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Add frame_format parameter to VideoScene for PNG support
- Add FRAME_FORMAT_KEY constant - Add frame_format parameter to VideoScene dataclass - Update to_payload() to include frame_format when set - Supports 'jpeg' (default) or 'png' for lossless frame extraction - Bump version to 0.17.12
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CHANGELOG.md

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@@ -5,6 +5,22 @@ All notable changes to the [Nucleus Python Client](https://github.com/scaleapi/n
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [0.17.12](https://github.com/scaleapi/nucleus-python-client/releases/tag/v0.17.12) - 2026-01-26
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### Added
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- Added `frame_format` parameter to `VideoScene` for PNG frame extraction support. When uploading videos via `video_location`, you can now specify `frame_format="png"` for lossless frame extraction (defaults to `"jpeg"`).
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Example usage:
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```python
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scene = VideoScene(
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reference_id="my_video",
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video_location="s3://bucket/video.mp4",
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frame_format="png" # Use PNG for lossless frames
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)
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dataset.append(scenes=[scene])
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```
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## [0.17.11](https://github.com/scaleapi/nucleus-python-client/releases/tag/v0.17.11) - 2025-11-03
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nucleus/constants.py

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ERROR_CODES = "error_codes"
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ERROR_ITEMS = "upload_errors"
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ERROR_PAYLOAD = "error_payload"
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FRAME_FORMAT_KEY = "frame_format"
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FRAME_RATE_KEY = "frame_rate"
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FRAMES_KEY = "frames"
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FX_KEY = "fx"

nucleus/scene.py

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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
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from nucleus.constants import (
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FRAME_FORMAT_KEY,
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FRAME_RATE_KEY,
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FRAMES_KEY,
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IMAGE_LOCATION_KEY,
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Context Attachments may be provided to display the attachments side by side with the dataset
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item in the Detail View by specifying
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`{ "context_attachments": [ { "attachment": 'https://example.com/1' }, { "attachment": 'https://example.com/2' }, ... ] }`.
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frame_format (Optional[str]):
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Format for extracted video frames. When uploading a video_location, this determines
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the format used when extracting frames from the video. Valid values are "jpeg" (default)
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or "png" for lossless frame extraction.
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Refer to our `guide to uploading video data
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<https://nucleus.scale.com/docs/uploading-video-data>`_ for more info!
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attachment_type: Optional[str] = None
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tracks: List[Track] = field(default_factory=list)
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use_privacy_mode: bool = False
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frame_format: Optional[str] = None
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def __post_init__(self):
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if self.attachment_type:
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payload[FRAMES_KEY] = items_payload
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if self.tracks:
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payload[TRACKS_KEY] = [track.to_payload() for track in self.tracks]
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if self.frame_format:
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payload[FRAME_FORMAT_KEY] = self.frame_format
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return payload
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def to_json(self) -> str:

pyproject.toml

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[tool.poetry]
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name = "scale-nucleus"
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version = "0.17.11"
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version = "0.17.12"
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description = "The official Python client library for Nucleus, the Data Platform for AI"
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license = "MIT"
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authors = ["Scale AI Nucleus Team <nucleusapi@scaleapi.com>"]

tests/test_jobs.py

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)
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def test_job_listing_and_retrieval(CLIENT):
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jobs = CLIENT.list_jobs()
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assert len(jobs) > 0, "No jobs found"
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fetch_id = jobs[0].job_id
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fetched_job = CLIENT.get_job(fetch_id)
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# job_last_known_status can change
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fetched_job.job_last_known_status = jobs[0].job_last_known_status
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assert fetched_job == jobs[0]

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