLevel(logging.ERROR)
logger = logging.getLogger()
logger.handlers = []
logger.setLevel(logging.NOTSET)
logger.addHandler(zmq_tools.ZMQ_handler(zmq_ctx, ipc_push_url))
# create logger for the context of this function
logger = logging.getLogger(__name__)
if is_alive_flag.value:
# indicates eye process that this is a duplicated startup
logger.warning("Aborting redundant eye process startup")
return
with Is_Alive_Manager(is_alive_flag, ipc_socket, eye_id, logger):
# general imports
import traceback
import numpy as np
import cv2
# display
import glfw
from pyglui import ui, graph, cygl
from pyglui.cygl.utils import draw_points, RGBA, draw_polyline
from pyglui.cygl.utils import Named_Texture
from gl_utils import basic_gl_setup, adjust_gl_view, clear_gl_screen
from gl_utils import make_coord_system_pixel_based
from gl_utils import make_coord_system_norm_based
from gl_utils import is_window_visible, glViewport
from ui_roi import UIRoi
# monitoring
import psutil
# Plug-ins
from plugin import Plugin_List
# helpers/utils
from uvc import get_time_monotonic
from file_methods import Persistent_Dict
from version_utils import VersionFormat
from methods import normalize, denormalize, timer
from av_writer import JPEG_Writer, MPEG_Writer
from ndsi import H264Writer
from video_capture import source_classes, manager_classes
from background_helper import IPC_Logging_Task_Proxy
IPC_Logging_Task_Proxy.push_url = ipc_push_url
# Pupil detectors
from pupil_detectors import Detector_2D, Detector_3D, Detector_Dummy
def interrupt_handler(sig, frame):
import traceback
trace = traceback.format_stack(f=frame)
logger.debug(f"Caught signal {sig} in:\n" + "".join(trace))
# NOTE: Interrupt is handled in world/service/player which are responsible for
# shutting down the eye process properly
signal.signal(signal.SIGINT, interrupt_handler)
pupil_detectors = {
Detector_2D.__name__: Detector_2D,
Detector_3D.__name__: Detector_3D,
Detector_Dummy.__name__: Detector_Dummy,
}
# UI Platform tweaks
if platform.system() == "Linux":
scroll_factor = 10.0
window_position_default = (600, 300 * eye_id + 30)
elif platform.system() == "Windows":
scroll_factor = 10.0
window_position_default = (600, 90 + 300 * eye_id)
else:
scroll_factor = 1.0
window_position_default = (600, 300 * eye_id)
icon_bar_width = 50
window_size = None
camera_render_size = None
hdpi_factor = 1.0
# g_pool holds variables for this process
g_pool = SimpleNamespace()
# make some constants avaiable
g_pool.user_dir = user_dir
g_pool.version = version
g_pool.app = "capture"
g_pool.process = "eye{}".format(eye_id)
g_pool.timebase = timebase
g_pool.ipc_pub = ipc_socket
def get_timestamp():
return get_time_monotonic() - g_pool.timebase.value
g_pool.get_timestamp = get_timestamp
g_pool.get_now = get_time_monotonic
plugins = manager_classes + source_classes
g_pool.plugin_by_name = {p.__name__: p for p in plugins}
preferred_names = [
f"Pupil Cam3 ID{eye_id}",
f"Pupil Cam2 ID{eye_id}",
f"Pupil Cam1 ID{eye_id}",
]
if eye_id == 0:
preferred_names += ["HD-6000"]
default_capture_settings = (
"UVC_Source",
{
"preferred_names": preferred_names,
"frame_size": (320, 240),
"frame_rate": 120,
},
)
default_plugins = [
# TODO: extend with plugins
default_capture_settings,
("UVC_Manager", {}),
]
# Callback functions
def on_resize(window, w, h):
nonlocal window_size
nonlocal camera_render_size
nonlocal hdpi_factor
active_window = glfw.glfwGetCurrentContext()
glfw.glfwMakeContextCurrent(window)
hdpi_factor = glfw.getHDPIFactor(window)
g_pool.gui.scale = g_pool.gui_user_scale * hdpi_factor
window_size = w, h
camera_render_size = w - int(icon_bar_width * g_pool.gui.scale), h
g_pool.gui.update_window(w, h)
g_pool.gui.collect_menus()
for g in g_pool.graphs:
g.scale = hdpi_factor
g.adjust_window_size(w, h)
adjust_gl_view(w, h)
glfw.glfwMakeContextCurrent(active_window)
def on_window_key(window, key, scancode, action, mods):
g_pool.gui.update_key(key, scancode, action, mods)
def on_window_char(window, char):
g_pool.gui.update_char(char)
