这个项目旨在通过深度学习技术实现对图像的自动分类。使用的是基于 PyTorch 框架的卷积神经网络（CNN），特别是通过预训练的 ResNet18 模型来提高分类准确性。项目包含了从数据预处理、模型训练到最终的图像分类处理的完整流程。它能够将图像准确地分类为两个主要类别：人物和风景，从而适用于自动化图像管理和分类任务。
active 2023-11-17 → 2024-03-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 129 days from 2023-11-17 to 2024-03-24. Pushes: 2 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: 0 total, peak 0 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Tomclanc | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.