Skip to content

Redamancy785/PyTorch-Implementation-of-U-Net-R2U-Net-Attention-U-Net-Attention-R2U-Net

View on GitHub ↗Related repositories →

该项目使用PyTorch实现了U-Net、R2U-Net、Attention U-Net以及Attention R2U-Net模型的训练。同时,对这四个模型的关键参数进行了详细的分析和比较,旨在更全面地评估各个模型的优缺点。/图像分割/深度学习/人工智能

active 2024-02-032026-01-02 (UTC)

Complete coverage26,739 / 26,739 hourly files (100%) · 2 absent upstream2023-08-152026-09-02 (UTC)
Events
36
Pushes
1
Pull requests
0
Issues
1
Stars
31
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 700 days from 2024-02-03 to 2026-01-02. Pushes: 1 total, peak 1 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: 31 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • 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
maoshi71000
Redamancy7851100

Recent activity

Latest issues, pull requests and releases

  • Issue#2maoshi72025-01-12 19:10
    关于如何进行单张图片的预测

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 31 stars here means stars gained during the window, not the repo's star count.