https://github.com/avrabyt/image-compressor
🛠Dimensionality Reduction demo tools ! 🚀 SVD and PCA for Image compression 🎃 Check the app out !✨
https://github.com/avrabyt/image-compressor
dimensionality-reduction machine-learning pca principal-component-analysis python singular-value-decomposition streamlit tutorial
Last synced: 11 months ago
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🛠Dimensionality Reduction demo tools ! 🚀 SVD and PCA for Image compression 🎃 Check the app out !✨
- Host: GitHub
- URL: https://github.com/avrabyt/image-compressor
- Owner: avrabyt
- License: mit
- Created: 2022-10-29T08:53:10.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-11-08T22:19:30.000Z (about 3 years ago)
- Last Synced: 2025-01-04T04:16:03.761Z (about 1 year ago)
- Topics: dimensionality-reduction, machine-learning, pca, principal-component-analysis, python, singular-value-decomposition, streamlit, tutorial
- Language: Python
- Homepage: https://image-compression.streamlit.app
- Size: 17.7 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Image-Compressor
Image compression using Singular Value Decomposition (SVD) and Principal Component Analysis (PCA) method.
Try the app [here](https://svd-image-compression.streamlitapp.com/).
# 1. Demo - SVD

# 2. Demo - PCA

## Video tutorial
See the tutorial video
[](https://youtu.be/J2jBTFovWH8)
# Resources
- https://www.frankcleary.com/svdimage/
- https://jonathan-hui.medium.com/machine-learning-singular-value-decomposition-svd-principal-component-analysis-pca-1d45e885e491
More resources I collected from my linkdin [post](https://www.linkedin.com/feed/update/urn:li:ugcPost:6992121144770236416?commentUrn=urn%3Ali%3Acomment%3A%28ugcPost%3A6992121144770236416%2C6993137971709288448%29&dashCommentUrn=urn%3Ali%3Afsd_comment%3A%286993137971709288448%2Curn%3Ali%3AugcPost%3A6992121144770236416%29) comment section (from Joris Snellenburg):
- [Demo+concept](http://timbaumann.info/svd-image-compression-demo/)
- [Youtube tutorial by
Steve Brunton](https://www.youtube.com/watch?v=H7qMMudo3e8)