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pratikkmane/image-processing-project

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This repository showcases essential computer vision and image processing techniques using Python, NumPy, OpenCV, and Matplotlib. Key features include Sobel edge detection, Gaussian smoothing, and histogram equalization, with scripts and notebooks demonstrating their applications on sample images. Contributions to enhance the project are welcome.

active 2024-10-042024-10-04 (UTC)

Complete coverage26,616 / 26,616 hourly files (100%) · 2 absent upstream2023-08-152026-08-27 (UTC)
Events
7
Pushes
5
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-10-04 to 2024-10-04. Pushes: 5 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
pratikkmane5500

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.