def on_iconify(window, iconified):
g_pool.iconified = iconified
def on_window_mouse_button(window, button, action, mods):
g_pool.gui.update_button(button, action, mods)
def on_pos(window, x, y):
x *= hdpi_factor
y *= hdpi_factor
g_pool.gui.update_mouse(x, y)
if g_pool.u_r.active_edit_pt:
pos = normalize((x, y), camera_render_size)
if g_pool.flip:
pos = 1 - pos[0], 1 - pos[1]
pos = denormalize(pos, g_pool.capture.frame_size)
g_pool.u_r.move_vertex(g_pool.u_r.active_pt_idx, pos)
def on_scroll(window, x, y):
g_pool.gui.update_scroll(x, y * scroll_factor)
def on_drop(window, count, paths):
paths = [paths[x].decode("utf-8") for x in range(count)]
for plugin in g_pool.plugins:
if plugin.on_drop(paths):
break
# load session persistent settings
session_settings = Persistent_Dict(
os.path.join(g_pool.user_dir, "user_settings_eye{}".format(eye_id))
)
if VersionFormat(session_settings.get("version", "0.0")) != g_pool.version:
logger.info(
"Session setting are from a different version of this app. I will not use those."
)
session_settings.clear()
g_pool.iconified = False
g_pool.capture = None
g_pool.flip = session_settings.get("flip", False)
g_pool.display_mode = session_settings.get("display_mode", "camera_image")
g_pool.display_mode_info_text = {
"camera_image": "Raw eye camera image. This uses the least amount of CPU power",
"roi": "Click and drag on the blue circles to adjust the region of interest. The region should be as small as possible, but large enough to capture all pupil movements.",
"algorithm": "Algorithm display mode overlays a visualization of the pupil detection parameters on top of the eye video. Adjust parameters within the Pupil Detection menu below.",
}
pupil_detector_settings = session_settings.get("pupil_detector_settings", None)
last_pupil_detector = pupil_detectors[
session_settings.get("last_pupil_detector", Detector_2D.__name__)
]
g_pool.pupil_detector = last_pupil_detector(g_pool, pupil_detector_settings)
def set_display_mode_info(val):
g_pool.display_mode = val
g_pool.display_mode_info.text = g_pool.display_mode_info_text[val]
def set_detector(new_detector):
g_pool.pupil_detector.deinit_ui()
g_pool.pupil_detector.cleanup()
g_pool.pupil_detector = new_detector(g_pool)
g_pool.pupil_detector.init_ui()
def toggle_general_settings(collapsed):
# this is the menu toggle logic.
# Only one menu can be open.
# If no menu is open the menubar should collapse.
g_pool.menubar.collapsed = collapsed
for m in g_pool.menubar.elements:
m.collapsed = True
general_settings.collapsed = collapsed
# Initialize glfw
glfw.glfwInit()
if hide_ui:
glfw.glfwWindowHint(glfw.GLFW_VISIBLE, 0) # hide window
title = "Pupil Capture - eye {}".format(eye_id)
width, height = session_settings.get("window_size", (640 + icon_bar_width, 480))
main_window = glfw.glfwCreateWindow(width, height, title, None, None)
window_pos = session_settings.get("window_position", window_position_default)
glfw.glfwSetWindowPos(main_window, window_pos[0], window_pos[1])
glfw.glfwMakeContextCurrent(main_window)
cygl.utils.init()
# UI callback functions
def set_scale(new_scale):
g_pool.gui_user_scale = new_scale
on_resize(main_window, *glfw.glfwGetFramebufferSize(main_window))
# gl_state settings
basic_gl_setup()
g_pool.image_tex = Named_Texture()
g_pool.image_tex.update_from_ndarray(np.ones((1, 1), dtype=np.uint8) + 125)
# setup GUI
g_pool.gui = ui.UI()
g_pool.gui_user_scale = session_settings.get("gui_scale", 1.0)
g_pool.menubar = ui.Scrolling_Menu(
"Settings", pos=(-500, 0), size=(-icon_bar_width, 0), header_pos="left"
)
g_pool.iconbar = ui.Scrolling_Menu(
"Icons", pos=(-icon_bar_width, 0), size=(0, 0), header_pos="hidden"
)
g_pool.gui.append(g_pool.menubar)
g_pool.gui.append(g_pool.iconbar)
general_settings = ui.Growing_Menu("General", header_pos="headline")
general_settings.append(
ui.Selector(
"gui_user_scale",
g_pool,
setter=set_scale,
selection=[0.8, 0.9, 1.0, 1.1, 1.2],
label="Interface Size",
)
)
def set_window_size():
f_width, f_height = g_pool.capture.frame_size
