mirror of
https://github.com/EyeTrackVR/EyeTrackVR.git
synced 2025-11-04 14:39:42 +08:00
Revert "Cleaning+SafeCrop"
This commit is contained in:
parent
dd23dcf838
commit
ac4447f0ba
@ -1,4 +1,4 @@
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"""
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'''
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------------------------------------------------------------------------------------------------------
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,@@@@@@
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@ -19,8 +19,8 @@
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@@@@@@@@@@@@@@@@@
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@@@@@@@@@@@@@(
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HSR By: PallasNeko (Optimization Wizard, Contributor), Summer#2406 (Main Algorithm Engineer)
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RANSAC 3D By: Summer#2406 (Main Algorithm Engineer), Pupil Labs (pye3d), PallasNeko (Optimization)
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HSR By: Sean.Denka (Optimization Wizard, Contributor), Summer#2406 (Main Algorithm Engineer)
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RANSAC 3D By: Summer#2406 (Main Algorithm Engineer), Pupil Labs (pye3d), Sean.Denka (Optimization)
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BLOB By: Prohurtz#0001 (Main App Developer)
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Algorithm App Implimentations By: Prohurtz#0001, qdot (Inital App Creator)
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@ -28,7 +28,7 @@ Additional Contributors: [Assassin], Summer404NotFound, lorow, ZanzyTHEbar
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Copyright (c) 2022 EyeTrackVR <3
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------------------------------------------------------------------------------------------------------
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"""
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'''
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from operator import truth
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from dataclasses import dataclass
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@ -46,20 +46,19 @@ import numpy as np
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import cv2
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from enum import Enum
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from one_euro_filter import OneEuroFilter
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if sys.platform.startswith("win"):
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from winsound import PlaySound, SND_FILENAME, SND_ASYNC
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import importlib
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from osc_calibrate_filter import *
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from haar_surround_feature import External_Run_HSF
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from haar_surround_feature import *
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from blob import *
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from ransac import *
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from hsrac import External_Run_HSRACS
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from hsrac import *
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from blink import *
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from intensity_eye_open import *
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from intensity_eye_open import *
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class InformationOrigin(Enum):
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RANSAC = 1
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@ -68,10 +67,7 @@ class InformationOrigin(Enum):
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HSF = 4
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HSRAC = 5
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bbb = 0
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@dataclass
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class EyeInformation:
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info_type: InformationOrigin
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@ -89,7 +85,7 @@ def run_once(f):
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if not wrapper.has_run:
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wrapper.has_run = True
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return f(*args, **kwargs)
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wrapper.has_run = False
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return wrapper
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@ -98,35 +94,36 @@ async def delayed_setting_change(setting, value):
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await asyncio.sleep(5)
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setting = value
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if sys.platform.startswith("win"):
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PlaySound("Audio/compleated.wav", SND_FILENAME | SND_ASYNC)
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PlaySound('Audio/compleated.wav', SND_FILENAME | SND_ASYNC)
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class EyeProcessor:
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def __init__(
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self,
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config: "EyeTrackCameraConfig",
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settings: "EyeTrackSettingsConfig",
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cancellation_event: "threading.Event",
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capture_event: "threading.Event",
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capture_queue_incoming: "queue.Queue",
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image_queue_outgoing: "queue.Queue",
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eye_id,
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self,
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config: "EyeTrackCameraConfig",
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settings: "EyeTrackSettingsConfig",
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cancellation_event: "threading.Event",
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capture_event: "threading.Event",
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capture_queue_incoming: "queue.Queue",
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image_queue_outgoing: "queue.Queue",
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eye_id,
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):
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self.config = config
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self.settings = settings
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# Cross-thread communication management
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self.capture_queue_incoming = capture_queue_incoming
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self.image_queue_outgoing = image_queue_outgoing
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self.cancellation_event = cancellation_event
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self.capture_event = capture_event
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self.eye_id = eye_id
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# Cross algo state
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self.lkg_projected_sphere = None
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self.xc = None
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self.yc = None
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# Image state
