FiftyOne Timestamps

This plugin provides operators to compute datetime related fields based on samples' filepath or created_at date.

This enables you to filter your dataset by:

datetime time range
weekday where 0 is monday and 6 is sunday
time where 6.5 would be 6am and 19.0 would be 7pm
timeofday based on provided geolocation can be one of dawn, sunrise, morning, day, evening, sunset, dusk, night

Installation

fiftyone plugins download https://github.com/mmoollllee/fiftyone-timestamps/

Python SDK

You can use the compute operators from the Python SDK!

import fiftyone as fo
import fiftyone.operators as foo

dataset = fo.load_dataset("existing-dataset")

compute_timestamps = foo.get_operator("@mmoollllee/timestamps/compute_timestamps")

## Compute from filepath with custom regex pattern where filenames look like `image-2024-12-30_23-59-59.jpg`
compute_timestamps(dataset, source="filepath", regex=r".*([0-9]{4})-?([0-9]{2})-?([0-9]{2})_([0-9]{2})?-?([0-9]{2})?-?([0-9]{2})?.*?", timezone="Europe/Berlin")

## Compute from created_at
compute_timestamps(dataset, source="created_at", timezone="Europe/Berlin")

## If geo[lat, long] is set, `timeofday` will be computed with "sunrise", "dawn, "morning", "day", "evening", "sunset", "dusk", "night"
compute_timestamps(dataset, geo=[48.12345,9.12345], timezone="Europe/Berlin")

ToDos

Implement timeofday field with Daytime / Nighttime / Morning / Evening by using suntime