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https://github.com/EyeTrackVR/EyeTrackVR.git
synced 2025-11-04 14:39:42 +08:00
fix HSF
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parent
8e5836575e
commit
3fee1a4e53
@ -152,7 +152,7 @@ class EyeProcessor:
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self.out_x = 0.0
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self.rawx = 0.0
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self.rawy = 0.0
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self.eyeopen = 0.7
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self.eyeopen = 0.9
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# blink
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self.max_ints = []
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self.max_int = 0
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@ -351,7 +351,7 @@ class EyeProcessor:
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else:
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pass
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# todo: add process to initialise er_hsf when resolution changes
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self.rawx, self.rawy, self.thresh = self.er_hsf.run(self.current_image_gray)
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self.rawx, self.rawy, self.thresh, self.radius = self.er_hsf.run(self.current_image_gray)
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self.out_x, self.out_y = cal.cal_osc(self, self.rawx, self.rawy)
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self.current_algorithm = EyeInfoOrigin.HSF
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@ -446,7 +446,9 @@ class EyeProcessor:
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# set algo priorities
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if self.settings.gui_HSF:
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print('yes hsf')
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if self.er_hsf is None:
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print('yes none')
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if self.eye_id in [EyeId.LEFT]:
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self.er_hsf = External_Run_HSF(
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self.settings.gui_skip_autoradius,
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@ -486,7 +488,7 @@ class EyeProcessor:
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pass
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algolist[self.settings.gui_HSRACP] = self.HSRACM
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else:
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if self.er_hsf is not None:
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if not self.settings.gui_HSF and self.er_hsf is not None:
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self.er_hsf = None
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if self.settings.gui_DADDY:
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@ -144,6 +144,8 @@ class IntensityBasedOpeness:
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self.fc = 0
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self.filterlist = []
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self.averageList = []
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self.openlist = []
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self.eye_id = eye_id
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self.maxinten = 0
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@ -263,6 +265,12 @@ class IntensityBasedOpeness:
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# print('filter, assume blink')
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intensity = self.maxval
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# if intensity <= np.percentile( # TODO test this
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# self.filterlist, 1
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# ): # filter abnormally low values
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# print('filter, assume blink')
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# intensity = self.maxval
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# self.tri_filter.append(intensity)
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# if len(self.tri_filter) > 3:
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# self.tri_filter.pop(0)
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@ -353,6 +361,24 @@ class IntensityBasedOpeness:
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) # for whatever reason when input and maxp are too close it outputs high
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eyeopen = 1 - eyeopen
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if len(self.openlist) < 1000: # TODO expose as setting?
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self.openlist.append(eyeopen)
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else:
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if eyeopen >= np.percentile(self.openlist, 99) or eyeopen <= np.percentile(self.openlist, 1):
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pass
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else:
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self.openlist.pop(0)
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self.openlist.append(eyeopen)
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try:
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per = ((eyeopen - max(self.openlist)) / (min(self.openlist) - max(self.openlist)))
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eyeopen = 1 - per
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except:
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pass
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if outputSamples > 0:
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if len(self.averageList) < outputSamples:
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self.averageList.append(eyeopen)
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@ -361,6 +387,10 @@ class IntensityBasedOpeness:
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self.averageList.append(eyeopen)
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eyeopen = np.average(self.averageList)
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if changed and (
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(time.time() - self.lct) > 5
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): # save every 5 seconds if something changed to save disk usage
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@ -75,7 +75,7 @@ class LEAP_C(object):
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onnxruntime.disable_telemetry_events()
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# Config variables
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self.num_threads = 2 # Number of python threads to use (using ~1 more than needed to acheive wanted fps yeilds lower cpu usage)
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self.queue_max_size = 3 # Optimize for best CPU usage, Memory, and Latency. A maxsize is needed to not create a potential memory leak.
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self.queue_max_size = 2 # Optimize for best CPU usage, Memory, and Latency. A maxsize is needed to not create a potential memory leak.
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self.model_path = 'Models/mommy062023.onnx'
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self.interval = 1 # FPS print update rate
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self.low_priority = True # set process priority to low
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@ -121,6 +121,7 @@ class LEAP_C(object):
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)
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self.dmax = 0
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self.dmin = 0
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self.openlist = []
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self.x = 0
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self.y = 0
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@ -171,13 +172,20 @@ class LEAP_C(object):
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# print(pre_landmark)
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d = math.dist(pre_landmark[4], pre_landmark[12])
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if d > self.dmax:
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self.dmax = d
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if d < self.dmin:
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self.dmin = d
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if len(self.openlist) < 1000: # TODO expose as setting?
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self.openlist.append(d)
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else:
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if d >= np.percentile(self.openlist, 99) or d <= np.percentile(self.openlist, 1):
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pass
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else:
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self.openlist.pop(0)
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self.openlist.append(d)
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try:
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per = (((d - self.dmax)) / (self.dmin - self.dmax))
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per = ((d - max(self.openlist)) / (min(self.openlist) - max(self.openlist)))
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per = 1 - per
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except:
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pass
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