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self.previous_image = None
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self.current_image = None
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@ -134,14 +131,14 @@ class EyeProcessor:
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self.current_frame_number = None
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self.current_fps = None
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self.threshold_image = None
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# Calibration Values
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self.xoff = 1
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self.yoff = 1
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# Keep large in order to recenter correctly
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self.calibration_frame_counter = None
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self.eyeoffx = 1
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self.xmax = -69420
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self.xmin = 69420
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self.ymax = -69420
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@ -150,41 +147,44 @@ class EyeProcessor:
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self.cccs = False
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self.ts = 10
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self.previous_rotation = self.config.rotation_angle
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self.calibration_frame_counter
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self.camera_model = None
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self.detector_3d = None
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self.camera_model = None
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self.detector_3d = None
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self.failed = 0
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self.skip_blink_detect = False
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# blink
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#blink
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self.max_ints = []
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self.max_int = 0
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self.min_int = 4000000000000
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self.frames = 0
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self.frames = 0
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self.blinkvalue = False
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self.prev_x = None
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self.prev_y = None
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try:
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min_cutoff = float(self.settings.gui_min_cutoff) # 0.0004
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beta = float(self.settings.gui_speed_coefficient) # 0.9
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except:
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print("\033[93m[WARN] OneEuroFilter values must be a legal number.\033[0m")
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print('\033[93m[WARN] OneEuroFilter values must be a legal number.\033[0m')
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min_cutoff = 0.0004
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beta = 0.9
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noisy_point = np.array([1, 1])
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self.one_euro_filter = OneEuroFilter(
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noisy_point, min_cutoff=min_cutoff, beta=beta
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noisy_point,
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min_cutoff=min_cutoff,
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beta=beta
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)
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def output_images_and_update(
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self, threshold_image, output_information: EyeInformation
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):
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def output_images_and_update(self, threshold_image, output_information: EyeInformation):
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try:
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image_stack = np.concatenate(
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(
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@ -196,32 +196,29 @@ class EyeProcessor:
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self.image_queue_outgoing.put((image_stack, output_information))
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self.previous_image = self.current_image
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self.previous_rotation = self.config.rotation_angle
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except: # If this fails it likely means that the images are not the same size for some reason.
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print(
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"\033[91m[ERROR] Size of frames to display are of unequal sizes.\033[0m"
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)
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except: # If this fails it likely means that the images are not the same size for some reason.
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print('\033[91m[ERROR] Size of frames to display are of unequal sizes.\033[0m')
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pass
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def capture_crop_rotate_image(self):
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# Get our current frame
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try:
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# Get frame from capture source, crop to ROI
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self.current_image = self.current_image[
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int(self.config.roi_window_y): int(
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self.config.roi_window_y + self.config.roi_window_h
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),
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int(self.config.roi_window_x): int(
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self.config.roi_window_x + self.config.roi_window_w
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),
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]
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int(self.config.roi_window_y): int(
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self.config.roi_window_y + self.config.roi_window_h
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),
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int(self.config.roi_window_x): int(
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self.config.roi_window_x + self.config.roi_window_w
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),
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]
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except:
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# Failure to process frame, reuse previous frame.
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self.current_image = self.previous_image
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print("\033[91m[ERROR] Frame capture issue detected.\033[0m")
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try:
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# Apply rotation to cropped area. For any rotation area outside of the bounds of the image,
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# fill with white.