f_width *= 2
f_height *= 2
f_width += int(icon_bar_width * g_pool.gui.scale)
glfw.glfwSetWindowSize(main_window, f_width, f_height)
def uroi_on_mouse_button(button, action, mods):
if g_pool.display_mode == "roi":
if action == glfw.GLFW_RELEASE and g_pool.u_r.active_edit_pt:
g_pool.u_r.active_edit_pt = False
# if the roi interacts we dont want
# the gui to interact as well
return
elif action == glfw.GLFW_PRESS:
x, y = glfw.glfwGetCursorPos(main_window)
# pos = normalize(pos, glfw.glfwGetWindowSize(main_window))
x *= hdpi_factor
y *= hdpi_factor
pos = normalize((x, y), camera_render_size)
if g_pool.flip:
pos = 1 - pos[0], 1 - pos[1]
# Position in img pixels
pos = denormalize(
pos, g_pool.capture.frame_size
) # Position in img pixels
if g_pool.u_r.mouse_over_edit_pt(
pos, g_pool.u_r.handle_size, g_pool.u_r.handle_size
):
# if the roi interacts we dont want
# the gui to interact as well
return
general_settings.append(ui.Button("Reset window size", set_window_size))
general_settings.append(ui.Switch("flip", g_pool, label="Flip image display"))
general_settings.append(
ui.Selector(
"display_mode",
g_pool,
setter=set_display_mode_info,
selection=["camera_image", "roi", "algorithm"],
labels=["Camera Image", "ROI", "Algorithm"],
label="Mode",
)
)
g_pool.display_mode_info = ui.Info_Text(
g_pool.display_mode_info_text[g_pool.display_mode]
)
general_settings.append(g_pool.display_mode_info)
detector_selector = ui.Selector(
"pupil_detector",
getter=lambda: g_pool.pupil_detector.__class__,
setter=set_detector,
selection=[Detector_Dummy, Detector_2D, Detector_3D],
labels=["disabled", "C++ 2d detector", "C++ 3d detector"],
label="Detection method",
)
general_settings.append(detector_selector)
g_pool.menubar.append(general_settings)
icon = ui.Icon(
"collapsed",
general_settings,
label=chr(0xE8B8),
on_val=False,
off_val=True,
setter=toggle_general_settings,
label_font="pupil_icons",
)
icon.tooltip = "General Settings"
g_pool.iconbar.append(icon)
toggle_general_settings(False)
plugins_to_load = session_settings.get("loaded_plugins", default_plugins)
if overwrite_cap_settings:
# Ensure that overwrite_cap_settings takes preference over source plugins
# with incorrect settings that were loaded from session settings.
plugins_to_load.append(overwrite_cap_settings)
g_pool.plugins = Plugin_List(g_pool, plugins_to_load)
g_pool.pupil_detector.init_ui()
g_pool.writer = None
g_pool.u_r = UIRoi((g_pool.capture.frame_size[1], g_pool.capture.frame_size[0]))
roi_user_settings = session_settings.get("roi")
if roi_user_settings and tuple(roi_user_settings[-1]) == g_pool.u_r.get()[-1]:
g_pool.u_r.set(roi_user_settings)
# Register callbacks main_window
glfw.glfwSetFramebufferSizeCallback(main_window, on_resize)
glfw.glfwSetWindowIconifyCallback(main_window, on_iconify)
glfw.glfwSetKeyCallback(main_window, on_window_key)
glfw.glfwSetCharCallback(main_window, on_window_char)
glfw.glfwSetMouseButtonCallback(main_window, on_window_mouse_button)
glfw.glfwSetCursorPosCallback(main_window, on_pos)
glfw.glfwSetScrollCallback(main_window, on_scroll)
glfw.glfwSetDropCallback(main_window, on_drop)
# load last gui configuration
g_pool.gui.configuration = session_settings.get("ui_config", {})
# set up performance graphs
pid = os.getpid()
ps = psutil.Process(pid)
ts = g_pool.get_timestamp()
cpu_graph = graph.Bar_Graph()
cpu_graph.pos = (20, 50)
cpu_graph.update_fn = ps.cpu_percent
cpu_graph.update_rate = 5
cpu_graph.label = "CPU %0.1f"
fps_graph = graph.Bar_Graph()
fps_graph.pos = (140, 50)
fps_graph.update_rate = 5
fps_graph.label = "%0.0f FPS"
g_pool.graphs = [cpu_graph, fps_graph]
# set the last saved window size
on_resize(main_window, *glfw.glfwGetFramebufferSize(main_window))
should_publish_frames = False
frame_publish_format = "jpeg"
frame_publish_format_recent_warning = False
# create a timer to control window update frequency
window_update_timer = timer(1 / 60)
def window_should_update():
return next(window_update_timer)
logger.warning("Process started.")
