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https://github.com/EyeTrackVR/EyeTrackVR.git
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fix: tune LEAP filter
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@ -75,11 +75,11 @@ class EyeTrackSettingsConfig(BaseModel):
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osc_right_eye_x_address: str = "/avatar/parameters/RightEyeX"
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osc_right_eye_x_address: str = "/avatar/parameters/RightEyeX"
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osc_eyes_y_address: str = "/avatar/parameters/EyesY"
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osc_eyes_y_address: str = "/avatar/parameters/EyesY"
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osc_invert_eye_close: bool = False
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osc_invert_eye_close: bool = False
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gui_RANSACBLINK: bool = True
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gui_RANSACBLINK: bool = False
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gui_legacy_ransac: bool = False
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gui_legacy_ransac: bool = False
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gui_legacy_ransac_thresh_right: int = 80
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gui_legacy_ransac_thresh_right: int = 80
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gui_legacy_ransac_thresh_left: int = 80
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gui_legacy_ransac_thresh_left: int = 80
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gui_LEAP_lid: bool = False
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gui_LEAP_lid: bool = True
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gui_osc_vrcft_v1: bool = False
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gui_osc_vrcft_v1: bool = False
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gui_osc_vrcft_v2: bool = False
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gui_osc_vrcft_v2: bool = False
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gui_vrc_native: bool = True
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gui_vrc_native: bool = True
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@ -358,9 +358,12 @@ class EllipseBasedPupilDilation:
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maxp = float(self.data[int_y, int_x])
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maxp = float(self.data[int_y, int_x])
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minp = float(self.maxval)
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minp = float(self.maxval)
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eyedilation = (pupil_area - maxp) / (
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try:
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minp - maxp
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eyedilation = (pupil_area - maxp) / (
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) # for whatever reason when input and maxp are too close it outputs high
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minp - maxp
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) # for whatever reason when input and maxp are too close it outputs high
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except:
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eyedilation = 0.5
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eyedilation = 1 - eyedilation
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eyedilation = 1 - eyedilation
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if outputSamples > 0:
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if outputSamples > 0:
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@ -118,8 +118,8 @@ class LEAP_C(object):
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process.nice(psutil.BELOW_NORMAL_PRIORITY_CLASS) # Windows
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process.nice(psutil.BELOW_NORMAL_PRIORITY_CLASS) # Windows
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process.nice()
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process.nice()
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# See https://learn.microsoft.com/en-us/windows/win32/api/processthreadsapi/nf-processthreadsapi-getpriorityclass#return-value for values
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# See https://learn.microsoft.com/en-us/windows/win32/api/processthreadsapi/nf-processthreadsapi-getpriorityclass#return-value for values
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min_cutoff = 0.9
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min_cutoff = 0.1
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beta = 5.0
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beta = 10.0
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# print(np.random.rand(22, 2))
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# print(np.random.rand(22, 2))
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# noisy_point = np.array([1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1])
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# noisy_point = np.array([1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1])
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self.one_euro_filter = OneEuroFilter(
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self.one_euro_filter = OneEuroFilter(
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@ -235,7 +235,6 @@ def RANSAC3D(self, hsrac_en):
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ransac_xy_offset,
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ransac_xy_offset,
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) = get_center_noclamp((self.rawx, self.rawy), self.radius)
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) = get_center_noclamp((self.rawx, self.rawy), self.radius)
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print(self.current_image_gray_clean.size, ransac_lower_x, ransac_upper_y)
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frame = safe_crop(
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frame = safe_crop(
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self.current_image_gray_clean,
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self.current_image_gray_clean,
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int(ransac_lower_x),
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int(ransac_lower_x),
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