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@ -243,119 +240,96 @@ class EyeProcessor:
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return True
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except:
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pass
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def BLINKM(self):
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self.blinkvalue = BLINK(self)
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def HSRACM(self):
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# temporary implementation
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cx, cy, thresh, gray_frame, uncropframe = External_Run_HSRACS().run(
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self.current_image_gray
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)
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cx, cy, thresh, gray_frame, uncropframe = External_Run_HSRACS.HSRACS(self)
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self.current_image_gray = gray_frame
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if self.prev_x is None:
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if self.prev_x == None:
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self.prev_x = cx
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self.prev_y = cy
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# print(self.prev_x, self.prev_y, cx, cy)
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#print(self.prev_x, self.prev_y, cx, cy)
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# #filter values with too much movement
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# if (cx - self.prev_x) <= 45 and (cy - self.prev_y) <= 45 :
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# self.prev_x = cx
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# self.prev_y = cy
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# if (cx - self.prev_x) <= 45 and (cy - self.prev_y) <= 45 :
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# self.prev_x = cx
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# self.prev_y = cy
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eyeopen = intense(cx, cy, uncropframe)
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out_x, out_y = cal_osc(self, cx, cy)
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if cx == 0:
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self.output_images_and_update(
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thresh,
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EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen),
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) # update app
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self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen)) #update app
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else:
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self.output_images_and_update(
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thresh,
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EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen),
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)
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# else:
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# print("EYE MOVED TOO FAST")
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# self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, 0, 0, 0, False))
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self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen))
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# else:
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# print("EYE MOVED TOO FAST")
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# self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, 0, 0, 0, False))
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def HSFM(self):
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# temporary implementation
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cx, cy, frame = External_Run_HSF().run(self.current_image_gray)
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cx, cy, frame = External_Run_HSF.HSFS(self)
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eyeopen = intense(cx, cy, self.current_image_gray)
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out_x, out_y = cal_osc(self, cx, cy)
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if cx == 0:
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self.output_images_and_update(
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frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, eyeopen)
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) # update app
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self.output_images_and_update(frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, eyeopen)) #update app
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else:
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self.output_images_and_update(
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frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, eyeopen)
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)
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self.output_images_and_update(frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, eyeopen))
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def RANSAC3DM(self):
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cx, cy, thresh = RANSAC3D(self)
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eyeopen = intense(cx, cy, self.current_image_gray)
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out_x, out_y = cal_osc(self, cx, cy)
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if cx == 0:
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self.output_images_and_update(
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thresh,
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EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, eyeopen),
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) # update app
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self.output_images_and_update(thresh, EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, eyeopen)) #update app
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else:
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self.output_images_and_update(
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thresh,
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EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, eyeopen),
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)
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self.output_images_and_update(thresh, EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, eyeopen))
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def BLOBM(self):
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cx, cy, thresh = BLOB(self)
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eyeopen = intense(cx, cy, self.current_image_gray)
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out_x, out_y = cal_osc(self, cx, cy)
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if cx == 0:
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self.output_images_and_update(
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thresh,
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EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen),
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) # update app