frame = None
# Event loop
while not glfw.glfwWindowShouldClose(main_window):
if notify_sub.new_data:
t, notification = notify_sub.recv()
subject = notification["subject"]
if subject.startswith("eye_process.should_stop"):
if notification["eye_id"] == eye_id:
break
elif subject == "set_detection_mapping_mode":
if notification["mode"] == "3d":
if not isinstance(g_pool.pupil_detector, Detector_3D):
set_detector(Detector_3D)
detector_selector.read_only = True
elif notification["mode"] == "2d":
if not isinstance(g_pool.pupil_detector, Detector_2D):
set_detector(Detector_2D)
detector_selector.read_only = False
else:
if not isinstance(g_pool.pupil_detector, Detector_Dummy):
set_detector(Detector_Dummy)
detector_selector.read_only = True
elif subject == "recording.started":
if notification["record_eye"] and g_pool.capture.online:
record_path = notification["rec_path"]
raw_mode = notification["compression"]
start_time_synced = notification["start_time_synced"]
logger.info("Will save eye video to: {}".format(record_path))
video_path = os.path.join(
record_path, "eye{}.mp4".format(eye_id)
)
if raw_mode and frame and g_pool.capture.jpeg_support:
g_pool.writer = JPEG_Writer(video_path, start_time_synced)
elif hasattr(g_pool.capture._recent_frame, "h264_buffer"):
g_pool.writer = H264Writer(
video_path,
g_pool.capture.frame_size[0],
g_pool.capture.frame_size[1],
g_pool.capture.frame_rate,
)
else:
g_pool.writer = MPEG_Writer(video_path, start_time_synced)
elif subject == "recording.stopped":
if g_pool.writer:
logger.info("Done recording.")
try:
g_pool.writer.release()
except RuntimeError:
logger.error("No eye video recorded")
g_pool.writer = None
elif subject.startswith("meta.should_doc"):
ipc_socket.notify(
{
"subject": "meta.doc",
"actor": "eye{}".format(eye_id),
"doc": eye.__doc__,
}
)
elif subject.startswith("frame_publishing.started"):
should_publish_frames = True
frame_publish_format = notification.get("format", "jpeg")
elif subject.startswith("frame_publishing.stopped"):
should_publish_frames = False
frame_publish_format = "jpeg"
elif (
subject.startswith("start_eye_plugin")
and notification["target"] == g_pool.process
):
try:
g_pool.plugins.add(
g_pool.plugin_by_name[notification["name"]],
notification.get("args", {}),
)
except KeyError as err:
logger.error(f"Attempt to load unknown plugin: {err}")
elif notification["subject"].startswith("pupil_detector.set_property"):
target_process = notification.get("target", g_pool.process)
should_apply = target_process == g_pool.process
if should_apply:
try:
property_name = notification["name"]
property_value = notification["value"]
if "2d" in notification["subject"]:
g_pool.pupil_detector.set_2d_detector_property(
property_name, property_value
)
elif "3d" in notification["subject"]:
if not isinstance(g_pool.pupil_detector, Detector_3D):
raise ValueError(
"3d properties are only available"
" if 3d detector is active"
)
g_pool.pupil_detector.set_3d_detector_property(
property_name, property_value
)
elif property_name == "roi":
try:
# Modify the ROI with the values sent over network
minX, maxX, minY, maxY = property_value
g_pool.u_r.set(
[
max(g_pool.u_r.min_x, int(minX)),
max(g_pool.u_r.min_y, int(minY)),
min(g_pool.u_r.max_x, int(maxX)),
min(g_pool.u_r.max_y, int(maxY)),
]
)
except ValueError as err:
raise ValueError(
"ROI needs to be list of 4 integers:"
"(minX, maxX, minY, maxY)"
) from err
else:
raise KeyError(
"Notification subject does not "
"specifiy detector type nor modify ROI."
