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add cv2.normalize function
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c4338c95b2
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@ -280,7 +280,8 @@ class EyeProcessor:
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pass
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else:
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self.cct = self.cct - 1
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blankarray = np.zeros((240,240))
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self.current_image_gray = cv2.normalize(self.current_image_gray, blankarray , 65, 255, cv2.NORM_MINMAX)
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_, larger_threshold = cv2.threshold(self.current_image_gray, int(self.config.threshold + 12), 255, cv2.THRESH_BINARY)
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# Blob tracking requires that we have a vague idea of where the eye may be at the moment. This
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# means we need to have had at least one successful runthrough of the Pupil Labs algorithm in
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@ -487,6 +488,8 @@ class EyeProcessor:
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# The goal of thresholding settings is to make sure we can ONLY see the pupil. This is why we
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# crop the image earlier; it gives us less possible dark area to get confused about in the
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# next step.
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blankarray = np.zeros((240,240))
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self.current_image_gray = cv2.normalize(self.current_image_gray, blankarray , 65, 255, cv2.NORM_MINMAX)
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self.current_image_gray = cv2.cvtColor(
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self.current_image, cv2.COLOR_BGR2GRAY
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)
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