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Normalize motion data in chunks

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This commit is contained in:
Nicolas Mowen 2024-03-16 13:29:10 -06:00
parent 89bd3867a9
commit bc81490671
1 changed files with 11 additions and 5 deletions
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16
frigate/api/review.py
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@ -390,11 +390,17 @@ def motion_activity():
.apply(lambda x: max(x, key=abs, default=0.0))
.fillna(0.0)
)
df["motion"] = (
(df["motion"] - df["motion"].min())
/ (df["motion"].max() - df["motion"].min())
* 100
)
length = df.shape[0]
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
)
# change types for output
df.index = df.index.astype(int) // (10**9)