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mmalam3/Document-Denoising-Convolutional-Autoencoder-using-TensorFlow

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A Convolutional Autoencoder (CAE) to remove noise from document images and reconstruct them without losing important information. I used TensorFlow, OpenCV, Scikit-Learn, and Python to develop this autoencoder.

active 2024-01-15 → 2024-08-14 (UTC)

Complete coverage26,459 / 26,459 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-21 (UTC)
Events
5
Pushes
0
Pull requests
0
Issues
1
Stars
3
Forks
1

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Line chart, 213 days from 2024-01-15 to 2024-08-14. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 3 total, peak 1 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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kerberosargos1000

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  • Issue#1kerberosargos2024-08-14 12:28
    How to inference single image?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.