)
logger.debug(
"`{}` property set to {}".format(
property_name, property_value
)
)
except KeyError:
logger.error("Malformed notification received")
logger.debug(traceback.format_exc())
except (ValueError, TypeError):
logger.error("Invalid property or value")
logger.debug(traceback.format_exc())
elif notification["subject"].startswith(
"pupil_detector.broadcast_properties"
):
target_process = notification.get("target", g_pool.process)
should_respond = target_process == g_pool.process
if should_respond:
props = g_pool.pupil_detector.get_detector_properties()
properties_broadcast = {
"subject": "pupil_detector.properties.{}".format(eye_id),
**props, # add properties to broadcast
}
ipc_socket.notify(properties_broadcast)
for plugin in g_pool.plugins:
plugin.on_notify(notification)
event = {}
for plugin in g_pool.plugins:
plugin.recent_events(event)
frame = event.get("frame")
if frame:
f_width, f_height = g_pool.capture.frame_size
if (g_pool.u_r.array_shape[0], g_pool.u_r.array_shape[1]) != (
f_height,
f_width,
):
g_pool.pupil_detector.on_resolution_change(
(g_pool.u_r.array_shape[1], g_pool.u_r.array_shape[0]),
g_pool.capture.frame_size,
)
g_pool.u_r = UIRoi((f_height, f_width))
if should_publish_frames:
try:
if frame_publish_format == "jpeg":
data = frame.jpeg_buffer
elif frame_publish_format == "yuv":
data = frame.yuv_buffer
elif frame_publish_format == "bgr":
data = frame.bgr
elif frame_publish_format == "gray":
data = frame.gray
assert data is not None
except (AttributeError, AssertionError, NameError):
if not frame_publish_format_recent_warning:
frame_publish_format_recent_warning = True
logger.warning(
'{}s are not compatible with format "{}"'.format(
type(frame), frame_publish_format
)
)
else:
frame_publish_format_recent_warning = False
pupil_socket.send(
{
"topic": "frame.eye.{}".format(eye_id),
"width": frame.width,
"height": frame.height,
"index": frame.index,
"timestamp": frame.timestamp,
"format": frame_publish_format,
"__raw_data__": [data],
}
)
t = frame.timestamp
dt, ts = t - ts, t
try:
fps_graph.add(1.0 / dt)
except ZeroDivisionError:
pass
if g_pool.writer:
g_pool.writer.write_video_frame(frame)
# pupil ellipse detection
result = g_pool.pupil_detector.detect(
frame, g_pool.u_r, g_pool.display_mode == "algorithm"
)
if result is not None:
result["id"] = eye_id
result["topic"] = "pupil.{}".format(eye_id)
pupil_socket.send(result)
cpu_graph.update()
# GL drawing
if window_should_update():
if is_window_visible(main_window):
glfw.glfwMakeContextCurrent(main_window)
clear_gl_screen()
if frame:
# switch to work in normalized coordinate space
if g_pool.display_mode == "algorithm":
g_pool.image_tex.update_from_ndarray(frame.img)
elif g_pool.display_mode in ("camera_image", "roi"):
g_pool.image_tex.update_from_ndarray(frame.gray)
else:
pass
glViewport(0, 0, *camera_render_size)
make_coord_system_norm_based(g_pool.flip)
g_pool.image_tex.draw()
f_width, f_height = g_pool.capture.frame_size
make_coord_system_pixel_based((f_height, f_width, 3), g_pool.flip)
if frame and result:
if result["method"] == "3d c++":
eye_ball = result["projected_sphere"]
try:
pts = cv2.ellipse2Poly(
(
int(eye_ball["center"][0]),
int(eye_ball["center"][1]),
),
(
int(eye_ball["axes"][0] / 2),
int(eye_ball["axes"][1] / 2),
),
int(eye_ball["angle"]),
0,
360,
8,
)
except ValueError as e:
pass
else:
draw_polyline(
pts,
2,
RGBA(0.0, 0.9, 0.1, result["model_confidence"]),
)
if result["confidence"] > 0:
if "ellipse" in result:
pts = cv2.ellipse2Poly(
(
