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2111lidongyang/Smart-Library-System-Based-on-Computer-Vision

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一直以来人们使用传统的人工方式管理图书资料。这种方式存在着许多缺点,如效率低、保密性差且较为繁琐。目前市场上有着很多基于RFID的智慧图书馆,但他们都有着成本高的缺点。我们的智慧图书管理有着众多优点,在不使用RFID技术同样实现读者在自助借还书机通过人脸识别,实现自助借还图书、批量还书。也可以在移动端扫码借书。界面简洁、操作智能、人机交互、简

active 2025-03-282025-09-23 (UTC)

Complete coverage26,618 / 26,618 hourly files (100%) · 2 absent upstream2023-08-152026-08-28 (UTC)
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 180 days from 2025-03-28 to 2025-09-23. Pushes: 1 total, peak 1 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: 1 total, peak 1 in a day.

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  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
2111lidongyang1100

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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.