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Normalize motion data in chunks (#10497)

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Nicolas Mowen 2024-03-17 06:30:39 -06:00 committed by GitHub
parent 1983de6528
commit 4e7808ac0c
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1 changed files with 11 additions and 5 deletions
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frigate/api/review.py
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@ -390,9 +390,15 @@ def motion_activity():
.apply(lambda x: max(x, key=abs, default=0.0)) .apply(lambda x: max(x, key=abs, default=0.0))
.fillna(0.0) .fillna(0.0)
) )
df["motion"] = (
(df["motion"] - df["motion"].min()) length = df.shape[0]
/ (df["motion"].max() - df["motion"].min()) chunk = int(60 * (60 / scale))
for i in range(0, length, chunk):
part = df.iloc[i : i + chunk]
df.iloc[i : i + chunk, 0] = (
(part["motion"] - part["motion"].min())
/ (part["motion"].max() - part["motion"].min())
* 100 * 100
) )