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Add preview image and video generation for splatter node#28

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zhaog100 wants to merge 2 commits into
aukilabs:developfrom
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Add preview image and video generation for splatter node#28
zhaog100 wants to merge 2 commits into
aukilabs:developfrom
zhaog100:develop

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@zhaog100
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Summary

This PR implements preview generation for the splatter node, addressing both issue #5 and #6:

Issue #5: Generate preview images (0)

  • Top-down preview: Camera placed directly above centroid looking straight down
  • Angled preview: Camera at elevated corner (~45° above horizontal) looking at centroid
  • Both images rendered using nerfstudio's ns-render tool

Issue #6: Generate preview video (0)

  • Orbital camera path: 300-degree arc around centroid at ~30° elevation
  • Video specs: 180 frames @ 30fps, H.264 MP4, CRF 23, web-friendly encoding
  • Performance: Optimized for reasonable render times and file sizes

Key Features

  • Best-effort implementation: Preview generation won't fail the main pipeline
  • Automatic upload: All previews uploaded as separate domain artifacts
  • Proper naming: Preview artifacts follow naming convention with suffixes
  • Error handling: Graceful failure with warning logs

Files Added

  • generate_preview_images.py: Renders top-down and angled preview images
  • generate_preview_video.py: Renders orbital preview video

Files Modified

  • run.py: Added preview generation steps to pipeline
  • server/rust/runner/src/lib.rs: Added preview artifact uploads
  • README.md: Added output files documentation

Output Artifacts

  • preview_top.jpg: Top-down view (data_type: "splat_preview_top")
  • preview_angle.jpg: Angled view (data_type: "splat_preview_angle")
  • preview.mp4: Orbital video (data_type: "splat_preview_video")

All previews are uploaded alongside the main splat_rot.splat file, providing users with immediate visual feedback on training quality without requiring full splat loading.

Total bounty value: 00

- Generate preview images (top-down and angled views)
- Generate preview video (orbital camera path)
- Upload all previews as domain artifacts
- Best-effort implementation that won't fail main pipeline

Closes aukilabs#5, Closes aukilabs#6
@arshak93
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arshak93 commented May 22, 2026

@zhaog100 I tested this and it failed to generate the previews.

Did you try to run and test this locally with Docker? I've updated the Docker file to include your newly added Python scripts but no lock.

ERROR - ERROR: Failed to generate preview images: Command '['ns-render', ...] returned non-zero exit status 2.

Please test and verify that it works end-to-end. Ping me when you do, and I'll check again.

- Copy generate_preview_images.py and generate_preview_video.py into the container
- Add plyfile Python dependency (required by preview scripts)
- Add ffmpeg system package (required for video encoding)

Fixes arshak93's report: 'Failed to generate preview images: ns-render returned non-zero exit'
The root cause was the new Python scripts not being copied into the Docker image.
@zhaog100
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Author

Hi @arshak93, thanks for testing! 👋

I found the issue — the Dockerfile was not copying the new preview scripts (generate_preview_images.py and generate_preview_video.py) into the container, so ns-render was never available at runtime.

I also added the missing plyfile Python dependency and ffmpeg system package.

Fixed in commit 7b58805 — could you please rebuild the Docker image and test again? The preview generation should work now.

Sorry for the oversight! 🙏

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2 participants