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self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen)) #update app
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else:
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self.output_images_and_update(
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thresh,
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EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen),
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)
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def ALGOSELECT(self):
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self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen))
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if self.failed == 0 and self.firstalgo is not None:
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def ALGOSELECT(self):
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if self.failed == 0 and self.firstalgo != None:
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self.firstalgo()
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else:
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self.failed = self.failed + 1
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if (
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self.failed == 1 and self.secondalgo is not None
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): # send the tracking algos previous fail number, in algo if we pass set to 0, if fail, + 1
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if self.failed == 1 and self.secondalgo != None: #send the tracking algos previous fail number, in algo if we pass set to 0, if fail, + 1
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self.secondalgo()
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else:
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self.failed = self.failed + 1
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if self.failed == 2 and self.thirdalgo is not None:
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if self.failed == 2 and self.thirdalgo != None:
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self.thirdalgo()
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else:
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self.failed = self.failed + 1
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if self.failed == 3 and self.fourthalgo is not None:
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if self.failed == 3 and self.fourthalgo != None:
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self.fourthalgo()
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else:
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self.failed = 0 # we have reached last possible algo and it is disabled, move to first algo
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self.failed = 0 # we have reached last possible algo and it is disabled, move to first algo
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def run(self):
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self.firstalgo = None
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self.secondalgo = None
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self.thirdalgo = None
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self.fourthalgo = None
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# set algo priorities
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if (self.settings.gui_HSF and self.settings.gui_HSFP == 1): # I feel like this is super innefficient though it only runs at startup and no solution is coming to me atm
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#set algo priorities
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if self.settings.gui_HSF and self.settings.gui_HSFP == 1: #I feel like this is super innefficient though it only runs at startup and no solution is coming to me atm
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self.firstalgo = self.HSFM
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elif self.settings.gui_HSF and self.settings.gui_HSFP == 2:
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self.secondalgo = self.HSFM
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@ -363,7 +337,7 @@ class EyeProcessor:
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self.thirdalgo = self.HSFM
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elif self.settings.gui_HSF and self.settings.gui_HSFP == 4:
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self.fourthalgo = self.HSFM
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if self.settings.gui_RANSAC3D and self.settings.gui_RANSAC3DP == 1:
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self.firstalgo = self.RANSAC3DM
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elif self.settings.gui_RANSAC3D and self.settings.gui_RANSAC3DP == 2:
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@ -372,8 +346,8 @@ class EyeProcessor:
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self.thirdalgo = self.RANSAC3DM
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elif self.settings.gui_RANSAC3D and self.settings.gui_RANSAC3DP == 4:
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self.fourthalgo = self.RANSAC3DM
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if self.settings.gui_HSRAC and self.settings.gui_HSRACP == 1:
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if self.settings.gui_HSRAC == True and self.settings.gui_HSRACP == 1:
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self.firstalgo = self.HSRACM
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elif self.settings.gui_HSRAC and self.settings.gui_HSRACP == 2:
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self.secondalgo = self.HSRACM
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@ -381,7 +355,7 @@ class EyeProcessor:
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self.thirdalgo = self.HSRACM
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elif self.settings.gui_HSRAC and self.settings.gui_HSRACP == 4:
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self.fourthalgo = self.HSRACM
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if self.settings.gui_BLOB and self.settings.gui_BLOBP == 1:
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self.firstalgo = self.BLOBM
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elif self.settings.gui_BLOB and self.settings.gui_BLOBP == 2:
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@ -390,31 +364,31 @@ class EyeProcessor:
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self.thirdalgo = self.BLOBM
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elif self.settings.gui_BLOB and self.settings.gui_BLOBP == 4:
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self.fourthalgo = self.BLOBM
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f = True
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while True:
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# f = True
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# Check to make sure we haven't been requested to close
|
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# f = True
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||||
# Check to make sure we haven't been requested to close
|
||||
if self.cancellation_event.is_set():
|
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print("\033[94m[INFO] Exiting Tracking thread\033[0m")
|
||||
return
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||||
|
||||
|
||||
if self.config.roi_window_w <= 0 or self.config.roi_window_h <= 0:
