[Feature Request] Video frame extraction

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
computer-vision, data

Research direction

Start by reviewing the linked VideoReader project and the upstream src/pcv/examples/stitching_advanced.py example to understand the referenced video-processing and stitching work. The issue lists several independent goals, so a contributor would first need a maintainer to select and define one scope; done criteria are not specified.

Written by the indexing model from the issue text.

Description

enhancement

Is your feature request related to a problem? Please describe.
Video data is often a useful source of images, but can be difficult to get synchronised with corresponding telemetry and other data. It is also frequently challenging to efficiently get "good" frames, by frame quality, by physical spacing, etc

Describe the solution you'd like

  • extract timestamped frames from QGroundControl-saved video (and other formats?)
  • a method for aligning video frames with corresponding telemetry and other data
  • a method of extracting the best (sharpest?) frame within a small time or area region
  • intelligent frame extraction that avoids large vibrations/acceleration
  • a method of extracting frames by distance travelled since last frame
  • a method of extracting frames in specific regions (waypoints)
  • a way of stitching frames together into a composite image
  • a way of aligning frames or composite images onto/into a map

Describe alternatives you've considered

alternative reason(s) why unsuitable
manual frame extraction slow, time-consuming, impractical
direct time-based extraction (e.g. ffmpeg, every nth second) imprecise, may get a bad frame even if the next one was great, doesn't make intelligent use of other available data

Additional context

Dominant language
Python
Stars
3
Forks
0
No merged PRs in 30d

Contributor guide

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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