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This commit is contained in:
Nicolas Mowen 2024-03-04 17:32:37 -07:00
parent 3c28f4f598
commit 275dfe017e
1 changed files with 18 additions and 10 deletions
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22
frigate/api/review.py
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@ -271,9 +271,7 @@ def review_activity():
) )
# get scale in seconds # get scale in seconds
scale = request.args.get( scale = request.args.get("scale", type=int, default=30)
"scale", type=int, default=30
)
all_recordings: list[Recordings] = ( all_recordings: list[Recordings] = (
Recordings.select( Recordings.select(
@ -293,11 +291,13 @@ def review_activity():
data: list[dict[str, float]] = [] data: list[dict[str, float]] = []
for rec in all_recordings: for rec in all_recordings:
data.append({ data.append(
{
"start_time": rec.start_time, "start_time": rec.start_time,
"motion": rec.motion if rec.objects == 0 else 0, "motion": rec.motion if rec.objects == 0 else 0,
"audio": rec.dBFS if rec.objects == 0 else 0, "audio": rec.dBFS if rec.objects == 0 else 0,
}) }
)
# resample data using pandas to get activity on scaled basis # resample data using pandas to get activity on scaled basis
df = pd.DataFrame(data, columns=["start_time", "motion", "audio"]) df = pd.DataFrame(data, columns=["start_time", "motion", "audio"])
@ -308,8 +308,16 @@ def review_activity():
# normalize data # normalize data
df = df.resample(f"{scale}S").mean().fillna(0.0) df = df.resample(f"{scale}S").mean().fillna(0.0)
df["motion"] = (df["motion"] - df["motion"].min()) / (df["motion"].max() - df["motion"].min()) * 100 df["motion"] = (
df["audio"] = (df["audio"] - df["audio"].max()) / (df["audio"].min() - df["audio"].max()) * -100 (df["motion"] - df["motion"].min())
/ (df["motion"].max() - df["motion"].min())
* 100
)
df["audio"] = (
(df["audio"] - df["audio"].max())
/ (df["audio"].min() - df["audio"].max())
* -100
)
# change types for output # change types for output
df.index = df.index.astype(int) // (10**9) df.index = df.index.astype(int) // (10**9)