Note

This is a community plugin, an external project maintained by its respective author. Community plugins are not part of FiftyOne core and may change independently. Please review each plugin’s documentation and license before use.

GitHub Repo

Video Sensor Data-Sync FiftyOne Plugin#

A FiftyOne plugin that syncs any per-frame numeric sensor data with video — frame-accurate and driven entirely by a declarative schema — via two modal panels (traces + gauges) that track the video timeline during playback. Sync runs both ways: the panels follow playback, and clicking a point in the traces seeks the video to that frame. No per-dataset code: author a schema once, load your data with the loader convention, and the panels pick up the rest.

Requires

  • FiftyOne ≥ 1.17

  • Python ≥ 3.11

Installation#

Install directly from GitHub with FiftyOne’s plugin download command:

fiftyone plugins download https://github.com/Burhan-Q/fo-video-sensor-data-sync
For local development

Clone the repository and symlink it into your FiftyOne plugins directory instead:

git clone https://github.com/Burhan-Q/fo-video-sensor-data-sync
mkdir -p "$(fiftyone config plugins_dir)/@Burhan-Q"
ln -s "$(pwd)/fo-video-sensor-data-sync" "$(fiftyone config plugins_dir)/@Burhan-Q/fo-video-sensor-data-sync"

(The plugins directory defaults to ~/fiftyone/__plugins__; set FIFTYONE_PLUGINS_DIR to override it.)

No build step is required, the runtime bundle (dist/index.umd.js) ships committed in this repository, unless modifying the panel source code.

Quickstart#

Demo Examples#

Try a shipped example with the self-resolving demo script, note you must provide a real video filepath from your local computer:

PLUGIN="$(fiftyone config plugins_dir)/@Burhan-Q/fo-video-sensor-data-sync"
python "$PLUGIN/examples/load_demo.py" \
    /path/to/video.mp4 --example vehicle_controls

This attaches the chosen example’s schema and synthetic per-frame data to your video as a new sample and launches the FiftyOne App. Open that sample’s modal to see the Sensor Traces and Sensor Gauges panels, synced to the video timeline. You will need to click the + at the top of the Sample Modal to add the panels, and then you can arrange them as needed. See the documentation on configuring Spaces in the FiftyOne App if needed. When done, return to the terminal and press Ctrl+C. The demo dataset is temporary and cleans itself up. Alternatively, if you already have an App session open, pass --no-launch to load into a persistent dataset instead.

Loading Custom Data#

Load your own data: author a YAML schema describing your entities and channels (see SCHEMA.md for the full contract), and prepare a wide-format JSON or CSV file of per-frame rows, with columns named by the field-name convention (one row per frame). Then load it with the import_sensor_data operator — a normal FiftyOne operator you can call directly from the SDK:

import fiftyone as fo
import fiftyone.operators as foo

dataset = fo.Dataset("my-sensor-data", persistent=True)  # or fo.load_dataset("...")
import_sensor_data = foo.get_operator(
    "@Burhan-Q/fo-video-sensor-data-sync/import_sensor_data"
)
# Creates one (1) FiftyOne sample
import_sensor_data(
    dataset,                  # FiftyOne dataset 
    video_path="drive.mp4",   # sample video
    frames_path="drive.json", # per-frame sensor data
    schema="schema.yaml",     # path to data schema YAML file
    cap_id="run-1",           # activation id written on the sample (see Activation)
)

schema must be a path to a schema YAML file (an inline dict is not supported — the operator validates its params before running, and that validation only declares a schema_path string property). You can also copy examples/load_demo.py as a starting point if you’d rather script the load end to end; it self-resolves the plugin directory the same way.

