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test: add some filtering
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@ -241,7 +241,7 @@ class LEAP_C(object):
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per = 1 - per
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per = per - 0.2 # allow for eye widen? might require a more legit math way but this makes sense.
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per = min(per, 1.0) # clamp to 1.0 max
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per = max(per, 0.0) # clamp to 1.0 max
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per = max(per, 0.0) # clamp to 1.0 min
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# print("new: ", per, "vs old: ", oldper)
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@ -258,7 +258,7 @@ class LEAP_C(object):
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per = self.one_euro_filter_float(calib_array)
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per = per[0][0]
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print(per)
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# print(per)
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if per <= 0.2: # TODO: EXPOSE AS SETTING
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per == 0.0
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# this should be tuned, i could make this auto calib based on min from a list of per values.
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