Normalize motion data in chunks

[NickM-27]

Large motion in one moment in time still had the chance to affect the entire scale for motion on the timeline. This PR normalizes the motion data in hourly chunks to ensure consistent and more representative data

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[xconverge]

@NickM-27 heads up that I saw the following log message, if you want me to open an issue I can

2024-04-28 14:10:51.595747885  /opt/frigate/frigate/api/review.py:464: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[  0.          10.71428571 100.          51.78571429]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
2024-04-28 14:10:51.595757132    df.iloc[i : i + chunk, 0] = (
2024-04-28 14:11:12.117551576  /opt/frigate/frigate/api/review.py:464: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[  0.          10.71428571 100.          51.78571429]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
2024-04-28 14:11:12.117556276    df.iloc[i : i + chunk, 0] = (

[NickM-27]

Thanks, I think that should be easy to fix