|
||||
# At this point, we're waiting for the user to set up the ROI window in the GUI.
|
||||
# Sleep a bit while we wait.
|
||||
if self.cancellation_event.wait(0.1):
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||||
return
|
||||
continue
|
||||
|
||||
|
||||
|
||||
# If our ROI configuration has changed, reset our model and detector
|
||||
if (
|
||||
self.camera_model is None
|
||||
or self.detector_3d is None
|
||||
or self.camera_model.resolution
|
||||
!= (
|
||||
if (self.camera_model is None
|
||||
or self.detector_3d is None
|
||||
or self.camera_model.resolution != (
|
||||
self.config.roi_window_w,
|
||||
self.config.roi_window_h,
|
||||
)
|
||||
)
|
||||
):
|
||||
self.camera_model = CameraModel(
|
||||
focal_length=self.config.focal_length,
|
||||
@ -423,7 +397,7 @@ class EyeProcessor:
|
||||
self.detector_3d = Detector3D(
|
||||
camera=self.camera_model, long_term_mode=DetectorMode.blocking
|
||||
)
|
||||
|
||||
|
||||
try:
|
||||
if self.capture_queue_incoming.empty():
|
||||
self.capture_event.set()
|
||||
@ -439,35 +413,41 @@ class EyeProcessor:
|
||||
|
||||
if not self.capture_crop_rotate_image():
|
||||
continue
|
||||
|
||||
|
||||
self.current_image_gray = cv2.cvtColor(
|
||||
self.current_image, cv2.COLOR_BGR2GRAY
|
||||
self.current_image, cv2.COLOR_BGR2GRAY
|
||||
)
|
||||
self.current_image_gray_clean = (
|
||||
self.current_image_gray.copy()
|
||||
) # copy this frame to have a clean image for blink algo
|
||||
# print(self.settings.gui_RANSAC3D)
|
||||
self.current_image_gray_clean = self.current_image_gray.copy() #copy this frame to have a clean image for blink algo
|
||||
# print(self.settings.gui_RANSAC3D)
|
||||
|
||||
# BLINK(self)
|
||||
|
||||
# cx, cy, thresh = HSRAC(self)
|
||||
# out_x, out_y = cal_osc(self, cx, cy)
|
||||
# if cx == 0:
|
||||
# self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, True)) #update app
|
||||
# else:
|
||||
# self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, self.blinkvalue))
|
||||
|
||||
# BLINK(self)
|
||||
|
||||
# cx, cy, thresh = RANSAC3D(self)
|
||||
# out_x, out_y = cal_osc(self, cx, cy)
|
||||
# self.output_images_and_update(thresh, EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, False)) #update app
|
||||
|
||||
|
||||
# cx, cy, larger_threshold = BLOB(self)
|
||||
# out_x, out_y = cal_osc(self, cx, cy)
|
||||
# self.output_images_and_update(larger_threshold, EyeInformation(InformationOrigin.BLOB, out_x, out_y, 0, False)) #update app
|
||||
|
||||
#center_x, center_y, frame = HSF(self) #run algo
|
||||
#out_x, out_y = cal_osc(self, center_x, center_y) #filter and calibrate
|
||||
#self.output_images_and_update(frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, False)) #update app
|
||||
|
||||
# cx, cy, thresh = HSRAC(self)
|
||||
# out_x, out_y = cal_osc(self, cx, cy)
|
||||
# if cx == 0:
|
||||
# self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, True)) #update app
|
||||
# else:
|
||||
# self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, self.blinkvalue))
|
||||
|
||||
# cx, cy, thresh = RANSAC3D(self)
|
||||
# out_x, out_y = cal_osc(self, cx, cy)
|
||||
# self.output_images_and_update(thresh, EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, False)) #update app
|
||||
|
||||
# cx, cy, larger_threshold = BLOB(self)
|
||||
# out_x, out_y = cal_osc(self, cx, cy)
|
||||
# self.output_images_and_update(larger_threshold, EyeInformation(InformationOrigin.BLOB, out_x, out_y, 0, False)) #update app
|
||||
|
||||
# center_x, center_y, frame = HSF(self) #run algo
|
||||
# out_x, out_y = cal_osc(self, center_x, center_y) #filter and calibrate
|
||||
# self.output_images_and_update(frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, False)) #update app
|
||||
|
||||
self.ALGOSELECT() # run our algos in priority order set in settings
|
||||
self.ALGOSELECT() #run our algos in priority order set in settings
|
||||
self.BLINKM()
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
@ -19,7 +19,7 @@
|
||||
@@@@@@@@@@@@@@@@@
|
||||
@@@@@@@@@@@@@(
|
||||
|
||||
RANSAC 3D By: Summer#2406 (Main Algorithm Engineer), Pupil Labs (pye3d), PallasNeko (Optimization)
|
||||
RANSAC 3D By: Summer#2406 (Main Algorithm Engineer), Pupil Labs (pye3d), Sean.Denka (Optimization)
|
||||
Algorithm App Implimentations By: Prohurtz#0001, qdot (Inital App Creator)
|
||||
|
||||
Copyright (c) 2022 EyeTrackVR <3
|
||||
|
||||
Loading…
Reference in New Issue
Block a user