forked from Github/frigate
refactor motion calculation (#10380)
* refactor motion calculation * Use float
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@@ -404,6 +404,9 @@ def motion_activity():
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# normalize data
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# normalize data
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df = df.resample(f"{scale}S").sum().fillna(0.0)
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df = df.resample(f"{scale}S").sum().fillna(0.0)
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mean = df["motion"].mean()
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std = df["motion"].std()
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df["motion"] = (df["motion"] - mean) / std
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df["motion"] = (
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df["motion"] = (
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(df["motion"] - df["motion"].min())
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(df["motion"] - df["motion"].min())
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/ (df["motion"].max() - df["motion"].min())
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/ (df["motion"].max() - df["motion"].min())
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