correct blur and learning rate
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@@ -9,7 +9,9 @@ from cv2util import to_8_bit_image
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from string import digits as DIGITS
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from string import digits as DIGITS
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class BackgroundHeatmap:
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class BackgroundHeatmap:
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def __init__(self, first_frame):
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def __init__(self, first_frame, append_blur=True, learning_rate=0.0003):
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self.append_blur = append_blur
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self.learning_rate = learning_rate
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self.heatmap = np.array([])
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self.heatmap = np.array([])
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self.backsub = cv2.createBackgroundSubtractorMOG2()
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self.backsub = cv2.createBackgroundSubtractorMOG2()
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# self.backsub = cv2.createBackgroundSubtractorKNN()
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# self.backsub = cv2.createBackgroundSubtractorKNN()
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@@ -20,7 +22,9 @@ class BackgroundHeatmap:
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# ret, frame = self.cap.read()
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# ret, frame = self.cap.read()
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# # self.backsub.apply(cv2.blur(frame,(5,5)))
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# # self.backsub.apply(cv2.blur(frame,(5,5)))
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# self.backsub.apply(frame)
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# self.backsub.apply(frame)
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self.lastframe = self.backsub.apply(cv2.blur(first_frame,(5,5))) # don't forget blur here if re applying blur
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if self.append_blur:
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frame = cv2.blur(first_frame,(5,5))
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self.lastframe = self.backsub.apply(frame, self.learning_rate)
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self.lastsum = self.to_floats(self.lastframe)
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self.lastsum = self.to_floats(self.lastframe)
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@staticmethod
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@staticmethod
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@@ -40,7 +44,9 @@ class BackgroundHeatmap:
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return cv2.applyColorMap(frame, cv2.COLORMAP_JET)
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return cv2.applyColorMap(frame, cv2.COLORMAP_JET)
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def update(self, frame):
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def update(self, frame):
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self.lastframe = self.backsub.apply(cv2.blur(frame,(5,5)))
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if self.append_blur:
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frame = cv2.blur(frame,(5,5))
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self.backsub.apply(frame, self.lastframe, self.learning_rate)
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self.lastsum += self.to_floats(self.lastframe)
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self.lastsum += self.to_floats(self.lastframe)
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self.heatmap = self.gray_to_heat(
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self.heatmap = self.gray_to_heat(
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self.float_to_gray(
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self.float_to_gray(
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