Issue on page /basic_tutorials/03_detector_vids.html: Long video recording
- Dominant language
- Python
- Stars
- 388
- Forks
- 95
- Avg merge
- 54m
- Merged PRs (30d)
- 3
Description
- For an 18-minute single-person video recording, it takes me an approximated (still running) 30 hours to derive the features w/ the code.
- When I split the video recording into one-minute segment, each segment only takes 10 mins to run. I
- Is it principled for me to use the 2nd approach?
- As I'm trying to derive features for each second of the video, I've made sure skip_frames is set to the # of frames per second (which is 25 in my case).
Contributor guide
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Research direction
Start with the workflow shown in /basic_tutorials/03_detector_vids.html and reproduce feature extraction for the 18-minute video and one-minute segments using skip_frames=25. Measure the runtime and determine whether the difference indicates a performance problem or an expected processing constraint; document the principled recommended workflow and any actionable fix.
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Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100