int(result["ellipse"]["center"][0]),
int(result["ellipse"]["center"][1]),
),
(
int(result["ellipse"]["axes"][0] / 2),
int(result["ellipse"]["axes"][1] / 2),
),
int(result["ellipse"]["angle"]),
0,
360,
15,
)
confidence = result["confidence"] * 0.7
draw_polyline(pts, 1, RGBA(1.0, 0, 0, confidence))
draw_points(
[result["ellipse"]["center"]],
size=20,
color=RGBA(1.0, 0.0, 0.0, confidence),
sharpness=1.0,
)
glViewport(0, 0, *camera_render_size)
make_coord_system_pixel_based((f_height, f_width, 3), g_pool.flip)
# render the ROI
g_pool.u_r.draw(g_pool.gui.scale)
if g_pool.display_mode == "roi":
g_pool.u_r.draw_points(g_pool.gui.scale)
glViewport(0, 0, *window_size)
make_coord_system_pixel_based((*window_size[::-1], 3), g_pool.flip)
# render graphs
fps_graph.draw()
cpu_graph.draw()
# render GUI
unused_elements = g_pool.gui.update()
for butt in unused_elements.buttons:
uroi_on_mouse_button(*butt)
make_coord_system_pixel_based((*window_size[::-1], 3), g_pool.flip)
g_pool.pupil_detector.visualize() # detector decides if we visualize or not
# update screen
glfw.glfwSwapBuffers(main_window)
glfw.glfwPollEvents()
# END while running
# in case eye recording was still runnnig: Save&close
if g_pool.writer:
logger.info("Done recording eye.")
g_pool.writer.release()
g_pool.writer = None
session_settings["loaded_plugins"] = g_pool.plugins.get_initializers()
# save session persistent settings
session_settings["gui_scale"] = g_pool.gui_user_scale
session_settings["roi"] = g_pool.u_r.get()
session_settings["flip"] = g_pool.flip
session_settings["display_mode"] = g_pool.display_mode
session_settings["ui_config"] = g_pool.gui.configuration
session_settings["version"] = str(g_pool.version)
session_settings[
"last_pupil_detector"
] = g_pool.pupil_detector.__class__.__name__
session_settings[
"pupil_detector_settings"
] = g_pool.pupil_detector.get_settings()
if not hide_ui:
glfw.glfwRestoreWindow(main_window) # need to do this for windows os
session_settings["window_position"] = glfw.glfwGetWindowPos(main_window)
session_window_size = glfw.glfwGetWindowSize(main_window)
if 0 not in session_window_size:
session_settings["window_size"] = session_window_size
session_settings.close()
for plugin in g_pool.plugins:
plugin.alive = False
g_pool.plugins.clean()
g_pool.pupil_detector.deinit_ui()
g_pool.pupil_detector.cleanup()
glfw.glfwDestroyWindow(main_window)
g_pool.gui.terminate()
glfw.glfwTerminate()
logger.info("Process shutting down.")
def eye_profiled(
timebase,
is_alive_flag,
ipc_pub_url,
ipc_sub_url,
ipc_push_url,
user_dir,
version,
eye_id,
overwrite_cap_settings=None,
):
import cProfile
import subprocess
import os
from .eye import eye
cProfile.runctx(
"eye(timebase, is_alive_flag,ipc_pub_url,ipc_sub_url,ipc_push_url, user_dir, version, eye_id, overwrite_cap_settings)",
{
"timebase": timebase,
"is_alive_flag": is_alive_flag,
"ipc_pub_url": ipc_pub_url,
"ipc_sub_url": ipc_sub_url,
"ipc_push_url": ipc_push_url,
"user_dir": user_dir,
"version": version,
"eye_id": eye_id,
"overwrite_cap_settings": overwrite_cap_settings,
},
locals(),
"eye{}.pstats".format(eye_id),
)
loc = os.path.abspath(__file__).rsplit("pupil_src", 1)
gprof2dot_loc = os.path.join(loc[0], "pupil_src", "shared_modules", "gprof2dot.py")
subprocess.call(
"python "
+ gprof2dot_loc
+ " -f pstats eye{0}.pstats | dot -Tpng -o eye{0}_cpu_time.png".format(eye_id),
shell=True,
)
print(
"created cpu time graph for eye{} process. Please check out the png next to the eye.py file".format(
eye_id
)
)
