papr

from plugin import Plugin

CUSTOM_TOPIC = "custom_topic"


class CustomDataExample(Plugin):
    def recent_events(self, events):
        custom_datum = {
            "topic": CUSTOM_TOPIC,
            "timestamp": self.g_pool.get_timestamp(),  # Timestamp in pupil time

papr

from annotations import Annotation_Capture


class No_Log_Annotation_Capture(Annotation_Capture):
    def recent_events(self, events):
        recent_annotation_data = []
        while self.annotation_sub.new_data:
            topic, annotation_datum = self.annotation_sub.recv()
            recent_annotation_data.append(annotation_datum)
        events["annotation"] = recent_annotation_data

papr

Install instructions: https://docs.pupil-labs.com/developer/core/plugin-api/#adding-a-plugin

Once installed successfully, go to the Calibration menu and select the corresponding Dual-monocular gazer from the Gaze Mapping selector.

Proceed as usual.

papr

from pyglui import ui

import file_methods as fm
import player_methods as pm
from gaze_producer.gaze_producer_base import GazeProducerBase
from methods import denormalize
from player_methods import transparent_circle


class GazeFromRecordingWithOffsetCorrection(GazeProducerBase):

papr

"""
(*)~---------------------------------------------------------------------------
Pupil - eye tracking platform
Copyright (C) 2012-2020 Pupil Labs

Distributed under the terms of the GNU
Lesser General Public License (LGPL v3.0).
See COPYING and COPYING.LESSER for license details.
---------------------------------------------------------------------------~(*)
"""

papr

import logging
import numpy as np

from pupil_detectors import DetectorBase
from pyglui import ui

from methods import normalize

from pupil_detector_plugins.detector_base_plugin import PupilDetectorPlugin
from pupil_detector_plugins.visualizer_2d import draw_pupil_outline

papr

import logging

from pupil_detectors import Detector2D, DetectorBase, Roi
from pyglui import ui

from methods import normalize

from pupil_detector_plugins import available_detector_plugins
from pupil_detector_plugins.detector_base_plugin import (
    PropertyProxy,

papr

import numpy as np
import pandas as pd
 
G = 9.78033 
IMU_TYPE = np.dtype([
    ("time_s", "<f8"),
    *((f"accel_{d}", "<f4") for d in "xyz"),
    *((f"gyro_{d}", "<f4") for d in "xyz")
]) 

papr

from calibration_choreography.screen_marker_plugin import ScreenMarkerChoreographyPlugin
from calibration_choreography.base_plugin import ChoreographyMode


class NinePointScreenMarkerChoreography(ScreenMarkerChoreographyPlugin):
    label = "Nine-point Calibration"

    @classmethod
    def selection_label(cls) -> str:
        return "Nine-point Screen Marker"

papr