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TJdpl/Gesture-Recognition-RPS

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本项目使用Pytorch框架搭建了一个简单的CNN模型,训练了三个手势的数据集,分别是石头、剪刀、布(以及人脸),用于训练模型。然后,使用PyQt5框架搭建了一个GUI界面,实时检测画面中的手势,并将结果反馈在一个文本框中。

active 2024-12-012025-05-25 (UTC)

Complete coverage26,674 / 26,674 hourly files (100%) · 2 absent upstream2023-08-152026-08-30 (UTC)
Events
6
Pushes
1
Pull requests
0
Issues
0
Stars
3
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 176 days from 2024-12-01 to 2025-05-25. 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: 3 total, peak 1 in a day.

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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
TJdpl1100

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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.