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LiamLiuXY/3D-Printer-Defect-Analysis

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Our project integrates Raspberry Pi, sensors, and a YOLO model to classify 3D printing defects in real-time. A Telegram chatbot interface provides users with interactive feedback, enhancing quality control and minimizing material wastage by identifying issues promptly.

active 2024-02-072024-08-28 (UTC)

Complete coverage27,149 / 27,151 hourly files (100%) · 2 absent upstream2023-08-152026-09-19 (UTC)
Events
23
Pushes
17
Pull requests
0
Issues
1
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 204 days from 2024-02-07 to 2024-08-28. Pushes: 17 total, peak 17 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: 1 total, peak 1 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
LiamLiuXY171700
Rushabh-parth1000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.