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albanie
shot-detection-benchmarks
Jupyter Notebook2016–2019
albanie / shot-detection-benchmarks

shot-detection-benchmarks

A comparison of ffmpeg, Shotdetect and PySceneDetect for shot transition detection

2Distinct people
2Mentions
0Explicit recommenders
126GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A comparison of ffmpeg, Shotdetect and PySceneDetect for shot transition detection

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year2 dated mentions

Observed mentions: 2016-03-30 17:11:18 UTC to 2019-09-01 19:10:39 UTC.

012016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC110
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101

What Hacker News says

2 sources
Funny you should mention that - initially home videos were what I was doing this with, as I was unable to find any existing programs that could handle them reliably (or had various shortcomings, or weren't hackable/extensible, etc...). Then I realized that what I came up with actually competed pretty well with the existing solutions (benchmarks below [1]), so decided to open source it and share it with the world. Of course, the project is still very basic in it's current form, but does offer a good platform for testing more advanced scene detection methodologies (and has also been used as a baseline in various research/academic contexts). There's been plenty of suggestions for other detection methods (e.g. using histograms) which I'm very interested in looking into adding for future releases. Lastly, one thing I do want to address going
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forwards is the performance, to make the algorithms more suitable for real-time systems (have decided to rewrite the core algorithms in C++ when I have some time, and interface that with the Python library/CLI). That being said, I'm always open to feedback or different ways of approaching things. If you or anyone else has any feedback or suggestions, feel free to create a new issue on the Github issue tracker [2] and I would be happy to discuss the possibility of including it in a future release of PySceneDetect. [1] https://github.com/albanie/shot-detection-benchmarks [2] https://github.com/Breakthrough/PySceneDetect/issues
In PySceneDetect – A tool for detecting scenes in movies

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