== None as None
! = None as not None
This commit is contained in:
PallasNeko 2023-02-01 02:36:41 +09:00
parent 582255a698
commit b736fa7f8d

View File

@ -1,4 +1,4 @@
'''
"""
------------------------------------------------------------------------------------------------------
,@@@@@@
@ -28,7 +28,7 @@ Additional Contributors: [Assassin], Summer404NotFound, lorow, ZanzyTHEbar
Copyright (c) 2022 EyeTrackVR <3
------------------------------------------------------------------------------------------------------
'''
"""
from operator import truth
from dataclasses import dataclass
@ -98,7 +98,7 @@ async def delayed_setting_change(setting, value):
await asyncio.sleep(5)
setting = value
if sys.platform.startswith("win"):
PlaySound('Audio/compleated.wav', SND_FILENAME | SND_ASYNC)
PlaySound("Audio/compleated.wav", SND_FILENAME | SND_ASYNC)
class EyeProcessor:
@ -150,7 +150,6 @@ class EyeProcessor:
self.cccs = False
self.ts = 10
self.previous_rotation = self.config.rotation_angle
self.calibration_frame_counter
self.camera_model = None
self.detector_3d = None
@ -175,17 +174,17 @@ class EyeProcessor:
min_cutoff = float(self.settings.gui_min_cutoff) # 0.0004
beta = float(self.settings.gui_speed_coefficient) # 0.9
except:
print('\033[93m[WARN] OneEuroFilter values must be a legal number.\033[0m')
print("\033[93m[WARN] OneEuroFilter values must be a legal number.\033[0m")
min_cutoff = 0.0004
beta = 0.9
noisy_point = np.array([1, 1])
self.one_euro_filter = OneEuroFilter(
noisy_point,
min_cutoff=min_cutoff,
beta=beta
noisy_point, min_cutoff=min_cutoff, beta=beta
)
def output_images_and_update(self, threshold_image, output_information: EyeInformation):
def output_images_and_update(
self, threshold_image, output_information: EyeInformation
):
try:
image_stack = np.concatenate(
(
@ -198,7 +197,9 @@ class EyeProcessor:
self.previous_image = self.current_image
self.previous_rotation = self.config.rotation_angle
except: # If this fails it likely means that the images are not the same size for some reason.
print('\033[91m[ERROR] Size of frames to display are of unequal sizes.\033[0m')
print(
"\033[91m[ERROR] Size of frames to display are of unequal sizes.\033[0m"
)
pass
@ -248,9 +249,11 @@ class EyeProcessor:
def HSRACM(self):
# temporary implementation
cx, cy, thresh, gray_frame, uncropframe = External_Run_HSRACS().run(self.current_image_gray)
cx, cy, thresh, gray_frame, uncropframe = External_Run_HSRACS().run(
self.current_image_gray
)
self.current_image_gray = gray_frame
if self.prev_x == None:
if self.prev_x is None:
self.prev_x = cx
self.prev_y = cy
# print(self.prev_x, self.prev_y, cx, cy)
@ -262,10 +265,16 @@ class EyeProcessor:
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, eyeopen)) # update app
self.output_images_and_update(
thresh,
EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen),
) # update app
else:
self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen))
self.output_images_and_update(
thresh,
EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen),
)
# else:
# print("EYE MOVED TOO FAST")
@ -276,46 +285,64 @@ class EyeProcessor:
eyeopen = intense(cx, cy, self.current_image_gray)
out_x, out_y = cal_osc(self, cx, cy)
if cx == 0:
self.output_images_and_update(frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, eyeopen)) # update app
self.output_images_and_update(
frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, eyeopen)
) # update app
else:
self.output_images_and_update(frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, eyeopen))
self.output_images_and_update(
frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, eyeopen)
)
def RANSAC3DM(self):
cx, cy, thresh = RANSAC3D(self)
eyeopen = intense(cx, cy, self.current_image_gray)
out_x, out_y = cal_osc(self, cx, cy)
if cx == 0:
self.output_images_and_update(thresh, EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, eyeopen)) # update app
self.output_images_and_update(
thresh,
EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, eyeopen),
) # update app
else:
self.output_images_and_update(thresh, EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, eyeopen))
self.output_images_and_update(
thresh,
EyeInformation(InformationOrigin.RANSAC, out_x, out_y, 0, eyeopen),
)
def BLOBM(self):
cx, cy, thresh = BLOB(self)
eyeopen = intense(cx, cy, self.current_image_gray)
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, eyeopen)) # update app
self.output_images_and_update(
thresh,
EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen),
) # update app
else:
self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen))
self.output_images_and_update(
thresh,
EyeInformation(InformationOrigin.HSRAC, out_x, out_y, 0, eyeopen),
)
def ALGOSELECT(self):
if self.failed == 0 and self.firstalgo != None:
if self.failed == 0 and self.firstalgo is not None:
self.firstalgo()
else:
self.failed = self.failed + 1
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
if (
self.failed == 1 and self.secondalgo is not None
): # send the tracking algos previous fail number, in algo if we pass set to 0, if fail, + 1
self.secondalgo()
else:
self.failed = self.failed + 1
if self.failed == 2 and self.thirdalgo != None:
if self.failed == 2 and self.thirdalgo is not None:
self.thirdalgo()
else:
self.failed = self.failed + 1
if self.failed == 3 and self.fourthalgo != None:
if self.failed == 3 and self.fourthalgo is not None:
self.fourthalgo()
else:
self.failed = 0 # we have reached last possible algo and it is disabled, move to first algo
@ -328,7 +355,7 @@ class EyeProcessor:
self.fourthalgo = None
# set algo priorities
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
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
self.firstalgo = self.HSFM
elif self.settings.gui_HSF and self.settings.gui_HSFP == 2:
self.secondalgo = self.HSFM
@ -346,7 +373,7 @@ class EyeProcessor:
elif self.settings.gui_RANSAC3D and self.settings.gui_RANSAC3DP == 4:
self.fourthalgo = self.RANSAC3DM
if self.settings.gui_HSRAC == True and self.settings.gui_HSRACP == 1:
if self.settings.gui_HSRAC and self.settings.gui_HSRACP == 1:
self.firstalgo = self.HSRACM
elif self.settings.gui_HSRAC and self.settings.gui_HSRACP == 2:
self.secondalgo = self.HSRACM
@ -380,9 +407,11 @@ class EyeProcessor:
continue
# If our ROI configuration has changed, reset our model and detector
if (self.camera_model is None
if (
self.camera_model is None
or self.detector_3d is None
or self.camera_model.resolution != (
or self.camera_model.resolution
!= (
self.config.roi_window_w,
self.config.roi_window_h,
)
@ -414,7 +443,9 @@ class EyeProcessor:
self.current_image_gray = cv2.cvtColor(
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
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)