A Key Frame is a location on a video timeline which marks the beginning or end of a smooth transition throughout the fotograms, Key Frame Detector try to look for the most representative and significant frames that can describe the movement or main events in a video using peakutils peak detection functions.
Installation
Requirements
- python3
- numpy
- opencv
- peakutils
- matplotlib
- PIL
pip install key-frame-detector
Metadata
Release files for video-keyframe-detector 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| video_keyframe_detector-0.1.0.tar.gz | 16.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| video_keyframe_detector-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.7 kB
Release files / video_keyframe_detector-0.1.0.tar.gz
| Download URL | video_keyframe_detector-0.1.0.tar.gz |
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| Size | 16.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.9.22
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Release files / video_keyframe_detector-0.1.0-py3-none-any.whl
| Download URL | video_keyframe_detector-0.1.0-py3-none-any.whl |
|---|---|
| Size | 16.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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