Validate YAML Schema#

Both YAML schema and a single data file can be validated, or just he YAML schema. Validation can be run without FiftyOne running, by invoking the validator directly from its file path:

PLUGIN="$(fiftyone config plugins_dir)/@Burhan-Q/fo-video-sensor-data-sync"
python "$PLUGIN/sensor/validate.py" \
    "$PLUGIN/examples/vehicle_controls/schema.yaml" \
    "$PLUGIN/examples/vehicle_controls/data.json"

This prints OK if the schema (and data, if given) is valid, or lists each problem found otherwise. The loader runs these same structural checks automatically on import — fail-fast: an invalid schema raises with the full list of problems before anything is written — so validating standalone first is optional, but it lets you catch mistakes without launching FiftyOne. See Schema validation for exactly what is checked.

Schema at a glance#

Everything the panels render is driven by one declarative schema — no per-dataset code. Author it once; the loader stamps it onto dataset.info["sensor_schema"], and the panels pick up the rest. A minimal single-entity schema:

version: 1
frame_field: frame_number
frame_base: 1
fps_field: fps

entities:
  - name: ego
    label: Ego

channels:
  - key: velocity
    label: Velocity
    unit: kph
    scope: entity
    range: [0, 240]
    gauge: radial
    trace: true

  - key: steering
    label: Steering
    scope: entity
    range: [-1, 1]
    gauge: signed
    trace: true

See SCHEMA.md for the full contract — every key, the field-name convention, gauge types, validation rules, and the sample-level summary fields the loader writes. Two full, runnable schemas live under examples/.

Activation#

The two panels — Sensor Traces and Sensor Gauges — appear on any video dataset whose samples carry a cap_id field. When active, their render config is read from dataset.info["sensor_schema"]. If a video dataset has no cap_id field on its samples, the panels do not activate for that dataset.

Gauges Panel#

FiftyOne Plugin Video Sensor Data-Sync Gauges panel preview.

Traces Panel#

FiftyOne Plugin Video Sensor Data-Sync Traces panel preview

Known limitations#

  • Modal-only surface. The synced experience needs the sample-modal video timeline; the panels do not appear on the grid surface, which has no per-sample modal timeline and so cannot reproduce the synced playhead. This is a deliberate trade-off, not an oversight.

  • Shared modal layout storage. As of FiftyOne 1.17, the modal layout is stored as a single global localStorage blob shared across all datasets, with no per-dataset scoping or pruning. This means deactivated panels can occasionally linger as harmless, cosmetic “ghost” tabs when you switch to a different dataset, until you close them manually.

  • Forkers: never mutate the global modal layout. Because that layout storage is global and unscoped, a plugin that tries to “clean up” or evict its own panel from it risks corrupting the layout for every dataset, not just its own — including by your panels. Treat it as read-only.

  • Frame-accuracy, precisely defined. Synchronization is achieved via a per-frame sidecar indexed to video frames (see the field-name convention in SCHEMA.md) — it tracks frame numbers, not wall-clock or sub-frame timing beyond what the source data provides.

Repo structure#

fo-video-sensor-data-sync/
 __init__.py              # Plugin entry point: registers the two operators (panels register in src/js/index.tsx)
 fiftyone.yml              # Plugin manifest (name, version, panels, operators)
 sensor/                   # Python package: schema-driven loading + querying
    __init__.py
    loader.py              # Wide-format JSON/CSV -> per-frame FiftyOne fields
    query.py                # Reads sensor_schema + per-frame fields for the panels
    validate.py             # sensor_schema structural validation (+ CLI)
 src/js/                   # Panel front-end (React/TypeScript source)
 dist/index.umd.js         # Committed, pre-built runtime bundle (no build step needed)
 examples/                  # Runnable example schemas + synthetic data
    README.md               # Overview of the shipped examples
    load_demo.py            # Self-resolving demo script (see Quickstart)
    vehicle_controls/       # schema.yaml + data.json + README.md
    drone_flight/           # schema.yaml + data.json + README.md
 package.json               # JS package metadata + build scripts
 vite.config.mts            # Vite build config for the JS bundle
 tsconfig.json              # TypeScript config
 pyproject.toml             # Python package metadata
 README.md                  # This file
 SCHEMA.md                  # The sensor_schema contract (full reference)
 LICENSE                    # Apache-2.0

License#

Apache-2.0. See LICENSE.