Skip to content

TommyZihao/MMSegmentation_Tutorials

View on GitHub ↗Related repositories →

Jupyter notebook tutorials for MMSegmentation

active 2023-08-152026-05-05 (UTC)

Complete coverage26,732 / 26,732 hourly files (100%) · 2 absent upstream2023-08-152026-09-01 (UTC)
Events
723
Pushes
87
Pull requests
0
Issues
8
Stars
537
Forks
73

Activity over time

Daily event counts in the loaded window

Line chart, 995 days from 2023-08-15 to 2026-05-05. Pushes: 87 total, peak 15 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 8 total, peak 1 in a day. Comments: 18 total, peak 2 in a day. Stars: 537 total, peak 12 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
TommyZihao898702
SyJarvis3003
TingWu03002
Wei-Wu2333003
Saillxl2001
ggfly121382001
ZhaoCake1000
wyf04141001
yulongAI1000
qiangkd1001
achuansztu1000
pkyzh20061000
ycyxiaocaiji1001
xuhan1996061000
24232483621001
LuLu2kANG1001
kingofpizza31001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#11qiangkd2025-07-10 06:15
    跟着步骤,自己做了数据集,但是更改类别后,模型训练中报错
  • Issue comment#15ycyxiaocaiji2025-02-25 13:55
    一类100另外一类nan
  • Issue#15achuansztu2025-01-16 05:10
    一类100另外一类nan
  • Issue comment#11kingofpizza32024-07-22 06:29
    跟着步骤,自己做了数据集,但是更改类别后,模型训练中报错
  • Issue comment#13LuLu2kANG2024-07-08 08:50
    RuntimeError: stack expects each tensor to be equal size
  • Issue#14Saillxl2024-05-14 08:43
    交叉验证
  • Issue comment#9SyJarvis2024-04-20 01:03
    KeyError: 'ZihaoDataset is not in the mmseg::dataset registry.
  • Issue comment#9SyJarvis2024-04-17 07:21
    KeyError: 'ZihaoDataset is not in the mmseg::dataset registry.
  • Issue comment#924232483622024-04-17 07:21
    KeyError: 'ZihaoDataset is not in the mmseg::dataset registry.
  • Issue comment#9SyJarvis2024-04-09 07:30
    KeyError: 'ZihaoDataset is not in the mmseg::dataset registry.
  • Issue#13xuhan1996062024-03-26 11:07
    RuntimeError: stack expects each tensor to be equal size
  • Issue comment#11Saillxl2024-03-13 00:47
    跟着步骤,自己做了数据集,但是更改类别后,模型训练中报错
  • Issue comment#12ggfly121382024-02-02 01:26
    运行【k3】代码,批量预测时更改图像文件路径,多张图片预测报错ValueError: uri should not be None when "backend" does not exist in backend_args
  • Issue comment#12wyf04142024-01-15 10:04
    运行【k3】代码,批量预测时更改图像文件路径,多张图片预测报错ValueError: uri should not be None when "backend" does not exist in backend_args
  • Issue#12ggfly121382023-12-19 09:44
    运行【k3】代码,批量预测时更改图像文件路径,多张图片预测报错ValueError: uri should not be None when "backend" does not exist in backend_args
  • Issue comment#11Wei-Wu2332023-10-10 05:56
    跟着步骤,自己做了数据集,但是更改类别后,模型训练中报错
  • Issue comment#11Wei-Wu2332023-10-10 05:55
    跟着步骤,自己做了数据集,但是更改类别后,模型训练中报错
  • Issue comment#11TommyZihao2023-09-22 13:29
    跟着步骤,自己做了数据集,但是更改类别后,模型训练中报错
  • Issue comment#11Wei-Wu2332023-09-22 01:54
    跟着步骤,自己做了数据集,但是更改类别后,模型训练中报错
  • Issue#11yulongAI2023-09-02 13:38
    跟着步骤,自己做了数据集,但是更改类别后,模型训练中报错
  • Issue#10pkyzh20062023-08-30 09:32
    0215小鼠肾小球案例,E模型预测
  • Issue#7ZhaoCake2023-08-28 04:04
    [word not fit]”【H1】可视化训练日志-训练过程测试集总体评估指标.ipynb“的名称中测试集应改为训练集
  • Issue comment#9TingWu02023-08-22 02:21
    KeyError: 'ZihaoDataset is not in the mmseg::dataset registry.
  • Issue comment#9TingWu02023-08-22 02:19
    KeyError: 'ZihaoDataset is not in the mmseg::dataset registry.
  • Issue#9TingWu02023-08-22 02:17
    KeyError: 'ZihaoDataset is not in the mmseg::dataset registry.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 537 stars here means stars gained during the window, not the repo's star count.