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Explicitly set dtype to reduce memory usage and fix warning

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This commit is contained in:
Nicolas Mowen 2024-04-28 19:16:43 -06:00
parent 8c610bea49
commit c08b78d5eb
1 changed files with 3 additions and 0 deletions
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frigate/api/review.py
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@ -440,6 +440,7 @@ def motion_activity():
# 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", "camera"]) df = pd.DataFrame(data, columns=["start_time", "motion", "camera"])
df = df.astype(dtype={"motion": "float16"})
# set date as datetime index # set date as datetime index
df["start_time"] = pd.to_datetime(df["start_time"], unit="s") df["start_time"] = pd.to_datetime(df["start_time"], unit="s")
@ -517,6 +518,8 @@ def audio_activity():
# 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", "audio"]) df = pd.DataFrame(data, columns=["start_time", "audio"])
df = df.astype(dtype={"audio": "float16"})
# set date as datetime index # set date as datetime index
df["start_time"] = pd.to_datetime(df["start_time"], unit="s") df["start_time"] = pd.to_datetime(df["start_time"], unit="s")